Название: Python Programming for Beginners: 8 in 1: The Ultimate Step-by-Step Guide to Create Your Business Projects Immediately
Автор: Chad Knowles
Издательство: Independently published
Год: November 1, 2022
Страниц: 246
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.07 MB

Do you want to learn Python Machine Learning and start implementing models? Are you looking to learn Data Science and how to leverage Python for it?

In this book, you can learn all about Python Machine Learning, Data Science, data analysis, and programming. Once you get the hang of the basics, this crash course will help you use all this knowledge for practical tasks and start programming in seven days! This is a complete Python guide with 8 sections. An excellent opportunity for you: simplicity, a wide selection of topics to learn, practical exercises, and quick and selected examples.

Although Python is more known as a programming language, it has become a consistently popular tool for data analytics. In recent years, several libraries have reached maturity thereby permitting Stata and R users to take advantage of the flexibility, performance, and beauty of Python without having to sacrifice the functionalities gathered by the older programs over the years.

In this book, we will take a look at introducing the social science and data analysis applications of Python. This book is particularly tailored for those users that have little or no programming experience of note. It will be especially useful for these programmers who wish to get things done and have a lot of experience in programs such as Stata and R.

The greatest reason for learning Python also happens to be the hardest to explain to someone who is just beginning his work in Python. Python is superbly designed in terms of structure and syntax; it is intuitive; however, very powerful general-purpose programming language. Python's main advantage lies in how easy it is. For these kinds of things, you need an easy language. A harder one will generally take quite a large toll on your ability to program and analyze data.

Because of this, taking a difficult language will show off your programming skills, but not your data analytics skills. In the end, there's a reason many of the top companies in the world use Python as their main programming language. It lets the coders focus on what's important instead of looking up syntax every 20 minutes.

Here's what you'll learn from this book:

Understanding Python
Python Data Types
Variables and constants in Python
How to install Python
Designing and using Functions
A modular approach to program organization
Using methods
Reading and writing files in Python
How to conduct a data analysis
The different Python libraries that you are able to use for deep learning
The basics of working with the TensorFlow library that can help you with your deep learning project
How to handle the Keras library for your needs
The PyTorch library and how this library is going to be able to help us out with machine learning and deep learning
Looking more at machine learning and how we are able to fit this into some of the data analysis that we are talking about
How Deep Learning is going to be helpful when it is time to handle your own predictive analysis
And much more…

About the author:
Chad Knowles is popularly known as ‘The Python Guy’ amongst his students and his colleagues at Northwestern University College of Computer and Information Science, where he is Director of Technology. He began his career as a software engineer and, then went on to complete a PhD in Computer Science from the University of Washington, during which quickly discovered his passion for writing code and about it. Chad’s books are about topics ranging from embedded systems to Internet and enterprise applications. He writes to educate students, software developers, engineers and anyone else interested understanding and writing code in Python and SQL. Over a passionate twenty years, Chad has authored several informational books like “Python Programming for Beginners”, "SQL for Beginners", “Learning SQL”, "Sql for Data Analysis", and his latest piece “Sql for Data Scientists", master deep learning and become great at programming Python and SQL with a hands-on project in data science. When not teaching to write code or writing code, he likes to photograph, hike, ski, cook and read (non-software related books too!). He lives with his loving family in Chicago, United States.