The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Repository Index
47,133 repositories indexed
1–24 of 78 · Most stars
Python Data Science Handbook: full text in Jupyter Notebooks
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
10 Weeks, 20 Lessons, Data Science for All!
:zap: A Fast, Extensible Progress Bar for Python and CLI
- progressbar
- progressmeter
- progress-bar
- meter
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.
Download market data from Yahoo! Finance's API
- python
- pandas
- yahoo-finance-api
- yahoo-finance
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
TranslatedAbu Quantitative Trading System (stocks, options, futures, Bitcoin, machine learning) An open-source quantitative trading and quantitative investment architecture based on Python
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
- data-analysis
- pandas
- tableau
- tableau-alternative
TuShare is a utility for crawling historical data of China stocks
Statistical data visualization in Python
Parallel computing with task scheduling
- dask
- python
- pydata
- numpy
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
- pandas-profiling
- pandas-dataframe
- statistics
- jupyter-notebook
TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields
- machine-learning
- deep-learning
- data-analysis
- data-mining
Practice your pandas skills!
- pandas
- jupyter-notebooks
- pandas-tutorial
- python-pandas
Open Machine Learning Course
Modin: Scale your Pandas workflows by changing a single line of code
- dataframe
- pandas
- distributed
- datascience
cuDF - GPU DataFrame Library
- gpu
- rapids
- cudf
- arrow
A terminal spreadsheet multitool for discovering and arranging data
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
the portable Python dataframe library
Instant Kubernetes-Native Application Observability
- golang
- kubernetes
- ebpf
- vega