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"A journey of a thousand miles begins with a single step." -Chinese Proverb

submission guidelines

UPDATED AUGUST 2, 2019

This tag is dedicated to beginners to programming, development, networking, or to a particular language. Everything should be geared towards that!

For Questions...

Consider using this tag along with #help, if...

You are new to a language, or to programming in general,
You want an explanation with NO prerequisite knowledge required.
You want insight from more experienced developers.

Please do not use this tag if you are merely new to a tool, library, or framework.

See also, #explainlikeimfive

For Articles...

Posts should be specifically geared towards true beginners (experience level 0-2 out of 10).
Posts should require NO prerequisite knowledge, except perhaps general (language-agnostic) essentials of programming.
Posts should NOT merely be for beginners to a tool, library, or framework.

If your article does not meet these qualifications, please select a different tag.

Promotional Rules

Posts should NOT primarily promote an external work. This is what Listings is for.
Otherwise accepable posts MAY include a brief (1-2 sentence) plug for another resource at the bottom.
Resource lists ARE acceptable if they follow these rules:
- Include at least 3 distinct authors/creators.
- Clearly indicate which resources are FREE, which require PII, and which cost money.
- Do not use personal affiliate links to monetize.
- Indicate at the top that the article contains promotional links.

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Sachin Kr. Rajput

Jan 21

Type I vs Type II Errors: The Fire Alarm That Cried Wolf vs The Fire Alarm That Slept Through Arson

#machinelearning #datascience #python #beginners

11 min read

Daniil Kornilov

Feb 24

The Complete No-Code Automation Playbook for Freelancers

#automation #productivity #tutorial #beginners

10 min read

Sachin Kr. Rajput

Jan 21

MAE vs MSE vs RMSE: Three Bosses With Very Different Philosophies on Punishing Late Employees

#machinelearning #datascience #python #beginners

10 min read

Sachin Kr. Rajput

Jan 21

R-Squared Explained: The Dart Player Who's Somehow WORSE Than Just Aiming at the Center

#machinelearning #datascience #python #beginners

11 min read

Jyoti Prajapati

Jan 21

How to Review Code Without Being a Jerk

#beginners #career #productivity #codereview

4 min read

Sachin Kr. Rajput

Jan 21

How Linear Regression Works: The Lazy Architect Who Drew One Line and Called It a Floor Plan

#machinelearning #datascience #python #beginners

11 min read

Mark

Feb 22

Promotions Don't Go to the Best Coders (Here's Why)

#career #webdev #beginners #programming

5 min read

Feb 24

Java’s Fork/Join Framework: How It Works Under the Hood

#algorithms #beginners #java #performance

4 min read

Sachin Kr. Rajput

Jan 21

Train/Validation/Test Split: Why Your Model Needs Practice, Dress Rehearsals, AND Opening Night

#machinelearning #datascience #python #beginners

10 min read

Suraj Vishwakarma for Texavor

Feb 24

What is AI Visibility? Key Metrics Explained

#ai #writing #beginners #tutorial

6 min read

Sachin Kr. Rajput

Jan 21

Feature Engineering: The Dark Art of Teaching Your Model to See What You See

#datascience #python #beginners #programming

12 min read

Feb 13

I Built an RPG That Teaches English Grammar — Here's What I Learned

#gamedev #beginners #ios

2 min read

Sachin Kr. Rajput

Jan 21

Handling Missing Data: The Detective's Guide to Solving the Case of the Vanishing Values

#datascience #python #beginners #programming

12 min read

Feb 24

Contributing to OCaml-Tiff So Far - Writing TIFF Files

#opensource #beginners #ocaml

6 min read

Wangare

Jan 25

Ridge Regression vs Lasso Regression: A Practical Guide for House Price Prediction

#beginners #datascience #machinelearning #tutorial

3 min read

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