Programmer Think

Last weekend, we received a 1200 order. The customer service took a 10% commission and got 1000. It was completed in two hours. I was very happy. In fact, there are not many such orders. The technical difficulty is low, but the price is high. We commonly call them "fish picking list". Thinking of making money, I invited the goddess to ...

(I) pandas Foundation 1, Introduction to pandas Python Data Analysis Library Pandas is a tool based on NumPy, which was created to solve the task of data analysis. Pandas incorporates a large number of libraries and some standard data models, providing the tools needed to operate large structured data sets efficiently. 2, pandas core data s ...

catalogue 1, Definition of RFM analysis: II. Assumptions of RFM analysis 3, Steps of RFM analysis 4, RMF analysis example 4.1 data preparation 4.2 calculation of R/F/M 4.3 score and assign R, F and M in groups 4.4 calculate the comprehensive score of RFM 4.5 customer classification Note: personal study notes - who says rookies can ...

A few days ago, I saw a python framework win10toast, which can be used to do the message notification function of windows. Some event notification functions can be realized by setting the notification interval. For example, it can remind us to drink water on time. Go to the end of the article to get the source code > > > The interf ...

Video source P1 getting started with Excel P2 table design & automatic summation function Application of P3 frozen table column & split window P4 data sorting P5 data screening P6 format as table & cross analysis filter table P7 set the conditions for formatting the table P8 worksheet setting & consolidated calculati ...

1, Write in front It comes from the study / work needs of two readers. Coincidentally, the needs of these two readers are about batch merging sheet s (information needed for retrieval). The data style used in this paper can be disclosed with the consent of the reader. The data in the file is generated by the Rand function in Excel to ensur ...

Introduction: logistic regression is a very common means of classification. It belongs to probabilistic nonlinear regression, which is divided into two classification and multi classification regression models. For binary logistic regression, the dependent variable y has only two values of "yes" and "no", which are recorded ...

1, Introduction Hello, I'm sailing. The content shared today is based on Python programming to realize the development of stock trading related functions. If readers do not know much about stock or financial derivative trading and are more interested, they can query relevant materials by themselves. Next, the author will introduce several com ...

brief introduction This article will explain the basic data types Series and DataFrame in Pandas, and explain in detail the creation, indexing and other basic behaviors of these two types. To use Pandas, you need to reference the following lib: In [1]: import numpy as np In [2]: import pandas as pd Series Series is a one-dimensional ...

python visual chart analysis -- the use of pyecharts Library preface pyecharts Official website https://pyecharts.org/ Simple API design, smooth use, and support chain call Includes 30 + common charts, everything Support mainstream Notebook environment, Jupyter Notebook and jupyterab It can be easily integrated into mainstream Web framework ...