Generate Random Numbers | Python Tutorial for Beginners | Coding Interview Questions & Answers
Key Takeaways
The video demonstrates how to generate random numbers in Python using the random module, covering four different use cases and methods such as random, uniform, randint, and randrange. It also explores generating a series of random numbers using the sample method.
Full Transcript
look at some point when you are doing real life projects in Python you need to Generate random numbers for some specific work there are quite a few ways to do this and here we will discuss four different ways of generating random numbers depending upon various use cases that you may come across for generating random numbers python has an inbuilt module called random so right at the onset we are importing it as first use case let's say you want to print a single random value which is a float between zero and one uh for that we use uh the random method let's run this and as you can see we get a float between 0o and 1 uh using this method random moving on to the second use case let's say you want to print a float between a specific range let's say 1 and 100 for that we use the uniform method let me run this and as you can see we are getting a float value but this time between 1 and 100 as third use case let's say you want to print a random integer this time again in a specific range for that we use uh the method Rand in let me run this and as you can see we are getting uh a random integer this time between the specified range if I run it again again we are going to get a different random integer moving on let's say our use case is to uh generate a random number in a range with incremental steps for that we use the Rand range method it has start which is this a stop which is this and the step we can use this to print random uh even or odd numbers in a given range for example let's say we want to print even numbers uh between 0 and 100 in that case I'll Define my step to be equal to two and every time I just generate a random number with this uh line of code I'll always get an even number all right moving on to the last use case all of these uh codes that we have discussed till now give a single random number every time we call them now to print a series of numbers randomly uh we use the sample method for using the sample method we first of all Define a range again let's say between 0 and 100 and the number of random numbers that we want to generate dat if I run this one we'll get three random numbers generated so that is all about random numbers next time when you are asked about how to print random numbers I hope you can answer that question
Original Description
Let's learn how to generate random numbers in Python. At some point when you are doing real life projects in python, you need to generate random numbers for some specific work. There are quite a few ways to do this. And here, we will see four ways of generating random numbers depending on various use cases.
Top Python Coding Interview Questions & Answers for Freshers & Experienced Candidates. Crack Python Interviews with these essential Python coding interview questions with examples for job seekers, final-year students, and data professionals.
✅ Python Interview Resources Here🔗 https://bit.ly/46GapqL
✅ Python Conceptual Questions (Top 21)🔗 https://youtu.be/IT9A6ZtR_9s
✅ Free Python Certification Course🔗 https://youtu.be/6sLkF-F9Oh0
Python is the most popular language in the tech industry. During the interview, you will be asked to solve the challenge using Python and explain complex Python code functionality. In this video, we are discussing- Top 5 most common questions & answers- asked during technical Programming interviews. Practicing these questions can help data professionals, developers, and software engineers successfully pass the interview stage.
---------------------------------------------------------
🔥 Enroll for our BlackBelt Plus Program
----------------------------------------------------------
👉 Become a Data Scientist, coming from any background, even without leaving your job!
👉 Register Today🔗 https://tinyurl.com/4sj2vada
-------------------------------------------
🔥 Important Video Links
-------------------------------------------
👉 AI Tools to Build Resume: https://youtu.be/VF2D9hEV1cE
👉 AI Tools to Build LinkedIn: https://youtu.be/nOUCLLem0-w
👉 AI tools to Crack Interviews: https://youtu.be/0DLIVyXEKhQ
👉 Switching to Data Science: https://youtu.be/gOAx2nVZpyw
👉 SQL Full Course: https://youtu.be/_H4h-tWvuxs
---------------------------------------------------------
🔥 Tags
------------------------------------------------------
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from Analytics Vidhya · Analytics Vidhya · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
The DataHour: Data Science in Retail
Analytics Vidhya
