WHY SHOULD YOU LEARN PYTHON, WHATEVER YOUR PROFESSION?
The Python programming language always comes out in the TOP 5. Learning it goes beyond programming and technology, if not that it is also used in data analysis, machine learning, data science or others. It always appears in the TOP 5 programming languages. Learning Python goes beyond programming, a language used in data analysis, machine learning and other areas. In the TIOBE (The Importance of Being Earnest) rankings, it usually appears in third place, and the lowest place it has occupied was 13th, in 2001. It is one of the most demanded and recommended languages for different reasons: ease of use and learning, for example. Also, as discussed above, it goes beyond just programming and technology. Below we will see some reasons why we recommend learning Python, whether you are a programmer or not, or whether you want to integrate into programming or not:
To start programming.-
The main reasons are because it is said that Python is user-friendly, that is to say, easy to learn, use, understand or deal with easy-to-use software; pleasant, attractive, an environment that is easy to use... It is also quick to understand and it is considered that in about 6-8 weeks you can already learn what you need to get started. It is recommended to start with Python before Java as it is easier. Another reason is that you don't have to pay anything, it's free and it's done on your own.
Data science and machine learning.-
Libraries make application in data science or machine learning much easier. With Python and libraries such as Pandas, NumPy, SciPy and matplotlib it is possible to perform information analysis, data acquisition, cleaning, refinement, model generation and visualization of data obtained. Data science has a lot to do with big data, and it applies to the vast majority of current sectors (automotive, aeronautics, health, etc.). It can also be applied to sport or politics. This learning is related to artificial intelligence, which consists of all the work and reality of the machine, including learning and adapting to make its own decisions. Some of these applications are: the detection of financial fraud, the setting of prices or the personalization of customer profiles.
Automation.-
Automation features are added to Python such as: taking advantage of scripting code and generating tools to perform tasks. You can also manage databases or the administration of networks or servers, all this to write in minutes.
Many possible exits.-
What can we do with this programming language? Web development, software development, system administration, etc. Libraries and frameworks (working environment) such as Django and Flask, which facilitate the development of applications or programs, also stand out.
