dslp
awesome-datascience
dslp | awesome-datascience | |
---|---|---|
4 | 9 | |
389 | 23,777 | |
2.6% | 3.7% | |
1.8 | 6.9 | |
about 3 years ago | 8 days ago | |
MIT License | 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.
dslp
-
Data Science Project Documentation
One great resource that I’ve found if you leverage GitHub is this DSLP process. Really succinctly ties everything to the code and it’s pretty quick to pick up in my experience. https://github.com/dslp/dslp
-
New DS here. Where can I learn best practices for organizing a project, folder structure, BASH scripting/scheduling, etc?
As an addendum to u/GryffinLoL I’d add this resource if you’re using any kind of VCS tooling. It has some solid suggestions.
- Does anyone know of comprehensive refresher material for a once Senior Data Scientist?
- What is the best structured ds project you have seen?
awesome-datascience
-
About Data analyst, data scientist and data engineer, resources and experiences
Awesome Data Science by Academic
-
Good coding groups for black women?
- https://github.com/academic/awesome-datascience
-
Mastering Data Science: Top 10 GitHub Repos You Need to Know
9. Awesome Data Science If you’re on the hunt for data science resources, Awesome Data Science is a goldmine. This curated list includes MOOCs, books, courses, blogs, podcasts, software, and more, all related to data science.
- Does anyone know of comprehensive refresher material for a once Senior Data Scientist?
-
Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
Awesome Data Science – The awesome lists repositories often provides a good collection of resources around a specific topic, and the awesome-datascience repository is no exception. It contains a very comprehensive list of books, moocs, tutorials, and other content for all learnes of all levels of experience.
-
High income skills?
There are several on github, such as: https://github.com/academic/awesome-datascience
- ⚙️ Awesome Data Science: An #OpenSource #DataScience repository to learn and apply towards solving real world problems. h/t @Sauain
-
Top GitHub repositories to learn Data Science
Awesome Data Science
-
[IWantOut] 21f Peru student -> Canada/UK
If you want to expand your skills and knowledge in data science, there's a ton of free online resources out there. For example, this page is a good place to get started. There's lots of communities like /r/learndatascience or similar subs if you get stuck on something.
What are some alternatives?
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
projects - Sample projects using Ploomber.
gdelt
govcookiecutter - A cookiecutter template for data science projects within His Majesty's Government and wider public sector.
vagas-junior-estagio - Empresas que constantemente oferecem vagas para junior e estagiários sem exigir experiência prévia
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
DataScienceResources - Open Source Data Science Resources.
missing-semester - The Missing Semester of Your CS Education 📚
data-science-blogs - A curated list of data science blogs
ScribeSalad - A collection of YouTube videos transcripts : Podcasts (Joe Rogan Experience, Tim Ferris, Jocko podcast, ..), lectures (YaleCourses, MIT lectures, Jordan B. Peterson talks, ..). A big transcripts salad spanning history, geography, science, politics, film making and more.
selfhosted_templates - Portainer templates for selfhosted services