Last Updated: July 17, 2023


Ifrah Khan


Python is a versatile and powerful high-order programming language. It has you covered whether you are creating a Python web application or working with ML. You can use Python in almost any field. As a result, it has seen unprecedented popularity and growth year by year.

However, one of the drawbacks of Python is its speed. When your app performs at optimal levels, its impact can be significant. Your business might lose productivity, or end-users may leave your site due to poor experience.

So, is there any way to make sure that this doesn’t happen? Yes, there are some valuable ways to help you improve your Python app's speed and performance. We are going to step through those seven ways. Let's Begin.


Use Built-In Functions

A built-in function is always helpful in any language because it helps developers write the code from scratch. The same is the case with Python web application development.

Python comes with tons of built-in functions and valuable libraries. These libraries help them write the features at different places in your Python web development. As a result, you can write efficient and high-quality code. However, it is not easy to beat the underlying libraries.

Just like your codes, Python libraries are optimized and tested rigorously. In addition, built-in functions in Python are easy to use and implement in your project. As a result, a Clutch certified Python development company can easily optimize the codes in your project.


The first and foremost step is to find the impediments to your Python app's performance to identify the root cause of the problem. By finding the problem, you can plan and choose the best solution and option for your application. 

You can also take the help of tools to optimize the app performance. For better results,  hire Python web developers to do the job on your behalf.


Code Optimization

One of the Python performance optimization methods to ensure code quality is to have the best code optimization techniques and processes. Therefore, code optimization is one of the effective Python performance optimization techniques. A custom web development company can easily do that for you.

Use Asynchronous Python

Python was developed to support synchronous code that finishes one task at a time. But, Python and other languages have evolved to support asynchronous code, which allows the completion of multiple tasks simultaneously.

You can boost Python development performance by utilizing asynchronous Python in place of synchronous Python. 

Take Advantage Of Code Tracing

Identifying and fixing bottlenecks is essential for boosting application speed. But, to resolve them, Custom software development company developers need to know which code lines need to be rewritten. Some tools work as an aircraft black box for Python apps. It helps you record and plays back the history of your Python apps so you can:

  • See the number of times a specific event or file
  • Check every step an app takes and its results, including arguments, functional calls, memory usage, and return values.
  • Analyze event workflows

Use Caching

Boost application performance and speed by caching specific data and pages. Caching eliminates redundant page loading. If it is impossible to cache the entire page data, you can also use data caching. It also lets you choose where you wish your data to be cached, like on disk, shared memory, and so on.

There are a lot of ways to boost the performance of apps built with Python. That is the reason why experts recommend it for data science too. However, there are some requirements that Java can also fulfill. We have a separate article that compares Python and Java for data science.

Use Zen Of Python

Excellent application performance needs Python runtimes that include security patches and bug fixes. But, the community only offers support for runtimes for a maximum of 2 years. So, boost your Python development process by using Zend Python. It is the most secured and certified Python stack with Zend Server.


Conclusion Thoughts

So these are the seven best ways to improve the performance of a Python application. Hire Python developers to follow these tips to optimize the code and amplify the app performance.

Each of these tips has its value and delivers you a noteworthy performance improvement. But, when used jointly, you can expect to see a considerable change, not to mention quality improvement. Narola Infotech’s software development is the way to go to give your app a boost.

Launch Your Dream Now!!

Join the force of 1500+ satisfied Narola Client Globally!!!

    Get Notified!

    Subscribe & get notified for latest blogs & updates.