Tag: python
What are Linters and Fixers for Python?
Linters are code writing tools that analyse the source code and detect programming errors, style flaws, bugs and suspicious code. Fixers, as the name...
An Overview of the Python Data Analysis Library
Pandas is a cross-platform library (abstraction) written in Python, Cython and C by Wes McKinney for the Python programming language. It is used for...
Plotting Air Quality Index Data on a Map Using Python
Rising air pollution levels in cities around the world are a matter of concern. This script uses two Python libraries — Pandas and Folium...
Using Python to Predict Sales
Sales forecasting is very important to determine the inventory any business should keep. This article discusses a popular data set of the sales of...
Orange: The Programming Software for Machine Learning and Data Science
The demand for machine learning engineers and data scientists has increased exponentially over the years. This is justified because machine learning is being applied...
Python Libraries for Data Science Simplified
The typical life cycle of a data science project involves jumping back and forth among various interdependent data science tasks using a range of...
Deploying a Flask App on Heroku
Heroku is one of the most popular PaaS platforms in the market, specifically targeted towards developers who are about to start their journey in...
Creating a Very Basic Chatbot in Python on Telegram Messenger
The Internet is full of articles about building chatbots on platforms like Telegram. However, in this article, readers get some insights on how to...
Using Python DataFrames for Advanced Database Applications
A DataFrame is a two-dimensional structure in which data is arrayed in labelled rows and columns. Pandas is a specialised Python library used effectively...
Data Visualisation: Using Python for Machine Learning and Data Science
Data visualisation techniques have a significant role in the representation of data in a pictorial or graphical format. This article takes a quick look...













































































