For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
☆116Oct 21, 2021Updated 4 years ago
Alternatives and similar repositories for PyDataSeattle
Users that are interested in PyDataSeattle are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Git/Github Intro☆13Jun 17, 2015Updated 10 years ago
- Materials for the pandas tutorial at PyData Chicago 2016☆56Nov 11, 2020Updated 5 years ago
- ☆41Jul 24, 2015Updated 10 years ago
- ☆23Mar 5, 2013Updated 13 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Aug 1, 2015Updated 10 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- PyData NYC 2017: Pandas Head to Tail☆57Nov 29, 2017Updated 8 years ago
- code for my "stupid itertools tricks" talk from pydata seattle 2015☆151Mar 14, 2016Updated 10 years ago
- ☆86Jul 9, 2018Updated 7 years ago
- Materials for PyData at Strata/Hadoop World San Jose 2015☆12Mar 9, 2015Updated 11 years ago
- Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015☆145Jul 8, 2015Updated 10 years ago
- Code & data for Fast data processing with Spark V2☆14Feb 1, 2015Updated 11 years ago
- Tutorial on prediction with medical data using tree based models☆20Jun 14, 2023Updated 2 years ago
- Source code for my collection of articles on using pandas.☆1,566Dec 14, 2022Updated 3 years ago
- Materials for my pandas tutorial at PyData 2014, NYC☆111Aug 26, 2015Updated 10 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- This is the slides from my upcoming talk in Luxembourg. This will be the test for my PyData talk in Berlin and will influence any tutoria…☆14May 30, 2015Updated 10 years ago
- PyData Seattle 2015: Python Data Bikeshed☆125Jul 26, 2015Updated 10 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Jul 15, 2015Updated 10 years ago
- Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video☆104Mar 31, 2019Updated 7 years ago
- Common post-estimation tasks for scikit-learn☆17Nov 30, 2016Updated 9 years ago
- PyData NYC 2015 conference☆94Nov 11, 2015Updated 10 years ago
- Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks☆21Jul 24, 2015Updated 10 years ago
- A wrapper around tweepy to produce pandas dataframes for analysis☆74Jul 26, 2016Updated 9 years ago
- Course material for the Madrid ASDM class on text mining (C09)☆12Jul 5, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆141Apr 1, 2017Updated 9 years ago
- A library for defensive data analysis.☆502Jan 6, 2020Updated 6 years ago
- Reinhart Rogoff replication files: Python stats with IPython notebook☆28Aug 11, 2023Updated 2 years ago
- Repository for course materials related to Data and Databases. (Supercedes directories in "courses" repo)☆18Jul 7, 2016Updated 9 years ago
- Bokeh tutorial, PyData Berlin☆10May 29, 2015Updated 10 years ago
- Pydata Dallas 2015 Scikit-Learn Tutorial☆62Apr 24, 2015Updated 11 years ago
- Rebellious Magic Methods Demo☆14Sep 14, 2016Updated 9 years ago
- %conda magic for IPython☆28Mar 16, 2017Updated 9 years ago
- PyData Silicon Valley 2014 Code + Presentation☆36Jun 30, 2014Updated 11 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- How To's and Tutorials in Jupyter Notebook☆15Feb 26, 2019Updated 7 years ago
- pytorch implementation of wavenet autoencoder https://arxiv.org/pdf/1704.01279.pdf☆12Jul 25, 2018Updated 7 years ago
- Materials for my PyData Seattle talk☆21Aug 6, 2015Updated 10 years ago
- ☆69Dec 22, 2015Updated 10 years ago
- A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.☆317Oct 2, 2020Updated 5 years ago
- Course materials, IPython notebooks, tutorials, and guides for the urban data science course☆12Mar 27, 2016Updated 10 years ago
- Python data analysis course for 2015 NGCM Summer Academy☆18Jul 6, 2015Updated 10 years ago