book

Speed Up Your Python with Rust

Name: Speed Up Your Python with Rust
Author: Maxwell Flitton
ISBN: 9781801811446

by Maxwell Flitton

January 2022

Intermediate to advanced

384 pages

7h 30m

English

Packt Publishing

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Speed Up Your Python with Rust
ContributorsAbout the authorAbout the reviewers
Preface
Who this book is forWhat this book coversTo get the most out of this bookDownload the example code filesDownload the color imagesConventions usedGet in touchShare Your Thoughts
Section 1: Getting to Understand Rust
Chapter 1: An Introduction to Rust from a Python Perspective
Technical requirementsUnderstanding the differences between Python and RustWhy fuse Python with Rust?Passing strings in RustSizing up floats and integers in Rust Managing data in Rust's vectors and arraysReplacing dictionaries with hashmaps Error handling in RustUnderstanding variable ownership CopyMoveImmutable borrowMutable borrowKeeping track of scopes and lifetimesBuilding structs instead of objects Metaprogramming with macros instead of decoratorsSummaryQuestionsAnswersFurther reading
Chapter 2: Structuring Code in Rust
Technical requirementsManaging our code with crates and Cargo instead of pipStructuring code over multiple files and modules Building module interfaces Benefits of documentation when coding Interacting with the environmentSummaryQuestionsAnswersFurther reading
Chapter 3: Understanding Concurrency
Technical requirementsIntroducing concurrency Threads Processes Basic asynchronous programming with threads Running multiple processes Customizing threads and processes safelyAmdahl's law DeadlocksRace conditions SummaryQuestionsAnswersFurther reading
Section 2: Fusing Rust with Python
Chapter 4: Building pip Modules in Python
Technical requirementsConfiguring setup tools for a Python pip moduleCreating a GitHub repositoryDefining the basic parametersDefining a README fileDefining a basic modulePackaging Python code in a pip moduleBuilding our Fibonacci calculation codeCreating a command-line interfaceBuilding unit testsConfiguring continuous integrationManually deploying onto PyPIManaging dependenciesSetting up type checking for PythonSetting up and running tests and type-checking with GitHub ActionsCreate automatic versioning for our pip packageDeploying onto PyPI using GitHub ActionsSummaryQuestionsAnswersFurther reading
Chapter 5: Creating a Rust Interface for Our pip Module
Technical requirementsPackaging Rust with pipDefine gitignore and Cargo for our packageConfiguring the Python setup process for our package Installing our Rust library for our packageBuilding a Rust interface with the pyO3 crateBuilding our Fibonacci Rust codeCreating command-line tools for our packageCreating adapters for our packageBuilding tests for our Rust packageComparing speed with Python, Rust, and NumbaSummaryQuestionsAnswersFurther reading
Chapter 6: Working with Python Objects in Rust
Technical requirementsPassing complex Python objects into RustUpdating our setup.py file to support .yml loadingDefining our .yml loading commandProcessing data from our Python dictionaryExtracting data from our config fileReturning our Rust dictionary to our Python systemInspecting and working with custom Python objectsCreating an object for our Rust interfaceAcquiring the Python GIL in RustAdding data to our newly created PyDict structSetting the attributes of our custom objectConstructing our own custom Python objects in RustDefining a Python class with the required attributesDefining class static methods to process input numbers Defining a class constructorWrapping up and testing our moduleSummaryQuestionsAnswersFurther reading

