How to improve Django's performance. Optimization Tips Django has established itself as a software framework rich in features and suitable for developing high-load sites and web applications in Python. However, the code does not always work following the logic that assumes a quick result. This is where you need to improve the performance of the code so as not to radically affect its behavior (ideally to completely reduce such an impact to zero).
The tasks Django optimization solves Speaking about improving performance, we recommend specifying your goals. In most cases, you need to increase the speed, but sometimes the performance can be affected by a large amount of memory consumption or high database requirements (which are to be optimized). It is important to understand that, in most cases, improving one parameter negatively affects the other one. Thus, if the program works faster now, then, most likely, the amount of memory consumed also will increase. Optimization measures sometimes just harm, reducing the quality of the program performance in general. Approach the issue globally: sometimes, the time spent on implementing improvements is incommensurably more valuable than the perceived benefit. Otherwise, optimization affects the portability and maintainability of a code. By outlining the tasks set, you can use tools that will help you find sources of inefficient work. More on that in the next section.
Comparative analysis of efficiency