#414: A Stroll Down Startup Lane

1

Introduction

00:00 • 2min

2

How I Got Here to Start Up Row at PyCon

01:34 • 2min

3

The Differences Between Desk and Desk

03:55 • 2min

4

How to Start Up Row

05:36 • 2min

5

The Importance of Asking the Hard Questions

08:05 • 2min

6

GitHub Co-Pilot: A Code Agent

09:43 • 1min

7

Python and the Future of Science

11:13 • 2min

8

How to Make Machine Learning a Passion

13:12 • 2min

9

Century: The Most Affordable Application Performance Monitoring Solution in the Market

15:34 • 2min

10

The Importance of Space and Time in Data Collection

17:50 • 4min

11

Python for Geospatial Data

22:01 • 2min

12

Python Programmable Spreadsheets That Are Super Powered With Python and AI

24:12 • 2min

13

NipTime: A Python Programmer's Solution to Share Data Science Work

26:02 • 2min

14

Python for Excel and Sheets

27:49 • 2min

15

How to Start a Business With Open Source

29:26 • 2min

16

Nixla: A Time Series Startup Ready to Make Predictions Based on an Open Source Time Series Ecosystem

31:16 • 2min

17

Python for Data Processing

33:01 • 2min

18

How to Start a Pro at PyCon

35:12 • 2min

19

Pradybase: A Platform for Rapidly Building, Iterating, and Deploying Machine Learning Models

36:53 • 2min

20

How to Use Ludwig to Train Machine Learning Models and Pipelines

39:08 • 2min

21

Praddy Base: A Multi User Experience for Machine Learning

41:01 • 2min

22

The Pure Python Full Stack Web App Platform That Pinecone Built

42:36 • 2min

23

Pinecone: A Way to Make Web Apps in Python

44:15 • 2min

24

How to Make a Serious Web App With Python

45:51 • 2min

25

Pinecone: A Framework for Python Developers

47:24 • 2min

26

Y Combinator: An Open Source Framework for Python App Development

49:10 • 4min