ppde642 VS python-training

Compare ppde642 vs python-training and see what are their differences.

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ppde642 python-training
14 3
1,257 3,734
- 8.8%
7.8 2.9
18 days ago 3 months ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

ppde642

Posts with mentions or reviews of ppde642. We have used some of these posts to build our list of alternatives and similar projects.

python-training

Posts with mentions or reviews of python-training. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing ppde642 and python-training you can also consider the following projects:

osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.

FinanceOps - Research in investment finance with Python Notebooks

langchain-course - Learn to build and deploy AI apps.

alphalens - Performance analysis of predictive (alpha) stock factors

kaggle-courses - Courses on Kaggle

MacroTrends-Scraping - Web scraping and managing data from MacroTrends

human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)

intro-to-python - [READ-ONLY MIRROR] An intro to Python & programming for wanna-be data scientists

LlamaIndex-course - Learn to build and deploy AI apps.

FinMind - Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主),每天更新 https://finmind.github.io/

bulgarian-city-coat-of-arms - Векторни файлове на емблеми и гербове на български градове

data-science-portfolio - Data Science Portfolio website created with Jupyter notebooks and Mercury