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Let Us Python - 5th Edition: Python Is Future, Embrace It Fast Learn Python Quickly A Programmer-Friendly Guide (English Edition) - Softcover
Synopsis
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.
Description
Most Programmer’s learning Python are usually comfortable with some or the other programming language and are not interested in going through the typical learning 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 the new language offer. This book should help them immensely. It guides you from the fundamentals of using module through the advanced object orientation, concurrence and synchronization.
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. Miscellany
25. Concurrency and Parallelism
26. Synchronization
27. Numpy Library
28. Matplotlib
Appendix A - Precedence Table
Appendix B - Debugging in Python
Appendix C - Chasing the Bugs
Appendix D - Periodic Tests
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