https://github.com/spirizeon/ospr

Open Sourced Personal Resources (OSPR) is a repository containing mentions of personally reviewed books, courses and materials for anybody to read through and utilise.
https://github.com/spirizeon/ospr

books hacktoberfest hacktoberfest-accepted resources

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Open Sourced Personal Resources (OSPR) is a repository containing mentions of personally reviewed books, courses and materials for anybody to read through and utilise.

• Host: GitHub
• URL: https://github.com/spirizeon/ospr
• Owner: Spirizeon
• License: mit
• Created: 2023-04-19T21:24:18.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-07T11:52:08.000Z (11 months ago)
• Last Synced: 2023-12-07T12:43:58.320Z (11 months ago)
• Topics: books, hacktoberfest, hacktoberfest-accepted, resources
• Homepage:
• Size: 31.6 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# Open Sourced Personal Resources (OSPR)

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.

## Table of Contents

- [About OSPR](#about-ospr)

- [How to Contribute](#how-to-contribute)

- [Resource list](#resource-list)

## About OSPR

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.

## How-to-Contribute

Please check out the [CONTRIBUTE.md](https://github.com/Spirizeon/OSPR/blob/main/CONTRIBUTE.md)

### Tags

- 🔴For advanced readers

- 🟡For intermediate readers

- 🔵For beginners

5. Commit your changes and push them to your forked repository.

6. 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!

 

## Resource list

+ [Flutter for beginners - Alessandro Biessek](https://www.packtpub.com/product/flutter-for-beginners/9781788996082)

+ CLRS book - Intro to Algorithms 🔵🟡🔴

+ Linux basics for Hackers - OccupyTheWeb 🔵🟡

+ [RegexLearn](https://regexlearn.com/)🔵🟡

+ [@missing-semester](https://github.com/missing-semester)🔵🟡

+ [DevOps with Docker](https://devopswithdocker.com) 🔵🟡🔴

+ [Docker-curriculum](https://docker-curriculum.com/) 🔵

+ [TYCS book repository](https://teachyourselfcs.com/) 🟡🔴

+ [A First Course on Data Structures in Python - Donsheehy](https://donsheehy.github.io/datastructures/) 🔵🟡

+ [Dive into systems](https://diveintosystems.org/book/) 🔵🟡🔴

+ [@ossu](https://github.com/ossu) 🔵🟡🔴

+ [Composing programs - John DeNero](https://www.composingprograms.com/) 🟡

+ [Pro Git - Apress](https://git-scm.com/book/en/v2) 🔵🟡🔴

+ [How to contribute - Open Source](https://opensource.guide/how-to-contribute/) 🔵🟡🔴

+ [Shell Scripting - Steve Parker](https://www.shellscript.sh/) 🔵

+ [Computer Networking: Top-Down approach - Jim Kurose](https://beta.computer-networking.info/syllabus/default/index.html) 🔵🟡🔴

+ [Mastering Git - Jakub Narębski , Jakub S Narebski](https://www.packtpub.com/product/mastering-git/9781783553754) 🟡🔴

+ Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems - Geron Aurelien🟡🔴

+ The Hundred-page Machine Learning Book - Book by Andriy Burkov 🔵🟡🔴

+ [Stanford CS229 Lecture Notes - Andrew Ng](https://cs229.stanford.edu/main_notes.pdf) 🔵🟡🔴

+ [React documentation for beginners](https://react.dev/learn)🔵🟡🔴

+ [React tutorials for beginners](https://scrimba.com/learn/learnreact)🔵🟡🔴

+ [Pandas for beginners and Intermediates](https://youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy&si=n3y3GaR1q3NauF9h)🔵🟡

+ [Explaination of Backend(Networking)](https://youtu.be/vtYdBaXjysU?si=IJBaAF6ArX5XN3Wv)🔵🟡

# Youtube Tutorials

+ [Express js](https://youtu.be/pKJ4GGyDgJo?si=HXBmpJeFA9MTNhdV)🔵🟡🔴

+ Deep Learning - A practitioner's approach - Oreilly 🔵🟡🔴

+ [BSCS3004 Deep Learning Resources](https://github.com/DotSlash-A/BSCS3004-Deep-Learning-resources)🔵🟡🔴

## Youtube tutorials

- [HTTP Requests in python](https://www.youtube.com/watch?v=tb8gHvYlCFs)

- [Python Flask playlist](https://www.youtube.com/watch?v=MwZwr5Tvyxo&list=PL-osiE80TeTs4UjLw5MM6OjgkjFeUxCYH)

- [APIs for beginners](https://www.youtube.com/watch?v=WXsD0ZgxjRw)

- [Postman Beginner's course](https://www.youtube.com/watch?v=VywxIQ2ZXw4)

- [Java begiiner tutorials 2023](https://www.youtube.com/watch?v=bm0OyhwFDuY&list=PLsyeobzWxl7pe_IiTfNyr55kwJPWbgxB5)

- [Best Flask tutorial online](https://www.youtube.com/watch?v=0Qxtt4veJIc&list=PLCC34OHNcOtolz2Vd9ZSeSXWc8Bq23yEz)

- [FastAPI tutorial](https://youtu.be/-ykeT6kk4bk?si=LYCjfsNz3J6ytKMq)