Advertisement
| employee management system project in python: Python Programming Using Problem Solving Harsh Bhasin, 2023-06-28 Python is a robust, procedural, object-oriented, and functional language. The features of the language make it valuable for web development, game development, business, and scientific programming. This book deals with problem-solving and programming in Python. It concentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problems. In addition to standard Python topics, the book has extensive coverage of NumPy, data visualization, and Matplotlib. Numerous types of exercises, including theoretical, programming, and multiple-choice, reinforce the concepts covered in each chapter. FEATURES: Concentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problems Features both standard Python topics and also extensive coverage of NumPy, data visualization, and Matplotlib problem-solving techniques |
| employee management system project in python: Python Programming Projects with GUI for Beginners Vedant Bahel, Reema Thareja , 2021-02-26 This book is designed as a guide to cater the requirement of beginner level students willing to deploy Python projects. The objective of this book is to make students better understand about the use cases of Python fundamentals. The book majorly covers projects based on the following Python fundamentals: · Python variables · Python Control statements · Python functions · Python libraries · Python GUI for application development · Data management · Machine Learning Overall, the book assumes that the readers have prior knowledge of Python Programming Language. |
| employee management system project in python: Python Programming Projects & Practical for CBSE Class XI & XII Vedant Bahel, Reema Thareja , 2021-02-26 This book is designed as a guide to cater the requirement of beginner level high school (Class XI & XII CBSE) and university students willing to deploy Python projects. The objective of this book is to make students better understand about the use cases of Python fundamentals. Projects are also associated with development of Graphical User Interface for the application. The book majorly covers projects based on the following Python fundamentals: •Python variables •Python Control statements •Python functions •Python libraries •Python GUI for application development •Data management •Machine Learning This book also has solutions to all the python practical’s as per the latest CBSE syllabus for class XI and class XII. |
| employee management system project in python: ICPDI 2023 Md Rabiul Islam, Rongjuan Chen, Jing Ma, 2023-11-21 The 2nd International Conference on Public Management, Digital Economy and Internet Technology (ICPDI 2023) was successfully held on 1-3 September 2023 in Chongqing, China. This conference aimed to bring together researchers, scholars, and practitioners from various fields to exchange ideas and discuss advancements in the areas of public management, digital economy, and internet technology. The conference featured a diverse range of research topics, including but not limited to Public Management, Digital Economy and Internet Technology. The conference fostered a rich and stimulating intellectual environment. The program included keynote speeches by renowned experts in the field, parallel sessions for paper presentations, and panel discussions addressing emerging trends and challenges. The conference proceedings showcased a wide array of research papers, providing valuable insights into the latest theoretical and practical developments in the field of public management, digital economy, and internet technology. Participants had the opportunity to engage in constructive discussions, offer feedback, and establish potential collaborations for future research endeavors. We extend our gratitude to all participants, presenters, organizers, and sponsors for their contributions in making this conference a resounding success. We look forward to the 3rd edition of this conference, where we can further explore the dynamic intersections of public management, digital economy, and internet technology. |
| employee management system project in python: Database management system made simple through python Suryaprakash.S, 2020-01-09 This book is for Oracle developers and database administrators (DBA) who uses SQL. The book is designed as a reference the material is intentionally present as concisely as possible. Since i assume that you are already somewhat familiar with python and relational concepts and basics of the sql language, I attempted to provide you with the information you need in a location and format that allows you to access it quickly, as required. If you are looking for clear , conceptual concise information about oracle implementation using python with the plenty of summary tables and quick reference to syntax and usage, then you have come to the right place. However ,if you are trying to learn SQL, and want a tutorial that will teach you about it from start to finish, you will probably want to start with an introductory text. I certainly don't want to deter you from buying and using this book, but i want to know that my approach is to cram as much concise and fast-moving material as possible into these pages. |
| employee management system project in python: Python Programming Fundamentals Nischay kumar Hegde, This book has been written with two categories of readers in mind. This book can be manual for those who would want to excel in Python programming as well as for those who are new to Python programming and would want to learn. I hope that you will find what follows both instructive and at times entertaining too. The book is designed for programmers who already have some experience of using a modern high level procedural programming language like C/ C++. The book concentrates on the things that are essential to understand Python programming. Those who already know C will find the contents and example code snippets a bit interested. The syntax and coding constructs of Python programming paradigm is nearer to C but not exact. From my point of view, what matters for a programmer is Logic and Syntax. It has been inevitable for programmers to learn and practice emerging programming paradigms. This is the first edition of the textbook hence a lot of brainstorming was required in order to properly structure each and every chapter. Appendix A addresses exercise questions of Python for Everybody by Charles R Severance. Appendix B is about Python solution to few commonly found programming problems. All the programs presented in the textbook are tested using PyCharm IDE. I hope the book meets the requirements of student fraternity and remains reachable throughout its multiple entry of editions. Also, PyCharm IDE installation guidelines included in the textbook. |
| employee management system project in python: Complete Python Programming Akkem Yaganteeswarudu, 2022-07-23 Complete python programming: Learn with Examples, this Book covers entire topics on python, including core, advanced, and database programming. Every topic is covered with example programs, so that easy to understand all topics. Every Unit has a programming assessment so students can test their basics after reading this textbook. With the industry knowledge, the author's aim is to make students as the industry ready with all python programming concepts. Book also covers additional packages in python like NumPy and pandas. A basic introduction to the Django framework is also covered so interested students can design simple websites. |
