Smith JamesThe Python programming language is truly versatile. It is applicable in many areas of information technology, development and programming.
Automation
The most obvious challenge for Python is automation. The language will allow you to quickly customize workflows with the help of available libraries. Even novice programmers will not be difficult to master them, and then apply them in their work. Now you can forget about routine repetitive tasks by writing uncomplicated code for automation.
Web Scraping
To collect data from various sites, there is its own definition – web scraping. The process is most often used in their work by analysts of various profiles. But data today surround us everywhere, so it is necessary to collect them for specialists in many professions. And the tool to facilitate this process and offers a programming language Python. It is called a scraper – an automatic bot that is able to quickly and reliably copy a huge stream of data from sites and insert them into a table.
Realize scraper using Python is not difficult, and the benefits are enormous. Imagine no more manual collection and spending hours on end, everything is available automatically. Get millions of data points from the internet in just a few minutes and use it to your advantage. And if the stream is small, a scraper can complete the task in just a couple of seconds.
Data analysis and data science
The internet is filled with a huge flow of data, with users sharing some information with each other every second. Every even small company stores and constantly uses hundreds of terabytes of information. Many even equate the latter with oil for its value in today’s reality.
The Python programming language makes it possible to process, clean and visualize data. All this is available with the help of various libraries like Numpy, Seaborn, etc. It is also used for machine learning. Professionals who work in the field of data science use Python in running models that predict a certain response after analyzing the transmitted information.
Web Development
For backend work, Python has several good frameworks at its disposal. Django and Flask can be used to create a great server side site. But for the frontend you will need to turn to good old JS, HTML and CSS. The simplest of these is of course HTML, and when using CSS and JS, it’s easy enough to use Bootstrap so you don’t have to write code from scratch.
Machine Learning and AI
Machines are already fully capable of learning when performing automated analysis of a certain amount of data. At the same time, the need for programming is minimized in the process of machine learning.
Many libraries, such as Numby, PyTorch, Pandas, etc., are suitable for realizing such tasks. With their help you can easily perform all mathematical calculations, because they are able to do them automatically without human assistance. It will be enough to create an algorithm and everything is ready! All that remains is to analyze the obtained results and choose the optimal solution for further tasks.