How to learn Python?
To understand the huge role and breadth of use of Python in the world around us, you can just flip through the news.
What do they do in a 15-month course? In the first four months, the training covers the basics: the future developer is taught to understand data types, use various algorithms to solve certain problems, and only then the actual writing of the code in Python begins. This was followed by the writing of the first scientists of programs and the use of object-oriented programming. After fifty written programs, we are talking about more advanced stages of preparation.
How to learn it
Then the final third part begins - only 2.5 months. On it, the developer is taught to test the applications created by him - or others - using special frameworks, to create and use virtual machines for code execution. At the end of the training, a dozen mini-projects and one final large project will be completed, showing that now those who have completed the courses are capable of completely independent work.
Specific Python applications like Python can be very different. Due to the above-mentioned simplicity and high productivity, this language can now be found in the backend of web servers, that very part of the Internet hidden from the user's eyes. Equally, it is often used in the creation of neural networks or in scientific computing - especially those related to Data Science, since it is much easier to create programs that can quickly sift through large amounts of data in search of what you need in this language than in others.
Python and its role
To understand the huge role and breadth of use of Python in the world around us, you can just flip through the news. Here is an article published in Nature Astronomy, where astronomers urge colleagues "not to use Python." Why?
It's all about CO2: astronomers are concerned that the carbon footprint of a person in their profession is much larger than that of an ordinary citizen. After all, they often use supercomputers for their calculations. Meanwhile, the longer a program runs, the more energy the computer spends to execute it. From this, individual scientists began to recommend to colleagues to write in C ++.
Thanks to the the Python workshop PDF free download article, we can say with confidence that this will remain basically a good wish. And the word "good" here should be put in quotation marks. After all, each astronomer not only continuously contributes to the production of CO2 by our civilization - besides this, he, oddly enough, is still working. Having started writing in C ++, he will have time to write two to ten times fewer programs for his own purposes - that is, he will be less likely to publish scientific articles and receive grants for new research. The apparent energy efficiency of C ++ will inevitably result in a drop in labor productivity. Therefore, in life we will see the increasing spread of Python in all new areas of activity.
Actually, this is exactly what is already happening: in 2015-2020, the demand for full-stack developers in Python has grown (according to the Skill Factory course) by 2.27 times, and the average salary of developers in this language has reached 120 thousand rubles a month, even with one work experience. -two years. Today, the main problem remains not even the search for jobs proper, but the acquisition of relevant skills and knowledge: the training of such developers is still going on slower than the growth of market demand for them.