The advantages of Python are also very prominent, such as it is easy to get started, the code is concise and efficient, and it has become a data analysis tool for many academic researchers and ordinary enthusiasts. So why should data analysts learn Python? Below we will introduce these contents to you.
# Obtaining data is the first step in data analysis. Without data, the work of data analysis is meaningless. (Recommended learning: Python video tutorial)
Of course, there are many ways for us to obtain data, but the best way is to use Python. Python can help us obtain data with its powerful functions . Of course, languages such as Java can also implement crawler functions, but Python is relatively simple to implement. Moreover, the learning cost of Java is too high, while Python is very simple. Let's take a look at Python's data analysis function.
So what is the scope of use of Python?
In fact, python provides users with a series of data analysis packages. Frequently used analysis packages include Numpy and pandas; in addition, it also provides users with some efficient tools needed to operate large data sets. use tools. The amount of data processed by the average enterprise is actually between tens of thousands and hundreds of thousands. When it comes to larger-scale data, ordinary people may rarely have the opportunity to process large-scale data. However, the processing of tens of thousands or hundreds of thousands of data may be the normal data processing of small and medium-sized enterprises and research institutions at present and even in the future. In the face of such a scale of data, Excel will be so slow that people want to smash the computer, and SPSS Although professional statistical software such as , R and R are relatively better, most people do not use them. In this case, Python offers an excellent choice.
Python’s advantages are very outstanding, especially in data cleaning. It has been praised by data analysts. First of all, in terms of data cleaning, Python is not only flexible and easy to use, but also highly efficient. Compared with Traditional statistical software has great advantages. Experienced data analysts all know that data cleaning is almost the most time-consuming in the entire data analysis project. Then there is reusability. The program has good reusability. It can be written once and run directly next time, which can greatly reduce the amount of repeated work. Of course, with the ability to link to other data sources, Python can easily connect to the Internet to send/extract data, and can also access data from almost all storage format documents, including text documents, Excel, pictures, and various SQL databases. In this way, data analysts can not rely on others to provide data in a specific format, greatly improving the ability to use data. Finally, Python has good scalability. Python has the ability to process small data to big data, and its functions other than data analysis are also very powerful. There is absolutely no harm in learning it.
We have introduced to you the reasons why you must learn Python in the data analysis industry. It is not difficult to find that Python is indeed a very practical skill. Therefore, being able to use Python proficiently can help everyone better perform data analysis work.
For more Python related technical articles, please visit the Python Tutorial column to learn!
The above is the detailed content of Why data analysts should learn python. For more information, please follow other related articles on the PHP Chinese website!

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于Seaborn的相关问题,包括了数据可视化处理的散点图、折线图、条形图等等内容,下面一起来看一下,希望对大家有帮助。

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于进程池与进程锁的相关问题,包括进程池的创建模块,进程池函数等等内容,下面一起来看一下,希望对大家有帮助。

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于简历筛选的相关问题,包括了定义 ReadDoc 类用以读取 word 文件以及定义 search_word 函数用以筛选的相关内容,下面一起来看一下,希望对大家有帮助。

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于数据类型之字符串、数字的相关问题,下面一起来看一下,希望对大家有帮助。

VS Code的确是一款非常热门、有强大用户基础的一款开发工具。本文给大家介绍一下10款高效、好用的插件,能够让原本单薄的VS Code如虎添翼,开发效率顿时提升到一个新的阶段。

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于numpy模块的相关问题,Numpy是Numerical Python extensions的缩写,字面意思是Python数值计算扩展,下面一起来看一下,希望对大家有帮助。

pythn的中文意思是巨蟒、蟒蛇。1989年圣诞节期间,Guido van Rossum在家闲的没事干,为了跟朋友庆祝圣诞节,决定发明一种全新的脚本语言。他很喜欢一个肥皂剧叫Monty Python,所以便把这门语言叫做python。


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

WebStorm Mac version
Useful JavaScript development tools

SublimeText3 Linux new version
SublimeText3 Linux latest version
