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This article mainly introduces the relevant knowledge of "what is the Python data analysis library". The editor shows you the operation process through the actual case, and the operation method is simple, fast and practical. I hope this article "what are the Python data analysis libraries" can help you solve the problem.

1. What is data analysis?

A series of processes such as data acquisition, cleaning, modeling, analysis, decision-making, etc. In addition, big data analysis is more valuable, the salary of big data analysis engineer is amazing.

two。 Why do you study data analysis?

Now we are in a DT era (data time), the analysis and processing of massive data will help us to make the right decision.

3. Employment prospects based on data analysis

Finance, Economics, Statistics, Advertising, Network Analysis, Marketing programs, Neuroscience

4. Data analysis process

Determine Project > > make Plan > > data Collection > > data cleaning > > Modeling > > Analysis > > Visualization

5. Introduction of data analysis related database.

Science Computing package: numpy

Data analysis library: pandas provides a large number of data structures and functions that can quickly and easily deal with structured data, which is an important magic weapon that Python can become a powerful and efficient data analysis environment.

Drawing: matplotlib this is the most popular Python library for drawing data charts, which can be well combined with Python, so it provides a very easy to use interactive data drawing environment, and the charts drawn are also interactive.

6. Learning environment

This paper mainly introduces two IDE environments, Pycharm and Jupyter. In fact, these two IDE have a variety of advantages. Let's see that we like to use that environment. Our system tutorial will be interspersed with two IDE to learn.

Pycharm

Learning environment we continue to use Pycharm to learn Python data analysis, here we first go to install three libraries Numpy,Pandas,MapPlotlib three libraries, how to install, own Baidu! Why do you choose Pycharm to do data analysis, mainly because we all use this tool, we are more familiar with this tool, and this tool is also more user-friendly, which can fully meet our learning needs.

There is no longer too much description of the use of Pycharm, we focus on using Jupyter to learn data analysis.

Jupyter

This is a browser-based IDE, but also very convenient to meet our needs.

Installation: pip install jupyter notebook

Enter in the terminal or console:

Launch: jupyter notebook then prompts you to open a browser

Tips:

1. If you select which one, you can run the current section code directly.

two。 If you want to call that function, you can press tab to complete the function you want to use.

Let's take a look at the screenshot to briefly introduce the use of jupyter.

This is the end of the content about "what is the Python data analysis library". Thank you for your reading. If you want to know more about the industry, you can follow the industry information channel. The editor will update different knowledge points for you every day.

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