Python for Data Science: ODSC Guides, Tutorials, and Articles

An Introduction to Object Oriented Data Science in Python

Python Tools & Languagesposted by megan@odsc.com August 31, 2016

A lot of focus in the data science community is on reducing the complexity and time involved in data gathering, cleaning, and organization. This article discusses how object oriented design techniques from software engineering can be used to reduce coding overhead and create robust, reusable data... Read more

Picking the Perfect Hashtag w/Python

Social media has fundamentally changed the way in which we interact with each other, and with the World Wide Web. Our web activities are now inherently social. We can keep in touch with close friends on facebook without ever needing to pick up a phone or... Read more

Integrating Python and R

Blog Python R Tools & Languages Jupyter|Python|R|rstudioposted by Gordon Fleetwood April 19, 2016

Over time, Python and R have established themselves as the leading languages for Data Science. The rise of both has not been frictionless, though, as the two communities have ‘clashed’ over philosophical differences as each side recruits Data Science newcomers. R users will recommend that R... Read more

Top 5 Tools and Languages for Data Science

Blog Data Visualization Data Wrangling Modeling Python R Statistics Tools Tools & Languages Data Science|Python|R|SQLposted by Jason O'Rawe, ODSC Data Science Team April 18, 2016

Data science is an interdisciplinary endeavor, and it serves the purpose of extracting insight from varying sources of information. Various communities come together at Data Science Conferences to share their knowledge and promote innovation. It is not surprising, then, that the tools showcased by data scientists... Read more

Jupyter, Zeppelin, Beaker: The Rise of the Notebooks

Platforms Python Tools Tools & Languages Workflow Data Science|Jupyter|Notebooksposted by Alex Perrier December 3, 2015

Standard software development practices for web, Saas, and industrial environments tend to focus on maintainability, code quality, robustness, and performance. Scientific programing in data science is more concerned with exploration, experimentation, making demos, collaborating, and sharing results. It is this very need for experiments, explorations, and... Read more

Riding on Large Data with Scikit-learn

Data Wrangling Modeling Platforms Python Statistics Tools Tools & Languages Data Mining|Machine Learning|Python|Scikit-learnposted by Alex Perrier October 28, 2015

What’s a Large Data Set? A data set is said to be large when it exceeds 20% of the available RAM for a single machine. Which for your standard MacBook Pro with 8Gb of RAM, corresponds to a meager 2Gb dataset — size that is becoming... Read more

Saul Diez-Guerra at ODSC Boston 2015

Conferences Python Tools & Languages ODSC East 2015|Python|Speaker Talkposted by Open Data Science August 18, 2015

What We Learned While Teaching Python and Data Science Pedagogy and lessons learned from teaching an online introductory Python and Data Science courses. This is how we approached the matter, what we learned and where we want to go next. Presenter Bio: Saul Diez-Guerra works as... Read more

Using Spark, Python, and Parquet for Loading Large Datasets – Douglas Eisenstein ODSC Boston 2015

Conferences Python Tools Tools & Languages ODSC East 2015|Speaker Slidesposted by Open Data Science June 15, 2015

Spark, Python and Parquet from odsc Have you been in the situation where you’re about to start a new project and ask yourself, what’s the right tool for the job here? I’ve been in that situation many times and thought it might be useful to share... Read more

Using Python with Apache Storm and Kafka – Keith Bourgoin ODSC Boston 2015

Conferences Python Tools & Languages ODSC East 2015|Speaker Slidesposted by Open Data Science June 15, 2015

http://bit.ly/KeithBourgoinPresentation As Python gains more and more traction in data science, the ability to interact with large scale data processing systems has greatly improved. Instead of being limited to what can fit on one’s laptop or having to wait for a Hadoop job to complete, we... Read more

Monary: Really fast analysis with MongoDB and NumPy – Anna Herlihy ODSC Boston 2015

Conferences Python Tools Tools & Languages ODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Monary from odsc “MongoDB is a scalable, flexible and easy to use way of storing large data sets. Python and NumPy provide a comprehensive toolkit for data analysis. Unfortunately they don’t work together as well as they could: the official Python driver for MongoDB, PyMongo, is... Read more