Matthew - Bible of Python Programming: A Complete Step By Step Guide to Learn Python Programming ( Crash Course With Hands-On Projects )

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Bible of Python Programming A Complete Step By Step Guide to Learn Python Programming (Crash Course with Hands-On Projects) Robert Matthew Copyright 2021 - All rights reserved. The contents of this book may not be reproduced, duplicated, or transmitted without the author's express written permission. Under no circumstances will the publisher be held legally responsible or liable for any reparation, damages, or monetary loss caused by the information contained herein, whether directly or indirectly. Legal Notice: Without the author's permission, you may not change, distribute, sell, use, quote, or paraphrase any part of this book. Disclaimer Notice: Please keep in mind that the information in this document is solely for educational purposes. There are no express or implied guarantees of any kind.

Readers understand that the author is not providing legal, economical, medical, or other professional advice. Before attempting any of the strategies described in this book, please seek the advice of a licensed professional. Through reading this text, the reader acknowledges that the author is not responsible for any damages, direct or indirect, incurred as a result of using the information contained within it, including, but not limited to, errors, omissions, or inaccuracies.

Table of Contents

Introduction

Python is a loosely typed object-oriented programming language that can be used for a wide range of activities, including web development and desktop application development, as well as data science and machine learning. Python has become one of the most popular programming languages in the world due to its simple syntax and ease of learning. Guido van Rossum invented Python in the late 1980s.

This book serves as an introduction to Python programming.

Chapter 1

Why Python?

Learning Python has a number of benefits. Here are a few examples:

• Easy to learn

Python is one of the simplest languages to learn because of its simple syntax and loose typing. In contrast to other languages, you do not need to learn how to use a plethora of bracket types to specify code blocks. End-of-line semicolon errors are also avoided. Finally, when storing data in a variable, you do not need to define its type.

These points may seem insignificant to experienced programmers, but they are major turn-offs for those who are new to programming.

• Open Source and Large Developer Community

Python is an open source language which means it can be used to develop, share and distribute applications for commercial as well as non-commercial purposes without any copyright infringements. Furthermore, Pythons large developer community makes it easier to lookup for solutions to the problem.

• Support for Web development

Python can be used to create websites. In reality, there are some excellent Python frameworks available, such as Django and Flask, that make server-side web development much simpler and more robust.

• Used for Data Science Machine Learning

You've probably heard the phrase "data is the future." If data is really the future, then Python is unquestionably the language to learn, as the majority of data science and machine learning are actually implemented in Python.

Several machine learning and deep learning libraries, such as Sklearn, Tensorflow, and Keras, have simplified the creation of complex machine learning models.

Important Features of Python

The following are some of Python's most essential features:

• Source code to Byte code

Without any intermediate steps, Python source code is compiled directly to byte code. This allows Python scripts to run on multiple platforms without the need for an external tool.

• Object Oriented

Python is a fully object-oriented programming language. In Python, everything is an entity.

• Support for C/C++ Extension

Python code can be expanded further in C and C++.

• Support for C/C++ Extension

Python code can be expanded further in C and C++.

This method will greatly increase the speed of a Python program.

• Dynamic Language

Python is a dynamic programming language. Forms are bound to values rather than variables. In addition, method and function lookups are performed at runtime.

• Automatic Garbage Collection

Python handles garbage collection automatically.

• Highly Structured Language

Statements, functions, classes, modules, and packages, as well as the indentation-based syntax of Python, allow developers to write highly structured and readable code.

• Fast and Maintainable Compared to Other Languages

Python is quicker, more organized, and easier to manage as compared to other compiled languages.

About the Book

This book's aim is to provide an in-depth but basic understanding of the Python programming language.

About the Book

This book's aim is to provide an in-depth but basic understanding of the Python programming language.

The book is intended for both beginning and advanced readers. The book assists newcomers in getting their feet wet with realistic Python. Expert users, on the other hand, may use it as a guide to various basic and advanced Python concepts. All of the main Python concepts have been organized into chapters. A chapter includes theoretical details about specific Python principles as well as their implementation in Python script form. To get the most out of this book, readers should first fully understand the definition before practicing the code.

Whats next? In the following chapter, we will create the environment needed to run a Python script. We'll install the various software needed to run the scripts in this book. Have fun coding!

Chapter 2

Environment Setup

In thi chapter, we'll set up the software that will enable us to run the Python programs. In this regard, there are many choices. To write Python programs, simply install core Python and use a text editor such as notepad. These programs can then be executed using command line utilities.

The other alternative is to install a Python Integrated Development Environment (IDE). The integrated development environment (IDE) offers a full programming environment, including Python installation, editors, and debugging software. The majority of advanced programmers use an IDE to build Python. We're going to do the same thing. Anaconda is the IDE we'll be using in this book. Anaconda is lightweight, simple to install, and includes a wide range of development tools.

To install third-party applications, Anaconda has its own command line utility. The good news is that Anaconda eliminates the need to install the Python environment separately.

Anaconda Download and Installation

To download and install Anaconda, follow these steps. This segment will walk you through the process of installing Anaconda for Windows. The installation process for Linux and Mac is nearly identical.

1. Go to the following URL https://www.anaconda.com/download/
2. You will be presented with the following webpage.

   Select Python 3.6 version as this is currently the latest version of Python. Click the Download button to download the executable file. It takes 2-3 minutes to download the file depending upon the speed of your internet.

1. Once the executable file is downloaded, go to the download folder and run the executable. The name of the executable file should be similar to Anaconda3-5.1.0-Windows-x86_64. When you run the file you will see installation wizard like the one in the following screenshot. Click Next button.

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