Try:

pandas: Techniques for DataFrames, Data Cleaning, and Analysis

Videos covering core pandas operations. Learn to handle DataFrames, wrangle messy data, merge datasets, and optimize performance for large-scale data processing tasks.

Matching moments

Designing a type-safe data pipeline inspired by Pandas
05:09 MIN

Designing a type-safe data pipeline inspired by Pandas

Advanced Typing in TypeScript

Analyzing code coverage with Python, pandas, and Jupyter
12:38 MIN

Analyzing code coverage with Python, pandas, and Jupyter

Data Science on Software Data

Using high-level frameworks like Rapids for acceleration
02:56 MIN

Using high-level frameworks like Rapids for acceleration

Accelerating Python on GPUs

Using NVIDIA libraries to easily accelerate applications
04:05 MIN

Using NVIDIA libraries to easily accelerate applications

WWC24 - Ankit Patel - Unlocking the Future Breakthrough Application Performance and Capabilities with NVIDIA

Using high-level frameworks like RAPIDS for data science
03:14 MIN

Using high-level frameworks like RAPIDS for data science

Accelerating Python on GPUs

High-level frameworks for domain-specific acceleration
05:54 MIN

High-level frameworks for domain-specific acceleration

Accelerating Python on GPUs

Building a model to predict CO2 emissions
06:32 MIN

Building a model to predict CO2 emissions

Getting Started with Machine Learning

Collecting and exploring your initial dataset
03:46 MIN

Collecting and exploring your initial dataset

Machine learning 101: Where to begin?

A practical guide to plotting with Matplotlib
09:55 MIN

A practical guide to plotting with Matplotlib

Python Data Visualization @ Deepnote (w/ PyViz overview)

Discussing preferred data stacks and career advice
09:59 MIN

Discussing preferred data stacks and career advice

Fully Orchestrating Databricks from Airflow

Why data engineering needs software engineering discipline
01:28 MIN

Why data engineering needs software engineering discipline

Modern Data Architectures need Software Engineering

Getting started with automated feature engineering tools
01:43 MIN

Getting started with automated feature engineering tools

What is relational learning and why does it matter?

Developing models with a code-first approach using notebooks
09:54 MIN

Developing models with a code-first approach using notebooks

Introduction to Azure Machine Learning

Audience Q&A on performance and data science
21:41 MIN

Audience Q&A on performance and data science

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.

Introducing Bitpanda Labs for public AI experimentation
06:03 MIN

Introducing Bitpanda Labs for public AI experimentation

WeAreDevelopers LIVE - Bitpanda’s AI First Approach

Transforming wide CSV data into a document model
06:52 MIN

Transforming wide CSV data into a document model

40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs

Developing models with the Platform for AI (PAI)
07:08 MIN

Developing models with the Platform for AI (PAI)

Alibaba Big Data and Machine Learning Technology

Why Python is ideal for data streaming frameworks
04:36 MIN

Why Python is ideal for data streaming frameworks

Convert batch code into streaming with Python

Understanding Spark's core data APIs and abstractions
03:50 MIN

Understanding Spark's core data APIs and abstractions

PySpark - Combining Machine Learning & Big Data

Practical applications for real-time Python data pipelines
03:18 MIN

Practical applications for real-time Python data pipelines

Python-Based Data Streaming Pipelines Within Minutes

The challenge of industrializing data science models
02:07 MIN

The challenge of industrializing data science models

Industrializing your Data Science capabilities

Key takeaways for modern data processing
01:31 MIN

Key takeaways for modern data processing

Convert batch code into streaming with Python

The growing role of Python in real-time data processing
02:03 MIN

The growing role of Python in real-time data processing

Python-Based Data Streaming Pipelines Within Minutes

Exploring Alibaba's big data and AI product portfolio
04:18 MIN

Exploring Alibaba's big data and AI product portfolio

Alibaba Big Data and Machine Learning Technology

Using CuPy as a drop-in replacement for NumPy
01:25 MIN

Using CuPy as a drop-in replacement for NumPy

Accelerating Python on GPUs

Live demo of building models on the PAI platform
07:33 MIN

Live demo of building models on the PAI platform

Alibaba Big Data and Machine Learning Technology

Evaluating PostgreSQL vs DynamoDB for the new database
03:19 MIN

Evaluating PostgreSQL vs DynamoDB for the new database

Swapping Low Latency Data Storage Under High Load

The power of an even more opinionated framework
02:09 MIN

The power of an even more opinionated framework

Is Django too Complicated?

Why Python became the dominant language for AI
03:58 MIN

Why Python became the dominant language for AI

Coffee with Developers - Stephen Jones - NVIDIA

How Python became the dominant language for AI
04:09 MIN

How Python became the dominant language for AI

AI in the Open and in Browsers - Tarek Ziadé

Exploring the versatility of Python across different domains
04:29 MIN

Exploring the versatility of Python across different domains

Debugging Schrödinger's App

Drop-in libraries like CuPy and cuNumeric for easy acceleration
02:11 MIN

Drop-in libraries like CuPy and cuNumeric for easy acceleration

Accelerating Python on GPUs

Implementing the data as code concept for ML
01:52 MIN

Implementing the data as code concept for ML

How E.On productionizes its AI model & Implementation of Secure Generative AI.