Chapter 7: Using Python Modules with Rust
Technical requirementsExploring NumPy Adding vectors in NumPy Adding vectors in pure Python Adding vectors using NumPy in Rust Building a model in NumPy Defining our modelBuilding a Python object that executes our modelUsing NumPy and other Python modules in RustRecreating our NumPy model in Rust Building get_weight_matrix and inverse_weight_matrix functions Building get_parameters, get_times, and get_input_vector functionsBuilding calculate_parameters and calculate_times functions Adding calculate functions to the Python bindings and adding a NumPy dependency to our setup.py fileBuilding our Python interface SummaryQuestionsAnswersFurther reading
Chapter 8: Structuring an End-to-End Python Package in Rust
Technical requirementsBreaking down a catastrophe modeling problem for our packageBuilding an end-to-end solution as a packageBuilding a footprint merging processBuilding the vulnerability merge processBuilding a Python interface in RustBuilding our interface in PythonBuilding package installation instructionsUtilizing and testing our packageBuilding a Python construct model using pandasBuilding a random event ID generator functionTiming our Python and Rust implementations with a series of different data sizesSummaryFurther reading
Section 3: Infusing Rust into a Web Application
Chapter 9: Structuring a Python Flask App for Rust
Technical requirementsBuilding a basic Flask applicationBuilding an entry point for our applicationBuilding our Fibonacci number calculator moduleBuilding a Docker image for our application Building our NGINX service Connecting and running our Nginx service Defining our data access layerDefining a PostgreSQL database in docker-compose Building a config loading system Building our data access layer Setting up the application database migration systemBuilding database modelsApplying the database access layer to the fib calculation viewBuilding a message bus Building a Celery broker for Flask Building a Fibonacci calculation task for Celery Updating our calculation viewDefining our Celery service in DockerSummaryQuestionsAnswersFurther reading
Chapter 10: Injecting Rust into a Python Flask App
Technical requirementsFusing Rust into Flask and CeleryDefining our dependency on the Rust Fibonacci number calculation packageBuilding our calculation model with RustCreating a calculation view using RustInserting Rust into our Celery taskDeploying Flask and Celery with RustDeploying with a private GitHub repositoryBuilding a Bash script that orchestrates the whole processReconfiguring the Rust Fib package installment in our Dockerfile Fusing Rust with data accessSetting up our database cloning packageSetting up the diesel environmentAutogenerating and configuring our database models and schema Defining our database connection in RustCreating a Rust function that gets all the Fibonacci records and returns themDeploying Rust nightly in FlaskSummaryQuestionsAnswersFurther reading
Chapter 11: Best Practices for Integrating Rust
Technical requirementsKeeping our Rust implementation simple by piping data to and from RustBuilding a Python script that formulates the numbers for calculationBuilding a Rust file that accepts the numbers, calculates the Fibonacci numbers, and returns the calculated numbers Building another Python script that accepts the calculated numbers and prints them outGiving the interface a native feel with objectsDefining traits Defining struct behavior with traits Passing traits through functions Storing structs with common traits Running our traits in the main file Keeping data-parallelism simple with RayonFurther reading
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Overview

Enhance your Python projects by unleashing the prowess of Rust, a language heralded for its efficiency and safety. In "Speed Up Your Python with Rust," you'll learn how to integrate Rust into Python applications to boost their performance and leverage PyO3 to create seamless Python extensions.

What this Book will help me do

Master the fundamentals of Rust from a Python developer's perspective.
Gain expertise in using PyO3 to integrate Rust code as Python modules.
Explore the best practices for writing thread-safe and powerful concurrent Rust applications.
Develop, package, and deploy private Python pip modules written in Rust.
Enhance Python-based Flask applications with Rust for performance optimization.

Author(s)

Maxwell Flitton is an experienced software developer with a strong track record of engineering fast, secure, and scalable applications. Transitioning to Rust after years in Python development, Maxwell emphasizes practical, real-world strategies for integrating Rust into Python environments effectively and efficiently. He commits to guiding developers to make data-driven, thoughtful decisions in modern programming.

Who is it for?

This book is ideal for Python developers eager to unlock the capabilities of Rust in their projects. Whether you're an intermediate programmer wishing to optimize application performance or an advanced coder exploring Rust's memory safety and concurrency features, this guide offers actionable insights and hands-on examples tailored for your needs.

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ISBN: 9781801811446

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