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EuroSciPy 2023 - Pandas 2.0 and beyond
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Pandas has reached a 2.0 milestone in 2023. But what does that mean? And what is coming after 2.0? This talk will give an overview of what happened in the latest releases of pandas and highlight some topics and major new features the pandas project is working on.
0:09:24
Pandas 2.0 : Everything You Need to Know
0:05:38
Pandas 2.0 is coming
0:12:12
Leverage Pandas 2.0 changes to load and manipulate your data quicker!
0:01:32
What is Polars?
1:35:55
EuroSciPy 2023 - Introduction to numerical optimization
0:26:32
EuroSciPy 2023 - Why I Follow CI/CD Principles When Writing Code
1:28:55
EuroSciPy 2023 - Introduction to NumPy
0:53:03
Why I Switched From Pandas to Polars | TDE Workshop
0:29:49
Thomas Bierhance: Polars - make the switch to lightning-fast dataframes
0:33:02
Polars Tutorial: Blazingly Fast Exploratory Data Analysis in Python
0:20:31
Polars: A highly optimized dataframe library | Matt Harrison | Conf42 Machine Learning 2023
0:11:50
Polars Introduction for Python with a 128GB Ryzen 24-core Benchmark vs Pandas
0:21:49
Polars vs Pandas | detailed test with explained results
0:06:21
Polars: Working with Data Larger than RAM memory
0:29:47
Nico Kreiling: Raised by Pandas, striving for more: An opinionated introduction to Polars
2:14:28
Tutorials - Matt Harrison: Getting Started with Polars
0:08:20
Lambda in a Loop is a Code Smell
1:21:27
Prabhakar & Saha - Building a ML Model Observability pipeline | PyData Seattle 2023
0:10:46
What is Simple Exponential Smoothing? - Time Series Forecasting in Python
2:03:50
Similarity Search w/ Polars
0:22:47
Learning Polars for Data Analysis? Start Here!
0:27:52
Polars Tutorial: Aggregate and Analytic Functions (Group By, Dynamic Group By, Rolling Averages)
0:12:06
¿Podrá Pandas 2.0 superar en performance a Polars?
0:40:35
Polars DataFrame
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