The DataHour: Anomaly detection using NLP and Predictive Modeling
Analytics Vidhya
The DataHour: Energy Data Science Project from Scratch
Analytics Vidhya
The DataHour: Explainable AI Need and Implementation
Analytics Vidhya
The DataHour: Google Cloud AI/ML
Analytics Vidhya
Prediction to Production in Machine Learning #machinelearning #prediction
Analytics Vidhya
Practical Applications of Data science in Ecommerce
Analytics Vidhya
How to tackle Overfitting?#machinelearning #overfitting
Analytics Vidhya
Building Data Pipelines on GCP #googlecloud #datapipelines #data
Analytics Vidhya
Hands-on with A/B Testing #abtesting #datascience
Analytics Vidhya
Efficient Implementations of Transformers #transformers #cnn #machinelearning
Analytics Vidhya
Modern Deep Learning Architecture #deeplearning #architecture #deeplearningtutorial
Analytics Vidhya
Key steps for Designing Artificial Neural Network (ANN) for Image classification #machinelearning
Analytics Vidhya
5 things you should know about Azure SQL #azure #sql #datahour #datascience
Analytics Vidhya
AI & ML in the Automotive Industry #machinelearning #ai
Analytics Vidhya
Building Machine Learning Models in BigQuery
Analytics Vidhya
NLP aspects in Telecommunication Industry
Analytics Vidhya
Practical Time Series Analysis
Analytics Vidhya
Fundamentals of Quantum Computing
Analytics Vidhya
A DAY IN THE LIFE of a Data Scientist (From waking up to working on algorithms)
Analytics Vidhya
Classification Machine Learning Model from Scratch
Analytics Vidhya
Knowledge Graph Solutions using Neo4j
Analytics Vidhya
Model Guesstimation (MLOps)
Analytics Vidhya
ETL Pipelines in Google Cloud Platform
Analytics Vidhya
Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
Analytics Vidhya
Getting Started with AWS EC2 #amazon #aws
Analytics Vidhya
How to Use Azure NLP and Graph Databases for Intelligent Knowledge Mining
Analytics Vidhya
Certified AI & ML BlackBelt Plus Program #shorts
Analytics Vidhya
Visualizing Data using Python #machinelearning #visualization #python
Analytics Vidhya
DCNN for Machine RUL Prediction using Time-series Data #timeseries #machinelearning #datascience
Analytics Vidhya
M in ML stands for Math & Magic
Analytics Vidhya
An Unsupervised ML approach using Clustering
Analytics Vidhya
Customizing Large Language Models GPT3 for Real-life Use Cases #gpt3 #datascience
Analytics Vidhya
Model Parameters vs Hyperparameters - Techniques in ML Engineering #machinelearning
Analytics Vidhya
Practical MLOps #mlops #datascience
Analytics Vidhya
Data Engineering with Databricks #dataengineering #databricks
Analytics Vidhya
Multi-Objective Optimisation
Analytics Vidhya
When Airflow Meets Kubernetes
Analytics Vidhya
AI in Banking
Analytics Vidhya
Learn Convolutional Neural Network for Image Recognition
Analytics Vidhya
Extracting Value from Data
Analytics Vidhya
How to measure Marketing Channel Effectiveness
Analytics Vidhya
Transforming Lives | Data Science Immersive Bootcamp
Analytics Vidhya
Stock Market Analysis - AI driven approach
Analytics Vidhya
Become a Data Engineering Professional in 2022 | Future Trends + Skills Required
Analytics Vidhya
Ensemble Techniques in Machine Learning #machinelearning #ensemble #datascience
Analytics Vidhya
The Power of Visualization | Tableau Full Course | Analytics Vidhya
Analytics Vidhya
Demand for Data Engineers is on the Rise | Data Engineer | Analytics Vidhya
Analytics Vidhya
Data Visualization in Data Science | DataHour | Analytics Vidhya
Analytics Vidhya
Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya
Analytics Vidhya
Solving any Machine Learning Problem | Approach and Steps Involved
Analytics Vidhya
Topic Modeling Explained with Implementation | Using LDA in Python | DataHour by Arpendu Ganguly
Analytics Vidhya
Data Engineering in E-Commerce | The Best Case Study
Analytics Vidhya
Introduction to Classification using Azure Machine Learning | DataHour | Analytics Vidhya
Analytics Vidhya
Introduction to Federated Learning | DataHour | Analytics Vidhya
Analytics Vidhya
Diffusion Models for Generative Arts | DataHour | Analytics Vidhya
Analytics Vidhya
Master Google Analytics in 1 Hour | DataHour | Analytics Vidhya
Analytics Vidhya
Learn Hypothesis Testing | DataHour | Analytics Vidhya
Analytics Vidhya
A Practical Approach to Kaggle Competition | DataHour | Analytics Vidhya
Analytics Vidhya
Making AI work for Business | DataHour | Analytics Vidhya
Analytics Vidhya
More on: AI Productivity Tools
View skill →Related Reads
📰
📰
📰
📰
Why AI Increases the Need for Platform Engineering
Dev.to AI
AI for CS Assignments: How I Survive Technical Writing (Without Completely Dreading It)
Dev.to AI
I built RepoLens: a repo docs, diagrams, security report & AI chat, from one knowledge graph
Dev.to · OnamSharma
Can we use AI for academic writing? It depends:
Medium · AI
🎓
Tutor Explanation
DeepCamp AI