Writing High Performance Python
4.6 (4 ratings)
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Writing High Performance Python

Learn how to use Python to write efficient code and create efficient applications.
4.6 (4 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
72 students enrolled
Last updated 8/2017
English
Current price: $10 Original price: $195 Discount: 95% off
5 hours left at this price!
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Includes:
  • 5.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Learn slicing, indexing and string methods
  • Learn dictionary operation and methods
  • Make your programs more robust
  • Write efficient numerical code in NumPy, Cython, and Pandas
  • Discover the scope and function of variables with arguments and return value
  • Get acquainted with python types and its operators
  • Explore advanced concepts like collections, class and objects
View Curriculum
Requirements
  • A PC or Mac
Description

Python is a great language to get started in the world of programming and application development. It is a dynamic programming language, used in a wide range of domains by programmers who find it simple, yet powerful. The clean syntax, rich standard library, and vast selection of third-party libraries make Python a wildly popular language. This course will help you to take your skills to the next level having a good knowledge of the fundamentals of Python. Even if you find writing Python code easy, writing code that is efficient and easy to maintain and reuse is a challenge.

This course is a practical guide that shows how to leverage the power of Python to build robust applications. You will begin with the absolute foundation, covering the basic syntax, type variables and operators. Next, you will move on to concepts like statements, arrays, operators, string processing and I/O handling. Using advanced object-oriented concepts and mechanisms available in python, you will learn different approaches to implement metaprogramming. You’ll be able to learn how to operate tuples and understand the functions and methods of lists. We’ll help you develop a deep understanding of list and tuples and learn python dictionary. As you progress through the course, you’ll learn about function parameters and how to use control statements with the loop. You’ll further learn how to create modules and packages, storing of data as well as handling errors. We later dive into advanced level concepts such as Python collections and how to use class, methods, objects in python.

By the end of this course, you will be an expert in writing efficient and maintainable code. So what are you waiting for? Let's get started!

Who is the target audience?
  • Programmers
  • Web Developers
  • Intermediate Python programmers who want to level up their skills
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Curriculum For This Course
40 Lectures
05:34:53
+
Welcome
9 Lectures 48:36

Expressions and Statements
00:46

Slice sequences
05:28

Some Tips
03:39

Preference
03:46

Process iterators
05:34

Mistakes to avoid
06:39


Contextlib
09:34
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Generators and Comprehensions
6 Lectures 43:36
Introduction
00:31

Use list comprehensions
04:29

Avoid more than two expressions
09:56

Consider generator expressions for large comprehensions
05:54

Consider generators instead of returning lists
07:47

Be defensive
14:59
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Functions
7 Lectures 54:36
Introduction
00:43

Learn how closures interact with variable scope
14:18

Accept functions for simple interfaces
13:52

Reduce visual noise
05:59

Provide optional behavior
06:54

Enforce clarity with keyword-only arguments
05:54

Specify dynamic default arguments
06:56
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Classes
5 Lectures 01:05:24
Introduction
00:20

Prefer helper classes over bookkeeping
18:16

Use plain attributes instead of get and set methods
14:25

Prefer public attributes over private ones
15:18

Learn to Use @classmethod polymorphism
17:05
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Parallelism and Concurrency
6 Lectures 01:09:27
Introduction
00:21

Learn to Use subprocess to manage child processes
14:20

Learn to Use threads for blocking I/O, avoid for parallelism
14:05

Learn to Use Lock to prevent data races in threads
12:04

Learn to Use Queue to coordinate work between threads
18:35

Consider concurrent.futures for true parallelism
10:02
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Making Your Programs Robust
6 Lectures 52:25
Introduction
00:32

Learn to Use virtual environments
11:21

Test with unittest
09:11

Consider interactive debugging with pdb
08:28

Profile before optimizing
14:31

Learn to Use tracemalloc to understand memory usage and leaks
08:22
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Outro
1 Lecture 00:49
Course Summary
00:49
About the Instructor
Eduero Academy, Inc.
3.8 Average rating
10 Reviews
293 Students
4 Courses
Learn Web Development, AI and Data Science

Eduero specializes in technical training via on-demand streaming. We seek to inform and inspire independent instructors with knowledge that goes beyond just technical skills. Each course undergoes a rigorous planning, review and an internal quality check phase - to ensure that the teaching is of highest standards available online. At the end of each section, you will be challenged to work through hands-on exercises to demonstrate mastery of the material.