Data Science using Python

2 min readAug 9, 2020

Programming language Python is very simple to learn and a super readable one. The scope of Python is spreading everywhere and it will be the future including from Machine Learning to automating simple things, It can be used anywhere in the world.

Now coming to the hottest area called Data Science. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. It is more related to data mining, ML and big data.

Here I am going to discuss big data analysis using 2 of Python’s most prominent libraries .

Pandas
Matplotlib

Pandas:- One of the most important libraries that are used in big data analysis. This was invented by Wes McKinney. He built it upon the NumPy module using python and C. This library is popular among most of the data scientists out there.

Matplotlib:- A python library used to visualise the data sets. This python library is also based on NumPy. This library provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK+.

My recent experiments on DataScience

Recently I made a hands on with Covid Cases dataset and visualized it as a graph.

The data for the number of covid cases in India till 27th July 2020 was collected from kaggle and I’ve used these datas using Python programming language. in the form of a .csv file.

I created a python program which used the data which was in the form of .csv file, the data was of Covid virus cases in India. The dataset was downloaded from kaggle. The datas I got was Till 27th of July 2020.

Steps to extract the data and to visualise the graph:-