How to Use For Loops in Python | Learn Python Loops Step by Step

DataCamp · Beginner ·📐 ML Fundamentals ·2y ago

This Python tutorial for beginners will take you through some of the basics of two commonly used loops in Python–the for loop and the while loop. The topics covered in this video are: 00:00 - 00:35 Introduction 00:36 - 01:38 Using a for loop to iterate over elements of a list 01:39 - 02:16 For loops code explanation 02:17 - 02:59 Using a for loop to iterate over a range of numbers 03:00 - 03:25 Components of a for loop (useful jargon) 03:26 - 05:14 Real World Examples [Try it yourself!] Pre-prepared DataLab Workbook: https://bit.ly/4b4QEvd [More about Python] Python is the most popular programming language today and is widely used across verticals from software and web development, game development, data science, machine learning, and more. Learning Python is imperative for aspiring data scientists, data analysts, data engineers, and machine learning scientists. Subscribe to our YouTube Channel Read our cheat sheets! - https://www.datacamp.com/cheat-sheet Instagram: / datacamp Twitter: / datacamp Facebook: / datacampinc YouTube: / @datacamp LinkedIn: / datacampinc Website: https://www.datacamp.com/

Watch on YouTube ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from DataCamp · DataCamp · 0 of 60

← Previous Next →

SQL Server Tutorial: Date manipulation

SQL Server Tutorial: Date manipulation

R Tutorial: Intermediate Interactive Data Visualization with plotly in R

R Tutorial: Intermediate Interactive Data Visualization with plotly in R

R Tutorial: Adding aesthetics to represent a variable

R Tutorial: Adding aesthetics to represent a variable

R Tutorial: Moving Beyond Simple Interactivity

R Tutorial: Moving Beyond Simple Interactivity

Python Tutorial: Why use ML for marketing? Strategies and use cases

Python Tutorial: Why use ML for marketing? Strategies and use cases

Python Tutorial: Preparation for modeling

Python Tutorial: Preparation for modeling

Python Tutorial: Machine Learning modeling steps

Python Tutorial: Machine Learning modeling steps

R Tutorial: The prior model

R Tutorial: The prior model

R Tutorial: Data & the likelihood

R Tutorial: Data & the likelihood

R Tutorial: The posterior model

R Tutorial: The posterior model

R Tutorial: An Introduction to plotly

R Tutorial: An Introduction to plotly

R Tutorial: Plotting a single variable

R Tutorial: Plotting a single variable

R Tutorial: Bivariate graphics

R Tutorial: Bivariate graphics

Python Tutorial: Customer Segmentation in Python

Python Tutorial: Customer Segmentation in Python

Python Tutorial: Time cohorts

Python Tutorial: Time cohorts

Python Tutorial: Calculate cohort metrics

Python Tutorial: Calculate cohort metrics

Python Tutorial: Cohort analysis visualization

Python Tutorial: Cohort analysis visualization

R Tutorial: Building Dashboards with flexdashboard

R Tutorial: Building Dashboards with flexdashboard

R Tutorial: Anatomy of a flexdashboard

R Tutorial: Anatomy of a flexdashboard

R Tutorial: Layout basics

R Tutorial: Layout basics

R Tutorial: Advanced layouts

R Tutorial: Advanced layouts

Python Tutorial: Time Series Analysis in Python

Python Tutorial: Time Series Analysis in Python

Python Tutorial: Correlation of Two Time Series

Python Tutorial: Correlation of Two Time Series

Python Tutorial: Simple Linear Regressions

Python Tutorial: Simple Linear Regressions

Python Tutorial: Autocorrelation

Python Tutorial: Autocorrelation

R Tutorial: The gapminder dataset

R Tutorial: The gapminder dataset

R Tutorial: The filter verb

R Tutorial: The filter verb

R Tutorial: The arrange verb

R Tutorial: The arrange verb

R Tutorial: The mutate verb

R Tutorial: The mutate verb

R Tutorial: What is cluster analysis?

