Python Development in India
Python has been around for so long. The programming language celebrated its 30th anniversary in 2022. The importance of this programming language has never diminished, even though the years have gone by, it will continue to be one of the most important languages for developers for years to come.
A short intro into what is Python
Python is a general purpose, dynamically typed, high level and interpreted programming language created by Guido van Rossum in 1989, and released in 1991. It became one of the fast growing languages in the world, thanks to its elegant syntax, and it is easy to learn, and can be used for a number of purposes including:
- Server side web development
- Software development
- System scripting
- Organizing finances
- Machine Learning
- Game Development
- Desktop GUI
And many more…
Python for Web development
Python makes web applications real quick. This is mostly because Python uses great frameworks to build web applications, and they have common-backend logic that makes up all these great frameworks. There is also a huge library that would help in integrating the protocols like HTTP, FTP, SSL etc.
If you are building the web application from scratch, these frameworks are going to be really helpful because they are noted for their stability, security and scalability. It allows the developer to suit their own style, functional, object-oriented or imperative. It lets you build in any style that you want and adapt Artificial Intelligence, Internet of Things and Deep Learning. So you can build apps pertaining to the travel industry, healthcare, finance etc.
Python for game development
Python is widely used for game development, especially in the development of interactive games. There are libraries that help in supporting 3D game engines. The most noted one is the built-in library, pygame. The gaming industry has progressed so far ahead, but Python is still widely used, because it can work with AI and Deep reinforcement learning.
For building web scraping applications
Apps and websites that work as price comparison portals, email address gathering, research and development and job listing need to handle huge amounts of data will find that Python is just perfect for it. This process is known as Web Scraping, for collecting large information from different sources automatically. You can scrape websites either through online services, by writing your own code or by APIs.
Python is widely used because it is easy to use. You don’t have to add semicolons or curly braces anywhere, making it simple and neat.
With Python, you don’t have to define data types for variables, because it is dynamically typed, and directly use the variables whenever needed. This is a huge time saver for developers enabling them to complete their jobs faster. So you don’t have to spend any time writing codes because the syntax is very easily understandable, and even easier to read. Python is expressive and users can easily differentiate between the different blocks in the code.
For Building Business Applications
Businesses need to expand overtime and when you expand, you need to build apps that scale as you grow. With Python, you can scale as your business expands. You can use Data Analysations, ML, Big Data and Data Science and other new-age technologies when you work with Python. Apart from the benefits of using Python that we have mentioned above, Python is a great choice because it is compatible with all the major platforms like Windows, Linux and Mac. The code created for one can work effortlessly, and without recompilation. The codes can be updated effortlessly and quickly any time you want.
Another reason why businesses prefer Python is because of its test-driven development feature. With this, you can build software prototypes swiftly. It would help check whether the app confers to the predefined requirements. It uses the TDD approach to assess the application code continuously.
Additionally, Python can also be used to develop CAD applications, embedded applications (example Raspberry Pi) for high-level computations and also for audio and video applications.
Comparing Python to other programming languages
Python is often preferred to other programming languages. Here are some reasons for that:
- Python has excellent similarities to the English language, and combine it with a little bit of mathematics, and you have a readable programming language
- While other programming languages use semicolons and parentheses, Python uses new lines to complete commands (improves readability once again)
- Python defines scope by relying on whitespace, indentation, it defines scope of loops, functions and classes this way while other programming languages use curly brackets.
Applications of Python
Python helps build any kind of applications, including cross-platform applications. Some globally known applications include Google, Facebook, Amazon, YouTube, DropBox, Netflix, Spotify, Instagram and BitTorrent. Yes, that’s right. All the big names have used Python.
Google uses Python because of the web crawling spider. This was earlier written in Java, but changed because of its complexity.
Dropbox uses Python because it is easy to understand and analyse while creating the desktop client, and data sharing also becomes simple.
Netflix uses Python because of its image analytics capability and text mining feature.
Python is used in Artificial Intelligence and Machine Learning
Both Machine Learning (ML) and Artificial Intelligence (AI) are the future. They provide the next level personalisation and improved search functionality.
Machine Learning is the process of making the computer understand and learn by looking at data and statistics. Through AI, apps can see, hear, respond to what people need and think. Overall, both ML and AI can provide enhanced user experience and anticipate what they need.
There are plenty of Python AI projects today because the programming language is hugely stable and flexible enough to handle the requirements. The simplicity and consistency, plus the availability of so many tools and libraries contribute to the building of highly productive, responsive apps.
Using Python for AI and ML for app development can reduce development time because of the huge number of Python frameworks and libraries for this purpose. There is a set of software libraries with a number of pre-written codes and a rich technology stack. Examples:
- NumPy for scientific computing, data analysis etc.
- SciPy for advanced computing
- Pandas for general purpose data analysis
- Scikit-learn, TensorFlow and Keras for Machine Learning
Using Python for software development is definitely a fun experience
If you are a beginner in Python, you will realize as you go along the documentation that it is indeed a fun language to learn and use. As mentioned above, several top-rated businesses use Python because it gives them the competitive advantage that they need. Python is much simpler than C++, with dynamic connotations, and the ease with which you can do multiple programming paradigms.
Software development companies with knowledge in top-notch Python are in great demand, thanks to its automatic memory management feature (this helps in maintaining a huge library).
The author: Sascha Thattil works at Software-Developer-India.com which is a part of the YUHIRO Group. YUHIRO is a German-Indian enterprise which provides programmers to IT companies, agencies and IT departments.