| employee management system project in python: Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing Amit Kumar, Gheorghita Ghinea, Suresh Merugu, 2023-11-02 This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications. |
| employee management system project in python: Python for Everybody Charles R. Severance, 2016-04-09 Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled Python for Informatics: Exploring Information.There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course. |
| employee management system project in python: Where's the ‘Human’ in Human Resource Management? Michael Gold, Chris Smith, 2022-09-06 We all have to work to pay the bills – but what influence do we really have over our pay and working conditions? The emergence of the global economy, digital technologies, mass migration, gig work and zero hours contracts have thrust this question to the forefront of HRM. So how can we keep the ‘human’ in human resource management faced by these pressures? This book adopts a critical approach to today’s major workplace challenges. It turns traditional HRM on its head by placing workers’ perspectives towards the workplace alongside those of managers to create an HRM textbook for the 21st century. Written by two experienced and research-active authors, the book: • locates control of labour costs and productivity at the heart of HRM policy and practice; • covers key issues that are overlooked in many textbooks, including conflict and resistance, the ‘new’ unitarism, migration and the challenges of Artificial Intelligence; • adopts a critical approach that will appeal more to students who don’t wish to become traditional managers; • includes current examples and case studies from the international world of work and business that will bring the subject to life. This is a comprehensive one-stop resource for students and lecturers alike. |
| employee management system project in python: Powerful Python Aaron Maxwell, 2024-11-08 Once you've mastered the basics of Python, how do you skill up to the top 1%? How do you focus your learning time on topics that yield the most benefit for production engineering and data teams—without getting distracted by info of little real-world use? This book answers these questions and more. Based on author Aaron Maxwell's software engineering career in Silicon Valley, this unique book focuses on the Python first principles that act to accelerate everything else: the 5% of programming knowledge that makes the remaining 95% fall like dominos. It's also this knowledge that helps you become an exceptional Python programmer, fast. Learn how to think like a Pythonista: explore advanced Pythonic thinking Create lists, dicts, and other data structures using a high-level, readable, and maintainable syntax Explore higher-order function abstractions that form the basis of Python libraries Examine Python's metaprogramming tool for priceless patterns of code reuse Master Python's error model and learn how to leverage it in your own code Learn the more potent and advanced tools of Python's object system Take a deep dive into Python's automated testing and TDD Learn how Python logging helps you troubleshoot and debug more quickly |
| employee management system project in python: Database Management using AI: A Comprehensive Guide A Purushotham Reddy, 2024-10-20 Database Management Using AI: A Comprehensive Guide is a professional yet accessible exploration of how artificial intelligence (AI) is reshaping the world of database management. Designed for database administrators, data scientists, and tech enthusiasts, this book walks readers through the transformative impact of AI on modern data systems. The guide begins with the fundamentals of database management, covering key concepts such as data models, SQL, and the principles of database design. From there, it delves into the powerful role AI plays in optimizing database performance, enhancing security, and automating complex tasks like data retrieval, query optimization, and schema design. The book doesn't stop at theory. It brings AI to life with practical case studies showing how AI-driven database systems are being used in industries such as e-commerce, healthcare, finance, and logistics. These real-world examples demonstrate AI's role in improving efficiency, reducing errors, and driving intelligent decision-making. Key topics covered include: Introduction to Database Systems: Fundamentals of database management, from relational databases to modern NoSQL systems. AI Integration: How AI enhances database performance, automates routine tasks, and strengthens security. Real-World Applications: Case studies from diverse sectors like healthcare, finance, and retail, showcasing the practical impact of AI in database management. Predictive Analytics and Data Mining: How AI tools leverage data to make accurate predictions and uncover trends. Future Trends: Explore cutting-edge innovations like autonomous databases and cloud-based AI solutions that are shaping the future of data management. With its clear explanations and actionable insights, Database Management Using AI equips readers with the knowledge to navigate the fast-evolving landscape of AI-powered databases, making it a must-have resource for those looking to stay ahead in the digital age. |
| employee management system project in python: Introduction to programming and problem solving using Python Kishor Bhoyar, 2024-05-06 Unlock the World of Coding with Introduction to Programming and Problem Solving Using Python ' This book serves as your friendly guide to the world of programming, using Python as the key to unlock its vast potential. With a hands-on approach and real-world examples, you'll discover the beauty of Python's simplicity and versatility, whether you're a complete beginner or coming from another programming background. Learn to think like a programmer as you tackle common coding challenges and build your problem-solving skills step by step. From mastering the fundamentals of Python syntax to building a logical thought process required for coding, this book empowers you to write efficient, elegant code that solves real-world problems. Salient features of the book: · Suitable for the beginners as well as intermediate level programmers · Numerous interesting programming examples are provided with due explanation · End of the chapter exercises for additional practice · Programs are based on Python Version 3.0 and above · Special chapter on small projects in Python, prepares you for the professional level of coding Join us on this exciting journey and watch as the world of coding unfolds before your eyes. |
