C and Python Training Overview
This C Programming for Python Developers training course teaches attendees the C programming language and how to incorporate custom C libraries into their Python programs. Participants learn the essentials of C programming to write programs and code libraries.
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
- Learn how to 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
Students should be able to write simple Python scripts using basic data types, program structures, and the standard Python library. All students must be software developers with a strong understanding of software development and modern programming languages.
Outline
Expand All | Collapse All
Introduction
The Development Environment
- Overview of Virtual Machine for Class
- Visual Studio Code Extensions for C
- Debugging C with VS Code
The C Programming Language
- Development Tools
- 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 Python programs calling C functions
Conclusion
Training Materials
All C/Python training students receive comprehensive courseware.
Software Requirements
- A virtual machine (VM) with all tools pre-installed will be provided.
- Students will receive setup instructions for their local machine, but no support will be provided in class to get it working if it has problems.
- Students will need RDP or SSH to access the VM; even those planning to work locally need remote access if their local setup has problems.
