Why Choose Python For Web Development in 2024: Understanding Key Pros & Cons

Since the mid-90s, Python has slowly grown in popularity with developers, and for the last two years, it has stood out as the most preferred language of choice for developers worldwide. Renowned for its simplicity, versatility, and extensive library support, Python has cemented its position as a go-to language for building robust web applications. As we delve into 2024, let’s explore why Python remains a compelling option for web development, dissecting its key advantages, and drawbacks and exploring the dynamics of the growing demand to hire Python developers.

The Pros of Python in Web Development:

#1 Simplicity and Readability:

Python’s syntax is clean, concise, and highly readable, making it an ideal choice for beginners and seasoned developers. Its minimalist approach reduces the learning curve, enabling developers to write clear and understandable code. This readability significantly enhances collaboration among team members, leading to faster development cycles and reduced chances of errors.

Example: Consider a simple Python function to calculate the factorial of a number:

def factorial(n):

if n == 0:

return 1


return n * factorial(n-1)

#2 Extensive Library Support:

Python boasts an extensive ecosystem of libraries and frameworks tailored for web development. Frameworks like Django, Flask, and FastAPI offer powerful tools and utilities for building scalable and efficient web applications. For instance, Django provides built-in authentication, URL routing, and templating, streamlining the development process to reduce time-to-market, and ORM (Object-Relational Mapping) for database interactions.

#3 Versatility and Flexibility:

Python’s versatility allows developers to use it across various domains, from web development to data analysis, machine learning, and beyond. Its flexibility makes it suitable for both small-scale projects and large-scale enterprise applications. With Python, developers can seamlessly integrate different components and technologies, enhancing productivity and collaboration within development teams.

Example: Companies like Dropbox leverage Python for their web services and for building desktop applications and backend systems, showcasing Python’s versatility and cross-platform capabilities.

#4 Community and Support:

Python boasts a vibrant community of developers, enthusiasts, and contributors who actively contribute to its growth and development. This thriving ecosystem ensures timely updates, extensive documentation, and many resources, including tutorials, forums, and libraries. The Python community fosters collaboration and knowledge sharing, empowering even small teams of developers to tackle complex challenges in web development. Having such collaboration within the developers’ community is especially helpful for solopreneurs or small businesses looking to hire Python developers to meet the demands of their projects and keep up with the changing web development trends.

#5 Scalability and Performance:

Contrary to common misconceptions, Python can deliver excellent performance and scalability judiciously. By leveraging asynchronous frameworks like FastAPI and asynchronous I/O libraries such as asyncio, developers can easily build high-performance web applications capable of handling thousands of concurrent requests. Additionally, Python’s extensive caching mechanisms and optimization techniques enhance its performance in web development scenarios.

Example: Platforms like Instagram and Pinterest, which handle millions of users and extensive media content, rely on Python for their backend infrastructure, demonstrating its scalability and performance capabilities.

The Cons of Python in Web Development:

#1 Performance Overhead:

While Python offers excellent developer productivity and ease of use, it may incur a performance overhead compared to lower-level languages like C++ or Go. Python’s dynamic typing-interpreted nature and Global Interpreter Lock (GIL) can impact its performance, particularly in CPU-bound tasks or high-throughput scenarios. However, this limitation can be mitigated through careful optimization, code profiling, and leveraging external libraries written in lower-level languages.

#2 Concurrency and Parallelism:

Python’s GIL poses challenges for achieving true parallelism in multi-threaded applications, limiting its effectiveness in CPU-bound workloads. While asynchronous programming paradigms offer solutions for handling I/O-bound tasks efficiently, CPU-bound operations may still suffer from performance bottlenecks. Developers must carefully design their applications to leverage Python’s concurrency features effectively while mitigating the limitations of the GIL.

#3 Dependency Management:

Managing dependencies in Python projects can be cumbersome, especially when dealing with conflicting package versions or complex dependency graphs. While tools like pip and virtualenv streamline the process to some extent, dependency conflicts and compatibility issues remain common challenges. Moreover, lacking a centralized package repository akin to npm or Maven can lead to dependency sprawl and versioning headaches, necessitating careful dependency management practices.

#4 Learning Curve for Asynchronous Programming:

While powerful for building highly concurrent web applications, asynchronous programming paradigms often come with a steep learning curve for developers unfamiliar with event-driven architectures or non-blocking I/O. Understanding concepts like coroutines, event loops, and async/await syntax requires a paradigm shift for developers accustomed to synchronous programming models. However, mastering asynchronous programming in Python can unlock significant performance gains and scalability benefits for web applications.

#5 Limited Use Cases for High-Performance Computing:

While Python excels in web development and data science domains, it may not be the best choice for high-performance computing (HPC) applications requiring maximum computational throughput. Tasks involving intensive numerical calculations or real-time processing may benefit from languages like C or Fortran, which offer greater control over memory management and lower-level optimizations. However, Python can still be used effectively for prototyping and orchestrating HPC workflows, leveraging interoperability with performance-critical libraries like NumPy and Cython.


In conclusion, Python is a compelling choice for web development 2024, owing to its readability, extensive libraries, scalability, and versatility. Despite facing some performance limitations and challenges, such as the GIL and dependency management, Python’s strengths outweigh its weaknesses, making it a preferred option for building web applications.

Business owners looking to develop web applications can benefit from hiring Python developers with the skills and expertise to leverage Python’s capabilities effectively. This is where they can choose to work with reliable, award-winning web development agencies like CodeClouds, with a team of 600+ global experts with competitive Python developer hourly rates and affordable packages that can help business owners bring their web development projects to fruition.

In essence, by understanding the key pros and cons of using Python for web development, businesses can make informed decisions and harness the full potential of Python to create robust, scalable, and feature-rich web applications in 2024 and beyond.