How to define FOR Loop in Python?

How to define FOR Loop in Python?

How to define FOR Loop in Python?

This recipe helps you define FOR Loop in Python

Recipe Objective

In python, sometimes we want that same function to be iterated on many values. So for this passing every value from the function may be a hectic task. We can do this by defining a loop

So this is the recipe on how we can define FOR Loop in Python.

Step 1 - Defining Loop

for i in [10, 20, 30, 40, 50]: x = i ** 19 print(x)

Here we have defined FOR loop which iterates on all the values passed in the loop. Here we have passed five values for the function. So it will perform the function passed inside the loop on the values. So the output comes as

All done!

Download Materials

Relevant Projects

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

Locality Sensitive Hashing Python Code for Look-Alike Modelling
In this deep learning project, you will find similar images (lookalikes) using deep learning and locality sensitive hashing to find customers who are most likely to click on an ad.

Multi-Class Text Classification with Deep Learning using BERT
In this project, we will cover in detail the architecture of a transformer used in natural language processing use cases. We will go through the key nlp areas in the pre-transformer stage like bow, word2vec...and then the origin and gradual refinement of transformers. Finally, we will study one of the most popular state of the art transformer models, called BERT and use it for text classification on a large dataset.

Loan Eligibility Prediction in Python using
In this loan prediction project you will build predictive models in Python using to predict if an applicant is able to repay the loan or not.

Ensemble Machine Learning Project - All State Insurance Claims Severity Prediction
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.

Machine learning for Retail Price Recommendation with Python
Use the Mercari Dataset with dynamic pricing to build a price recommendation algorithm using machine learning in Python to automatically suggest the right product prices.

Digit Recognition using CNN for MNIST Dataset in Python
In this deep learning project, you will build a convolutional neural network using MNIST dataset for handwritten digit recognition.

Expedia Hotel Recommendations Data Science Project
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.

Word2Vec and FastText Word Embedding with Gensim in Python
In this NLP Project, you will learn how to use the popular topic modelling library Gensim for implementing two state-of-the-art word embedding methods Word2Vec and FastText models.