Cython Training Overview
Cython is a programming language that extends Python with C-like syntax. It allows programmers to write Python code that can be compiled into C code, resulting in significant performance improvements. Cython is often used for high-performance computing, scientific computing, and machine learning applications. The Cython programming training course teaches attendees how to write highly performant code with Cython and use NumPy arrays with Python, C, and Cython.
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
- Set up a C programming environment
- Explore how to program and run C programs
- Learn code organization through functions and include files
- Understand static typing and dynamic memory allocation
- Practice writing C code called from Python
Prerequisites
This Cython course is for students who have completed a C and Python training class or are self-taught programmers with many years of continuous Python and C experience.
Outline
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Introduction
Development Environment
- Overview of Virtual Machine for Class
- Visual Studio Code Extensions for C
- Debugging C with VS Code
C Programming Language
Program Structure
- Main Function
- Include Files
- Header Files
- Compile to Executable
- Compile to Shared Library
- Using Libraries
- Common Compile Options
Data Types
- Numbers
- Strings (Arrays of Characters)
- Arrays
- Structs
- Type Defs
- Type Casting
- Static Typing vs. Dynamic Typing
- Loose Typing vs. Strong Typing
- Static Types
Control Flow
- If
- Switch
- While
- Do-While
- For
- Goto
Functions
- Define a Function
- Call a Function
- Passing Arguments/Parameters
- Return Values
- Function References
Pointers
- Pass By Value vs. Pass By Reference
- Dynamically Allocating Memory on the Heap
- Principles and Practices of Dynamic Memory Allocation
- Linked Lists
- Untyped Pointers
Python and C Integration
- Numpy Arrays
- Ctypes FFI
- Python Struct and Structure
- Create a Simple C-Extension for Python
- Debug a C-Extension for Python
- Review C Code generated by Cython
- Basic Profiling of C functions
Conclusion
Training Materials
All Cython training students receive comprehensive courseware.
Software Requirements
- Any Windows, Linux, or Mac OS X operating system
- Standard Python 3.x or Anaconda Python 3.x
- Visual Studio Code (other editors may be used)