How the Python paradox challenged enterprise norms
02:10 MIN

How the Python paradox challenged enterprise norms

Enterprise Python: Software That Lives Long And Prosper

Understanding Bitpanda's digital asset brokerage platform
03:01 MIN

Understanding Bitpanda's digital asset brokerage platform

WeAreDevelopers LIVE - Bitpanda’s AI First Approach

Operational benefits and limitations of using AWS Aurora
01:42 MIN

Operational benefits and limitations of using AWS Aurora

Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search

Matching Videos

Data Science on Software Data
48:10

Data Science on Software Data

Markus Harrer

Accelerating Python on GPUs
59:43

Accelerating Python on GPUs

Paul Graham

Python Data Visualization @ Deepnote (w/ PyViz overview)
50:38

Python Data Visualization @ Deepnote (w/ PyViz overview)

Radovan Kavický

PySpark - Combining Machine Learning & Big Data
43:26

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Machine learning 101: Where to begin?
26:25

Machine learning 101: Where to begin?

Lutske De Leeuw

WWC24 - Ankit Patel - Unlocking the Future Breakthrough Application Performance and Capabilities with NVIDIA
22:07

WWC24 - Ankit Patel - Unlocking the Future Breakthrough Application Performance and Capabilities with NVIDIA

Ankit Patel

Advanced Typing in TypeScript
28:44

Advanced Typing in TypeScript

Lars Hupel

Getting to Know Your Legacy (System) with AI-Driven Software Archeology
29:18

Getting to Know Your Legacy (System) with AI-Driven Software Archeology

Markus Harrer

Getting Started with Machine Learning
44:11

Getting Started with Machine Learning

Alexandra Waldherr

Accelerating Python on GPUs
22:18

Accelerating Python on GPUs

Paul Graham

Detecting Money Laundering with AI
29:37

Detecting Money Laundering with AI

Stefan Donsa & Lukas Alber

Accelerating Python on GPUs
24:39

Accelerating Python on GPUs

Paul Graham

Fireside Chat with Eric Demuth, CEO of Bitpanda
30:29

Fireside Chat with Eric Demuth, CEO of Bitpanda

Mike Butcher & Eric Demuth

What is relational learning and why does it matter?
28:00

What is relational learning and why does it matter?

Alexander Uhlig

Alibaba Big Data and Machine Learning Technology
43:57

Alibaba Big Data and Machine Learning Technology

Dr. Qiyang Duan

CUDA in Python
21:02

CUDA in Python

Andy Terrel

Python-Based Data Streaming Pipelines Within Minutes
39:04

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

Python: Behind the Scenes
25:29

Python: Behind the Scenes

Diana Gastrin

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.
57:49

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.

Jodie Burchell

Convert batch code into streaming with Python
46:43

Convert batch code into streaming with Python

Bobur Umurzokov

TikTok's Privacy Innovation
20:46

TikTok's Privacy Innovation

Mingshen Sun

Devouring APIs with Python
59:07

Devouring APIs with Python

Shweta Palande

Let's Get Started With Apache Kafka® for Python Developers
38:50

Let's Get Started With Apache Kafka® for Python Developers

Lucia Cerchie

Community Interview - PyLadies Berlin
18:48

Community Interview - PyLadies Berlin

Paloma Oliveira & Timna Aversa

Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search
26:04

Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search

Dharin Shah

Fully Orchestrating Databricks from Airflow
39:14

Fully Orchestrating Databricks from Airflow

Alan Mazankiewicz

Let's Get Aggregated: Custom UDAFs in Spark
19:58

Let's Get Aggregated: Custom UDAFs in Spark

Nikolai Nikolaev

WeAreDevelopers LIVE - Bitpanda’s AI First Approach
58:34

WeAreDevelopers LIVE - Bitpanda’s AI First Approach

Chris Heilmann, Daniel Cranney & Christian Trummer

How to implement convenient Python bindings to C++
22:13

How to implement convenient Python bindings to C++

Konstantin Bespalov

Enterprise Python: Software That Lives Long And Prosper
24:53

Enterprise Python: Software That Lives Long And Prosper

Álvaro Durán

Is Django too Complicated?
24:59

Is Django too Complicated?

Daniel Hepper

How to make REST APIs in Django?
56:06

How to make REST APIs in Django?

Kuldeep Pisda

Covid-19 - A crowdsourced map for checking supermarket wait times worldwide
45:26

Covid-19 - A crowdsourced map for checking supermarket wait times worldwide

Miki Lombardi

Overview of Machine Learning in Python
57:46

Overview of Machine Learning in Python

Adrian Schmitt

Pointers? In My Python? It's More Likely Than You Think
37:37

Pointers? In My Python? It's More Likely Than You Think

Eli Holderness

One AI API to Power Them All
30:48

One AI API to Power Them All

Roberto Carratalá