Python development has taken over the developing space. In fact, it’s everywhere. Ask any coder and they’ll tell you that it’s easy to learn and it's often the right tool for the job.
The programming language is also quite popular among data scientists and startups. That can give you an idea of how prevalent it will be in the near future. Python is a Top 5 coding language because it’s extremely logical and light.
Further, installation programs like the Anaconda can do some amazing things with various operating systems (OS). Python has the added benefit of being a clean and simple syntax with massive community run library (NumPy, Pandas, SciPy, etc.).
This means that beginners and seasoned veterans alike will have access to millions of lines of code that can be easily borrowed from the best programmers (in the world) and used by anyone. So what are some of the cool things you can do with Python?
1. Python Code for Web Development
As Python is an Object Oriented (OO) language, so anyone starting out will find it easy to play along with OO concepts. More seasoned coders will be able to use it for Machine Learning (ML) algorithms and analysis as well as Big Data research and analytics.
When it comes to web development, it’s a great option because you have a ton of choices like Django and Pyramid to work with. So you can build a cool website from scratch without feeling overwhelmed. You can also take advantage of micro-frameworks like Flask and Bottle.
Advanced content management is also possible with systems like Django CMS and Plone. Further, Python’s standard library and web frameworks support several internet protocols like HTML, XML, and JSON.
2. Scientific and Numeric Computing
Data analytics basically falls under scientific and numeric computing. To build something in this niche, you can take advantage of SciPy for mathematics, engineering, and science. Pandas is also a data analysis and modeling library, so there’s a lot going on with Python within data science.
If you need to edit and recode a work session, you can use IPython which is a powerful interactive shell. It also supports parallel computing and visualization.
3. Function Decorators Allow Enhanced Functionality
Function decorators are quite neat in Python as they allow you to enhance the functionality of existing functions. So this can be translated into both web development and data analytics.
4. Machine Learning (ML)
Cool stuff like finding fingerprint identifications, predicting stocks, and spam detection can all be achieved with ML. Coders can set this up by taking advantage of Python modules like Scikit-learn, Tensorflow, and Theano to support it. Besides, Python is great for DIY projects.
5. Browser Web Application Automation
You can also use Python to do cool things like automating your browser to do social media posts. This can be done by using Selenium with Python source code.
6. Python Makes Robotics Possible
Python can be used to code a Raspberry Pi to function as the brain of a robot. By doing this you can get the robot to react to its environment and perform multiple actions.
These six cool things made possible by this programming language is just a fraction of what you can do with it. Python’s recent 3.6 release has new features in the asyncio module (which is no longer provisional with a surprisingly stable API), formatted string literals, and the addition of a file system path protocol.
Further, python libraries which are the new JIT compiler helps to accelerate CPython by boosting its stock interpreter. This is achieved with a JIT API from CoreCLR project (Microsoft).
The language is also evolving fast within the data science space. The Python ecosystem is now full of data science tools, so a lot of the data science work that’s currently taking place is being done with open-source tools like Python.
Because it’s easy to learn, there’s also a growing segment of non-programmers learning and using Python’s data science tools. This changes the whole dynamic of the average Python user.
What do you think? Please share your thoughts in the Comments sections below.