Automating machine learning workflow with DVC

Developing a match-making algorithm between customers and Go-Jek products!

Everything You Know About MongoDB is Wrong!

How to sort anything

Practical Optimisations for Pandas

Radio Astronomy with Python

Ray: A System for High-performance, Distributed Python Applications

Reduce hardware costs in Internet of Things using Python

Speed Up Your Data Processing

The Python Data Visualization Landscape in 2020

Top 15 Python Tips for Data Cleaning/ Understanding

Writing and Scaling Collaborative Data Pipelines with Kedro

Astro Pi: Python on the International Space Station

Building Data Workflows with Luigi and Kubernetes

Machine learning on non curated data

The state of Machine Learning Operations in 2019

Building a Powerful Pet Detector in Notebooks

A Worked Intro to Scikit-learn

Pandas ecosystem 2019

Open Sourcing at Work

Hacking Your Way Into Machine Learning

Predicting future states using High Order Markov Chains

Using Python to bring democracy to the A.I. age

Come vanno gli affari? Visualizziamolo con Superset

Unveiling the potential of graph databases with Python and Neo4j

Modern ETL-ing with Python and Airflow (and Spark)

Data Science & Data Visualization in Python. How to harness power of Python for social good?

Becoming a Data Scientist Advice From My Podcast Guests

Data Transformation: A Framework for Exploratory Data Analysis

Dev Ops meets Data Science Taking models from prototype to production with Docker

Keynote: Extending from Open to Usable: A Commerce Data Conundrum

Keynote: The Culture of Data Transformation

Open Data Dashboards & Python Web Scraping

Triaging Feedback Form Data

You got your engineering in my Data Science: Addressing the reproducibility crisis

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

How I learned to time travel, or, data pipelining and scheduling with Airflow

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

Promoting a data driven culture in a world of microservices

Scaling up to Big Data Devops for Data Science

Building Your First Data Pipelines

Parallel Python Analyzing Large Data Sets

Finding Driving Style Patterns in Caterpillar Machine Data

Machine learning techniques for data cleaning

Using Exploratory Data Analysis to Discover Patterns in Image and Document Collections

When Worlds Collide: Productionalizing a Data Science Model

Data Engineering Architecture at Simple

Keynote: Using Data Science for Social Good: Examples, Opportunities, and Challenges

What Data Analysts Wish Application Developers Knew

Luigi & Data Pipelines

Working with real-time data streams in Python

Data mining and integration with Python

PyGotham 2011: Intro to Data Visualization

Real-Time Django

Guy Kloss - Python Data Plotting and Visualisation Extravaganza