6 Ways Python Web Development Reduces Costs and Enhances Business Efficiency

With its simplicity, extensive libraries, and scalability, Python enables businesses to build robust web applications. But that’s not the only reason why so many teams today opt for this programming language for creating their custom solutions. The possibility of significantly reducing development costs is also among the most important benefits of using Python. In this article, we are going to explain the perks of relying on Python for web development and the ways to optimize the cost of Python projects.

Python is one of the most popular programming languages for web development today. Its clean and readable syntax makes it easy for developers to write and maintain code, helping to reduce the time and money required for projects.
Python is widely adopted by businesses of all types and sizes, including startups and enterprises. Even giants like Google, Meta, Netflix, and IBM use this programming language for their projects.
In addition, Python has an active global community that ensures continuous improvements, regular updates, and a vast repository of open-source libraries and tools. By relying on these resources, businesses can significantly lower the total cost of Python web app development.
Moreover, seamless integration with modern technologies such as AI, machine learning, and cloud computing enables Python developers to deliver future-proof web solutions. This highlights the very promising prospects of Python in the business world.

This programming language has a range of crucial features that can greatly facilitate the process of web software development. Let’s take a closer look at them.

• Robust frameworks for web development. Python developers can streamline the process of building web apps by using frameworks such as Django, Flask, or FastAPI, among others. They offer pre-built modules for handling common tasks such as authentication, database operations, and URL routing. As a result, there is no need to write everything from scratch.
• Cross-platform compatibility. Python supports great versatility and portability. Developers can write code on one operating system (it could be Windows, macOS, or Linux) and further run it on another with minimal, if any, adjustments. This flexibility is largely ensured by Python’s interpreter that is available across the above-mentioned platforms. Thanks to this feature, businesses leverage broad deployment and easy maintenance of their apps.
• Built-in debugging tools. This programming language also comes with a suite of built-in debugging tools that can help to significantly speed up the development process. One of such tools is pdb (Python Debugger). It allows developers to set breakpoints, step through code, inspect variables, and evaluate expressions interactively.
• Integration with other popular technologies. Python enables developers to combine the best tools and frameworks available in the tech ecosystem for building their apps. For instance, they can use languages like C, C++, and Java for faster execution of performance-critical tasks, while relying on Python for higher-level logic. This allows project teams to find the most optimal and effective solutions, without complicating the development process.
• Rich standard libraries. The vast ecosystem of libraries is also among the most significant benefits of using Python. It can offer ready-made solutions practically for any functionality businesses may ask for. For example, there are powerful libraries for AI and ML development, IoT systems, cybersecurity, game development, and others. 

The list of advantages of Python for web development can be enriched with points that prove the cost-efficiency of using this language. This characteristic often becomes a decisive factor for many businesses, especially those with limited budgets. Python is a feasible option for those who are looking for cost savings but are not ready to compromise on the quality of their solutions. 

Here’s what Python offers.

Open-source nature

Python is completely free to use. Its open-source nature allows developers to access and modify its source code without any extra fees. This eliminates the need for expensive software licenses, which can be a significant cost for businesses. Moreover, the majority of popular Python frameworks are also open-source. As a result, developers can leverage robust tools for building web apps at no cost.

Given all this, a team can create a fully functional web application using Python without spending a cent on software licenses. When it comes to some other technologies, only such fees may require investing thousands of dollars.

Rapid development

Python’s simple and intuitive syntax allows developers to write code faster compared to more complex languages like Java. This reduces development time and, consequently, labor costs.

Apart from this, Python frameworks such as Django come with highly demanded built-in features. For example, they can offer ready-to-use solutions for user authentication or database management. This eliminates the need to build these components from scratch and also helps to avoid spending extra time on developing apps. As a result, for enhancing an app with extra functionality, a developer may need a couple of days, instead of weeks or even months.

Scalability without major overhauls

Python’s scalability allows businesses to start with a small, simple app and then expand it as their needs grow. This eliminates the need for costly migrations or rewriting any parts of the software from scratch. 

Even a small online store built with Python can easily scale to manage thousands of users and transactions as the business grows, without a complete overhaul.

Development automation

Python is a powerful tool for development automation. It enables teams to streamline repetitive tasks, improve efficiency, and reduce human error. Its rich ecosystem of libraries and frameworks makes it highly suitable for automation in web development, testing, deployment, and system administration.

For instance, PyTest helps developers automate app testing. PyAutoGUI can be used for automating repetitive tasks by controlling the mouse and keyboard. BeautifulSoup is applied to automate web scraping tasks. Meanwhile, Pandas can be helpful for automating tasks related to data manipulation, analysis, and processing.