| employee management system project in python: OHS Electronic Management Systems for Construction Imriyas Kamardeen, 2013-01-25 Occupational accidents have a massive personal and social cost as well as a major financial cost. The construction industry is one of the most dangerous industries, accounting for around 20–30% of all occupational deaths worldwide. The accompanying financial cost is either absorbed directly or passed on in the form of higher insurance costs. In addition, regulatory bodies have started to impose legal accountability on all the parties along the construction supply chain. OHS is hard to implement. Construction projects are complex, with a fluid workforce, and the regulatory framework is highly elaborate. OHS Electronic Management Systems for Construction presents a theoretical framework which is designed to overcome these difficulties, integrating OHS management in construction using knowledge management and web technologies. This framework is explained in a clear step-by-step way, as are features such as a systematically developed corporate safety memory, and a virtual learning portal to facilitate on-demand safety training. The ultimate aim of this book is to aid the development of an established safety culture at the organisational level, and the formation of an industry-wide community of safety practice. This is essential reading for OHS professionals and construction managers attempting to change their industry for the better, as well as advanced students and researchers. |
| employee management system project in python: Web Scraping with Python Ryan Mitchell, 2024-02-14 If programming is magic, then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. This thoroughly updated third edition not only introduces you to web scraping but also serves as a comprehensive guide to scraping almost every type of data from the modern web. Part I focuses on web scraping mechanics: using Python to request information from a web server, performing basic handling of the server's response, and interacting with sites in an automated fashion. Part II explores a variety of more specific tools and applications to fit any web scraping scenario you're likely to encounter. Parse complicated HTML pages Develop crawlers with the Scrapy framework Learn methods to store the data you scrape Read and extract data from documents Clean and normalize badly formatted data Read and write natural languages Crawl through forms and logins Scrape JavaScript and crawl through APIs Use and write image-to-text software Avoid scraping traps and bot blockers Use scrapers to test your website |
| employee management system project in python: Computer Science With Python Language Made Simple Satish Jain/Shashi Singh, 2018-06-24 DescriptionThis book is designed to give you on insight of the art and science of Computers. the book does not ned any special background to comprehend the subject matter.The book covers the entire course contents of Computer Science with Python Language for Class XI prescribed by Central Board of Secondary Education (C.B.S.E.) according to new Syllabus 2018-2019 onwards) in a clear and simple English language. It discusses Programming and Computational Thinking. Computer Systems and Organisation Concepts in very comprehensive manner to build a strong foundation. The Programming methodology and Introduction to Python language are described in easy-to-understand language. Different topics such as Control structures, Strings, Lists, Dictionaries and Tuples are explained in a very easy to understand language. Programming with Python language is explained with maximum number of examples. It presents a detailed discussion of topics such as Database Concepts, SQL, Relational Algebra, MangoDB and CyberSafety.FeaturesAmple number of diagrams are used to illustrate the subject matter for easy understandingSolved Exercises are added at the end of each chapter so that the readers can evaluate their progress by comparing their answers with the answers given in the book.Summary and Glossary related to particular chapter are given at the end of each chapter.A Lab Exercise is added at the end of each chapter.Contents Unit-1 Programming and Computational Thinking Programming Concepts, Problem Solving Methodology and Techniques, Getting Started with Python, Data Types, Variables and Constants, Operators and Expressions, Flow of Control, Functions, String Manipulation, List Manipulation, Dictionaries , Tuples, Exception Handling and DebuggingUnit-2 Computer Systems and Organisation Basic Computer Organisation, Software Concepts, Data Representation, Boolean Algebra Unit-3 Database Management Database Management Concepts Unit-4 Society, Law and Ethics - Cyber Safety Society, Law and Ethics- Cyber SafetySummary, Glossary, Solved Exercise, AssignmentsProject Work, Sample Question Paper 1 & 2 |
| employee management system project in python: Advance Core Python Programming Meenu Kohli, 2021-06-08 Mastering Advanced Python Programming KEY FEATURES ● In-depth coverage on fundamentals of functions, recursion, classes, inheritance, and files. ● Mastery of advanced topics - Database connectivity, Errors and Exception, Testing and Debugging, threads, Data visualization, and Data analysis. ● In-depth coverage of advanced concepts such as data structures, and algorithms. ● Simplifies GUI and Widgets. ● Learn to connect GUI with MySQL to create a complete working application. ● Introduction to Flask. ● Thorough, detailed, and complete coverage of all topics along with ample coding examples and illustrations. DESCRIPTION Advance Core Python Programming is designed for Programmers who have a good understanding of Python basics and are ready to take the next steps. For entry-level Python programmers willing to dive deeper into programming, this book provides a path that will help them to add innovative features to their applications. This book starts by introducing you to the concept of Functions and Recursion and then moves on to higher levels of introducing you to OOP concepts, Files, integrating Python with database, threading, errors, exceptions, testing, debugging, data visualization, data analysis, GUI, data structures and algorithms. All these topics are the need of the hour and this book simplifies all these critical and essential concepts of Python for you. Knowledge of these topics will ease the functioning of your envisioned application. Throughout the book, you will have access to several coding examples which will help you to understand the real practical application of advanced Python concepts and you will be able to work on any kind of Python project with confidence. WHAT YOU WILL LEARN ● Learn advanced Python topics in simple language. ● Learn how to code in easy-to-follow steps. ● Learn to create your own classes and functions. ● Learn to work with Files. ● Learn to configure MySQL and make Python programs interact with the MySQL database. ● Get to know different types of errors, exceptions, and ways to test, debug and rectify them. ● Learn how to use Python for Data Visualization and Data Analysis. ● Learn to Create GUI features and add Widgets. ● Learn about data structures and algorithms. ● Learn to create and develop stack, queues, trees, and linked lists. ● Explore Flask, its features, and how to use it to build web applications. ● Learn to work on complex code by following simple step-by-step instructions. ● Prepare for theory and practical exams related to advanced Python Concepts. WHO THIS BOOK IS FOR This book is highly appealing to all tech-savvy students, programming enthusiasts, IT graduates, and computer science professionals who want to build strong proficiency in building Python applications. Prior understanding of Python basic coding concepts like variables, expressions, and control structures is required to begin with this book. You can also read Basic Core Python Programming to develop strong fundamentals before you start with this book. TABLE OF CONTENTS 1. Functions and Recursion 2. Classes, Objects, and Inheritance 3. Files 4. MySQL for Python 5. Python Threads 6. Errors, Exceptions, Testing, and Debugging 7. Data Visualization and Data Analysis 8. Creating the GUI form and Adding Widgets 9. MySQL and Python Graphical User Interface 10. Stack, Queue, and Deque 11. Linked List 12. Trees 13. Searching and Sorting 14. Getting Started with Flask |
