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Discover Latest #Python News, Articles and Videos with Contenting
1. Python Programming: What You Need to Know Python is a powerful, high-level programming language created by Guido van Rossum in 1991. It is used for a wide range of applications, from web development to data science. Python is easy to learn, simple to use, and can be used for both large and small projects. In this article, we'll cover the basics of Python programming and give you the tools you need to get started.
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Will my apartment in 5th avenue be overpriced or not? Harnessing the power of www.techtonique.net (+ xgboost, lightgbm, catboost) to find out | R-bloggers
How to make API calls to techtonique.net (and xgboost, lightgbm, catboost) for conformal machine learning regression tasks using curl, curlconverter.com, Python requests
How to Apply Joins in Pandas - DataFlair
Get Job-Ready: Data Analysis using Python with 70+ Projects Start Now!! Program 1 # Advance Data Analysis #Join in DataFrame import pandas as pd df1=pd.DataFrame({'empname':['rahul','vijay','dipesh'],'Age':[45,43,54]}) df2=pd.DataFrame({'empname':['rahul','vijay','amit'],'Salary in lakhs ':[23,33,28]}) print(df1) print("----------------------------------------") print(df2) print("-------------------------------------------") #...
How to Apply Filter in Pandas - DataFlair
Get Job-Ready: Data Analysis using Python with 70+ Projects Start Now!! Program 1 Pandas Dataset # Filter in Python import pandas as pd myfile="D://mypandas/employee2.xlsx" df=pd.read_excel(myfile) #print(df.loc[(df['totalsalary']>10000)]) # and & or | not ~ #print(df.loc[(df['gender']=='male')...
Properties of Dataframe in Pandas - DataFlair
Get Job-Ready: Data Analysis using Python with 70+ Projects Start Now!! Program 1 # Property of DataFrame # index , columns ,size, ndim,shape,value, memory_usage(),empty import pandas as pd data=[(1,'vivek',8000),(2,'vikas',38000),(3,'rahul',78000),(4,'rajesh',55000)] df=pd.DataFrame(data) print(df) print(df.empty) print(df.memory_usage()) #...
Slicing Pandas Dataframe - DataFlair
Get Job-Ready: Data Analysis using Python with 70+ Projects Start Now!! Program 1 Pandas Dataset #Slicing in DataFrame import pandas as pd myfile="D://mypandas/employee.xlsx" df=pd.read_excel(myfile) #df[start:stop:step] #print(df[['empname','totalsalary']]) #print(df[1:11:2]) #print(df[['empname','totalsalary']][1:11:2]) #print(df.head(3)) #print(df.tail(4)) # print(df.columns) # print(df[['empname','totalsalary']])...
Sorting in Pandas - DataFlair
Get Job-Ready: Data Analysis using Python with 70+ Projects Start Now!! Program 1 Pandas Dataset # Sorting import pandas as pd myfile="D://mypandas/employee.xlsx" df=pd.read_excel(myfile) #print(df) #print(df.sort_index(ascending=True)) #print(df.sort_values(['empname'],ascending=False)) #print(df.columns) #print(df.sort_values('totalsalary')) Program 2 # Duplicate import pandas...