Introduction to efficient coding in Python

Python as a programming language offers many opportunities for optimization and creating efficient code. In this module, participants will learn about the basic principles of efficient coding and the tools available in the Python language that will help in creating efficient applications.

Memory optimization

In this module, participants will learn how to manage memory in Python in order to minimize resource consumption and optimize application performance. Techniques such as garbage collection and memory sharing will also be discussed.

Accelerating and optimizing application performance

This module focuses on techniques for accelerating and optimizing application performance. Participants will learn how to identify and solve performance issues, what kind of operations are the most costly, and how to optimize them.

Measuring application performance

In this module, participants will learn how to measure application performance in Python and how to analyze the effectiveness of their code. They will learn how to use profiling and debugging to identify areas requiring optimization.

I/O operations optimization

This module focuses on optimizing input/output operations. Participants will learn how to minimize waiting time for data and how to optimize disk operations and database usage.

Applying advanced programming techniques

In this module, participants will learn advanced programming techniques in Python that allow for creating even more efficient applications. Topics such as generators, list comprehensions, decorators, and asynchronous programming in Python will be discussed.