Learn Python by Building Data Science Applications Book Reviews
Learn Python by Building Data Science Applications by Philipp Kats & David Katz Book Summary
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 extensive ecosystem of Python data science packages, including NumPy, Pandas, scikit-learn, Altair, and Datashader. Furthermore, you'll be able to perform data analysis, train models, and interpret and communicate the results. Finally, you'll get to grips with structuring and scheduling scripts using Luigi and sharing your machine learning models with the world as a microservice.
By the end of the book, you'll have learned not only how to implement Python in data science projects, but also how to maintain and design them to meet high programming standards.
What you will learn
Code in Python using Jupyter and VS Code
Explore the basics of coding – loops, variables, functions, and classes
Deploy continuous integration with Git, Bash, and DVC
Get to grips with Pandas, NumPy, and scikit-learn
Perform data visualization with Matplotlib, Altair, and Datashader
Create a package out of your code using poetry and test it with PyTest
Make your machine learning model accessible to anyone with the web API
Who this book is for
If you want to learn Python or data science in a fun and engaging way, this book is for you. You'll also find this book useful if you're a high school student, researcher, analyst, or anyone with little or no coding experience with an interest in the subject and courage to learn, fail, and learn from failing. A basic understanding of how computers work will be useful.
Book Name | Learn Python by Building Data Science Applications |
Genre | Computers |
Author | Philipp Kats & David Katz |
Published | 30 August 2019, Friday |
Language | English |
E-Book Size | 15.36 MB |
Learn Python by Building Data Science Applications (Philipp Kats & David Katz) Book Reviews 2024
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Summary of Learn Python by Building Data Science Applications by Philipp Kats & David Katz
The Learn Python by Building Data Science Applications book written by Philipp Kats & David Katz was published on 30 August 2019, Friday in the Computers category. A total of 46 readers of the book gave the book 0 points out of 5.
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