Python
eBook - ePub

Python

A Practical Learning Approach

  1. 166 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Python

A Practical Learning Approach

About this book

Python's simplicity and versatility make it an ideal language for both beginners and experienced programmers. Its syntax facilitates a smooth learning curve, enabling individuals to concentrate on grasping programming concepts instead of wrestling with intricate syntax rules. The extensive standard library reinforces its practicality, offering pre-built modules and functions that reduce manual coding efforts. Python's versatility is evident in its applications, spanning web development, data analysis, Machine Learning and automation.

The language's interactive nature supports real-time code experimentation, stepping up the learning process and enhancing understanding. Python's wealth of online resources further enriches the learning experience, fostering a community where individuals can develop their programming skills.

Python: A Practical Learning Approach exemplifies Python's simplicity and versatility with numerous examples, ensuring a seamless learning journey. Beyond theory, the language's practicality allows learners to actively apply their knowledge in real-world scenarios, establishing Python as an asset in education.

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Yes, you can access Python by T.S. Murugesh,Shriram K. Vasudevan,Sini Raj Pulari in PDF and/or ePUB format, as well as other popular books in Computer Science & Microsoft Programming. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. About the Authors
  8. 1 The Introductory Discussion
  9. 2 Deeper Learning
  10. 3 Learning Gets Better
  11. 4 Functions – In and Out
  12. 5 Modules in Python
  13. 6 Namespace in Python
  14. 7 Strings – Strike the Right Chords
  15. 8 Python and Files
  16. 9 Python and Directories
  17. 10 Data Structures in Python
  18. 11 Classes and Objects
  19. 12 Fun Learning
  20. 13 Addendum – Real-time Fun Exercises with Python
  21. Index