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jennyonjourney / 5.2 Write a program that repeatedly prompts a user for integer numbers until the user enters 'done'. Once 'done' is entered, print out the largest and smallest of the numbers. If the user enters anything other than a valid number catch it with a try,

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SmaranikaBiswas commented Sep 25, 2021

largest = None smallest = None num = 0 while True: num = input("Enter a number: ") if num == "done" : break try: numb = int(num) except: print ("Invalid input") continue if smallest is None: smallest = numb elif numb < smallest : smallest = numb if largest is None: largest = numb elif numb > largest: largest = numb print ("Maximum is", largest) print ("Minimum is", smallest)

This is a correct code. It's absolutely run and match the output.

Sorry, something went wrong.

KhaledE21 commented Nov 14, 2021

mdshamimchowdhury commented Jan 19, 2022

Now you Must Try This one

num = 0 largest = -1 smallest = None while True: num = input("Enter a number: ") if num == "done" : break try : numb = int(num) except : print('Invalid input') if smallest is None : smallest = numb elif numb < smallest : smallest = numb elif numb > largest : largest = numb print("Maximum is", largest) print("Minimum is", smallest)

Now you should try to enter output: 7 then 2 then bob then 10 then 4 then done

initiatorvaibhav commented Feb 21, 2022

# newer update

largest = None smallest = None while True: inp = input("Enter a number: ") if inp == "done": break try: num = float(inp) except: print("Invalid input") continue if smallest is None: smallest = num largest = num if num < smallest: smallest = num elif num > largest: largest = num print("Maximum is", int(largest)) print("Minimum is", int(smallest))

rovesoul commented Feb 21, 2022 via email

Abi-London commented Mar 21, 2022

largest = None smallest = None while True: num = input("Enter a number: ") if num == "done": break try: numb=int(num) except: print('Invalid input') continue if largest is None: largest=numb elif largest<numb: largest=numb if smallest is None: smallest=numb elif numb<smallest: smallest=numb print("Maximum", largest) print("Minimum", smallest)

rovesoul commented Mar 21, 2022 via email

chenchen218 commented May 10, 2022

my code for this practice:

large = None small = None

while True: num = input('please enter a vallue<<') try: if num == 'done': print('program finished') break number = int(num) except: print('please enter a numeric value') if small is None or small > number: small = number if large is None or large < number: large = number

print('MAX NUM: ',large, 'MIN NUM:',small)

rovesoul commented May 10, 2022 via email

WitherspoonD commented Oct 16, 2022

The code checker is case sensitive.

rovesoul commented Oct 16, 2022 via email

techfresher commented Nov 23, 2022

please help out

rovesoul commented Nov 23, 2022 via email

Rovesoul commented jan 9, 2023 via email.

mohamednazeih commented Jan 16, 2023

largest = None smallest = None while True: num = input("Enter a number: ")

print("Maximum is", largest) print("Minimum is", smallest)

amw514 commented Apr 3, 2023

Rovesoul commented apr 3, 2023 via email.

iqtidarali commented Apr 17, 2023

work for me hope for you guys as well

rovesoul commented Apr 17, 2023 via email

anitasoaares commented May 29, 2023 • edited Loading

rovesoul commented May 29, 2023 via email

Irajam commented Aug 27, 2023

can pls someone help me, i have been trying a lot of different things and this mismatch is always appearing. I dont know what i am doing wrong. I have tried without the quit() but is the same thing.

did you find any solution for this? i have same issue, i tried several codes but not working

rovesoul commented Aug 27, 2023 via email

johnny-official commented Sep 14, 2023

Rovesoul commented sep 14, 2023 via email.

tadeletekeba13 commented Oct 14, 2023

"Hello, everyone. Could you kindly assist me with this exercise?

I am encountering difficulties, and nothing seems to be effective.

largest = None smallest = None

while True : num = input ('Enter a number :') if num=='done': break #elif num =='Done': #break try : fnum = float (num ) except: print ('Invaild input') continue if largest in None: largest = fnum elif fnum > largest: largest = fnum #print (fnum) if smallest is None : smallest =fnum #print (fnum) Print ('Maximum is', int(largest)) Print ('Minimum is' , int(smallest)) IS NOT WORKIG

rovesoul commented Oct 14, 2023 via email

Rovesoul commented oct 30, 2023 via email.

HyugasV commented Oct 30, 2023

Guys my code is like that and it's working is it true ?

numlist = [] while True: num = input("Enter a number: ") if num == "done": break try: num = int(num) (numlist.append(num)) largest = max(numlist) smallest = min(numlist) except: print("Invalid input")

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Coursera: Machine Learning - All weeks solutions [Assignment + Quiz] - Andrew NG

Recommended Machine Learning Courses: Coursera: Machine Learning    Coursera: Deep Learning Specialization Coursera: Machine Learning with Python Coursera: Advanced Machine Learning Specialization Udemy: Machine Learning LinkedIn: Machine Learning Eduonix: Machine Learning edX: Machine Learning Fast.ai: Introduction to Machine Learning for Coders

=== Week 1 ===

Assignments: .

• No Assignment for Week 1
• Machine Learning (Week 1) Quiz ▸  Introduction
• Machine Learning (Week 1) Quiz ▸  Linear Regression with One Variable
• Machine Learning (Week 1) Quiz ▸  Linear Algebra

=== Week 2 ===

Assignments:.

