Python Mastery: A Step-by-Step Course to Master Web Development, Data Analysis, and Machine Learning with Python

Python Mastery: A Step-by-Step Course to Master Web Development, Data Analysis, and Machine Learning with Python

by Lena Neill
Python Mastery: A Step-by-Step Course to Master Web Development, Data Analysis, and Machine Learning with Python

Python Mastery: A Step-by-Step Course to Master Web Development, Data Analysis, and Machine Learning with Python

by Lena Neill

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Overview

Do you want to learn how to code from scratch?

Python is a simple and powerful programming language that you can use for various purposes, such as web development, data analysis, and machine learning. Its code is easy to read and write, and it avoids unnecessary complexity.

Python has many advantages over other languages, such as C++ or Java. It lets you write more with less code, thanks to its implicit and dynamic typing. It also checks the types of your variables, which are case-sensitive. Python does not need special characters to end statements, unlike other languages.

Python uses indentation to structure your code, and you need to use a colon to end statements. Python also allows you to assign multiple variables on the same line.

This book covers many important topics, such as:

The 7 main features of Python Why you should choose Python The best Python web app frameworks and their benefits The different data types in Python How to use conditional statements and loops How Python is used for Machine Learning and why it is popular And much more!

Python programming uses many keywords that are mostly in English. Knowing these keywords means that you understand the basics of Python programming. Before you learn these keywords, you need to master the fundamental concepts of Python, which will help you learn every aspect of this language.

This book is designed to help you start your Python programming journey, giving you a solid foundation to build on. Get your copy today and start coding!

Product Details

BN ID: 2940185798652
Publisher: Ryan Roffe
Publication date: 02/28/2024
Sold by: Barnes & Noble
Format: eBook
File size: 865 KB
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