What Can Be Done With Python?
DATA SCIENCE AND ANALYSIS (100)
Introduced in 1991, Python has been growing and evolving at an incredible pace and can be applied to almost any problem domain. Increasingly, and with the explosion in data science and machine learning, Python is proving itself to be one the main languages to use when implementing data science routines and algorithms.
Main tech giants such as Google, Dropbox, Mozilla and many more are using Python as part of their development process.
With modules such as Pandas and Numpy making data science and analysis relatively easy for developers with basic coding knowledge, Python has secured a reputation alongside more established programming languages such as R when it comes to performing data science activities.
Python isn‘t just restricted to data science and robotics, Python can be used by developers to create web or desktop applications that interact with back-end databases. Python is cross platform so can be run on many platforms.
Python, when coupled with a visualization library such as Bokeh, allows developers to ingest vast quantities of data and display this information in easy to read charts such as line graphs, geographical maps and pie charts.
RASPBERRY PI INTEGRATIONAND ROBOTICS
Sites such as www.instructables.com show you how program robots with a Raspberry Pi using Python.
Raspberry PI robots, powered by Python can be used for a multitude of use cases that and can serve as a fun introduction to computer programming.
Some example of the types of robots you can build using Python and the Raspberry Pi include, mouse controlled cars or mini web servers.
With Python and the Raspberry Pi, you can even write applications that integrate with Twitter whereby the Raspberry Pi will, for example, flash an LED or emit a sound based on hashtags that your Python code has identified!
Benefits of Python
With a treasure trove of introductory resources online, Python is a highly accessible language that is easy for new programmers to pick up. Python is also taught in colleges and universities around the world because it‘s easy enough to get started with.
Languages such as C++ often contain elements and constructs such as #include, void() main and so on, this can be intimidating for beginners and serves no real purpose for people that want to get into computer programming. For example, in the book “Hot to think C++” there are 13 paragraphs dedicated to explaining a “Hello World” program, whereas the Python equivalent only had two!
With an array of open source code libraries, package management and an ability to work across multiple platforms, Python is versatile and flexible meaning you can write many different types of application with Python. Need to build a web site, or undertake a data science project? No problem! Python can help you do all this and much more.