Let Us Python: Python Is Future, Embrace It Fast Learn Python Quickly Through This Programmer-Friendly Guide - 7th Edition

Description

Most programmers learning Python are usually comfortable with some or the other programming language and are not interested in going through the typical curve of learning the first programming language. Instead, they are looking for something that can get them off the ground quickly. They are looking for similarities and differences in a feature that they have used in other language(s), plus what extra does Python language offer. This book should help them immensely.

It guides you from the fundamentals of simple Python statements to use of advanced topics like OOPs, Concurrency Synchronization, Numpy, Matplotlib and Pandas.

Key Features

● Strengthens the foundations, as detailed explanation of programming language concepts are given.

● KanNotes are given explaining key points with the help of programs.

● Simplicity: be it the code or text.

● Lists down all important points that you need to know related to various topics in an organized manner.

● Prepares you for coding related interviews and theoretical questions.

● Exercises are exceptionally useful to complete the reader’s understanding of a topic.

● Follow a systematic approach that will help you to prepare for an interview in a short duration of time.

What you will learn

● Data types, Control flow instructions, Console & File Input/Output.

● Strings, List & Tuples, Comprehension.

● Sets, Dictionaries, Functions & Recursion.

● Map, Filter, Reduce, Namespaces, Modules & Packages, Classes and Objects.

● Containership & Inheritance, Iterators & Generators.

● Decorators, Concurrency & Parallelism, Synchronization.

Who this book is for

Students, Programmers, researchers, and software developers who wish to learn the basics of Python programming language.

Table of Contents

1. Introduction to Python

2. Getting Started

3. Python Basics

4. Strings and Regular Expressions

5. Decision Control Instruction

6. Repetition Control Instruction

7. Console Input/Output

8. Lists

9. Tuples

10. Sets

11. Dictionaries

12. Comprehensions

13. Functions

14. Recursion

15. Functional Programming

16. Modules and Packages

17. Namespaces

18. Classes and Objects

19. Intricacies of Classes and Objects

20. Containership and Inheritance

21. Iterators and Generators

22. Exception Handling

23. File Input/Output

24. Logging

25. Miscellany

26. Concurrency and Parallelism

27. Synchronization

28. Numpy Library

29. Matplotlib

30. Pandas Library

31. Security Programming

32. Interaction With ChatGPT

Appendix A - Precedence Table

Appendix B - Debugging in Python

Appendix C - Chasing the Bugs

Appendix D - Periodic Tests