In the digital universe there are different programming languages , but in recent months there is one that seems to stand out from the rest: Python. Driven by the growth of data science, machine learning and artificial intelligence, this language is the third most popular in the world, according to the TIOBE index. It is also being one of the most demanded languages ??by companies, according to a recent report by Hired, one of the most relevant technical job search marketplaces. So it is not risky to say that learning Python will open the doors to a booming professional sector.
WHAT IS PYTHON?
Python is a dynamically typed interpreted programming language. It is multiparadigm , open source and supports multiplatform operating systems , which gives it great versatility, standing out for its clean and easy-to-read code. Large companies such as YouTube, Netflix or DropBox use it to improve their functionality, customize their algorithms and boost their machine learning infrastructure.
WHY IS LEARNING TO PROGRAM IN PYTHON A GOOD IDEA?
Learning to program in Python from scratch is relatively easy thanks to its similarity to the English language. Specially designed to be easy to understand and use, it has a clean and consistent syntax . That makes it the ideal language if you are starting to take your first steps in programming. In addition, being open source, it has a wide library of modules contributed by the community that greatly expand the programming possibilities.
Its versatility, scalability and adaptation to different operating systems allow a great variety of developments in an easy, fast and agile way, which has opened the doors in different fields. The Python programming language allows you to create from interactive video games to web and mobile applications, as well as commercial or audio and video applications, among others.
However, the popularity of this language is due in large part to the growth of data science and machine learning. The Python programming language not only makes it easy to collect and classify large data sets, but it also allows you to automate processes and prepare dashboards. It is also very useful in the machine learning environment for classification, regression, clustering, preprocessing, and algorithmic modeling.
All this makes programming in Python have multiple professional opportunities. You will be able to work as a Python developer in any type of company, be it programming websites and applications, optimizing their data algorithms or implementing security and protection measures. You will also be able to work as a data analyst, a profession that is increasingly in demand by companies of all sizes and sectors, from those engaged in recruitment to those that operate in the health, marketing, finance or industry sectors. even education.
HOW TO QUICKLY LEARN PYTHON FROM SCRATCH?
It is not difficult to learn Python. However, if you have never programmed before, you will have to start with the general programming concepts common to most languages. So you can learn to think like a Python programmer . That means you will have to master concepts such as variables, data types, functions, conditional operators, and loops.
When you understand these basic ideas, you can delve into the concepts of object-oriented programming that Python uses to start designing and structuring your code. Then you can move on to concurrent and parallel programming, as well as socket programming, so that you not only write the code on your computer, but also communicate with other machines over a network. The last step is learning how to write efficient code that runs quickly.
There are different courses to learn to program in Python that you can follow remotely. In our Python Online Course we will guide you with a flexible methodology, illustrative videos and real business cases . When you’re done, you can implement small Python programs and troubleshoot code. You will be able to learn more advanced Python applied to fields such as data analysis, visualization or web development.
And if you want to continue advancing in your professional training, you can enroll in these courses:
- UNIVERSITY EXPERT COURSE IN BIG DATA ONLINE
- SQL ONLINE UNIVERSITY COURSE