Snakes in a Grid: Python in Excel

Описание: Spreadsheets are one of the most common ways to share data, and thankfully Python has lots of tools to help! In this tutorial, we will cover some helpful packages like openpyxl and pandas that make working with spreadsheets in Python a breeze. We will also approach the task from the other direction and explore how you can use Python directly in a spreadsheet in Excel to analyze and visualize your data. The session will include practical exercises where attendees will learn how to load, manipulate, and export spreadsheet data using Python. By the end of this tutorial, participants will be equipped with the skills to efficiently handle spreadsheet tasks in Python as well as leverage Excel to run and share Python code directly in a spreadsheet.

By the end of this tutorial, participants will be equipped with the skills to efficiently handle spreadsheet tasks in Python as well as leverage Excel to run and share Python code directly in a spreadsheet.

By the end of this tutorial, participants will be equipped with the skills to efficiently handle spreadsheet tasks in Python as well as leverage Excel to run and share Python code directly in a spreadsheet.

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00:00 — Intro: Python in Excel Overview
00:14 — Why Use Python Instead of VBA
01:15 — Security Benefits of Cloud Execution
02:00 — How Python Runs in Excel via Anaconda
03:23 — Excel Module and Jupyter Kernel Explained
04:27 — Data Type Handling in Python Cells
05:02 — Speaker Intro: Dr. Sarah Kaiser
05:49 — Collaboration Benefits for Data Sharing
06:31 — Copilot and Advanced Analysis Mode
06:49 — Demo: Getting Started with Python in Excel
07:42 — Writing and Running Python Cells
08:57 — Switching Between Python and Excel Outputs
10:07 — Python and Excel Formula Interoperability
11:01 — Output Type: Python Object vs Excel Value
11:59 — Using the Formulas Tab for Python Tools
12:27 — Restarting Kernel and Runtime Options
13:01 — Jupyter Notebook Editor in Excel
13:57 — Initialization Script and Custom Imports
14:47 — Execution Order and Layout Tips
15:26 — Offline Options with PyScript
16:14 — Viewing and Navigating Python Cells
16:54 — Loading Data into Python from Excel
17:28 — Why Use Python: ML and Visualization
18:44 — Demo: Advanced Plotting with Matplotlib
19:48 — Creating Dashboards with Python in Excel
20:21 — Q&A and Final Resources