Publishing Online Books using Jupyter Book and GitHub Pages

In this beginner-friendly tutorial, we will learn how to publish online books using and . In this tutorial, everything will be discussed in detail. …

Exploratory Data Analysis using Python Pandas: A Tutorial

In this tutorial, we will learn about exploratory data analysis using Python Pandas. In exploratory data analysis, we analyze the input dataset to summarize its main characteristics. Sometimes, we examine the main features of the input dataset visually using different standard plots.

This is a beginner-friendly tutorial. Here, we assume…

Creating Professional Presentation using Markdown

In this tutorial, we will learn how to create professional presentations from a Markdown document. Creating good-looking professional slides using Markdown is very easy and less time-consuming. You don’t need to spend time on the design and layout of the slides.

We will use the following software:

  • Visual Studio Code…

In this tutorial, we will learn about the NetworkX package of Python. NetworkX stands for network analysis in Python. It is mainly used for creating, manipulating, and study complex graphs. This is the Part-I of the tutorial on NetworkX. The remaining tutorial will be posted in different parts.

Prerequisites: Basic…

Lambda and map() functions in Python

This is a tutorial on lambda and map() functions in Python. Here, we will consider Python3. We start with the lambda function, and then we discuss the map() function in Python. This tutorial will help to understand the concepts of lambda and map() functions in Python.

Lambda function

At first, we will…

List and dictionary comprehensions in Python

In this tutorial, we will learn about the list and dictionary comprehensions in Python. We will begin with list comprehension and then we discuss dictionary comprehension.

List Comprehension

List comprehension is an elegant way of creating a new list from an existing list. Let us understand Python’s list comprehension using examples.

Example…

Descriptive Statistics using Pandas: An Introductory Tutorial

In this tutorial, we will learn how to compute descriptive statistics using Python’s Pandas library. We use a well-known dataset in this tutorial. This dataset consists of several medical predictor (independent) variables and one target (dependent) variable, Outcome. …

Python Pandas DataFrame Tutorial for Beginners

This is a tutorial on Python Pandas DataFrame for absolute beginners. Pandas is a fast, powerful, flexible, and easy-to-use open-source data analysis and manipulation tool, built on top of the Python programming language. In this tutorial, we will use the Customers.csv file which can be downloaded from .

Here, we…

Solving linear programming problems (LPPs) using PuLP and Python

In this tutorial, we will learn how to solve linear programming problems (LPPs) using PuLP and Python. At first, we learn how to install PuLP. If PuLP is already not installed in your system, then you can use the following commands to install it.

For Ubuntu, run the following command…

In this tutorial, we will learn how to write a model for linear programming problems (LPPs) using Python API and solve the model using IBM Decision Optimization CPLEX (DOcplex) Modeling for Python on your computer with IBM ILOG CPLEX Optimization Studio. Here, we will assume that Python3 and IBM ILOG…

Dr. Soumen Atta, Ph.D.

Postdoctoral Researcher at Laboratoire des Sciences du Numérique de Nantes (LS2N), Université de Nantes, IMT Atlantique, Nantes, France.

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