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Event: PyData DC 2016
Other events in this series:
2016
2018
Becoming a Data Scientist Advice From My Podcast Guests
Bot or Not? The Illusion of Intelligence
Closing Session
Dask for ad hoc distributed computing
Data Transformation: A Framework for Exploratory Data Analysis
Design Principles
Dev Ops meets Data Science Taking models from prototype to production with Docker
Dynamics in Graph Analysis Adding Time as a Structure for Visual and Statistical
ElasticSearch and Redis How and When to Use Them
Exposing Algorithms
GraphGen: Conducting Graph Analytics over Relational Databases
H2O Deep Water with Python early sneek
Improving PySpark Performance Spark performance beyond the JVM
Keynote: Extending from Open to Usable: A Commerce Data Conundrum
Keynote: The Culture of Data Transformation
Logistic Regression Behind the Scenes
Machine Learning Techniques for Class Imbalances & Adversaries
Making your code faster: Cython and parallel processing in the Jupyter Notebook
Open Data Dashboards & Python Web Scraping
Sustainable scrapers
Triaging Feedback Form Data
Visual diagnostics for more informed machine learning
You got your engineering in my Data Science: Addressing the reproducibility crisis
A Practical Guide to Dimensionality Reduction Techniques
Agent based modeling in Python
Bayesian Network Modeling using R and Python
Beyond Bag of Words A Practitioner's Guide to Advanced NLP
Building a (semi) Autonomous Drone with Python
Building Continuous Learning Systems
Building Serverless Machine Learning Models in the Cloud
Clustering: A Guide for the Perplexed
Creating a Contemporary Lending Risk Management System Using Python
Creating Python Data Pipelines in the Cloud
Data Sciencing While Female
Eat Your Vegetables Data Security for Data Scientists
Forecasting critical food violations at restaurants using open data
From rocks to a hammer when and how to change your company's analytical tools
Fuzzy Search Algorithms How and When to Use Them
How I learned to time travel, or, data pipelining and scheduling with Airflow
JupyterLab: Building Blocks for Interactive Computing
Keynote: Become a Data Superhero How Data Can Change the World
Keynote: Building a Data Driven Dialogue From Filling Potholes to Disrupting the Cycle
Keynote: How Open Data Science Opens the World of Innovation
NoSQL doesn't mean No Schema
Predicting Usage for Capital Bikeshare stations based upon Spatial Characteristics
Promoting a data driven culture in a world of microservices
Python useRs
Scaling up to Big Data Devops for Data Science
Variational Inference in Python
Beyond Sentiment Emotion Mining with Python and machine learning
Building Your First Data Pipelines
Doing frequentist statistics with Scipy
Educational framework for Black Box optimization methods design
Getting started with H2O on Python
How to Build Your Own Self Driving Toy Car
Interactive multi scale time series exploration with matplotlib
Julia Tutorial
Learn how to Make Life Easier with Anaconda
Machine Learning with Text in scikit learn
Modern NLP in Python
Pandas from the Inside
Parallel Python Analyzing Large Data Sets
The Five Kinds of Python Functions
Using Dask for Parallel Computing in Python