data-science
clean-code-javascript
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| data-science | clean-code-javascript | |
|---|---|---|
| 51 | 61 | |
| 18,140 | 89,597 | |
| 1.7% | - | |
| 4.4 | 0.0 | |
| 24 days ago | 20 days ago | |
| JavaScript | ||
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
data-science
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How to escape generational poverty in this city
Look into MIT opencourseware — eg https://ocw.mit.edu/courses/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/. Or try a Google search "site:github.com data analysis full course"; this from OSSU seems good https://github.com/ossu/data-science. There are tons of free CS/data courses out there and there's no need to pay. You can go through the whole undergrad CS curriculum online free. Of all high paying industries, tech is by far the easiest to self-teach for free. You DM if you're not able to find something that works for you and we can discuss.
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Recommended pre requisite course before getting Google Data Analytics Professional Certificate
I would recommend you to check out the Data Scientist study plan made by OSSU (https://github.com/ossu/data-science), it is literally the Data Science career but with free resources, including Coursera courses.
- Correcting my IT Career Path and Growth
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Is Data Analyst hard and worth it?
Path to a free self-taught education in Data Science
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Thoughts on OSSU path to self-taught education in DATA SCIENCE
I'm a CS student from a third world country and I'm really interested in Data Science. Biggest issue is that my univeristy is bullshit. Zero serious work. I'm still taking classes only because of that degree that I can put one day on my CV. Exams are on middle school level and with just a tiny bit of knoweledge you can pass easily. I started learning some coding online from CS50 and I became really interested in Data Science/ML. I was looking for roadmaps and this one looks really good to me to go with. OSSU - DATA SCIENCE
- Does anyone know of some online learning services offer tech courses besides programming?
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Looking For Paid Tutor Python
Not a tutor but here’s a good resource to aid you in your journey, best of luck
- Data Analysts, anong dapat kong aralin?
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Best path to follow if you want to get into Natural Language Processing?
She can run through this to see if data is the right field for her, before sinking money into it: https://github.com/ossu/data-science
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Career Shifter
Just to add a resource na u might want to look into. Kumpleto na. https://github.com/ossu/data-science or https://github.com/ossu/computer-science
clean-code-javascript
- 10 GitHub Repos for Mastering JavaScript
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Why clean code makes JavaScript programming easier
Further examples of clean code
- Clean code (la juniori)
- If you're a junior to mid-level fullstack engineer and have an upcoming frontend technical interview, here's some things to freshen up on
- How to learn small but important coding conversations/practices?
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How to avoid writing rubbish code
https://github.com/ryanmcdermott/clean-code-javascript - highly recommendable short read
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What helped you to achieve a cleaner code?
More clean code concepts from this GitHub repo. Derived from Robert C. Martin's book Clean Code, adapted for .NET/.NET Core. There is also for JavaScript and PHP.
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🚀 8 GitHub Repositories to learn JavaScript
Clean Code JavaScript
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Awesome Github Repos to Master JAVASCRIPT
😎 We use this language, but if you are asking how to write in the most correct way, a great repo and Style Guide -> airbnb/javascript -> clean-code-javascript
- 10 GitHub repositories you must know as a JavaScript developer
What are some alternatives?
computer-science - :mortar_board: Path to a free self-taught education in Computer Science!
You-Dont-Know-JS - A book series on JavaScript. @YDKJS on twitter.
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
tech-interview-handbook - 💯 Curated coding interview preparation materials for busy software engineers
hacker-roadmap - A collection of hacking tools, resources and references to practice ethical hacking.
javascript-algorithms - 📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
bioinformatics - :microscope: Path to a free self-taught education in Bioinformatics!
Material UI - Ready-to-use foundational React components, free forever. It includes Material UI, which implements Google's Material Design.
cs-topics - My personal curriculum covering basic CS topics. This might be useful for self-taught developers... A work in development! This might take a very long time to get finished!
bulletproof-react - 🛡️ ⚛️ A simple, scalable, and powerful architecture for building production ready React applications.
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
nodebestpractices - :white_check_mark: The Node.js best practices list (February 2024)