| employee management system project in python: Python Data Cleaning and Preparation Best Practices Maria Zervou, 2024-09-27 Take your data preparation skills to the next level by converting any type of data asset into a structured, formatted, and readily usable dataset Key Features Maximize the value of your data through effective data cleaning methods Enhance your data skills using strategies for handling structured and unstructured data Elevate the quality of your data products by testing and validating your data pipelines Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionProfessionals face several challenges in effectively leveraging data in today's data-driven world. One of the main challenges is the low quality of data products, often caused by inaccurate, incomplete, or inconsistent data. Another significant challenge is the lack of skills among data professionals to analyze unstructured data, leading to valuable insights being missed that are difficult or impossible to obtain from structured data alone. To help you tackle these challenges, this book will take you on a journey through the upstream data pipeline, which includes the ingestion of data from various sources, the validation and profiling of data for high-quality end tables, and writing data to different sinks. You’ll focus on structured data by performing essential tasks, such as cleaning and encoding datasets and handling missing values and outliers, before learning how to manipulate unstructured data with simple techniques. You’ll also be introduced to a variety of natural language processing techniques, from tokenization to vector models, as well as techniques to structure images, videos, and audio. By the end of this book, you’ll be proficient in data cleaning and preparation techniques for both structured and unstructured data.What you will learn Ingest data from different sources and write it to the required sinks Profile and validate data pipelines for better quality control Get up to speed with grouping, merging, and joining structured data Handle missing values and outliers in structured datasets Implement techniques to manipulate and transform time series data Apply structure to text, image, voice, and other unstructured data Who this book is for Whether you're a data analyst, data engineer, data scientist, or a data professional responsible for data preparation and cleaning, this book is for you. Working knowledge of Python programming is needed to get the most out of this book. |
| employee management system project in python: Hands-On Enterprise Application Development with Python Saurabh Badhwar, 2018-12-28 Architect scalable, reliable, and maintainable applications for enterprises with Python Key FeaturesExplore various Python design patterns used for enterprise software developmentApply best practices for testing and performance optimization to build stable applicationsLearn about different attacking strategies used on enterprise applications and how to avoid themBook Description Dynamically typed languages like Python are continuously improving. With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable. The book is a detailed guide to building an end-to-end enterprise-grade application in Python. You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle. The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend. Given that security and stability are the foundation for an enterprise application, you’ll be trained on effective testing, performance analysis, and security practices, and understand how to embed them in your codebase during the initial phase. You’ll also be guided in how to move on from a monolithic architecture to one that is service oriented, leveraging microservices and serverless deployment techniques. By the end of the book, you will have become proficient at building efficient enterprise applications in Python. What you will learnUnderstand the purpose of design patterns and their impact on application lifecycleBuild applications that can handle large amounts of data-intensive operationsUncover advanced concurrency techniques and discover how to handle a large number of requests in productionOptimize frontends to improve the client-side experience of your applicationEffective testing and performance profiling techniques to detect issues in applications early in the development cycleBuild applications with a focus on securityImplement large applications as microservices to improve scalabilityWho this book is for If you’re a developer who wants to build enterprise-grade applications, this book is for you. Basic to intermediate-level of programming experience with Python and database systems is required to understand the concepts covered in this book. |
| employee management system project in python: HR Analytics Manish Soni, 2024-11-14 The book then guides you through various analytical techniques, starting with Descriptive Analytics in HR, where you learn to perform basic statistical analysis and data interpretation. Performance Metrics provides insights into structuring and applying performance metrics effectively, while Compensation and HR Analytics delves into creating comprehensive compensation frameworks and policies. For those interested in more advanced topics, chapters like Diagnostic Analytics in HR, Predictive Analytics in HR, and Prescriptive Analytics in HR cover everything from regression analysis to predictive modelling and strategic planning using Excel. We also explore Advanced Excel Functions for HR Analytics for more seasoned Excel users, aiming to automate and enhance their data analysis. The book does not stop at analytics within Excel; Integrating Excel with Other HR Systems provides valuable insights into how Excel can interact with various HRIS and other tools, emphasizing the importance of integration in modern HR practices. |
