Learn Python by Building Data Science Applications

Learn Python by Building Data Science Applications takes a hands-on approach to teaching Python programming by guiding you through building engaging real-world data science projects. This book introduces Python's rich ecosystem and equips you with the skills to analyze data, train models, and deploy them as efficient applications.

What this Book will help me do

• Get proficient in Python programming by learning core topics like data structures, loops, and functions.
• Explore data science libraries such as NumPy, Pandas, and scikit-learn to analyze and process data.
• Learn to create visualizations with Matplotlib and Altair, simplifying data communication.
• Build and deploy machine learning models using Python and share them as web services.
• Understand development practices such as testing, packaging, and continuous integration for professional workflows.

Author(s)

None Kats and None Katz are seasoned Python developers with years of experience in teaching programming and deploying data science applications. Their expertise spans providing learners with practical knowledge and versatile skills. They combine clear explanations with engaging projects to ensure a rewarding learning experience.

Who is it for?

This book is ideal for individuals new to programming or data science who want to learn Python through practical projects. Researchers, analysts, and ambitious students with minimal coding background but a keen interest in data analysis and application development will find this book beneficial. It's a perfect choice for anyone eager to explore and leverage Python for real-world solutions.