joelgrus / fizzbuzzLinks
code for the book "Ten Essays on Fizz Buzz"
☆44Updated 5 years ago
Alternatives and similar repositories for fizzbuzz
Users that are interested in fizzbuzz are comparing it to the libraries listed below
Sorting:
- Comparing Polars to Pandas and a small introduction☆44Updated 4 years ago
- ☆92Updated 4 years ago
- ☆133Updated last year
- Strategies to deploy deep learning models☆27Updated 7 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- ☆144Updated 4 years ago
- Learn how to build a data analysis library from scratch☆207Updated 3 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆104Updated 3 years ago
- 📈🔍 Lets Python do AB testing analysis.☆78Updated 5 months ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- Applied Machine Learning with Python☆80Updated last year
- 🎯 kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learning☆32Updated 2 years ago
- Accompanies the uncool MLOps workshop☆26Updated 3 years ago
- Data Analysis Baseline Library☆133Updated 11 months ago
- Notes from my presentation on Python packaging at PyGotham 2021☆21Updated 3 years ago
- Explorations of survival analysis in Python☆49Updated 2 years ago
- Data Structures and Information Retrieval in Python☆133Updated last year
- My solution to the Jester Practice Problem on analyticsvidhya.com -- https://datahack.analyticsvidhya.com/contest/jester-practice-problem…☆22Updated 6 years ago
- Deploy a scikit model using heroku and Flask☆15Updated 2 years ago
- Neural networks in pandas☆51Updated 3 years ago
- Automated Jupyter notebook testing. 📙☆41Updated last year
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 5 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- PyData Global Tutorial on Data Patterns and OOP abstractions for Deep Learning using PyTorch☆17Updated 2 years ago
- advent of code 2021☆13Updated 3 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 3 years ago
- ☆50Updated 4 years ago
- The simplest way to deploy a machine learning model☆23Updated 2 years ago