30 Days Of JavaScript
github.com/Asabeneh/30-Days-Of-JavaScriptThe 30 Days of JavaScript challenge provides step-by-step programming lessons that learners can follow at their own pace.
Looking for something like 30 Days Of Python? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 3 are free or have a free plan and 4 are open source.
The 30 Days of Python challenge provides step-by-step lessons for learning Python at an individually paced schedule.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | 30 Days Of JavaScript | — | Not stated | — |
| 2 | Hitchhiker's Guide to Python | — | Not stated | Linux, macOS, Web |
| 3 | Python Cheatsheet | — | Not stated | Web |
| 4 | Data School | — | Not stated | Web |
| 5 | Web Dev / Programming YouTube Channels | — | Not stated | Web |
| 6 | ML/AI Interview Prep | — | Not stated | — |
| 7 | Introduction to machine learning with scikit-learn | — | Not stated | — |
| 8 | Data Science Ipython Notebooks | — | Not stated | — |
| 9 | Virgilio | — | Not stated | Web |
| 10 | Python Patterns | — | Not stated | Web |
The 30 Days of JavaScript challenge provides step-by-step programming lessons that learners can follow at their own pace.
The Hitchhiker's Guide to Python is an opinionated guide to the Python programming language.
Review Python syntax, standard idioms, and common programming patterns in this reference.
Data School publishes lessons and articles for people building data science careers, including coverage of machine learning topics.
Learn about coding and website creation from this curated list of YouTube channels.
A collection of machine learning and AI interview questions with code and cheat sheets for common data science libraries.
This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
Virgilio organizes data science e-learning resources in a structured project overview.
Python Patterns explains common software design patterns through examples in Python.
Programiz offers free online compilers and code editors alongside programming tutorials for languages including Python, JavaScript, SQL, and C++.
ZetCode offers accessible programming tutorials covering C#, Go, Python, Java, and other languages.
TechSchool provides free technology education and programming courses, including Elixir, Python, Ruby, React, and Node.
RegexLearn teaches regular expressions through interactive lessons and practice at different levels.
An open-source initiative, Virgilio guides learners through data science resources and skill development.
This repository provides solutions to LeetCode problems for readers to review and use in coding practice.
IIT Madras offers an online-enabled degree and diploma program in data science and programming.
Illinois Institute of Technology offers a Master of Applied Science degree in data science.
Coding Problems provides solutions to coding and algorithm problems and multiple programming exercises.
The system design primer explains large-scale system design and includes interview preparation material and Anki flashcards.
Microsoft’s Data Science for Beginners is a ten-week curriculum with 20 lessons for learning data science.
Exercism offers practice and mentoring across 83 programming languages.
LearnPython.org offers interactive Python tutorials and points learners to introductory lessons.
FutureCoder teaches Python programming from the beginning through interactive lessons.
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