Let Us Python - 5th Edition: Python Is Future, Embrace It Fast Learn Python Quickly A Programmer-Friendly Guide

by Yashavant Kanetkar, Aditya Kanetkar

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. ● 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

494 pages, Paperback

Published October 28, 2022