Python is one of the most popular programming languages today due to its simplicity and ease of writing complex programs.
For many, Python is an ideal programming language for those who want to learn how to program.
This programming language is used by major companies such as Google, Facebook, Instagram, and Spotify, and it is also used to automate tasks and processes easily and simply.
NASA, in collaboration with the NASA Center for Climate Simulation (NCCS), offers various Python programming courses aimed at training its personnel.
Basic Python Course for Programmers
NASA has launched a Python course for beginner programmers, which is available for free to the general public.
The accelerated course covers the basic concepts of the Python language and related tools for work. Participants will learn about data types, conditional statements, loops, functions, modules, the date and time module, and basic I/O with text files.
Participants are required to have the ability to program in another language (C, C++, Fortran, Java, Matlab, IDL, etc.). Participants are also expected to be able to manipulate a web browser, open a command prompt or terminal window, and edit text files. A Gmail account is required to access the course through Google Colaboratory. It is recommended to install the Anaconda Python distribution.
This course is a unique opportunity for those who want to learn Python and for those who want to improve their Python programming skills. Python is a powerful programming language, easy to learn, and used by major companies such as Google, Facebook, NASA, and Netflix.
Therefore, learning Python can open many doors in the job market, as it is a very popular language worldwide, and there is a high demand for Python developers.
The free Python course for beginner programmers offered by NASA is an excellent option for those who want to learn or improve their skills in the Python programming language.
It is also an opportunity for those who want to expand their knowledge in the area of artificial intelligence and machine learning.
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