Charlie Haley's repositories
bracketeer
Generate predicted bracket from a kaggle march madness submission
binarytree
Python Library for Learning Binary Trees
conda-smithy
The tool for managing conda-forge feedstocks.
configurable-http-proxy-feedstock
A conda-smithy repository for configurable-http-proxy.
crawl-cl
Aggregate relevant craigslist search results into a pandas DataFrame
django-anymail-feedstock
A conda-smithy repository for django-anymail.
djangorestframework_simplejwt-feedstock
A conda-smithy repository for djangorestframework_simplejwt.
evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
fastparquet
python implementation of the parquet columnar file format.
jake
Check your Python environments for vulnerable Open Source packages with OSS Index or Sonatype Nexus Lifecycle.
jupyterlab
JupyterLab computational environment.
kaggle
code used for kaggle competitions
kedro-plugins
First-party plugins maintained by the Kedro team.
kedro-serving
A kedro-plugin to serve Kedro Pipelines as API
kedro-viz
Visualise your Kedro data and machine-learning pipelines and track your experiments.
line_profiler
Line-by-line profiling for Python
oletools-feedstock
A conda-smithy repository for oletools.
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandas-profiling-feedstock
A conda-smithy repository for pandas-profiling.
programming-jokes
A community-sourced list of software engineering and programming jokes
Project-Euler
Python Solutions for Project Euler Problems
rango
tango with django book repo
sentry-sdk-feedstock
A conda-smithy repository for sentry-sdk.
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
TrumpScript
Make Python great again
turbodbc
Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.