Description
Practise! That is what Python Programming is all about. To be able to master Python you need to practise writing a large number of programs in it. As you try to do so, you would find that there are multiple ways of writing any program. So you need to find out whether you have chosen the best way to implement your program. That’s where you would find this book useful. ‘Let Us Python’ contains exercises at the end of each chapter. Solving these exercises would help you build your Python skills. As you do so, many of you would feel the need for a trusted companion who will ratify your answers and programs. ‘Let Us Python Solutions’ will be that trusted companion. It will help you validate your answers and teach you how to write better Python programs. What you will learn ● Python Basics, Control Flow Instructions, Console Input/Output ● Strings, Lists & Tuples, Sets & Dictionaries, Comprehensions ● Functions & Lambdas, Map, Filter, Reduce, Namespaces ● Modules & Packages, Classes & Objects, Containership & Inheritance ● Iterators & Generators, Exception Handling, File Input/Output ● Logging & Decorators, Database Operations, Concurrency & Parallelism ● Synchronization, Numpy & Matplotlib, Pandas ● ChatGPT Programming, Security Programming 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 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. Database Operations 26. Miscellany 27. Concurrency and Parallelism 28. Synchronization 29. Numpy Library 30. Matplotlib 31. Pandas Library 32. Security Programming 33. Interaction with ChatGPT 34. Periodic Tests






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