![]() Notebooker - Productionize and schedule Jupyter Notebooks. Handcalcs - More convenient way of writing mathematical equations in Jupyter. Pandasgui - GUI for viewing, plotting and analyzing Pandas DataFrames.ĭtale - View and analyze Pandas data structures, integrating with Jupyter. Lux - DataFrame visualization within Jupyter. RISE - Turn Jupyter notebooks into presentations. Nbdime - Diff two notebook files, Alternative GitHub App: ReviewNB. ![]() Papermill - Parameterize and execute Jupyter notebooks, tutorial. ![]() Nteract - Open Jupyter Notebooks with doubleclick. Ipyflow - IPython kernel for Jupyter with additional features. Swifter - Apply any function to a pandas DataFrame faster. Pandarallel - Parallelize pandas operations. Modin - Parallelization library for faster pandas DataFrame. dt.ĭuckdb - Efficiently run SQL queries on pandas DataFrame. Pandas_flavor - Write custom accessors like. Xarray - Extends pandas to n-dimensional arrays. Polars - Multi-threaded alternative to pandas. Pandasvault - Large collection of pandas tricks. Pandas Tricks, Alternatives and Additions Pyscaffold - Python project template generator. Sklearn_pandas - Helpful DataFrameMapper class. Ydata-profiling - Descriptive statistics using ProfileReport. Seaborn - Data visualization library based on matplotlib. Pandas - Data structures built on top of numpy. ![]() 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. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |