Datawhale panda book has been published!

 Datawhale Open source  

contributor ：Datawhale The team

One 、 Original intention of open source

In the use of Pandas Before , Almost all large tables deal with problems with xlrd/xlwt and python Cycle to achieve , Although this has been able to fulfill almost all the needs , But its disadvantages are also obvious , One is speed , The second is that the reusability of the code is almost 0.

I have tried to learn sporadically in the past Pandas, But I have to say that this bag is too big , Every time I use it, I always feel that the blind feel the elephant , There are also many arguments for each function , The route of learning is not very smooth . If you just used it in your hand Pandas, So in the process of fragment learning , Error reporting is a common occurrence , And it's hard to fix （ Because I don't understand the internal operation ）, Even if it's fixed, it won't be next time , It's a bit frustrating .

Datawhale Open source tutorial 《Joyful-pandas》 That's why , I hope learners are using pandas No more pain when processing data . This tutorial lasted two years , Already in Github Get on 3.4k+Star.

Thank you for your support , Finally, there is a paper book .

Two 、 From open source to publishing

Open source from Li Mu 《 Hands-on deep learning 》, Qiu Xipeng's 《 Neural networks and deep learning 》, Until then Datawhale Of 《 Pumpkin book 》、《Easy RL： Intensive learning course 》、《pandas Data processing and analysis 》 published , Let knowledge return to the public , Let the public have the opportunity to contribute to the society like the industry elite , yes Datawhale The Exploratory Significance of open source content .

From open source to publishing , The income is not high , But getting open source contributors recognized by the public is an important part of the virtuous circle of open source , It will make the domestic open source atmosphere better , Let more people benefit .

If you also want to contribute to learners , You can join us to move forward ：Datawhale The seventh admission list of the team .

3、 ... and 、 Thank the teachers for their encouragement and support

thank Zhang Riquan 、 Chenhaiqiang 、 Huang Liqiang 、 Zhong Wei  4 The personal recognition and recommendation of a famous teacher in the field of data science and statistics .

pandas yes Python A core third-party library in the data science ecosystem . Use pandas, We can quickly 、 Effectively solve all kinds of data related problems in reality . This book gives a comprehensive explanation based on pandas Data processing and Analysis Technology , Combine theory with practice , It's learning pandas Excellent tutorial for .

 —— Zhang Riquan Dean of School of statistics, Department of economics and management, East China Normal University 、 professor 、 Doctoral supervisor

Python As one of the most popular programming languages in the era of digital economy , It is becoming a necessary technology for young students who are interested in the field of data science .“Joyful Pandas” yes Datawhale Open source projects in the community , It's also pandas The only official recommended Chinese tutorial , This book is further improved on the basis of this tutorial , Strengthen the combination of theory and practice , Yes Python It is beneficial for beginners and advanced people .

—— Chenhaiqiang Wang Yanan, Professor of Economic Research Institute of Xiamen University 、 Doctoral supervisor

Data analysis ability is gradually becoming a basic skill that learners should have in the wave of digital development . This book is divided into “ Basic knowledge of ”“4 Class action ”“4 Class data ” and “ The advanced combat ” Four major parts , Combined with simple and easy to understand code examples , cover pandas All core operations and features of , It is very suitable for data analysts to learn by themselves .

—— Huang Liqiang Professor, Department of data science, Zhejiang University 、 Doctoral supervisor

This is a very targeted tutorial , Rich in content and complete in structure , Detailed examples are also provided , It can be used as an introductory guide for systematic learning , It can also be used as a reference manual for immediate reference . It is different from the traditional pure lecture course , In addition to explaining the code , There are also many interesting questions and exercises , Heuristically guide readers to explore the details of programming . I believe this book will help readers start from scratch and fall in love with programming .

—— Zhong Wei Wang Yanan, Professor, Department of statistics and data science, School of economics, Xiamen University 、 Doctoral supervisor

Become pandas Chinese tutorial recommended by the official website

pandas The only Chinese tutorial recommended by the official website

The tutorial combs pandas Functions commonly used in , The logical relationship between functions is summarized as “ Basic knowledge of +4 Class action +4 Class data ” Module structure of , It shows the macro system of data processing , And for data analysis “ How to analyze ”“ How to deal with ”“ How to speed up ”3 Give solutions to three core problems .

At present, it is the first batch of release , At the lowest  5.0 fold   Discount purchase , attach Datawhale Exclusive discount poster , Remember to collect ！

Last , To thank all readers for their continuous support , stay Datawhale Send out 5 Ben 《pandas Data processing and analysis 》, It's still the old rule ： Comment area Leave a message and Like the top five Readers of Will send the book directly .