Writing High Performance Python
Updated on
Course overview
- Provider
- Udemy
- Course type
- Paid course
- Level
- All Levels
- Duration
- 6 hours
- Lessons
- 42 lessons
- Certificate
- Available on completion
- Course author
- Eduero Academy, Inc.
-
- 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
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!
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