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A comprehensive collection of C programming projects aimed at mastering the fundamentals of low-level programming and preparing for Linux kernel development.

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C Learning Projects

Author: Joshua Alana

Welcome to my C Learning Projects repository! This collection of projects and exercises is part of my extended journey to master C programming and system-level concepts, ultimately preparing me for Linux kernel development. Over the next 6-8 months, I will be working on various projects covering a wide range of topics in C, including memory management, system calls, process control, data structures, and kernel modules.

During this period, I will also be actively seeking internship opportunities in big tech companies to gain practical experience and apply my growing skills in real-world scenarios.


Project Breakdown

1. Data Structures

  • Implementations of core data structures such as:
    • Linked Lists
    • Binary Trees
    • Hash Tables
    • Heaps
  • These implementations focus on efficient memory use and pointer management in C.

2. System Programming

  • Projects that explore:
    • Process management using fork, exec, wait
    • Inter-process communication (IPC) via pipes and message queues
    • A simple command-line shell that supports I/O redirection and process piping.

3. Memory Management

  • Custom implementations of memory management functions:
    • malloc and free
    • Paging and virtual memory simulations
  • Projects that simulate memory allocation for dynamic data structures and applications.

4. Kernel Projects

  • Exploring the Linux kernel:
    • Writing and loading kernel modules (e.g., "Hello World" module)
    • Custom system calls
    • Kernel-level memory management and process control.

Internship Opportunities

As part of my journey to becoming a Linux Kernel Engineer, I will be searching for internship opportunities at the following big tech companies and notable firms:

Big Tech Companies:

  1. Amazon (AWS) – Focuses on cloud infrastructure, Linux-based systems, and custom kernel optimizations.
  2. Google – Known for its contributions to Linux and open-source projects, as well as its use of Linux-based systems in Google Cloud.
  3. Microsoft (Azure) – Works on cloud infrastructure (Azure) and has a growing focus on Linux systems.
  4. Apple – Heavily involved in kernel development for its own operating systems (macOS, iOS).
  5. Facebook (Meta) – Runs Linux-based infrastructure and works on large-scale system optimizations.
  6. Tesla – Uses Linux-based systems in its cars and for its backend infrastructure.
  7. Nvidia – Involved in Linux kernel development, especially for GPU drivers and hardware-accelerated computing.
  8. Intel – Works on hardware and Linux drivers, firmware, and kernel development.
  9. IBM (Red Hat) – A key player in Linux development and open-source contributions (Red Hat Enterprise Linux).
  10. Oracle – Focuses on cloud computing, database solutions, and Linux kernel optimizations (Oracle Linux).

Other Notable Companies:

  1. Canonical (Ubuntu) – Major contributors to the Linux kernel and maintainers of Ubuntu, a popular Linux distribution.
  2. SUSE – A leader in enterprise Linux solutions, contributing heavily to the Linux kernel.
  3. Netflix – Uses Linux-based infrastructure for its streaming platform and often works on kernel optimizations.
  4. VMware – Focuses on virtualization technologies and works closely with Linux kernels.
  5. Qualcomm – Involved in embedded Linux development, particularly for mobile devices and IoT.
  6. ARM – Works on Linux kernel development for ARM-based processors.
  7. AMD – Involved in Linux kernel development, particularly for GPU drivers and hardware integration.
  8. Cisco – Works on networking systems with a strong focus on Linux for routers and switches.
  9. Dropbox – Runs large-scale Linux-based systems for storage and file synchronization services.
  10. Samsung – Uses Linux for its mobile and embedded systems, contributing to kernel and hardware development.

Learning Objectives

  • Build a strong foundation in C programming and low-level system concepts.
  • Gain proficiency in writing efficient, memory-safe C code.
  • Understand process control, system calls, and inter-process communication (IPC).
  • Prepare for Linux kernel development by building and exploring kernel modules.
  • Search for internships at big tech companies to gain hands-on industry experience.
  • Progress toward my long-term goal of becoming a Linux Kernel Engineer.

Repository Structure

C_Learning_Projects/
│
├── Data_Structures/
│   ├── linked_list.c
│   ├── binary_tree.c
│   └── hash_table.c
│
├── System_Programming/
│   ├── simple_shell.c
│   ├── process_management.c
│   └── scheduling_simulation.c
│
├── Memory_Management/
│   ├── custom_malloc.c
│   └── memory_allocator.c
│
└── Kernel_Projects/
    ├── hello_world_module.c
    └── custom_syscall.c

How to Run

  1. Clone the repository:
    git clone https://github.com/Joshua-Coded/C_Learning_Projects
    
  2. Navigate to the project folder:
    cd C_Learning_Projects/Data_Structures
    
  3. Compile and run:
    gcc linked_list.c -o linked_list
    ./linked_list
    

Contributions

While this repository is focused on my personal learning journey, contributions, suggestions, and feedback are always welcome! Feel free to submit a pull request or open an issue if you have ideas or improvements.


Author: Joshua Alana

Feel free to explore the projects, and if you find them helpful or interesting, give them a ⭐!


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A comprehensive collection of C programming projects aimed at mastering the fundamentals of low-level programming and preparing for Linux kernel development.

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