Category: Python

  • Linear Regression: Data Forecasting in Python

    Introduction to Linear Regression What is a linear regression?, Linear Regression is a statistical method to calculate the relationship between a two or more variables. The variables comes in two types, one is dependent variable and another is independent variable. In linear regression, we use independent variables to derive dependent variables. We will see examples…

  • How interpreted language works?

    Introduction to interpreted language An interpreted language is a type of programming language in which most of the instructions are executed directly, line by line, by an interpreter at runtime, rather than being compiled into machine code beforehand (like in compiled languages). Key Features of an Interpreted Language: Examples of Interpreted Languages: Interpreter vs. Compiler: Example: In Python (an interpreted…

  • Forecasting Made Easy with Facebook Prophet

    Introduction to Facebook Prophet Facebook Prophet is an open-source forecasting tool developed by Facebook. It can make accurate forecasts on time-series data. Even when dealing with seasonality, holidays and other patterns which are common in real world. This is particularly useful for business forecasting such as predicting sales or stock demand. How It works It…

  • Simple Moving Average in Python: Easy Guide

    Introduction to Simple Moving Average The Simple Moving Average (SMA) is a widely used statistical measure for finance and data analysis. We can calculate the average of a set of data points over a specified period of time while giving equal weight to each data point. The Simple Moving Average is commonly used by stock…

  • Python dictionary comprehension

    Introduction to Python dictionary comprehension Python dictionary comprehension is a concise and an efficient way to create dictionaries. It allows you to construct a dictionary from an iterables. Such as a list, string or a tuple by just applying a condition on it. It is very similar to the list comprehension but it is specifically…

  • How to use a Python decorator?

    Introduction to a Python decorator A Python decorator is a design pattern that allows you to add or modify functionality to functions or methods without changing their actual code. Decorators are functions that take another function as an argument and extend or alter its behavior, returning a new function with the enhanced functionality. Decorators are commonly…

  • What are Python namespaces?

    The Python namespaces are container that holds a collection of variable names (identifiers) and their corresponding objects (values). It is essentially a mapping between names (such as variables or functions) and objects in Python.

  • How to use lambda in Python?

    A lambda in Python refers to an anonymous, small, and simple function that can have any number of arguments, but can only have a single expression.

  • What are Python Negative indexes?

    Introduction to Python Negative indexes In Python, negative indexes allows you to access elements of sequences (like lists, tuples, or strings) from the end of the sequence, rather than from the beginning. This is a convenient feature because it lets you easily refer to elements at the end of a sequence without needing to know its length. How Negative…

  • Why do we use join() function in Python?

    The join() function in Python is a string method used to concatenate (join) a sequence of strings (such as a list, tuple, or other iterable) into a single string