Talk Python To Me

#384: Python Data Visualization - Where To Start?

Oct 4, 2022

01:13:16

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Highlights

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Episode notes

Splink: A Tool for Data Linkage and Deduplication

01:14

Excel's Approach to Visualization vs Python Tools

01:24

The Building Blocks for the Different Options

01:31

JavaScript - What's Unique About Plotly?

02:36

Introduction

2min

Practical Business Python - I'm Getting Back Into It

2min

Python Data Science Interrupted With Python

2min

10 Tips to Move From Excel to Python

3min

Is There a Superpower in Python?

2min

Is There a Course on Python Data Visualization?

3min

Python Visualization - Is Matplotlib the Grandfather of All Python Scripts?

2min

Is There a Difference Between Matplotlib and JavaScript?

2min

Microsoft for Startups Founders Hub

4min

10.

Is MATplotlib Object Oriented?

2min

11.

XKCD Theme

2min

12.

Matt Plott Lib

2min

13.

Matt Plott Lib - Pros and Cons

2min

14.

The Power of Matt Plott Lib

2min

15.

The Matplotlib Foundation for Visualization in Pandas

2min

16.

The Andrews Curves and Parallel Coordinations Are a Great Way to Explore the Data

2min

17.

Is Seaborn Really Powerful?

3min

18.

Using Seaborn to Visualize Big Data

2min

19.

Seaborn

2min

20.

JavaScript D3JS

2min

21.

The Interactivity of Altair Graphs

2min

22.

The Interactivity of Altair Data Visualization

2min

23.

What's the Challenge With Altair?

2min

24.

How Do I Get Amazon Author Reviews for a Year?

2min

25.

Using the Altair API, It's Really Simple and Powerful.

2min

26.

Can We Do Responsive and Animated Workflow Diagrams With Map Plot Lib?

2min

27.

JavaScript - What's Unique About Plotly?

3min

28.

Is Plotly a Backend Server Like Altair?

2min

29.

The Building Blocks for the Different Options

2min

30.

Streamlet and Plotly Dash - What's So Cool About Them?

2min

31.

Streamlet

2min

32.

Dash vs. Streamlet

2min

33.

The Power of Python - Streamlit and Dash.

5min

34.

Talk Python Training

3min

See the full show notes for this episode on the website at talkpython.fm/384

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