Writing High Performance Python

Writing High Performance Python, available at $49.99, has an average rating of 3.85, with 45 lectures, based on 281 reviews, and has 2214 subscribers.

You will learn about 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 This course is ideal for individuals who are Programmers or Web Developers or Intermediate Python programmers who want to level up their skills It is particularly useful for Programmers or Web Developers or Intermediate Python programmers who want to level up their skills.

Enroll now: Writing High Performance Python

Summary

Title: Writing High Performance Python

Price: $49.99

Average Rating: 3.85

Number of Lectures: 45

Number of Published Lectures: 44

Number of Curriculum Items: 45

Number of Published Curriculum Objects: 44

Original Price: $189.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Programmers

Web Developers

Intermediate Python programmers who want to level up their skills

Target Audiences

Programmers

Web Developers

Intermediate Python programmers who want to level up their skills

Unleash the Power of Python: Master Robust, High-Performance Programming

Are you ready to embark on an enthralling journey into the realm of Python programming? Our meticulously crafted course is designed to elevate your Python skills from novice to virtuoso, enabling you to create powerful, efficient, and maintainable applications. As you delve into this captivating world, you’ll discover why Python is the go-to language for programmers seeking simplicity, versatility, and elegance.

This hands-on, immersive course will equip you with an ironclad foundation in Python’s basic syntax, type variables, and operators. You’ll then dive into more advanced concepts like statements, arrays, operators, string processing, and I/O handling. As you progress, you’ll master cutting-edge object-oriented techniques and metaprogramming approaches, unlocking Python’s full potential.

You’ll gain an intimate understanding of Python’s data structures as you manipulate tuples, harness the power of lists, and delve into the intricacies of dictionaries. Our expert guidance will help you navigate control statements and loops, as well as create modules, packages, and handle errors with finesse. By the end of your journey, you’ll be adept at utilizing Python collections and implementing classes, methods, and objects.

To ensure your Python code is lightning-fast and resource-efficient, we’ll share invaluable tips on high-performance programming:

1. Profile your code with Python’s built-in profilers to pinpoint bottlenecks.

2. Optimize loops using list comprehensions, map(), and filter() functions.

3. Leverage high-performance libraries like NumPy, Pandas, and Cython.

4. Utilize vectorization for numerical data processing.

5. Implement caching and memoization to avoid redundant calculations.

6. Optimize string concatenation using the .join() method.

7. Use generators for memory-efficient handling of large data sets.

8. Parallelize your code with concurrent.futures or multiprocessing libraries.

9. Compile your code with Cython, Nuitka, or PyPy for performance gains.

Upon completing this course, you’ll be an undisputed Python maestro, adept at crafting efficient, maintainable code that makes a lasting impact. Don’t hesitate – embark on this exhilarating adventure today and unlock the limitless potential of Python!

Course Curriculum

Chapter 1: Welcome

Lecture 1: Introduction

Lecture 2: How to Write High Performance Python

Chapter 2: Getting Started With This Course

Lecture 1: Expressions and Statements

Lecture 2: Slice sequences

Lecture 3: Some Tips

Lecture 4: Preference

Lecture 5: Process iterators

Lecture 6: Mistakes to avoid

Lecture 7: Take advantage of each block

Lecture 8: Contextlib

Chapter 3: Generators & Comprehensions

Lecture 1: Introduction

Lecture 2: Use list comprehensions

Lecture 3: Avoid more than two expressions

Lecture 4: Consider generator expressions for large comprehensions

Lecture 5: Consider generators instead of returning lists

Lecture 6: Be defensive

Chapter 4: Functions

Lecture 1: Introduction

Lecture 2: Learn how closures interact with variable scope

Lecture 3: Accept functions for simple interfaces

Lecture 4: Reduce visual noise

Lecture 5: Provide optional behavior

Lecture 6: Enforce clarity with keyword-only arguments

Lecture 7: Specify dynamic default arguments

Chapter 5: Classes

Lecture 1: Introduction

Lecture 2: Prefer helper classes over bookkeeping

Lecture 3: Use plain attributes instead of get and set methods

Lecture 4: Prefer public attributes over private ones

Lecture 5: Learn to Use @classmethod polymorphism

Chapter 6: Parallelism & Concurrency

Lecture 1: Introduction

Lecture 2: Learn to Use subprocess to manage child processes

Lecture 3: Learn to Use threads for blocking I/O, avoid for parallelism

Lecture 4: Learn to Use Lock to prevent data races in threads

Lecture 5: Learn to Use Queue to coordinate work between threads

Lecture 6: Consider concurrent.futures for true parallelism

Lecture 7: Python Concurrency Approaches

Chapter 7: Learn How To Make Your Programs Robust

Lecture 1: Introduction

Lecture 2: Learn to Use virtual environments

Lecture 3: Test with unittest

Lecture 4: Consider interactive debugging with pdb

Lecture 5: Profile before optimizing

Lecture 6: Learn to Use tracemalloc to understand memory usage and leaks

Chapter 8: Outro

Lecture 1: Course Summary

Chapter 9: Source Code

Lecture 1: Source Code

Lecture 2: Thank You!

Instructors

Eduero Academy, Inc.
Learn Web Development, AI and Data Science

Rating Distribution

1 stars: 1 votes

2 stars: 8 votes

3 stars: 45 votes

4 stars: 97 votes

5 stars: 130 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!