Rust for Python Developers


Course Number: RUST-116
Duration: 5 days (32.5 hours)
Format: Live, hands-on

Rust Training for Python Programmers Overview

This Rust training course teaches Python developers how to master the Rust programming language by leveraging their knowledge of Python programming. By the end of the course, students confidently build efficient, safe, and concurrent applications in Rust.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some courses are available as live, instructor-led training from one of our partners.

Objectives

  • Understand the Rust philosophy
  • Set up and navigate the Rust environment
  • Explore Rust within the context of Python
  • Understand basic Rust syntax and semantics
  • Use control flow and logic
  • Understand ownership and borrowing concepts
  • Use tuples, enums, structs, and vectors
  • Employ pattern matching
  • Implement Rust’s concurrency model
  • Create custom macros
  • Write Rust tests
  • Create documentation with Rustdoc

Prerequisites

  • Proficiency in Python programming
  • Basic understanding of programming concepts such as variables, expressions, functions, and control flow

Outline

Expand All | Collapse All

Introduction
What is Rust?
  • Rust’s Philosophy and Goals
  • History and motivation
  • Rust vs Python
  • Rust Community
  • The Rust Playground
Install Rust
  • Script
  • macOS Homebrew
  • Platform Installers
Rust Editors
  • VSCode with Extensions
  • Rust Rover
  • Debug Rust in VSCode
  • GitHub Copilot
Hello World
  • Create a new Project
  • Main Function
  • Print to the Console
  • Comments
Cargo
  • What is Cargo?
  • How does Cargo compare to Pip and Conda?
  • Rust Crates compared to Python Packages
  • Run Command
  • Build Command
  • Build Release Command
  • Install Third-Party Crates
Rust and Python Differences
  • Static Typing vs Dynamic Typing
  • Memory Management
  • Error Handling
  • Sequence, Selection, and Iteration
  • Structs vs Classes
  • Traits vs Protocols
  • Generics
  • Concurrency
Scalar Types and Data
  • Rust Types vs Python Types
  • Constants
  • Immutable Variables
  • Mutable Variables
Code Logic
  • If Statement
  • Loop with Break
  • While Loop
Functions
  • Define a Function
  • Call a Function
  • Paramter Types
  • Return Types
  • Closure Functions
Modules
  • Import Modules from Standard Library
  • Import Modules from Third-Party Crates
  • Define Custom Modules
  • Import Custom Modules
Built-In Macros
  • print! and println!
  • format!
  • vec!
  • include_str! and include_bytes!
  • cfg! and env!
  • panic!
Memory Management
  • Problems with Manual Management
  • Problems with Garbage Collection
  • Ownership & Borrowing
  • Rust vs Python
  • References
  • Lifetimes
Strings
  • String Slices
  • String Objects
  • Convert Between Slices and Strings
  • Parse Number from String
  • Trim String
  • Print Strings with Interpolation
Tuples
  • What is a Tuple?
  • Heterogeneous Elements
  • Access Elements
  • Destructuring
  • Immutable
Enums
  • What is an Enum?
  • Define an Enum
  • Using Enums
  • Enum Variants
  • Enum Methods
  • Enums and Pattern Matching
  • Result Enum
  • Option Enum
  • Enums vs Structs
Structs
  • What is a Struct?
  • Create Instance
  • Field Init Shorthand
  • Struct Update Syntax
  • Tuple Structs
  • Unit-Like Structs
  • Ownership of Struct Data
  • Function Implementation
  • Associated Functions
  • Stuct Methods
  • Constructor Pattern
Vectors
  • What is a Vector?
  • Create a Vector
  • Add and Remove Elements
  • Access Elements
  • Iterate over Elements
  • Slicing, Length, and Capacity
  • Common Vector Operations
  • Understand Memory Management
  • Ownership and Borrowing Rules
Collections and Iterators
  • Vectors, arrays, and slices
  • HashMaps and hash sets
  • Iteration and iterators
Traits
  • What is a trait?
  • How does a trait related to traditional OOP interfaces?
  • Defining a trait
  • Implementing a trait
  • Default implementations
  • Traits as parameters
  • Traits as return types
  • Traits as bounds
Generics
  • What is a generic?
  • How does a generic related to traditional OOP generics?
  • Defining a generic
  • Implementing a generic
  • Generic bounds
  • Multiple generic types
  • Where clauses
Pattern Matching
  • What is Pattern Matching?
  • Match Statement
  • If Let Statement
  • While Let Statement
  • Destructuring Stucts and Tuples
  • Pattern Matching with Enums
  • Pattern Matching with Functions
  • Pattern Matching and Ownership
  • Refutability and Irrefutability
Concurrent Programming
  • What is Concurrent Programming?
  • Using Multiple Threads
  • Mutex, RwLock, and Arc
  • Message Passing with Channels
  • Sync and Send Traits
  • Futures and Async/Await
Unsafe Rust
  • What is Unsafe Rust?
  • Raw Pointers
  • Dereferencing Raw Pointers
  • Calling Unsafe Functions
  • Creating Safe Abstractions
  • Unsafe Traits
  • Unsafe Blocks
  • Unsafe Superpowers
Macros and Metaprogramming
  • What is a Macro?
  • Define a Macro with macro_rules!
  • Using Pattern Matching
  • Define Expansion
  • Use the Custom Macro
Tests
  • What is a Test?
  • Test Functions
  • Test Organization
  • Test Attributes
  • Test Coverage
  • assert!, assert_eq!, and assert_ne!
Documentation with Rustdoc
  • What is Rustdoc?
  • Add Documentation to Rust Code
  • Triple-Slash Comments and the #[doc] Attribute
  • Generate Documentation
  • Linking and Cross-Referencing Documentation
Python Extension written in Rust (overview)
  • Why write Python Extensions in Rust?
  • Create a New Extensions
  • Compile, Run, and Debug a Rust Extension
  • Run Parallel Code outside of the GIL
  • GIL and Rust Lifetimes
  • Create Python Classes in Rust
Conclusion

Training Materials

All students receive comprehensive courseware covering all topics in the course. Courseware is distributed via GitHub through documentation and extensive code samples.

Software Requirements

  • A free, personal GitHub account to access the courseware
  • Permission to install Rust and Visual Studio Code on their computers
  • Permission to install Rust Crates and Visual Studio Extensions

If students cannot configure a local environment, a cloud-based environment can be provided.



Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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