• Machine Learning (Week 2) [Assignment Solution] ▸ Linear regression and get to see it work on data.
• Machine Learning (Week 2) Quiz ▸  Linear Regression with Multiple Variables
• Machine Learning (Week 2) Quiz ▸  Octave / Matlab Tutorial

=== Week 3 ===

• Machine Learning (Week 3) [Assignment Solution] ▸ Logistic regression and apply it to two different datasets
• Machine Learning (Week 3) Quiz ▸  Logistic Regression
• Machine Learning (Week 3) Quiz ▸  Regularization

=== Week 4 ===

• Machine Learning (Week 4) [Assignment Solution] ▸ One-vs-all logistic regression and neural networks to recognize hand-written digits.
• Machine Learning (Week 4) Quiz ▸  Neural Networks: Representation

=== Week 5 ===

• Machine Learning (Week 5) [Assignment Solution] ▸ Back-propagation algorithm for neural networks to the task of hand-written digit recognition.
• Machine Learning (Week 5) Quiz ▸  Neural Networks: Learning

=== Week 6 ===

• Machine Learning (Week 6) [Assignment Solution] ▸ Regularized linear regression to study models with different bias-variance properties.
• Machine Learning (Week 6) Quiz ▸  Advice for Applying Machine Learning
• Machine Learning (Week 6) Quiz ▸  Machine Learning System Design

=== Week 7 ===

• Machine Learning (Week 7) [Assignment Solution] ▸ Support vector machines (SVMs) to build a spam classifier.
• Machine Learning (Week 7) Quiz ▸  Support Vector Machines

=== Week 8 ===

• Machine Learning (Week 8) [Assignment Solution] ▸ K-means clustering algorithm to compress an image. ▸ Principal component analysis to find a low-dimensional representation of face images.
• Machine Learning (Week 8) Quiz ▸  Unsupervised Learning
• Machine Learning (Week 8) Quiz ▸  Principal Component Analysis

=== Week 9 ===

• Machine Learning (Week 9) [Assignment Solution] ▸ Anomaly detection algorithm to detect failing servers on a network. ▸ Collaborative filtering to build a recommender system for movies.
• Machine Learning (Week 9) Quiz ▸  Anomaly Detection
• Machine Learning (Week 9) Quiz ▸  Recommender Systems

=== Week 10 ===

• No Assignment for Week 10
• Machine Learning (Week 10) Quiz ▸  Large Scale Machine Learning

=== Week 11 ===

• No Assignment for Week 11
• Machine Learning (Week 11) Quiz ▸  Application: Photo OCR Variables

Question 5 Your friend in the U.S. gives you a simple regression fit for predicting house prices from square feet. The estimated intercept is -44850 and the estimated slope is 280.76. You believe that your housing market behaves very similarly, but houses are measured in square meters. To make predictions for inputs in square meters, what intercept must you use? Hint: there are 0.092903 square meters in 1 square foot. You do not need to round your answer. (Note: the next quiz question will ask for the slope of the new model.) i dint get answer for this could any one plz help me with it

Please comment below specific week's quiz blog post. So that I can keep on updating that blog post with updated questions and answers.

This comment has been removed by the author.

Good day Akshay, I trust that you are doing well. I am struggling to pass week 2 assignment, can you please assist me. I am desperate to pass this module and I am only getting 0%... Thank you, I would really appreat your help.

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Deep-Learning-Specialization-Coursera

This repo contains the updated version of all the assignments/labs (done by me) of deep learning specialization on coursera by andrew ng. it includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc., deep learning specialization coursera [updated version 2021].

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This repo contains all of the solved assignments of Coursera’s most famous Deep Learning Specialization of 5 courses offered by deeplearning.ai

Instructor: Prof. Andrew Ng

This Specialization was updated in April 2021 to include developments in deep learning and programming frameworks. One of the most major changes was shifting from Tensorflow 1 to Tensorflow 2. Also, new materials were added. However, Most of the old online repositories still don’t have old codes. This repo contains updated versions of the assignments. Happy Learning :)

Programming Assignments

Course 1: Neural Networks and Deep Learning

• W2A1 - Logistic Regression with a Neural Network mindset
• W2A2 - Python Basics with Numpy
• W3A1 - Planar data classification with one hidden layer
• W3A1 - Building your Deep Neural Network: Step by Step¶
• W3A2 - Deep Neural Network for Image Classification: Application

Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

• W1A1 - Initialization
• W1A2 - Regularization
• W1A3 - Gradient Checking
• W2A1 - Optimization Methods
• W3A1 - Introduction to TensorFlow

Course 3: Structuring Machine Learning Projects

• There were no programming assignments in this course. It was completely thoeretical.
• Here is a link to the course

Course 4: Convolutional Neural Networks

• W1A1 - Convolutional Model: step by step
• W1A2 - Convolutional Model: application
• W2A1 - Residual Networks
• W2A2 - Transfer Learning with MobileNet
• W3A1 - Autonomous Driving - Car Detection
• W3A2 - Image Segmentation - U-net
• W4A1 - Face Recognition
• W4A2 - Neural Style transfer

Course 5: Sequence Models

• W1A1 - Building a Recurrent Neural Network - Step by Step
• W1A2 - Character level language model - Dinosaurus land
• W1A3 - Improvise A Jazz Solo with an LSTM Network
• W2A1 - Operations on word vectors
• W2A2 - Emojify
• W3A1 - Neural Machine Translation With Attention
• W3A2 - Trigger Word Detection
• W4A1 - Transformer Network
• W4A2 - Named Entity Recognition - Transformer Application
• W4A3 - Extractive Question Answering - Transformer Application

I’ve uploaded these solutions here, only for being used as a help by those who get stuck somewhere. It may help them to save some time. I strongly recommend everyone to not directly copy any part of the code (from here or anywhere else) while doing the assignments of this specialization. The assignments are fairly easy and one learns a great deal of things upon doing these. Thanks to the deeplearning.ai team for giving this treasure to us.

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Name: Abdur Rahman

Institution: Indian Institute of Technology Delhi

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Category: Coursera

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