Название: Python For Beginners: The Ultimate Step by Step Learning Guide for Beginners to Python Programming in the Best Optimal Way Автор: Enrique Sanchez
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 95
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
This book is going to highlight the main Concepts of Programming and explain how these concepts could be used in Python. To get a better understanding of the Book, it is imperative that you possess a good knowledge of programming concepts such as object-oriented programming. This Guide will provide you a brief summary of Python and Application of different concepts in this language. If you wish to start your career as a Python programmer, then this book is for you.
Python is a very powerful and easy-to-learn programming tool with efficient abstract data and a simplified approach to programming. Due to the elegant syntax and compelling typing makes Python an outstanding interpretation language for rapid application development.
When you visit python.org, the Python interpreter and the extensive library are available for free as source code and in binary form for all relevant platforms and also can be distributed for free. On the same page, there are tools and programs, references to free modules as well as third-party distributions The Python interpreter can be extended easily to include new functions, and data types that can be written in C or C++ (or other languages that can be executed from C) are applied. This guide introduces the key concepts and properties of the Python language and system.
This book is suitable for beginners who want to learn both the basics of programming or general programming principles, as well as the language Python. In our opinion, there is no other common programming language that makes it easier for a beginner to learn to program.
Following are some Concepts that you will learn from this book :
A-Z guide for beginners
Why learning Python is essential
Use and importance of the main method
Use of Variables, Operators, Methods, Classes, and Objects
Advance concepts of Python such as Generators, exception handling, context managers
Use of Numpy arrays Panda Data frames for application of Python in Data Science
Suitable Python versions for beginners
And many more...
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