Search icon CANCEL
Subscription
0
Cart icon
Cart
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Speed Up Your Python with Rust

You're reading from  Speed Up Your Python with Rust

Product type Book
Published in Jan 2022
Publisher Packt
ISBN-13 9781801811446
Pages 384 pages
Edition 1st Edition
Languages
Author (1):
Maxwell Flitton Maxwell Flitton
Profile icon Maxwell Flitton
Toc

Table of Contents (16) Chapters close

Preface 1. Section 1: Getting to Understand Rust
2. Chapter 1: An Introduction to Rust from a Python Perspective 3. Chapter 2: Structuring Code in Rust 4. Chapter 3: Understanding Concurrency 5. Section 2: Fusing Rust with Python
6. Chapter 4: Building pip Modules in Python 7. Chapter 5: Creating a Rust Interface for Our pip Module 8. Chapter 6: Working with Python Objects in Rust 9. Chapter 7: Using Python Modules with Rust 10. Chapter 8: Structuring an End-to-End Python Package in Rust 11. Section 3: Infusing Rust into a Web Application
12. Chapter 9: Structuring a Python Flask App for Rust 13. Chapter 10: Injecting Rust into a Python Flask App 14. Chapter 11: Best Practices for Integrating Rust 15. Other Books You May Enjoy

Packaging Python code in a pip module

Now that we have our GitHub repository configured, we can start building out our Fibonacci code for our module. To achieve this, we must carry out the following steps:

  1. Build our Fibonacci calculation code.
  2. Create a command-line interface.
  3. Test our Fibonacci calculation code with unit tests.

Let's now discuss each of these steps in detail.

Building our Fibonacci calculation code

When it comes to building our Fibonacci calculation code, we will have two functions – one that will calculate a Fibonacci number and another that will take a list of numbers and lean on the calculation function to return a list of calculated Fibonacci numbers. For this module, we will take a functional programming approach. This does not mean that we should have a functional programming approach every time we build a pip module. We are using functional programming because Fibonacci sequence calculations naturally flow well with...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}