Fundamentals of Python step by step
Table of Contents
∘ Python’s place in Data Science and machine learning
∘ Applications of Python
∘ Why We Use Python?
∘ Advantages
∘ Disadvantages
∘ Is Python Too Slow?
∘ Phyton and Matlab
∘ Who Use Python?
∘ Python has many development tools.
The Python programming language is a basic structure used for data science, machine learning, system automation, web and API development, and more. It is an objective-based programming language.
Since 1991, the Python programming language has been treated only as a complementary language for unnecessary programs. He even published a book called” Automate the Boring Stuff”.
However, in the last few years, Python has come to the fore as a first-class programming language in modern software development, infrastructure management and data analysis. No longer a backdoor builder for hackers, it has earned a reputation as a shining language in web application creation and key roles in system management, data analytics and machine learning.
Python’s place in Data Science and machine learning
Sophisticated data analyses have become the most important issues for it today. Python, on the other hand, has been the most convenient programming language for these situations. Many of the libraries in the Python interface are useful on machine learning and data science. In these areas, high-quality commands in libraries have helped the continuous development of machine learning libraries and other numerical algorithm libraries. And they continue to help.
Applications of Python
- Web and Internet development
- Scientific calculations and statistics
- Artificial intelligence
- Desktop interface development
- Software development
- Network interface
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