R Tutorial: What is cluster analysis?

R Tutorial: Distance between two observations

R Tutorial: Distance between two observations

R Tutorial: The importance of scale

R Tutorial: The importance of scale

R Tutorial: Measuring distance for categorical data

R Tutorial: Measuring distance for categorical data

Python Tutorial: Plotting multiple graphs

Python Tutorial: Plotting multiple graphs

Python Tutorial: Customizing axes

Python Tutorial: Customizing axes

Python Tutorial: Legends, annotations, & styles

Python Tutorial: Legends, annotations, & styles

Python Tutorial: Introduction to iterators

Python Tutorial: Introduction to iterators

Python Tutorial: Playing with iterators

Python Tutorial: Playing with iterators

Python Tutorial: Using iterators to load large files into memory

Python Tutorial: Using iterators to load large files into memory

SQL Tutorial: Introduction to Relational Databases in SQL

SQL Tutorial: Introduction to Relational Databases in SQL

SQL Tutorial: Tables: At the core of every database

SQL Tutorial: Tables: At the core of every database

SQL Tutorial: Update your database as the structure changes

SQL Tutorial: Update your database as the structure changes

Python Tutorial: Classification-Tree Learning

Python Tutorial: Classification-Tree Learning

Python Tutorial: Decision-Tree for Classification

Python Tutorial: Decision-Tree for Classification

Python Tutorial: Decision-Tree for Regression

Python Tutorial: Decision-Tree for Regression

Python Tutorial: Census Subject Tables

Python Tutorial: Census Subject Tables

Python Tutorial: Census Geography

Python Tutorial: Census Geography

Python Tutorial: Using the Census API

Python Tutorial: Using the Census API

R Tutorial: A/B Testing in R

R Tutorial: A/B Testing in R

R Tutorial: Baseline Conversion Rates

R Tutorial: Baseline Conversion Rates

R Tutorial: Designing an Experiment - Power Analysis

R Tutorial: Designing an Experiment - Power Analysis

R Tutorial: Introduction to qualitative data

R Tutorial: Introduction to qualitative data

R Tutorial: Understanding your qualitative variables

R Tutorial: Understanding your qualitative variables

R Tutorial: Making Better Plots

R Tutorial: Making Better Plots

SQL Tutorial: OLTP and OLAP

SQL Tutorial: OLTP and OLAP

SQL Tutorial: Storing data

SQL Tutorial: Storing data

SQL Tutorial: Database design

SQL Tutorial: Database design

Python Tutorial: Introduction to spaCy

Python Tutorial: Introduction to spaCy

Python Tutorial: Statistical Models

Python Tutorial: Statistical Models

Python Tutorial: Rule-based Matching

Python Tutorial: Rule-based Matching

Related AI Lessons

Paper Insights: Sobolev Training

Learn about Sobolev Training, a research topic in Physics-Informed Machine Learning (PIML), and its potential applications

Medium · Machine Learning

When Climate Is a Residual, You’re Pricing for a Past That No Longer Exists

Learn how causal machine learning reveals climate risk in mortgage credit models and why it matters for pricing

Medium · Machine Learning

L2 Distance was Giving Me Wrong Answers. Here’s the Metric That Fixed it.

Learn how to choose the right distance metric for your data science problem and avoid incorrect results

Medium · Data Science

From Correlation to Causation

Learn to distinguish between correlation and causation in machine learning to make more accurate predictions and understand the underlying reasons for patterns in data

Medium · Machine Learning

Chapters (6)

00:35 Introduction

0:36 01:38 Using a for loop to iterate over elements of a list

1:39 02:16 For loops code explanation

2:17 02:59 Using a for loop to iterate over a range of numbers

3:00 03:25 Components of a for loop (useful jargon)

3:26 05:14 Real World Examples

Advanced Data Structures and Problem-Solving Techniques