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Learn Python by Building Data Science Applications

You're reading from   Learn Python by Building Data Science Applications A fun, project-based guide to learning Python 3 while building real-world apps

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789535365
Length 482 pages
Edition 1st Edition
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Authors (2):
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Philipp Kats Philipp Kats
Author Profile Icon Philipp Kats
Philipp Kats
David Katz David Katz
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David Katz
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Table of Contents (26) Chapters Close

Preface 1. Section 1: Getting Started with Python
2. Preparing the Workspace FREE CHAPTER 3. First Steps in Coding - Variables and Data Types 4. Functions 5. Data Structures 6. Loops and Other Compound Statements 7. First Script – Geocoding with Web APIs 8. Scraping Data from the Web with Beautiful Soup 4 9. Simulation with Classes and Inheritance 10. Shell, Git, Conda, and More – at Your Command 11. Section 2: Hands-On with Data
12. Python for Data Applications 13. Data Cleaning and Manipulation 14. Data Exploration and Visualization 15. Training a Machine Learning Model 16. Improving Your Model – Pipelines and Experiments 17. Section 3: Moving to Production
18. Packaging and Testing with Poetry and PyTest 19. Data Pipelines with Luigi 20. Let's Build a Dashboard 21. Serving Models with a RESTful API 22. Serverless API Using Chalice 23. Best Practices and Python Performance 24. Assessments 25. Other Books You May Enjoy

Conda

Last, but not least, let's talk about Conda. Yes, this is a tool, developed by Anaconda, hence the name. If you installed Python via Anaconda, you have it already. Conda represents two things at the same time – a package manager, and a virtual environment manager. Let's now discuss these two roles in more detail.

First, and foremost, Conda allows you to install Python packages (and other tools). Compared to Python's original pip package manager, it is language-agnostic, and can install any type of software; this feature is vital to the data science stack, as many tools are based on code, written in the C, C#, and Fortran languages—Conda just pulls a binary suitable for your operating system, if there is one.

In order to see all the packages already installed, type conda list in your terminal, and hit Enter – this will print out all the...

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