jiffyclub / scipy-2018-software-eng-techniquesLinks
Software Engineering Techniques Tutorial at SciPy 2018
☆19Updated 7 years ago
Alternatives and similar repositories for scipy-2018-software-eng-techniques
Users that are interested in scipy-2018-software-eng-techniques are comparing it to the libraries listed below
Sorting:
- ☆87Updated 7 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 7 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆39Updated 3 years ago
- ☆136Updated 6 years ago
- Summarise and explore Pandas DataFrames☆98Updated 5 years ago
- 📝 A blog post about report generation and automation in python☆40Updated 6 years ago
- A fork of the cookiecutter-data-science leveraging Docker for local development.☆131Updated 6 years ago
- 🐍💨 Airflow tutorial for PyCon 2019☆87Updated 3 years ago
- Materials for "Parallelizing Scientific Python with Dask"☆70Updated 7 years ago
- Material for 'Interactive Data Visualization with HoloViews & Bokeh' SciPy tutorial☆48Updated 3 years ago
- ☆66Updated 9 years ago
- Python library for deploying models built using Python to Alteryx Promote.☆15Updated 4 years ago
- An introduction to implementing a number of scikit-learn classifiers, along with some data exploration☆102Updated 9 years ago
- Interactive dashboard that show a decision support system to help DYCD/DOE’s award RFPs for the 2015 SONYC expansion.☆39Updated 3 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆112Updated last month
- Notebook Narratives for Industry from 2017 JupyterCon☆14Updated 8 years ago
- Materials for PyCon 2017 presentation on optimizing Pandas code☆213Updated 6 years ago
- Code for my OSCON 2015 talk☆83Updated 10 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆160Updated 5 years ago
- Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning☆55Updated 6 years ago
- Some examples of Altair plots☆92Updated 6 years ago
- Accelerate data science☆117Updated 4 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆121Updated 5 years ago
- ☆77Updated 7 years ago
- Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request☆65Updated 3 years ago
- ⭕️ Minimum Viable Machine Learning☆33Updated 5 years ago
- A tutorial on how to deploy a Dockerised deep learning application on Azure Container Services☆30Updated 2 years ago
- End-to-end data science example running on Cloud Foundry☆19Updated 9 years ago
- Python and Dask: Scaling the Dataframe☆39Updated 4 years ago
- Dockerfiles for images used as part of the Orbyter toolset☆44Updated last year