Welcome to the Open Sourced Personal Resources (OSPR) repository! This repository is dedicated to curating a collection of personally reviewed books, courses, and materials that can be freely accessed and utilized by anyone. Whether you 're looking for educational resources, self-improvement materials, or just something interesting to read, OSPR aims to provide a diverse range of high-quality recommendations.
The Open Sourced Personal Resources (OSPR) repository serves as a central hub for sharing valuable resources that have been personally reviewed and recommended by contributors. The purpose of this repository is to promote knowledge sharing and support lifelong learning. It covers the topic of computer science.
Each resource in OSPR includes a brief description, review, and relevant links to access the material. The aim is to make it easier for individuals to find reliable and valuable resources in their areas of interest.
Please note that OSPR does not host the actual content. Instead, it provides links to external sources where the resources are available, such as websites, online course platforms, or digital libraries.
Please check out the CONTRIBUTE.md
- π΄For advanced readers
- π‘For intermediate readers
- π΅For beginners
- Commit your changes and push them to your forked repository.
- Open a pull request to submit your contributions for review.
Please ensure that your recommendations are well-researched, reliable, and freely accessible.
Thank you for your interest in the Open Sourced Personal Resources (OSPR) repository! Explore the resources, contribute your own recommendations.Happy learning!
- Flutter for beginners - Alessandro Biessek
- CLRS book - Intro to Algorithms π΅π‘π΄
- Linux basics for Hackers - OccupyTheWeb π΅π‘
- RegexLearnπ΅π‘
- @missing-semesterπ΅π‘
- DevOps with Docker π΅π‘π΄
- Docker-curriculum π΅
- TYCS book repository π‘π΄
- A First Course on Data Structures in Python - Donsheehy π΅π‘
- Dive into systems π΅π‘π΄
- @ossu π΅π‘π΄
- Composing programs - John DeNero π‘
- Pro Git - Apress π΅π‘π΄
- How to contribute - Open Source π΅π‘π΄
- Shell Scripting - Steve Parker π΅
- Computer Networking: Top-Down approach - Jim Kurose π΅π‘π΄
- Mastering Git - Jakub NarΔbski , Jakub S Narebski π‘π΄
- Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems - Geron Aurelienπ‘π΄
- The Hundred-page Machine Learning Book - Book by Andriy Burkov π΅π‘π΄
- Stanford CS229 Lecture Notes - Andrew Ng π΅π‘π΄
- React documentation for beginnersπ΅π‘π΄
- React tutorials for beginnersπ΅π‘π΄
- Pandas for beginners and Intermediatesπ΅π‘
- Explaination of Backend(Networking)π΅π‘
- Express jsπ΅π‘π΄
- Deep Learning - A practitioner's approach - Oreilly π΅π‘π΄
- BSCS3004 Deep Learning Resourcesπ΅π‘π΄