Pinned Repositories
adam
Time Series Analysis and Forecasting with ADAM
altair
Declarative statistical visualization library for Python
altair_saver
Altair extension for saving charts in a variety of formats.
amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
ArcGIS_geocoding
R code to access the ArcGIS geocoding API
dstoolbox
A collection of utility functions for data science applications.
great_expectations
Always know what to expect from your data.
notebooks-in-order
Check Jupyter notebooks were executed in order
stochatreat
This is a Python module to employ block randomization using pandas. Mainly thought with RCTs in mind, it also works for any other scenario in where you would like to randomly allocate treatment within blocks or strata.
sync-conda-env
sync conda environment pre-commit hook
RoyalTS's Repositories
RoyalTS/sync-conda-env
sync conda environment pre-commit hook
RoyalTS/dstoolbox
A collection of utility functions for data science applications.
RoyalTS/notebooks-in-order
Check Jupyter notebooks were executed in order
RoyalTS/adam
Time Series Analysis and Forecasting with ADAM
RoyalTS/altair
Declarative statistical visualization library for Python
RoyalTS/altair_saver
Altair extension for saving charts in a variety of formats.
RoyalTS/amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
RoyalTS/ArcGIS_geocoding
R code to access the ArcGIS geocoding API
RoyalTS/great_expectations
Always know what to expect from your data.
RoyalTS/stochatreat
This is a Python module to employ block randomization using pandas. Mainly thought with RCTs in mind, it also works for any other scenario in where you would like to randomly allocate treatment within blocks or strata.
RoyalTS/category_encoders
A library of sklearn compatible categorical variable encoders
RoyalTS/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
RoyalTS/DALEX
moDel Agnostic Language for Exploration and eXplanation
RoyalTS/docs.getdbt.com
The code behind docs.getdbt.com
RoyalTS/estimatr
estimatr: Fast Estimators for Design-Based Inference
RoyalTS/ggbrace
curly braces in ggplot2.
RoyalTS/gslab_python
Python tools for GSLab
RoyalTS/memo
Decorators that help you remember.
RoyalTS/PandasSchema
A validation library for Pandas data frames using user-friendly schemas
RoyalTS/pre-commit-dbt
:fishing_pole_and_fish: List of `pre-commit` hooks to ensure the quality of your `dbt` projects.
RoyalTS/prefect
The Prefect Core workflow engine
RoyalTS/pytest
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
RoyalTS/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
RoyalTS/RGoogleFit
R interface to Google Fit REST API v1
RoyalTS/saspy
A Python interface module to the SAS System. It works with Linux, Windows, and mainframe SAS. It supports the sas_kernel project (a Jupyter Notebook kernel for SAS) or can be used on its own.
RoyalTS/scikit-lego
extra blocks for sklearn pipelines
RoyalTS/snowflake-sqlalchemy
Snowflake SQLAlchemy
RoyalTS/sqlfluff
A SQL linter and auto-formatter for Humans
RoyalTS/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
RoyalTS/tenacity
Retrying library for Python