First-timers-guide

A collection of guides for and by first-timers

Contents

• What
• How
• Contributing
• Collaboration
• FAQs
• Topics
• License

What?

First-timers guide is a guide to encourage more people to venture into open-source. The word guide can be a little misunderstood here; it means articles written in MarkDown format about various topics in Computer Science ranging from time complexity to Word2Vec. Anyone, literally anyone can contribute to the repository

How?

It's quite simple. Just write an article in MarkDown format about a topic you know; the article should be between 100-150 words and easy to read for a newbie. And then pull a request to start. :tada:

Contributing

1) Fork the project 2) Add your article 3) Follow the rules given here 4) Mission Accomplished! :tada:

To see how a perfect pull request is made, see this pull request.

Collaboration

First-timers-guide will be thrilled to participate or collaborate with any society or group that promotes open-source anywhere in the world. And we would be really happy to help you guys- anything for open-source!

• We collaborated with Cluster Innovation Centre for its Month of Code program in February 2018

For collaborating drop us a mail at dhruvgirishapte[at]gmail[dot]com or make an issue in this repository.

FAQs

Q: Can I submit a code file in any language?

A: No. If it is absolutely essential you may talk about it to the owner and he will decide.

Q: I don't know a language. Can I contribute?

A: Absolutely. You don't require knowledge of any particular language. However, you must know about the article you are contributing.

Topics

You may want to take a look at other articles too:

• Agile
  • Code Smell
  • Dont Repeat Yourself
  • MoSCoW
  • Software Development Life Cycle
• Cloud development
  • Azure
  • Firebase
  • Heroku
  • REST API
• Computation
  • Amdahl's law
• Databases
  • Database Keys
  • MongoDB
  • mySQL
  • SQLAlchemy intro
• Data Science
  • Hidden Markov Model
  • Data Visualization
    • D3
    • DataHero
    • plotly
    • Tableau
  • Deep Learning
    • ANN
    • Autoencoder
    • CNN
    • LSTM
    • RNN
    • TensorFlow
  • Machine Learning
    • Regression
    • Classification Algorithms
      • Decision Tree Classifier
      • Logistic Regression
      • Naive Bayes Classifier
      • Neural Network
      • Random Forest
      • SVM
  • Miscellaneous
    • Hadoop
    • Spark
  • Natural Language Processing
    • Machine Translation
    • Morphology
    • Regular Expression
    • Semantic parsing
    • Sentiment analysis
    • Stemming lemmatization
    • Synctatic parsing
    • Text classification
    • Text summarization
• DevOps
  • Ansible
  • Docker intro
  • Grunt
  • Kubernetes
  • Laravel
  • Package Manager
  • Vagrant
• Game Development
  • Blender
  • Godot
  • Unity
  • Unreal
• Issue Tracking
  • Bugzilla
  • Jira
• Logic
  • Monty Hall Problem
  • The Dining Philosophers Problem
  • The Hardest Logic Puzzle Ever
  • Turing Test
• Networking
  • Blockchain
  • IP Addresses
• Open Source Software
  • Open Source Software
• Programming Paradigm
  • Functional Programming
  • parallelcomputing
  • Object Oriented Programming
    • Prototypal Inheritance
• Python
  • Django
• Security
  • Honeypot
  • RSA
  • Steganography
  • Wireshark
• Starters
  • Vanilla js
• UI design
  • Vue js
• UX design
  • An Introduction To AntiPatterns
  • Fitts' Law
  • Hick's Law
• Version Control
  • Git
  • GitHub
  • GitHubSSH
  • Mercurial
  • SVN
• Visual design
  • Architectural Pattern
    • MVC
  • Color Theory
    • Color Theory
  • Design Language
    • Material Design
  • Wireframing
    • Justinmind
    • Wireframing
• Web Containers
  • Apache Tomcat
  • Progressive Web Apps
• Web Development
  • Node js
  • React js
  • WebAssembly
• Web Frameworks
  • Angular
  • CakePHP
  • Drupal
  • Flask
  • Gitlab, Flask, Heroku
  • Grails
  • Next js
  • Phalcon
  • Phoenix
  • Pyramid
  • Semantic Web

License

The MIT License 2017 - Dhruv Apte.