Python is an open-source programming language that’s known for its simplicity, libraries, and fast response time. It is suitable for web and mobile app development.
Python is one of the most popular programming language globally, after JavaScript, suitable for mobile and web development, and used to create both frontend and backend of an application. It is being used by some of the biggest companies like Google and Netflix for their web interfaces. It is being vouched by any expert web developer or a Novice Python programmer to affirm its dependability and quickness. Other languages that queue after Python for web development are Java, JavaScript, C, C++, C#, PHP, R, TypeScript, Swift, and Objective-C.
Python can be programmed both ways – at frontend and at backend. It is relatively easy to learn and use. It was developed for the sake of code readability, and to allow programmers to write the program with fewer lines of code. Python is a cake walk for a programmer trained in object oriented programming (OOPS) principles, and having a sound knowledge in C#, C++, and C. It is easy to learn and the complex coding can be achieved according to the difficulty of the project.
But, don’t get excited too soon: Python still lacks the necessary built-in functionality and features to fasten the custom web app creation. For this reason, numerous developers opt for Python’s adjacent frameworks to handle the execution basics. Such Python frameworks can be implemented and deployed by web developers to create futuristic applications.
How does Python help web development?
Python is user-friendly, has a clear syntax, and features robust frameworks like Django, and Flask. It can be used at frontend and at backend. Python development companies hire web developers for building complete application. It is easy to use for those who know the basics. It is old, therefore appreciators are enough.
Python comes with some powerful set of libraries like (1) Matplotlib, (2) SciPy, (3) Theano, (4) LightGBM, (5) Python First, (6) Flask, (7) OpenCV, (8) Seaborn, (9) Scikit-learn, (10) Keras, (11) Beautifulsoup, (12) Pipenv, (13) Scapy, (14) NetworkX, (15) Pillow, (16) ELI5, (17) TensorFlow, (18) PyTorch, (19) PyBrain, (20) Bokeh, (21) NLTK, (22) Pygame, (23) NUPIC; other Python libraries used by networking engineers to write scripts and automate the network are Ansible, NAPALM, Netmiko, Pyeapi, PySNMP, Junos PyEZ, and Paramiko SSH.
The level of difficulty, the extent to which it can be scaled and used largely depends on the complexity of the project.
What is Python programming language used for?
Besides web and mobile development, Python programming language is also used for system administration, developing games, and to write test scripts for testing performance of mobile devices. Python has inherited some of its basics from Java, C, C++, and C# and has been consistently growing in popularity. When combined with big data, Python is able to handle issues with data analysis.
What are the features, and benefits of Python?
Python is designed for better code reusability, and has vast community support. It comes with a large set of library and tools – functions, exceptions, constants, file formats, multimedia services, file & directory access, GUI development tools, internet protocols/support, custom Python interpreters, data compression, data modules, data archiving, Pygame, SciPy, matplotlib, Scrappy, wxPython, PyQT, PyGTK etc. Python code is not complex and relatively easier than it’s OOPS counterparts and supports multiple programming paradigms.
How will Python trend in future?
Python is already making waves after being the premier goldmine of data science, neural networks, and artificial intelligence algorithms. It works closely with machine learning algorithms like PyML, PyBrain, scikit-learn, MDP Toolkit, GraphLab Create, MIPy etc. Other Python tools and libraries that are used to assimilate AI are pyDatalog, AIMA, EasyAI, SimpleAI etc; to make neural networks PyAnn, pyrenn, ffnet, neurolab libraries are used; to enable natural language & text processing Quepy, NLTK, genism are used.
Popular Python Frameworks for Web Development
Web development companies make use of Python frameworks like Django, web2py, FastAPI, Jam.py, Flask, turboGears, Quixote, Zope, CherryPy, Grok, Pylons project – to improve website performance and market time.
Python advantages and disadvantages for web development
Pros (Python is easy, user-friendly, readable, versatile, and has large community support)
- Easy to Use – Friendly Interface
- Large community of Python developers is available on Discord and GitHub – documentation is readily available. Web Developers can query, discuss, share code excerpts, check repositories, create and review API’s; beginners can learn to code; and documentation, tutorials, tips and tricks keep on growing helping new programmers in mastering the language.
- Versatile – Many Python web development companies have been using this language for many years. They’ve completed various complex projects and have a number of successful examples in e-commerce, finance, healthcare, data science, robotics, artificial intelligence, chat bots, and real estate domains. Some examples of Python include: Travel booking platform, financial companies. Many large and trusted global firms make use of Python web development services along with Django to create social media apps like Pinterest Cloud storage apps.
Cons (Slow Performance)
Python has some limitations like slow performance as compared to other compiled languages, issues with memory management, and incompatible versions after upgrades. It lags in speed, memory usage, and version compatibility.
Is it easy or tough to update Python Web Applications?
It is easy to update Python applications to access new features, enhancements, and security improvements. But these applications are difficult to scale as it requires rebuilding the app. To update a Python web application, set up a test environment, install the updated versions that you require. Make use of innoSetup to specify special situations like files that should not be updated if they already exist.
What is the role of Python for Web Development?
Python sends data to and from servers, processes data and communicates with databases, routes URLs, and ensures security. It offers several frameworks for web development. Commonly used ones include Django and Flask.
Top Python frameworks for web development that became web development trends were Django, CherryPy, Pyramid, Grok.
All these simplify the web development process by providing a set of packages. Modules that enable programmers to chalk web development services and apps. Python frameworks free up programmers from monotonous tasks like protocol and thread management, allowing them to focus on application logic.
Conclusive
Python for web development is a good choice due to its simplicity, versatility, and large community of developers. However, it is important to be aware of the limitations of the language, such as its slower speed and memory usage.
