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Vikram Aruchamy

Vikram is a passionate engineer who loves to learn, build and solve things using tech. He has nearly 15 years of experience in building real world software development and nearly 10 years of a professional programming with the full stack including AWS, Python, Java, Oracle Database, Oracle Apex, Postgresql. He is also an AWS Community Builder from May 15, 2021
Categories Python

How To Get Unique Values From a List in Python – Definitive Guide

Python lists allow storing non-unique values. You can get unique values from a list in Python using a set(num_list) statement. In this tutorial, you’ll learn how to get unique values … Read more →

Categories Python

How to Remove an element from a List Using Index in Python – Definitive Guide

Each item in the Python list will have an index through which it can be accessed. You can remove an element from a list using index in Python using the … Read more →

Categories Python

How to Check If A Value Exists in a List in Python (Speed Compared) – Definitive Guide

Python lists are used to store a list of values. You can check if a value exists in a list using the if item in list statement. In this tutorial, … Read more →

Categories Pandas Python

How To Read A Text File Using Pandas – Detailed Guide

Pandas allow you to read text files with a single line of code. You can read the text file in Pandas using the pd.read_csv(“sample.txt”) statement. In this tutorial, you’ll learn … Read more →

Categories Pandas Python

Get The Index of Rows Based on Column Value in Pandas Dataframe – Definitive Guide

Each row in the Pandas dataframe has an index. You can get the index of rows based on column value in Pandas Dataframe using df.index[df[‘column_name’]==value].tolist() statement. In this tutorial, you’ll … Read more →

Categories Pandas Python

How to Sort Pandas dataframe Based on Column Value – Definitive Guide

Pandas dataframe allows you to store data in rows and column format. You can sort pandas dataframe based on column value using the df.sort_values(by=[‘column value‘], inplace=True) statement. In this tutorial, … Read more →

Categories Pandas Python

How to Create Empty Dataframe With Only Column Names – Definitive Guide

Pandas Dataframe allows you to store data in rows and column format. You can create empty dataframe with only column names using the pd.DataFrame(columns = column_names_as_list) statement. In this tutorial, … Read more →

Categories Pandas Python

How to check if any value is NaN in a Pandas DataFrame? – Detailed Guide

When cleaning data for machine learning, you need to find if any value is NaN in the dataset. You can check if any value is NaN in pandas dataframe using … Read more →

Categories Pandas Python

How to Select Rows From Pandas Dataframe Based on Column Values? – Definitive Guide

Pandas dataframe allows you to store data in rows and column format. You can select rows from Pandas Dataframe based on Column values using df.loc[df[‘No_Of_Units’] == 5] statement. In this … Read more →

Categories Pandas Python

How to Select Rows from Pandas Dataframe Based on Condition – Definitive Guide

Pandas allow you to store data as rows and columns. You can select rows from Pandas dataframe based on conditions using df.loc[df[‘No_Of_Units’] == 5] statement. In this tutorial, you’ll learn … Read more →

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