Learn Python by Building Data Science Applications
This book will teach Python to complete beginners through a set of 3 practical projects. Its content goes over developing a handful of scripts, performing data analysis, train machine learning models and roll them into production. We will further outline the advanced topics and direct readers to relevant resources.
Offered by
Difficulty Level
Intermediate
Completion Time
16h4m
Language
English
About Book
Who Is This Book 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.
Learn Python by Building Data Science Applications
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 16h4m total length
Preparing the workspace
First Steps in coding variables and data types
Functions
Data Structures
Loops and other compound statements
First script: Geocoding with Web APIs
Scraping Data from the Web with Beautiful Soup 4
Simulation with Classes and inheritance
Shell, Git, Conda, and More at Your Command
Python for Data Applications
Data cleaning and manipulation
Data Exploration and Visualization
Training a Machine Learning model
Improving your Models Metrics pipelines and experiments
Packaging and testing with poetry and pytest
Data Pipelines with Luigi
Lets build a dashboard
Serving models with Rest API
Serverless API using Chalice
Best practices and Python performance
Related Resources
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