Kickstart Python Programming Fundamentals Real World Projects And Hands On Exercises To Cement Every Python Programming Concept
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Kickstart Python Programming Fundamentals
Author: Jit Sinha
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2025-06-24
TAGLINE Keep Calm and Let Us Tame the Python. KEY FEATURES ● Beginner-friendly with clear examples and no prior coding needed. ● Step-by-step projects from basics to real-world applications. ● Hands-on learning with flowcharts, functions, and data tools. DESCRIPTION Python is more than a programming language—it’s a career catalyst. Whether you're aiming to future-proof your skills, automate everyday tasks, or break into tech, Python is the gateway. Kickstart Python Programming Fundamentals is your launchpad, built specifically for absolute beginners, freshers, students, and professionals with no coding background. With crystal-clear explanations, real-world examples, and zero jargon, this book makes programming accessible, engaging, and fun. You’ll start by writing your first Python program and gradually master essential concepts like variables, loops, functions, and data structures. From there, you'll progress to object-oriented programming, file handling, working with databases, and even get a taste of AI and data analysis. Each chapter includes hands-on exercises and mini-projects to solidify your learning. By the end, you'll not only understand Python—you’ll be building real-world solutions, building a project portfolio, and ready to take on academic, personal, or professional challenges. The future is coded—start your journey today and don’t get left behind. WHAT WILL YOU LEARN ● Write and run your first Python programs with confidence. ● Understand and use variables, data types, and Python syntax. ● Build logic-driven programs using loops and conditionals. ● Create clean, reusable code with functions and parameters. ● Organize and manipulate data using lists, dictionaries, tuples, and sets. ● Read and write files, handle errors, and explore basic AI concepts. ● Apply your skills in real-world projects and coding challenges. WHO IS THIS BOOK FOR? This book is for absolute beginners, including students, fresh graduates, hobbyists, career switchers, and professionals from non-technical backgrounds. Whether you're a complete novice, a fresher with no coding experience, or simply curious about programming, this book offers a clear, hands-on path to start your journey with Python—no prior knowledge required. TABLE OF CONTENTS 1. Beginning with Python 2. Introduction to Algorithms and Flowcharts 3. Basic Python 4. Making Choices and Repeating Actions 5. Creating Functions 6. Organizing Data 7. Understanding OOP in Python 8. Using Modules and Packages 9. Error Handling 10. File Handling and String Manipulation 11. Dates and Times 12. Working with JSON and XML 13. Math in Python 14. Managing Packages with PIP 15. Building Web Apps 16. Python and Databases 17. Analyzing Data 18. Python in Artificial Intelligence 19. Conclusion and Next Steps 20. Real-World Project Index
Kickstart Python Programming Fundamentals: Real-World Projects and Hands-on Exercises to Cement Every Python Programming Concept
Author: Jit Sinha
language: en
Publisher: Orange Education Pvt Limited
Release Date: 2025-06-24
Keep Calm and Let Us Tame the Python.. Key Features● Beginner-friendly with clear examples and no prior coding needed.● Step-by-step projects from basics to real-world applications.● Hands-on learning with flowcharts, functions, and data tools.. Book DescriptionPython is more than a programming language—it’s a career catalyst. Whether you're aiming to future-proof your skills, automate everyday tasks, or break into tech, Python is the gateway. Kickstart Python Programming Fundamentals is your launchpad, built specifically for absolute beginners, freshers, students, and professionals with no coding background. With crystal-clear explanations, real-world examples, and zero jargon, this book makes programming accessible, engaging, and fun. You’ll start by writing your first Python program and gradually master essential concepts like variables, loops, functions, and data structures. From there, you'll progress to object-oriented programming, file handling, working with databases, and even get a taste of AI and data analysis. Each chapter includes hands-on exercises and mini-projects to solidify your learning. By the end, you'll not only understand Python—you’ll be building real-world solutions, building a project portfolio, and ready to take on academic, personal, or professional challenges. The future is coded—start your journey today and don’t get left behind. What you will learn● Write and run your first Python programs with confidence.● Understand and use variables, data types, and Python syntax.● Build logic-driven programs using loops and conditionals.● Create clean, reusable code with functions and parameters.● Organize and manipulate data using lists, dictionaries, tuples, and sets.● Read and write files, handle errors, and explore basic AI concepts.● Apply your skills in real-world projects and coding challenges.
Text Analytics with Python
Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Builda text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data