Python 3 Performance

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Dan Tofan

2:57:52

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1. Course Overview

1. Course Overview.mp4

01:19

2. Measuring Performance

1. Understanding Performance.mp4

05:40

2. Strategy to Improve Performance.mp4

03:36

3. Basic Ways to Measure Performance.mp4

06:40

4. Why Profile.mp4

07:06

5. More Profilers.mp4

06:38

6. Visualizing Profiling Data.mp4

07:25

3. Using the Right Data Structures

1. Which Data Structure Is Faster.mp4

06:41

2. Comparing Lists and Arrays.mp4

05:45

3. Comparing Sets and Tuples.mp4

06:04

4. Comparing Queues and Deques.mp4

05:27

5. Using Dictionaries.mp4

05:54

6. Comparing Dataclass, Dictionary, and NamedTuple.mp4

06:45

4. Optimizing Python Code

1. Caching.mp4

06:22

2. For vs. List Comprehension.mp4

04:39

3. Efficient Iterations with Generators.mp4

05:34

4. Fast Concatenation of Strings.mp4

04:54

5. Permission or Forgiveness.mp4

05:24

6. Faster Functions.mp4

04:32

7. Optimizing Numerical Calculations.mp4

05:40

8. Interpreter-based Optimizations.mp4

04:11

9. Risky Optimizations.mp4

05:07

5. Using More Threads

1. What Are Threads.mp4

05:38

2. Challenges of Working with Threads.mp4

06:07

3. When to Use Multithreading.mp4

05:17

6. Using Asynchronous Code

1. Asynchronous Code.mp4

05:59

2. Challenges of Working with asyncio.mp4

05:44

3. When to Use asyncio.mp4

05:57

7. Using More Processes

1. Process-based Parallelism.mp4

05:58

2. Processes Communication.mp4

02:56

3. When to Use More Processes.mp4

05:03

4. Scaling from One to More Machines.mp4

05:41

5. Summary.mp4

02:09

Description

Python developers love Python's high productivity. Unfortunately, many Python applications suffer from slow performance. This course is about concrete approaches for improving the performance of your Python applications.

What You'll Learn?

Are your Python applications running slowly? If yes, this Python 3 Performance course is going to give you concrete approaches to increase the speed of your Python applications. First, you will learn how to measure the performance of Python applications. Next, you will discover how to write faster Python code by using the right data structures. Finally, you will learn how to speed up your applications using threads, asyncio, and more processes. Take this course and make your Python applications faster!

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Python

Dan Tofan

Instructor's Courses

Dan started programming decades ago on a Spectrum clone and started his professional programming career in 2003. Eager to learn, Dan moved to Netherlands to study at the University of Groningen. Now, Dan is proud of his PhD thesis on decision making and knowledge acquisition in software architecture, and about a dozen publications with hundreds of citations. Dan used Microsoft technologies for many years, but migrated gradually to Python, Linux and AWS, to learn more of the computing world. Currently, Dan is a full-time Python programmer at the Romania office of a global company in the research domain.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.