In this blog, I have shared, how to handle missing values in Pandas.

1. What it missing value? Why it is occurs?

The concept of missing values is important to understand in order to successfully manage data. If the missing values are not handled properly, then we may end up drawing an inaccurate inference about the data. …

By default the python operators (+, -, *, /, **) operate element-wise (except matrix multiplication). To work element-wise it is important that the shapes match. At this position broadcasting is important. It mean, when the shapes do not match, numpy try to match them with broadcasting.

In this blog, I…

In this article, I have shared how to manipulate time in Python.

A Python program can handle date & time in several ways. Converting between date formats is a common chore for computers. Python’s time and calendar modules help track dates and times.

1. What is Tick?

Time intervals are floating -point numbers in…

Mongodb is a document-oriented NoSQL database used for high volume data storage. In this blog I have shared how to create database connection with MongoDB using python.

One can download a free MongoDB database at

What is NoSQL?

NoSQL is not a relational database. It provides more flexibility since all records are…

When it comes to storing, reading, or communicating data, working with the files of an operating system is both necessary and easy with Python. Unlike other languages where file input and output requires complex reading and writing objects, Python simplifies the process only needing commands to open, read/write and close…

In this blog, I have shared some important facts of Python in the form of question and answer.

1. Is Python interpreted or compiled? Are there ways to compile the code?

First we understand the difference between Interpreted vs Compiled Programming Languages:

What’s the Difference? … In a compiled language, the target machine directly translates the program. In an interpreted language, the source…


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