Python's Pandas Data Frames


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#### Your gateway to Extract-Transform-Load ( ETL ) & Machine Learning ( ML ). by Presenter: Robert Citek's
Embark on a beginner-friendly exploration of a powerful library that turns raw data into a playground for insights. In this introductory talk, we'll demonstrate how Pandas can help with the Extract-Transform-Load (ETL) processes, shed light on your data with its Exploratory Data Analysis (EDA) methods, and get started with Machine Learning (ML).
#### Agenda:
##### * Getting Started with ETL:
- Learn the foundations of extracting, loading, and transforming data with Pandas.
- Discover how Pandas simplifies the initial steps of preparing your data.
##### * Playful Exploration with EDA:
- Take a casual stroll through your data with Pandas' user-friendly Exploratory Data Analysis tools.
- Get acquainted with simple yet powerful techniques to understand your dataset.
##### * A Peek into Machine Learning with Pandas:
- Dip your toes into the world of ML as we showcase how Pandas contributes to the early stages of the ML journey.
- Explore basic concepts of data preparation for ML tasks.
##### * Hands-On with Google Colab:
- Immerse yourself in practical examples using Google Colab.
- Experience the simplicity and collaborative nature of working with Pandas in a cloud-based environment.
##### * Why Attend:
- Perfect for beginners exploring data manipulation and analysis.
- Gain familiarity with using Pandas for your initial data tasks.
The above is: MAIN Topic: Python's Pandas Data Frames
This is preceded (at 6:30cst) by:
## BASE Topic: ASCII Cinema (aka "Asciinema")
### Presenter: Sean Twiehaus
Save, share, and replay your terminal sessions with Asciinema.
Abstract:
### Asciinema is a free and open source solution for recording terminal sessions and sharing them on the web. Similar to script and scriptreplay. https://asciinema.org/.
Similar to last month's **script replay** BASE topic; but, with some really neat features.
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Python's Pandas Data Frames