2 Books in 1! Are you searching for the fastest way to become proficient in Python programming? If you are a student or a professional looking for more technical skills, then this is definitely the book for you. In this phenomenal bundle, Jason Callaway has condensed all the knowledge you need in a simple and clear way, with practical examples, detailed explanations, tips and tricks from his experience. His revolutionary approach will speed up your learning, allowing you to master the Python language and its powerful applications in an extremely short time, even if you are a complete beginner.
Here is just a tiny fraction of what you will learn: The basics of Python programming Variables, data types, basic and advanced operations Essential Python libraries such as NumPy, Pandas, Matplotlib The most up-to-date computational methods for data analysis Data visualization tools and techniques Real world Python programming applications: machine learning and the future of artificial intelligence How to build neural networks with Python Step-by-step exercises, practical examples, tips and tricks You will be amazed by the large number of programs that you will be able to create in no time.
Python Programming Crash Course 2 in 1This Book Includes: Python Programming for Beginners, Python Programming for Intermediates Learn the Fundamentals of Python ProgrammingPython is one of the best programming languages out there. It is easy for beginners to learn and powerful enough to help even advanced programmers get their wo ...
Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, a ...
Unleash the power of Python for your data analysis projects with For Dummies!Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization.
The best applications use data and present it in a meaningful, easy-to-understand way. Packed with sample code and tutorials, this book will walk you through installing common charts, graphics, and utility libraries for the Python programming language.
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