| employee management system project in python: Handbook of Research on Developing Circular, Digital, and Green Economies in Asia Ordóñez de Pablos, Patricia, 2021-07-09 The COVID-19 pandemic has caused extraordinary disruptions in societies, companies, and nations across the globe. In response to this global devastation, companies need to develop business and management practices to answer new and emerging challenges and speed the recovery of economies, the creation of new jobs and prosperity, and achieve sustainable growth. The transition to digital and greener economies offers important challenges and opportunities for people, companies, cities, and governments. The Handbook of Research on Developing Circular, Digital, and Green Economies in Asia explores new and emerging business and management practices to support companies and economies in the digital transformation in Asia with special emphasis on success and failure experiences. This book will analyze the role of digital skills and competences, green issues, and technological disruptors in these emerging practices in Asia and how they can contribute to the creation of new business opportunities, more jobs, and growth for the recovery of Asian economies after the pandemic. Covering topics including consumption values, psychological capital, and tourist culture, this book is essential for academicians, economists, managers, students, politicians, policymakers, corporate heads of firms, senior general managers, managing directors, information technology directors and managers, libraries, and researchers. |
| employee management system project in python: Python Projects Laura Cassell, Alan Gauld, 2014-12-04 A guide to completing Python projects for those ready to take their skills to the next level Python Projects is the ultimate resource for the Python programmer with basic skills who is ready to move beyond tutorials and start building projects. The preeminent guide to bridge the gap between learning and doing, this book walks readers through the where and how of real-world Python programming with practical, actionable instruction. With a focus on real-world functionality, Python Projects details the ways that Python can be used to complete daily tasks and bring efficiency to businesses and individuals alike. Python Projects is written specifically for those who know the Python syntax and lay of the land, but may still be intimidated by larger, more complex projects. The book provides a walk-through of the basic set-up for an application and the building and packaging for a library, and explains in detail the functionalities related to the projects. Topics include: *How to maximize the power of the standard library modules *Where to get third party libraries, and the best practices for utilization *Creating, packaging, and reusing libraries within and across projects *Building multi-layered functionality including networks, data, and user interfaces *Setting up development environments and using virtualenv, pip, and more Written by veteran Python trainers, the book is structured for easy navigation and logical progression that makes it ideal for individual, classroom, or corporate training. For Python developers looking to apply their skills to real-world challenges, Python Projects is a goldmine of information and expert insight. |
| employee management system project in python: Artificial Intelligence and International HRM Ashish Malik, Pawan Budhwar, 2023-05-22 This book offers an in-depth and recent account of the research in Artificial Intelligence (AI) technologies and how it is impacting and shaping the field of international human resource management (IHRM). Grounded in contemporary developments in the field of technological change and the Future of Work and the fourth industrial revolution (4IR), the book lays down a solid foundation by offering a comprehensive review of the field of AI and IHRM. It includes empirical research, including case studies of global MNEs and conceptual chapters focusing on the impact of AI on IHRM practices and therefore business-level outcomes of productivity, efficiency, and effectiveness through the adoption of AI-assisted HR applications. The chapters in this volume evaluate individual IHRM practices and study how they impact employee-level outcomes of job satisfaction, personalization, employee commitment and so on. Finally, the book concludes by identifying current gaps in the literature and offers directions for future research for scholars to develop and advance future research agendas in the field. This volume will be of great use to researchers, academics and students in the fields of business and management, especially those with a particular interest in new age technologies of operating business. The chapters in this book, except for Conclusion, were originally published as a special issue of The International Journal of Human Resource Management. |
| employee management system project in python: HR Analytics Dipak Kumar Bhattacharyya, 2017-05-26 How can predictive analytics help HR personnel to make more informed decisions? How has analytics extended a new perspective to express HR activities in measurable and objective terms? The introduction of analytics has induced a shift in the traditional HR function-from human resource management (HRM) to human capital management (HCM). HR Analytics reflects on this crucial role of analytics and predictive modelling in human resource settings within modern-day organizations. Keeping in view the emerging need among HR professionals and analysts, this textbook offers interesting insights into the use of analytics to aid strategic decision making. Key Features • Goes beyond traditional HR metrics and scorecard, and discusses the major advances and application of big data in HR decision making • Special focus on measurement of value propositions, data collection and visualization among others • Chapter opening cases, industry insights and caselets throughout the book to give real-life perspectives • Engaging exercises and assignments for students • Ancillary teaching materials for instructors on the dedicated companion website |
| employee management system project in python: Python for Programmers Paul Deitel, Harvey Deitel, 2019-03-15 The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® WatsonTM, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, SparkTM and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google TranslateTM, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more. Features 500+ hands-on, real-world, live-code examples from snippets to case studies IPython + code in Jupyter® Notebooks Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions Procedural, functional-style and object-oriented programming Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames Static, dynamic and interactive visualizations Data experiences with real-world datasets and data sources Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression AI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® WatsonTM, machine learning, deep learning, computer vision, Hadoop®, SparkTM, NoSQL, IoT Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and more Accompanying code examples are available here: http://ptgmedia.pearsoncmg.com/imprint_downloads/informit/bookreg/9780135224335/9780135224335_examples.zip. Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information. |
