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Tag: Tutorials

Python Tutorials – 1.6 – Class and Instances

Posted on October 19, 2017 by Aritra Sen
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Python Tutorials – 1.5 – Numpy

Posted on October 11, 2017 by Aritra Sen

Numpy is the short form of ‘Numerical Python‘. This is one library you should learn if you are interested in Data Science with Python. The core of Numpy is it’s N-Dimension Array which is similar to List but has many advance over List like – More compact. Faster access in Reading and writing items. Ease…

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Python Tutorials – 1.4 – Sorting List , Tuple , Dictionary & Zip Function

Posted on September 25, 2017 by Aritra Sen

In this tutorial we will look into the code – to do sorting on different Python objects. Also we will look into use of Zip function and how this function can be applied to the dictionary to get the min , max and sort by key/values.  

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Python Tutorials – 1.3 – Functions , Scope Of Variables , Lambda Functions

Posted on September 25, 2017 by Aritra Sen

In Python we have many built-in functions like print() , len() but we can define our own reusable functions which can perform user defined set of operations. How to define a function: function definition starts with def keyword and followed by function name & () Within the () we write the input parameters. Followed by :…

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Python Tutorials – 1.2 – DataTypes Conversion and Loops

Posted on September 23, 2017 by Aritra Sen

When you are playing with data , you will come across with the situations when you need to do datatype conversion , there are several built in functions which can help us perform this activity. Below , I have given few examples – Whenever you want to run a block of code again and again…

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Python Tutorials – 1.0 – Getting Started

Posted on September 18, 2017April 26, 2019 by Aritra Sen

This would be a series of tutorials where I will share and increase my knowledge for Python. May be if it goes well , I will be share my small knowledge of Data Science which I gathered so far. Why Python? Python was developed by Guido Van Rossum. Python is a general purpose – open…

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