Python — Programming with ease.
Ep -2
As we have seen in the previous story the birth and emerging period of python
if you have not gone through it, here you go
https://medium.com/@junaidapj/python-multifunctional-swiss-knife-8e190462f28a
This section deals in detail on how programming(Python) is extensively and effectively used for its major applications.
- Web Applications
Python, a lead runner in building web applications since the downfall of popular web languages like PHP. A lot of Data-centric applications over the web have been built on Python. The handling of data which is one of the best parts of python is used here. The collections and files in Python are helpful for easily managing lots of data, with very less complex code and ease.
As in Java, for building a web application, as we need to use JSP, Springs or any latter frameworks, Python has also been in usage of a web framework along with its code for web development. The popularity of these frameworks include Django and Flask. Python accompanied by these frameworks can build awesome web-based applications.
Some of the notable works which are produced using python include Youtube, torrents, Google, Dropbox. A common and yet effective part of these applications is they hold lots of data and at the same time handle such loads of data with unmatchable speed (compared to other popular languages).
Python has also got the integration to most of the popular databases in the current industry viz, MySQL, Postgres, SQLite, Oracle, MongoDB.
2. GUI applications (Desktop applications)
A lot of popular languages maybe not so better at building Desktop applications, which do not need network and browser to get accessed, rather they are built for Desktop. The only con of such applications being, they can’t be accessed remotely from a different machine and hence data is not global generated through these kinds of applications.
Python finds its best way to build these applications, using its very own GUI UI provided by the frameworks /libraries that help in making these applications with a lot of flexibility and better User experience than when built with other languages in use.
Python uses Tkinter for GUI applications or PyQt4 can also be used on the same lines for the same purpose.
3.Automation for DevOps / Cloud (AWS)
Python can be employed for having scripts written for the automation of various tools in DevOps which include purpose from automation of machine/instance to set CI/CD pipelines for various projects using DevOps.
Scripts can also be written for simple automation to be done on AWS machines using the infamous Boto package in python. Boto supports numerous services automation for AWS using its API in python which varied across Compute services, Database services, Content Delivery services and many more close to 52 services.
4. SciScientificmputing
A very popular domain in the current times, scientific computing comprises the 70% use of python language among all the other domains.
As the most exclusive feature of python lies in handling the large chunks of data, it can be used for advanced computational techniques comprising machine learning algorithms, deep learning techniques, neural networks and many more. Python with its most powerful external libraries like NumPy, Pandas, PIL, CV2, NLP and the list is infinite.
The close competitors for Python for this domain consists of R programming language, MATLAB, C++, and Sass. of all the mentioned languages Python gained popularity due to its cross-domain usage, easy coding style and most of everything because its free, unlike MATLAB, Sass which come only with a paid version.
One needs to have a sound knowledge of Statistics and Linear Algebra for making algorithms work with data where advanced computations are carried out.
The most popular use of scientific computing in the real world account for applications built for :
- Face Recognition
- Image processing
- Market analysis and predictions
- Finance / Banking data estimations
- Recommender engines
and lots more…
Python Programming Ep-3
