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Can I read Learn Python by Building Data Science Applications : A Fun, Project-based Guide to Learning Python 3 While Building Real-world Apps on EtoBox?

Learn Python by Building Data Science Applications : A Fun, Project-based Guide to Learning Python 3 While Building Real-world Apps by Kats, Philipp, Katz, David is a nonfiction available to read on EtoBox.

What is Learn Python by Building Data Science Applications : A Fun, Project-based Guide to Learning Python 3 While Building Real-world Apps about?

Understand the constructs of the Python programming language and use them to build data science projects Key Features Learn the basics of developing applications with Python and deploy your first data application Take your first steps in Python programming by understanding and using data structures, variables, and loops Delve into Jupyter, NumPy, Pandas, SciPy, and sklearn to explore the data science ecosystem in Python Book Description Python is the most widely used programming language for building data science applications. Complete with step-by-step instructions, this book contains easy-to-follow tutorials to help you learn Python and develop real-world data science projects. The "secret sauce" of the book is its curated list of topics and solutions, put together using a range of real-world projects, covering initial data collection, data analysis, and production. This Python book starts by taking you through the basics of programming, right from variables and data types to classes and functions. You'll learn how to write idiomatic code and test and debug it, and discover how you can create packages or use the range of built-in ones. You'll also be introduced to the extens

Who reads Learn Python by Building Data Science Applications : A Fun, Project-based Guide to Learning Python 3 While Building Real-world Apps?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Kats, Philipp, Katz, David
Publisher
Packt Publishing, Limited; Packt Publishing
Published
2019
Language
EN
ISBN
9781789533064
Category
nonfiction
Subjects
Computer Science, Science, Management

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