Thanks to this, it is possible not only to minimize the time required for such processes, but also to let developers get rid of route tasks. Instead, they can concentrate on more complicated, creative, and strategically important tasks.

Lower maintenance costs

While speaking about costs of using Python for web development, it’s worth mentioning not only expenses on the creation of apps but also on their post-launch support. 

Python’s clean and readable code makes it easier to maintain and update it. A lot of Python frameworks follow the DRY (Don’t Repeat Yourself) principle. Its main idea is to reduce redundancy and promote efficiency by avoiding duplicating code in a system. A particular piece of logic should exist in only one place within the entire codebase.

Thanks to easy maintenance, quite often businesses can enrich their Python web apps with new features or fix bugs without hiring additional developers.

Strong community

Python boasts a large vibrant community that plays a crucial role in its continuous improvement and widespread adoption. Thanks to this, developers have access to a wide range of resources, tools, and support, which enable businesses to save both time and money. Developers can work effectively and comparatively fast as they can always find solutions to all common challenges.

Moreover, Python has comprehensive, well-organized, and user-friendly official documentation. Therefore, developers can easily implement the language and get all the required information as quickly as possible.

As you can see, Python is a rather cost-efficient programming language by its nature. However, its incorrect implementation may lead to rather disappointing results and unexpected expenses. Therefore, to optimize Python web app development cost, you need to keep in mind the following best practices.

1. Write clean code. Python has a rather simple syntax, which allows developers to create readable and maintainable code. Adhering to Python’s style guide PEP 8 will help to improve code quality and consistency. It’s recommended to use descriptive naming. Clear names for variables, functions, and classes will ensure that your code is self-documenting.
2. Use the right libraries and frameworks. Python has an impressively rich ecosystem. But it doesn't mean that you can take any library and achieve the desired results. All libraries and frameworks have their purposes, use cases, and peculiarities. It’s vital to opt for those that fully meet your needs. Moreover, it is vital to check the quality of the chosen options. In the first place, it’s worth considering well-established libraries and frameworks for web development like Flask, Requests, NumPy, and Django.
3. Embrace asynchronous programming. Asynchronous programming in Python is a powerful concept for building high-performance and responsive applications. It enables multiple tasks to run concurrently without blocking the execution of other tasks. This approach is especially beneficial for handling I/O-bound tasks. Python provides robust support for asynchronous programming through the asyncio library.
4. Optimize development workflow. Python also offers a wide range of possibilities to build smooth work, streamline collaboration, and improve code quality. For example, Git is an essential tool for managing code versions. It will help your team handle updates in projects more efficiently. Regular peer code reviews will help to catch issues early and promote knowledge sharing. Meanwhile, the implementation of continuous integration and continuous deployment (CI/CD) will help to automate the build, test, and deployment processes and to ensure that new changes don’t break the codebase.
5. Keep security in mind. Security should be a top priority throughout the development process if you want to avoid financial and reputational losses caused by any vulnerabilities in the future. It’s crucial to follow best practices for secure coding, including input validation and error handling. Don’t ignore the necessity to encrypt sensitive data both in transit and at rest. We also recommend you introduce industry-standard authentication methods such as OAuth and two-factor authentication (2FA).

Apart from this, it is important to conduct regular audits and updates after the launch of your apps. Such measures will allow you to react timely to any possible risks and let you reduce the cost of Python projects in the long run.

At Cogniteq, we have been working with Python to build web solutions for quite a while, which has allowed us to gain exclusive expertise in this domain.

One of the projects we worked on was developing a real-time ad tracking system for truck-mounted banners. The client wanted a solution that would not only allow advertisers to view the location of their ads in real time but also provide access to historical truck movements to analyze ad performance over time, customize the frequency of data updates, and optimize ad placement based on accurate and reliable tracking data.

To implement such a system, each truck was equipped with a GPS tracking device. These devices continuously record the trucks’ locations and send them to the data processing platform. When the system receives fresh data, it updates a live map, allowing advertisers to see where their ads are at any given moment.

Given all the project requirements, our team chose Python to build the solution.

The implementation of this new system helped ad owners save 30-50% of the time previously spent on manual tracking, while the timeliness of ad placement improved by more than 20%.

By using Python for web development, businesses can keep their projects within the budget. Its open-source nature, ease of use, and rich ecosystem of libraries and frameworks contribute to faster development and lower costs. At the same time, its ability to automate tasks and integrate seamlessly with modern technologies helps companies improve business efficiency.

But there is one more component of the successful project implementation. That’s a professional development team by your side. If you are looking for seasoned Python developers, at Cogniteq, we will always be ready to help you. With our expertise in working with this programming language and deep knowledge in different domains, we will be able to bring real value to your business.

Contact us to discuss how we can optimize the cost of Python development without sacrificing quality.