I heard that you don't know what python is? Take you in-depth understanding of what is python

foreword

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what is python

Python is an object-oriented, interpreted high-level programming language with concise, clear, and easy-to-read syntax, and is widely used in the fields of web development, data science, and artificial intelligence.

Python's design philosophy emphasizes readability and simplicity. Because Python code is particularly readable, in many fields, the efficiency of developing and maintaining applications using Python is very high, so it is widely used. At the same time, Python also has a huge community and excellent third-party libraries and frameworks, which can facilitate the development of various tasks and projects.

The origin of python

When many people hear the word python, the first thing that comes to mind must be python, so why is python called python (python)? We'll have to ask the big guy about that - Guido van Rossum

Guido van Rossum created Python to solve the problems he faced at the Amsterdam Institute (CWI). At that time, CWI's IT system did not have a development language that could complete various tasks, and each development language had some limitations and defects, which annoyed Guido. So he set out to design his own programming language to better solve these problems. During the Christmas period of 1991, he completed the first version of Python, and named it after a comedy group called Monty Python in his favorite TV series "Monty Python Flying Circus". It was promoted within CWI, and it was quickly recognized and used by everyone. Since then, Python has grown in popularity and has become a programming language that has taken the world by storm, being used in web development, data science, artificial intelligence, and many other fields. ,

Why should we learn python

According to the programming language rankings for the six months of 2023, it is not difficult to find that no matter how the rankings of other languages ​​change, python has always occupied the first position. From these data, we can see the popularity of the python language.

So why is python so popular? This depends on its following advantages:

1.Python is an easy-to-learn language, and its syntax is very concise and clear. For beginners, it is easy to grasp its basic syntax and programming principles.

2. Python has a strong development community and a wide range of application scenarios, which can be used for data analysis, web development, scientific computing, artificial intelligence, etc., involving a wide range of fields.

3. Python has good portability and can be used on various operating systems and platforms. Whether it is Windows, Linux or MacOS, Python programs can be run.

4. Python has a wealth of third-party modules and libraries, which are convenient for developers to use and more widely used.

5. Python is highly customizable, and through various modules and tools, more complex and advanced programming tasks can be performed.

More importantly, python has a wealth of data processing libraries and tools: Python has a wealth of data processing libraries and tools, such as Numpy, Pandas, Matplotlib, Scikit-Learn, etc. These libraries can help developers quickly process and visualize data and analysis. Today we are in the era of big data, and we are in contact with big data all the time, so the processing of data has become particularly important.

A website to help python learning

1. Python official website: https://www.python.org/ - The official website provides Python downloads, documentation, tutorials and other resources.

2. Python Tutorial: https://docs.python.org/3/tutorial/ - The official tutorial provided by Python, suitable for beginners.

3. Python standard library: https://docs.python.org/3/library/ - The Python standard library is a collection of built-in functional modules in Python, providing a wealth of functions and tools.

4. Python Package Index (PyPI): https://pypi.org/ - PyPI is a package index for Python where you can find thousands of third-party libraries and tools.

5. Python commonly used libraries and frameworks:

   • NumPy: A library for scientific computing and numerical operations. Official website: https://numpy.org/
   • Pandas: A library for data analysis and manipulation. Official website: https://pandas.pydata.org/
   • Matplotlib: A library for plotting and data visualization. Official website: https://matplotlib.org/
   • Django: A high-level Python framework for web development. Official website: https://www.djangoproject.com/
   • Flask: A lightweight Python framework for web development. Official website: https://flask.palletsprojects.com/