| employee management system project in python: Introduction to Python Programming for Business and Social Science Applications Frederick Kaefer, Paul Kaefer, 2020-08-06 Would you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science Applications is the book for you. Authors Frederick Kaefer and Paul Kaefer walk you through each step of the Python package installation and analysis process, with frequent exercises throughout so you can immediately try out the functions you’ve learned. Written in straightforward language for those with no programming background, this book will teach you how to use Python for your research and data analysis. Instead of teaching you the principles and practices of programming as a whole, this application-oriented text focuses on only what you need to know to research and answer social science questions. The text features two types of examples, one set from the General Social Survey and one set from a large taxi trip dataset from a major metropolitan area, to help readers understand the possibilities of working with Python. Chapters on installing and working within a programming environment, basic skills, and necessary commands will get you up and running quickly, while chapters on programming logic, data input and output, and data frames help you establish the basic framework for conducting analyses. Further chapters on web scraping, statistical analysis, machine learning, and data visualization help you apply your skills to your research. More advanced information on developing graphical user interfaces (GUIs) help you create functional data products using Python to inform general users of data who don’t work within Python. First there was IBM® SPSS®, then there was R, and now there′s Python. Statistical software is getting more aggressive - let authors Frederick Kaefer and Paul Kaefer help you tame it with Introduction to Python Programming for Business and Social Science Applications. |
| employee management system project in python: Proceedings of the International Conference on Information Technology & Systems (ICITS 2018) Álvaro Rocha, Teresa Guarda, 2018-01-04 This book includes a selection of articles from the 2018 International Conference on Information Technology & Systems (ICITS 18), held on January 10 – 12, 2018, at the Universidad Estatal Península de Santa Elena, Libertad City, Ecuador. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, lessons learned and the challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered include information and knowledge management; organizational models and information systems; software and systems modeling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; and information technologies in education. |
| employee management system project in python: Practical Data Analysis Dhiraj Bhuyan, 2019-11-30 “Practical Data Analysis – Using Python & Open Source Technology” uses a case-study based approach to explore some of the real-world applications of open source data analysis tools and techniques. Specifically, the following topics are covered in this book: 1. Open Source Data Analysis Tools and Techniques. 2. A Beginner’s Guide to “Python” for Data Analysis. 3. Implementing Custom Search Engines On The Fly. 4. Visualising Missing Data. 5. Sentiment Analysis and Named Entity Recognition. 6. Automatic Document Classification, Clustering and Summarisation. 7. Fraud Detection Using Machine Learning Techniques. 8. Forecasting - Using Data to Map the Future. 9. Continuous Monitoring and Real-Time Analytics. 10. Creating a Robot for Interacting with Web Applications. Free samples of the book is available at - http://timesofdatascience.com |
| employee management system project in python: Python Tutorial 3.11.3 Guido Van Rossum, Python Development Team, 2023-05-12 |
| employee management system project in python: Machine Intelligence in Mechanical Engineering K. Palanikumar, Elango Natarajan, S. Ramesh, J. Paulo Davim, 2024-01-18 Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this interdisciplinary book will help readers explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods. Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve complex engineering tasks and driving efficiencies in the smart production line. Smart preventative maintenance systems can prevent machine downtime, smart monitoring and control can produce more effective workflows with less human intervention. - Provides detailed case studies of how machine intelligence has been used in mechanical engineering applications - Includes a basic introduction to machine learning algorithms and their implementation - Addresses innovative applications of AR/VR technology in mechanical engineering |
| employee management system project in python: Web, Artificial Intelligence and Network Applications Leonard Barolli, Makoto Takizawa, Fatos Xhafa, Tomoya Enokido, 2019-03-14 The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of Web Computing, Intelligent Systems and Internet Computing. As the Web has become a major source of information, techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play key roles in many of today’s prominent Web applications such as e-commerce and computer security. Moreover, the outcome of Web services delivers a new platform for enabling service-oriented systems. The emergence of large scale distributed computing paradigms, such as Cloud Computing and Mobile Computing Systems, has opened many opportunities for collaboration services, which are at the core of any Information System. Artificial Intelligence (AI) is an area of computer science that build intelligent systems and algorithms that work and react like humans. The AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning. They have the potential to become enabling technologies for the future intelligent networks. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important for the future development and innovation of Web and Internet applications. |
| employee management system project in python: ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management Vinit Kumar Gunjan, Vicente Garcia Diaz, Manuel Cardona, Vijender Kumar Solanki, K. V. N. Sunitha, 2019-06-27 This book discusses reliability applications for power systems, renewable energy and smart grids and highlights trends in reliable communication, fault-tolerant systems, VLSI system design and embedded systems. Further, it includes chapters on software reliability and other computer engineering and software management-related disciplines, and also examines areas such as big data analytics and ubiquitous computing. Outlining novel, innovative concepts in applied areas of reliability in electrical, electronics and computer engineering disciplines, it is a valuable resource for researchers and practitioners of reliability theory in circuit-based engineering domains. |
| employee management system project in python: Innovations and Advances in Cognitive Systems S. D. Prabu Ragavendiran, |
| employee management system project in python: Machine Learning and Deep Learning in Real-Time Applications Mahrishi, Mehul, Hiran, Kamal Kant, Meena, Gaurav, Sharma, Paawan, 2020-04-24 Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe. |
