Introduction to efficient coding in Python

Python as a programming language offers many possibilities for optimization and creating efficient code. In this module, participants will learn about the basic principles of efficient coding and about 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.

Acceleration and optimization of application performance

This module focuses on techniques to accelerate and optimize application performance. Participants will learn how to identify and solve performance issues, what kind of operations are 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 efficiency of their code. They will learn how to use profiling and debugging to identify areas that require optimization.

Optimization of I/O operations

This module focuses on optimizing input/output operations. Participants will learn how to minimize data waiting time and how to optimize disk operations and the use of databases.

Application of advanced programming techniques

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

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