Hello everyone, I am Qian Xun, you can call me Qian Xun, my main programming language is Python and Java.
When it comes to the Python programming language, the use of the Python language is mainly used by practitioners in the field of data science.
The reason why the Python programming language is very hot in the field of data science comes from the three major data science work packages of the Python language, NumPy, Pandas, and SciPy.
The following is a brief description of the functions of the three toolkits.
NumPy: NumPy is one of the most commonly used numerical computing libraries in Python. It provides an efficient multidimensional array object and functions for manipulating arrays, making numerical calculations in Python easier and more efficient.
Pandas: Pandas is a powerful and flexible data analysis tool that is widely used for data cleaning, organizing and processing. Pandas provides a wealth of data manipulation and conversion functions, which can perform operations such as data selection, filtering, aggregation, and merging to facilitate data preprocessing and analysis.
SciPy: SciPy provides many modules and submodules, including functions and tools in the fields of linear algebra, numerical integration, optimization, signal processing, image processing, statistics, and more. It is often used in data analysis, numerical computing, scientific computing, and machine learning.
For practitioners in the data science industry, mastering the three major data science toolkits of pandas, numpy, and scipy is the most basic skill