| employee management system project in python: Intelligent Systems and Applications Kohei Arai, Supriya Kapoor, Rahul Bhatia, 2018-11-07 Gathering the Proceedings of the 2018 Intelligent Systems Conference (IntelliSys 2018), this book offers a remarkable collection of chapters covering a wide range of topics in intelligent systems and computing, and their real-world applications. The Conference attracted a total of 568 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer review process, after which 194 (including 13 poster papers) were selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made it possible to tackle many problems more effectively. This branching out of computational intelligence in several directions, and the use of intelligent systems in everyday applications, have created the need for such an international conference, which serves as a venue for reporting on cutting-edge innovations and developments. This book collects both theory and application-based chapters on all aspects of artificial intelligence, from classical to intelligent scope. Readers are sure to find the book both interesting and valuable, as it presents state-of-the-art intelligent methods and techniques for solving real-world problems, along with a vision of future research directions. |
| employee management system project in python: Making Use of Python Rashi Gupta, 2003-08-16 Python is a multipurpose development language that can be used on virtually every platform. It offers built-in support for critical development steps including data structures, dynamic typing, and dynamic building. It can be used in lieu of Java or C++, and Python scripts can be developed in a fraction of the time it takes to program and debug higher-level languages. Covers language basics and how to use Python for CGI scripting, GUI development, network programming, and much more Demonstrates why Python is arguably the most sophisticated of the popular scripting languages and why its popularity continues to grow |
| employee management system project in python: Network World , 2003-03-24 For more than 20 years, Network World has been the premier provider of information, intelligence and insight for network and IT executives responsible for the digital nervous systems of large organizations. Readers are responsible for designing, implementing and managing the voice, data and video systems their companies use to support everything from business critical applications to employee collaboration and electronic commerce. |
| employee management system project in python: InfoWorld , 2003-03-24 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
| employee management system project in python: The Python Workshop Corey Wade, Mario Corchero Jimenez, Andrew Bird, Dr. Lau Cher Han, Graham Lee, 2022-11-18 Gain proficiency, productivity, and power by working on projects and kick-starting your career in Python with this comprehensive, hands-on guide. Key FeaturesUnderstand and utilize Python syntax, objects, methods, and best practicesExplore Python's many features and libraries through real-world problems and big dataUse your newly acquired Python skills in machine learning as well as web and software developmentBook Description Python is among the most popular programming languages in the world. It's ideal for beginners because it's easy to read and write, and for developers, because it's widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed. This project-based course has been designed by a team of expert authors to get you up and running with Python. You'll work though engaging projects that'll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact. By completing the course from start to finish, you'll walk away feeling capable of tackling any real-world Python development problem. What you will learnWrite efficient and concise functions using core Python methods and librariesBuild classes to address different business needsCreate visual graphs to communicate key data insightsOrganize big data and use machine learning to make regression and classification predictionsDevelop web pages and programs with Python tools and packagesAutomate essential tasks using Python scripts in real-time executionWho this book is for This book is for professionals, students, and hobbyists who want to learn Python and apply it to solve challenging real-world problems. Although this is a beginner's course, you'll learn more easily if you already have an understanding of standard programming topics like variables, if-else statements, and functions. Experience with another object-oriented program, though not essential, will also be beneficial. If Python is your first attempt at computer programming, this book will help you understand the basics with adequate detail for a motivated student. |
| employee management system project in python: The Architecture of Open Source Applications Amy Brown, Greg Wilson, 2011 Beschrijving van vijfentwintig open source applicaties. |
EMPLOYEE INFORMATION AND PAYROLL SYSTEM …
There are various system available to access employee data and payroll management which are based on different languages for frontend, backend and database.
EMPLOYEE TASK TRACKING SYSTEM - IRJMETS
Here's an example: The Employee Task Tracking System is a software application developed using the Python programming language. Its main objective is to provide organizations with an …
EMPLOYEE MANAGEMENT SYSTEM USING REACT
In this project, we present a mobile app for managing employee data that was built using the React framework for the front-end UI components and the Flask framework for the back-end …
A Project Report on EMPLOYEE MANAGEMENT SYSTEM
Employee management system is an application-based system, having two applications developed, one for employers to manage employee details and another for employees to mark …
Employee Management System - DiVA portal
This report includes a development presentation of an information system for managing the staff data within a small company or organization. The system as such as it has been developed is …
Project On KVS PAYROLL MANAGEMENT SYSTEM Projec
Project On “KVS PAYROLL MANAGEMENT SYSTEM” By: 1. Mr. MANISH RUSIA, PGT (CS), KV DONGARGARH 2. Mr. LOKESH SINGH, PGT(CS), KV MAHASAMUND RDBMS: MySQL …
Automated HR Management System Using Selenium …
In this paper we have automated Human Resource Database Management System. The API used in python helps you in connecting to the browser through the Selenium. The binding of …
Payroll Management System Project In Python With Source …
A Payroll Management System Project In Python Code is a system used by companies to help manage the computation, disbursement, and reporting of employees’ salaries efficiently and …
Face Recognition in Employee Management - IJRPR
In this employee management application, as part of admin login, we have added one major facility which is login by face recognize by Open CV and Python library. In the application we …
Employee Management System Project In Python
Employee Management System Project In Python: Python Programming Projects with GUI for Beginners Vedant Bahel,Reema Thareja ,2021-02-26 This book is designed as a guide to …
Employee Payroll Management System - IJISRT
Abstract:- Employee payroll management system is a web-based application, which any organization can use to manage the records of the employees working in the company.
Employee Management System - srmus.ac.in
The employee management system project gives managers a better idea of their employees and helps them plan and manage their work hours to cut costs and boost productivity.
