#28: Making Python Fast: Profiling Python Code

1

Introduction

00:00 • 3min

2

The Human Geo Group: A Small Government Contractor

02:32 • 2min

3

The Power of Social Media and Sentiment Analysis

04:06 • 2min

4

Python and Other Languages at Human Geo

05:51 • 2min

5

Profiling in Python

07:26 • 2min

6

The First Rule of Profiling and Python

09:13 • 3min

7

How to Profile a Python Application

12:04 • 2min

8

The Differences Between C Profile and Profile

13:41 • 2min

9

How to Make Your Python Code Faster and More Efficient

15:43 • 2min

10

PyCaulgraph: A Visualizer for C Profile Output

17:51 • 2min

11

Hiring Hired: A Curated Marketplace for Knowledge Workers

20:03 • 2min

12

How to Fix C Profile Problems

21:37 • 2min

13

How to Optimize Your Python Programming

23:26 • 2min

14

How to Use CPython to Improve Performance

25:13 • 2min

15

Python 3: A New Syntax for Parallelism

27:07 • 2min

16

How to Solve a Problem in Python

28:45 • 2min

17

The Importance of a Functional Programming Function

30:40 • 2min

18

How to Optimize Your Code for Faster Results

32:15 • 2min

19

Code Ship: How to Create a Python Dictionary That Caches Out Function Arguments

33:46 • 2min

20

The Importance of Profiling in Real Time Processing

35:47 • 2min

21

How to Use Pipi to Speed Up Your Python Code

37:55 • 2min

22

How to Optimize a Python Profile

39:44 • 2min

23

PyCharm 4.5: Built in Profiling

41:39 • 2min

24

Open Source Human Geo

43:45 • 2min

25

How to Write Python Code at a Fast Tempo

45:51 • 2min

26

How to Make Python Code Faster

47:39 • 2min