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Nicholas Ayden - Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions

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Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions
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Are you keen to learn Python Programming? Have you wanted to learn how to become a Python programmer?

If so, this guide is the perfect match for people just like you!

A general-purpose programming language, whose expansion and popularity is relatively recent. This is Python, a commitment to simplicity, versatility, and rapidity of development.

Python is a platform-independent and object-oriented scripting language prepared to perform any type of programming language, from Windows applications to network servers or even web pages. Python is an interpreted language. That means that, unlike languages like C and its variants, Python does not need to be compiled before it is run. Other interpreted languages include PHP and Ruby.

Writing Python code is quick but running it is often slower than compiled languages. FortunatelyPython allows the inclusion of C based extensions so bottlenecks can be optimized away and often are. The numpy package is a good example of this, its really quite quick because a lot of the number-crunching it does isnt actually done by Python!

What Is Python For?

One of the main advantages of learning Python is the possibility of creating a code with great readability, which saves time and resources, which facilitates its understanding and implementation.

These factors and others that you will see later, have made Python become one of the most used programming languages. From web applications to artificial intelligence, Python uses are endless.

Some benefits of using Python-

Python comprises of a huge standard library for most Internet platforms like Email, HTML, etc.
Provide easy readability due to use of square brackets
Easy-to-learn for beginners
Having the built-in data types saves programming time and effort from declaring variables

Inside this book, Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions, you will learn a valuable skill that will improve your coding expertise!

Heres what we will talk about in this book:

Python Features
Basics of Python
Data Structures & Object-Oriented Python
File management
Conditionals, Iterables & Regex in Python
Simple recap projects
Files & Error Handling In Python
Some powerful tips and tricks for beginner Python programmers that will fast-track your journey to becoming a master

And Much More!

This book will introduce you to the Python programming language and make sure that after reading the guide, you shall be aware of the basics of the language and able to create simple Python programs. This book will help you to learn Python programming, from beginner to intermediate then advanced level. As such, this book will handle everything you need to build a strong understanding of the basics of Python programming language.

If youve been thinking seriously about digging into programming, Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions, will get you up to speed and this guide is going to furnish you with all the information you need to start writing useful software and applications in as little time as possible.

Why wait any longer? Add to Cart to receive your book instantly!

Nicholas Ayden: author's other books

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Python Programming

The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions

Written by Nicholas Ayden

All rights reserved. No part of this guide may be reproduced in any form without permission in writing from the publisher except in the case of brief quotations embodied in critical articles or reviews.

Legal & Disclaimer

The information contained in this book and its contents is not designed to replace or take the place of any form of medical or professional advice; and is not meant to replace the need for independent medical, financial, legal or other professional advice or services, as may be required. The content and information in this book has been provided for educational and entertainment purposes only.

The content and information contained in this book has been compiled from sources deemed reliable, and it is accurate to the best of the Author's knowledge, information and belief. However, the Author cannot guarantee its accuracy and validity and cannot be held liable for any errors and/or omissions. Further, changes are periodically made to this book as and when needed. Where appropriate and/or necessary, you must consult a professional (including but not limited to your doctor, attorney, financial advisor or such other professional advisor) before using any of the suggested remedies, techniques, or information in this book.

Upon using the contents and information contained in this book, you agree to hold harmless the Author from and against any damages, costs, and expenses, including any legal fees potentially resulting from the application of any of the information provided by this book. This disclaimer applies to any loss, damages or injury caused by the use and application, whether directly or indirectly, of any advice or information presented, whether for breach of contract, tort, negligence, personal injury, criminal intent, or under any other cause of action.

You agree to accept all risks of using the information presented inside this book.

You agree that by continuing to read this book, where appropriate and/or necessary, you shall consult a professional (including but not limited to your doctor, attorney, or financial advisor or such other advisor as needed) before using any of the suggested remedies, techniques, or information in this book.

Table of Contents

Chapter 1: Introduction to Python

What Is Python?

A general-purpose programming language, whose expansion and popularity is relatively recent. This is Python, a commitment to simplicity, versatility, and rapidity of development.

Python is a platform-independent and object-oriented scripting language prepared to perform any type of programming language, from Windows applications to network servers or even web pages. It is an interpreted language, which means that it is not necessary to compile with the source code to be capable to execute it with, which offers advantages such as the speed of development and inconveniences such as lower speed.

In recent years the language has become popular, thanks to several reasons such as:

The number of libraries it contains, types of data and functions incorporated with the language itself, which helps to perform many common tasks without having to program them from scratch.
The simplicity and speed with which the programs are created. A program in Python can have 3 to 5 lines of code less than its equivalent in Java or C.
The number of platforms on which you can develop, such as Unix, Windows, OS/2, Mac, Amiga, and others.
Also, Python is free, even for business purposes.

What Is Python For?

One of the main advantages of learning Python is the possibility of creating a code with great readability, which saves time and resources, which facilitates its understanding and implementation.

These factors and others that you will see later, have made Python become one of the most used programming languages. From web applications to artificial intelligence, Python uses are endless.

1- Python in Artificial Intelligence (AI)

Python is a fast, scalable, robust and open-source writing language, advantages that make Python a perfect ally for Artificial Intelligence.

It allows you to capture complex ideas with a few lines of code, which is not possible with other languages.

There are libraries such as "Keras" and "TensorFlow", which contain a lot of information about the functionalities of machine learning.

Also, there are libraries provided by Python, which are widely used in AI algorithms such as Scikitl, a free machine learning library that features several regression, classification and grouping algorithms.

2- Python in Big Data

The use of Python is widespread in data analysis and the extraction of useful information for companies.

In addition to its simplicity, which is a great advantage, Python has data processing libraries such as 'Pydoop', which are of great help to professionals, since you can write a MapReduce code in Python and process the data in the cluster HDFS

Other libraries such as "Dask" and "Pyspark" make data analysis and management even easier. Python is fast and easily scalable, features that help you generate information in real-time environments and convert that information to the languages used in Big Data.

3- Python in Data Science

Since the introduction of Python numerical engines such as Pandas and NumPy, researchers have switched to Python from the previous language, MATLAB.

Python deals with tabular, matrix and statistical data, and even displays them with popular libraries such as Matplotlib and Seaborn.

4- Python in Test Frameworks

Testing is another activity that has been changed to Python.

Python is ideal for validating ideas or products, as it has many integrated frameworks that help debug code and offer fast workflows and execution.

Testing tools such as Unittest, Pytest and Nose test make testing easier. Python also supports cross-platform tests and browsers with different frames, such as "PyTest" and "Robot."

Testing, which is usually one of the most arduous tasks, becomes something much simpler and faster.

5-Python in Web Development

Python allows you to build much more with fewer lines of code, so prototypes are created more efficiently.

The Django framework, provided by Python, is an advantage for all developers, as it can be used to create dynamic and very secure web applications.

The Python language is also used for scraping, that is, obtaining information from other websites. Applications like Instagram, Bit Bucket, Pinterest are built in such frameworks.

Python uses and applications are well beyond the aforementioned fields, from game development to data visualization, from networking to software development in general. Python applications are numerous.

If you are a developer or want to dedicate yourself to one of the fields mentioned above, we invite you to take a little of your time to finish to read this whole book. Python is one of the languages that you must learn and master to work on the most cutting-edge technological projects.

Python Features

Let's see the main properties of the Python language, which are very similar to programming languages such as Java or Ruby

1- General-Purpose Language

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