PROJECT TITLE- “SCHOOL MANAGEMENT”
Python Code: import os import platform import mysql.connector #import pandas as pd #from pandas import DataFrame def selection(): db = mysql.connector.connect(user='root', …
Employee Churn Prediction Using Python - ijercse.com
Abstract— In an era where workforce turnover poses a significant challenge for organizations, our Python-based project addresses workforce turnover by developing an employee churn …
Attendance Management System Using Facial Recognition
In the era of technological advancements, this project introduces a sophisticated Face Recognition Attendance Management System developed using Python. The system provides …
HOTEL MANAGEMENT SYSTEM - Python Class Room Diary
Python must be installed on your machine. Note: – MySQL Connector Python requires python to be in the system’s PATH. Installation fails if it doesn’t find Python. On Windows, If Python …
Facial Recognition Attendance System Using Python and …
In this project, face databases will be created to pump data into the recognizer algorithm. Then, during the attendance taking session, faces will be compared against the database to seek for …
Face Recognition Attendance System Software for Employee …
The main purpose of this project is to build a face recognition-based attendance monitoring system for educational institution to enhance and upgrade the current attendance system into …
Smart Attendance Management System Using Python …
To overcome these challenges, this paper presents the development of a smart attendance system using Python programming language, Local Binary Patterns Histograms (LBPH) …
EMPLOYEE MANAGEMENT SYSTEM
Sep 14, 2012 · Employee management system (EMS) is going to be implemented using PHP, MySQL, Apache and PHPMyAdmin which are all open source applications. They are all a …
EMPLOYEE INFORMATION AND PAYROLL SYSTEM USING …
There are various system available to access employee data and payroll management which are based on different languages for frontend, backend and database.
EMPLOYEE TASK TRACKING SYSTEM - IRJMETS
Here's an example: The Employee Task Tracking System is a software application developed using the Python programming language. Its main objective is to provide organizations with an efficient …
EMPLOYEE MANAGEMENT SYSTEM USING REACT
In this project, we present a mobile app for managing employee data that was built using the React framework for the front-end UI components and the Flask framework for the back-end data …
A Project Report on EMPLOYEE MANAGEMENT SYSTEM
Employee management system is an application-based system, having two applications developed, one for employers to manage employee details and another for employees to mark their …
Employee Management System - DiVA portal
This report includes a development presentation of an information system for managing the staff data within a small company or organization. The system as such as it has been developed is …
Project On KVS PAYROLL MANAGEMENT SYSTEM Projec
Project On “KVS PAYROLL MANAGEMENT SYSTEM” By: 1. Mr. MANISH RUSIA, PGT (CS), KV DONGARGARH 2. Mr. LOKESH SINGH, PGT(CS), KV MAHASAMUND RDBMS: MySQL User: root …
Automated HR Management System Using Selenium …
In this paper we have automated Human Resource Database Management System. The API used in python helps you in connecting to the browser through the Selenium. The binding of python and …
Payroll Management System Project In Python With Source …
A Payroll Management System Project In Python Code is a system used by companies to help manage the computation, disbursement, and reporting of employees’ salaries efficiently and …
Face Recognition in Employee Management - IJRPR
In this employee management application, as part of admin login, we have added one major facility which is login by face recognize by Open CV and Python library. In the application we can add …
Employee Management System Project In Python
Employee Management System Project In Python: Python Programming Projects with GUI for Beginners Vedant Bahel,Reema Thareja ,2021-02-26 This book is designed as a guide to cater …
Employee Payroll Management System - IJISRT
Abstract:- Employee payroll management system is a web-based application, which any organization can use to manage the records of the employees working in the company.
Employee Management System - srmus.ac.in
The employee management system project gives managers a better idea of their employees and helps them plan and manage their work hours to cut costs and boost productivity.
PROJECT TITLE- “SCHOOL MANAGEMENT”
Python Code: import os import platform import mysql.connector #import pandas as pd #from pandas import DataFrame def selection(): db = mysql.connector.connect(user='root', …
Employee Churn Prediction Using Python - ijercse.com
Abstract— In an era where workforce turnover poses a significant challenge for organizations, our Python-based project addresses workforce turnover by developing an employee churn …
Attendance Management System Using Facial Recognition
In the era of technological advancements, this project introduces a sophisticated Face Recognition Attendance Management System developed using Python. The system provides a …
HOTEL MANAGEMENT SYSTEM - Python Class Room Diary
Python must be installed on your machine. Note: – MySQL Connector Python requires python to be in the system’s PATH. Installation fails if it doesn’t find Python. On Windows, If Python doesn’t …
Facial Recognition Attendance System Using Python and …
In this project, face databases will be created to pump data into the recognizer algorithm. Then, during the attendance taking session, faces will be compared against the database to seek for …
Face Recognition Attendance System Software for …
The main purpose of this project is to build a face recognition-based attendance monitoring system for educational institution to enhance and upgrade the current attendance system into more …
Smart Attendance Management System Using Python …
To overcome these challenges, this paper presents the development of a smart attendance system using Python programming language, Local Binary Patterns Histograms (LBPH) algorithm, …
EMPLOYEE MANAGEMENT SYSTEM
Sep 14, 2012 · Employee management system (EMS) is going to be implemented using PHP, MySQL, Apache and PHPMyAdmin which are all open source applications. They are all a solution …
