10 ways to speed up Python code

The article discusses clever techniques for optimizing Python code performance that can help developers write faster and more efficient code. Various methods and tools are highlighted that can be utilized within PyCharm, which is commonly used by many programmers today. Profiling code is emphasized, as it allows for identifying the slow parts and optimizing those segments that significantly impact the application's execution time. It is also important to note the specific code examples provided, which can be applied in practice to see the effectiveness of the suggested methods. Ultimately, the article encourages experimenting with different techniques to find those that best suit individual needs and project requirements.