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Let Us Python: Python Is Future, Embrace It Fast Learn Python Quickly Through This Programmer-Friendly Guide - 7th Edition - Softcover
Synopsis
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
"synopsis" may belong to another edition of this title.
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