Sidetablesidetable builds simple but useful summary tables of your data
PydbgenRandom dataframe and database table generator
PyRepository to store sample python programs for python learning
PyreadstatPython package to read sas, spss and stata files into pandas data frames. It is a wrapper for the C library readstat.
PyreadrPython package to read and write R RData and Rds files into/from pandas dataframes. No R or other external dependencies required.
SwifterA package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Rightmove webscraper.pyPython class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object
Df2gspreadManage Google Spreadsheets in Pandas DataFrame with Python
SweetvizVisualize and compare datasets, target values and associations, with one line of code.
MarketstoreDataFrame Server for Financial Timeseries Data
DframcyDataframe Integration with spaCy.
BevelOrdinal regression in Python
SparkmagicJupyter magics and kernels for working with remote Spark clusters
S3bpRead and write Python objects to S3, caching them on your hard drive to avoid unnecessary IO.
QuickvizVisualize a pandas dataframe in a few clicks
PdpipeEasy pipelines for pandas DataFrames.
PanderaA light-weight, flexible, and expressive pandas data validation library
Dataframe GoDataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
Pytablewriterpytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.
PrettypandasA Pandas Styler class for making beautiful tables
BiopandasWorking with molecular structures in pandas DataFrames
EvidentlyInteractive reports to analyze machine learning models during validation or production monitoring.
PythonThis repository helps you understand python from the scratch.
Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
pixiedust-facebook-analysisA Jupyter notebook that uses the Watson Visual Recognition and Natural Language Understanding services to enrich Facebook Analytics and uses Cognos Dashboard Embedded to explore and visualize the results in Watson Studio
skippaSciKIt-learn Pipeline in PAndas
Algorithmic-TradingI have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
deepchecksTest Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
SimpleSQLiteSimpleSQLite is a Python library to simplify SQLite database operations: table creation, data insertion and get data as other data formats. Simple ORM functionality for SQLite.
objectiv-analyticsPowerful product analytics for data teams, with full control over data & models.
fhubPython client for Finnhub API