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Curated list of Python resources for data science.
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메이커가 쓴 소개는 위의 한 줄이 전부입니다. 더 자세한 내용은 저장소 README에서 읽을 수 있습니다. 저장소 README ↗
README 전체를 불러오는 중입니다.
README 전문 보기 ↗A curated list of awesome resources for practicing data science using Python, including not only libraries, but also links to tutorials, code snippets, blog posts and talks.
pandas - Data structures built on top of numpy.
scikit-learn - Core ML library, intelex.
matplotlib - Plotting library.
seaborn - Data visualization library based on matplotlib.
ydata-profiling - Descriptive statistics using ProfileReport.
sklearn_pandas - Helpful DataFrameMapper class.
missingno - Missing data visualization.
rainbow-csv - VSCode plugin to display .csv files with nice colors.
Advanced Python Features - Generics, Protocols, Structural Pattern Matching and more.
uv - Dependency management.
pdm - For large binary distributions, works with uv.
just - Command runner. Replacement for make.
python-dotenv - Manage environment variables.
structlog - Python logging.
more_itertools - Extension of itertools.
tqdm - Progress bars for for-loops. Also supports pandas apply().
hydra - Configuration management.
ruff - Extremely fast Python linter and code formatter, replaces flake8, black, and isort.
duckdb - Efficiently run SQL queries on pandas DataFrame, duckplyr for R, Great Intro.
ducklake - Duckdb extention for storing data in a datalake.
fireducks - Speedier alternative to pandas with similar API.
pandasvault - Large collection of pandas tricks.
polars - Multi-threaded alternative to pandas.
xarray - Extends pandas to n-dimensional arrays.
mlx - An array framework for Apple silicon.
pandas_flavor - Write custom accessors like .str and .dt.
daft - Distributed DataFrame.
vaex - Out-of-Core DataFrames.
modin - Parallelization library for faster pandas DataFrame.
swifter - Apply any function to a pandas DataFrame faster (works with modin).
narwhals - Write dataframe-agnostic code compatible with pandas, polars, cuDF, and more.
great-tables - Display tabular data nicely.
pygwalker - Interactive dataframe.
marimo - Visualization and reproducible environment.
lux - DataFrame visualization within Jupyter.
dtale - View and analyze Pandas data structures, integrating with Jupyter.
pandasgui - GUI for viewing, plotting and analyzing Pandas DataFrames.
quak - Scalable, interactive data table, twitter.
data-formulator - Data visualization tool.
Jupyter Tricks
nteract - Open Jupyter Notebooks with doubleclick.
papermill - Parameterize and execute Jupyter notebooks, tutorial.
nbdime - Diff two notebook files, Alternative GitHub App: ReviewNB.
RISE - Turn Jupyter notebooks into presentations.
handcalcs - More convenient way of writing mathematical equations in Jupyter.
notebooker - Productionize and schedule Jupyter Notebooks.
voila - Turn Jupyter notebooks into standalone web applications. Voila grid layout.
positron - Data Science IDE.
Deepnote - Data Science platform with real-time collaboration, environment management.
textract - Extract text from any document.
docling - Text extraction.
DeepSeek-OCR - OCR.
chandra - OCR.
여기까지가 README 앞부분입니다. 나머지는 원문에서 읽을 수 있습니다. README 전문 보기 ↗