Kickstart Python Programming Fundamentals
eBook - ePub

Kickstart Python Programming Fundamentals

Real-World Projects and Hands-on Exercises to Cement Every Python Programming Concept (English Edition)

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Kickstart Python Programming Fundamentals

Real-World Projects and Hands-on Exercises to Cement Every Python Programming Concept (English Edition)

About this book

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.Table of Contents1. Beginning with Python2. Introduction to Algorithms and Flowcharts3. Basic Python4. Making Choices and Repeating Actions5. Creating Functions6. Organizing Data7. Understanding OOP in Python8. Using Modules and Packages9. Error Handling10. File Handling and String Manipulation11. Dates and Times12. Working with JSON and XML13. Math in Python14. Managing Packages with PIP15. Building Web Apps16. Python and Databases17. Analyzing Data18. Python in Artificial Intelligence19. Conclusion and Next Steps20. Real-World ProjectIndexAbout the AuthorsJit Sinha is a seasoned IT professional with over 14 years of experience in the tech industry. He currently works at a leading global IT company, where he plays a key role in designing smart and reliable technology solutions. As a certified Solution Architect in platforms such as Splunk, AWS, Azure, and Google Cloud, Jit has built a strong reputation for creating powerful IT systems for clients in banking, telecom, and healthcare.His work has helped banks stay secure, supported telecom companies with strong and scalable networks, and improved the way healthcare systems manage and protec

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Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. About the Author
  6. About the Technical Reviewer
  7. Acknowledgements
  8. Preface
  9. Errata
  10. Table of Contents
  11. 1. Beginning with Python
  12. 2. Introduction to Algorithms and Flowcharts
  13. 3. Basic Python
  14. 4. Making Choices and Repeating Actions
  15. 5. Creating Functions
  16. 6. Organizing Data
  17. 7. Understanding OOP in Python
  18. 8. Using Modules and Packages
  19. 9. Error Handling
  20. 10. File Handling and String Manipulation
  21. 11. Dates and Times
  22. 12. Working with JSON and XML
  23. 13. Math in Python
  24. 14. Managing Packages with PIP
  25. 15. Building Web Apps
  26. 16. Python and Databases
  27. 17. Analyzing Data
  28. 18. Python in Artificial Intelligence
  29. 19. Conclusion and Next Steps
  30. 20. Real-World Project
  31. Index