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:
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Profile your code with Python’s built-in profilers to pinpoint bottlenecks.
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Optimize loops using list comprehensions, map(), and filter() functions.
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Leverage high-performance libraries like NumPy, Pandas, and Cython.
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Utilize vectorization for numerical data processing.
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Implement caching and memoization to avoid redundant calculations.
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Optimize string concatenation using the .join() method.
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Use generators for memory-efficient handling of large data sets.
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Parallelize your code with concurrent.futures or multiprocessing libraries.
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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
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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
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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!
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