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Python Programming Bible: [3 in 1] The Complete Crash Course to Learn and Explore Python beyond the Basic

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  • Дата: 13-10-2023, 19:56
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Название: Python Programming Bible: [3 in 1] The Complete Crash Course to Learn and Explore Python beyond the Basic. Including Examples and Practical Exercises to Master Python from Beginners to Pro
Автор: James P. Meyers
Издательство: Independently published
Год: 2023
Страниц: 182
Язык: английский
Формат: pdf, epub
Размер: 17.3 MB

Master Python programming and develop a highly profitable skill with this complete beginner’s crash course on coding! Are you curious about learning Python for your career or hobbies? Do you want to learn how to develop web applications, code games, manage data, and create machine learning algorithms? Or are you searching for a simple & straightforward crash course to help you add this valuable programming skill to your virtual toolbelt? Then this book is for you!

As a favorite of programmers and web developers across the globe, Python is a powerful and versatile programming language that has an immense amount of functionality. Its focus on simplicity and readability makes it perfect for absolute beginners – but how can you begin learning the fundamentals of this amazing language, access the vast library of APIs, and write your first code?

Packed with dozens of user-friendly exercises and easy-to-understand explanations, this beginner-friendly crash course arms readers with an all-in-one guide to mastering Python programming. You’ll be taken on a journey to familiarize yourself with the fundamentals of Python, develop more advanced skills, and start utilizing Python for a wide variety of cutting-edge technologies – including cloud computing, data science, neural networks, and more.

Python is an effective programming language that comes packaged with a sizable collection of frameworks and libraries to choose from. In this chapter, we will investigate some of the most well-known Python libraries and applications, such as NumPy, Pandas, Matplotlib, Flask, and Django. These are just a few examples.

NumPy, which stands for "Numerical Python," is a Python library that is available for anybody to use and is used in almost every area of research and engineering. It is the gold standard for dealing with numerical data in Python, and it is at the center of the ecosystems for scientific Python and PyData. Users of NumPy range from novice programmers to seasoned researchers engaged in cutting-edge scientific and commercial R&D. NumPy users conduct cutting-edge research and development in a variety of fields. The NumPy Application Programming Interface (API) is heavily used in most of the other Python packages used for data science and scientific research, including Pandas, SciPy, Matplotlib, scikit-learn, and scikit-image.

Whether you dream of designing video games, building stylish websites, or landing a lucrative job in the ever-growing tech industry, this Python Programming Bible combines 3 unique books to give you a comprehensive overview of Python – from basic functions to mobile app development, GUIs, Big Data & more.

Here’s just a little of what you’ll discover inside:

A Step-By-Step Guide To Setting Up Your Workspace & Installing Python
Beginner-Friendly Instructions For Using Variables, Operators, Functions, Values, Modules & Much More
How To Develop Your Skills With Object-Oriented Programming & Advanced Coding
5 Must-Know Python APIs To Instantly Improve Your Code
Powerful Ways To Harness Python For Big Data, Machine Learning & Neural Networks
Easy Steps To Debug Your Code & Avoid Common Beginner Mistakes
How To Begin Using Python For Web & App Development, Game Design, Cybersecurity, Networking & Cloud Computing
And Much More...

Books:
1) Book 1: The basics of Python programming
2) Book 2: Python libraries and tools
3) Book 3: Mastering Python like a Pro

Even if you’re brand-new to the world of programming, this book explains everything you need to know in simple & easy-to-understand language. You’ll be encouraged to build your confidence, broaden your skillset, and advance at your own pace as you deepen your appreciation for Python.

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