Skip to main content

Python Basics- Introducing functions

Another post starts with you beautiful people and today we will learn about the function in Python by doing some hands on practice. You can find more details here- Python Functions



  • Write a function that takes in a person's name, and prints out a greeting.
  • The greeting must be at least three lines, and the person's name must be in each line.
  • Use your function to greet at least three different people.



  • Store your three people in a list, and call your function from a for loop.


  • Write a function that takes in a first name and a last name, and prints out a nicely formatted full name, in a sentence. Your sentence could be as simple as, "Hello, full_name."
  • Call your function three times, with a different name each time.

  • Write a function that takes in two numbers, and adds them together. Make your function print out a sentence showing the two numbers, and the result.
  • Call your function with three different sets of numbers.

  • Modify Addition Calculator so that your function returns the sum of the two numbers. The printing should happen outside of the function.


So keep practicing by your own with above examples in your notebook and comment if you face any issue.

Comments

  1. BroughtAugust 17, 2017 at 3:28 PM

    Nice tutorial.

    ReplyDelete
  2. Monica MSMay 20, 2020 at 3:25 PM

    I do agree with all the ideas you have presented in your post. They’re really convincing and will certainly work. Still, the posts are very short for newbies. Could you please extend them a little from next time?..Keep this great work..
    Chatbot Company in Dubai
    Chatbot Companies in Dubai
    Chatbot Development
    Chatbot Companies
    AI Chatbot Development
    Chatbot Companies in UAE
    Chatbot Company in Chennai
    Chatbot Company in Mumbai
    AI Chatbot Companies
    Chatbot Development Companies

    ReplyDelete
  3. pawanJanuary 27, 2022 at 12:48 PM

    Hi, I read your whole blog. This is very nice. Good to know about the career in Python Training & Certification. We are also providing various Python Training , anyone interested can Python Courses for making their career in this field .

    ReplyDelete
  4. Muskan March 21, 2023 at 6:20 PM

    I like your blog. Your explanation about python is really good. Get best career opportunity with Python Training Course in Greater Noida .

    ReplyDelete
  5. KateAugust 5, 2023 at 5:32 PM

    Self-Care and Wellness: Taking care of oneself and putting one's physical and mental health first may be accomplished by engaging in beauty regimens.

    Beauty goods provide a platform for creative expression, enabling people to experiment with various appearances and fashions.
    https://trendybeauti.com/products/the-ordinary-anti-aging-set
    https://trendybeauti.com/products/blemishes-anti-acne-set
    https://trendybeauti.com/products/ordinary-sun-screen-set
    https://trendybeauti.com/products/age-rewind-anti-wrinkle-set

    ReplyDelete

Post a Comment

Popular posts from this blog

How to deploy your ML model as Fast API?

Another post starts with you beautiful people! Thank you all for showing so much interests in my last posts about object detection and recognition using YOLOv4. I was very happy to see many aspiring data scientists have learnt from my past three posts about using YOLOv4. Today I am going to share you all a new skill to learn. Most of you have seen my post about  deploying and consuming ML models as Flask API   where we have learnt to deploy and consume a keras model with Flask API  . In this post you are going to learn a new framework-  FastAPI to deploy your model as Rest API. After completing this post you will have a new industry standard skill. What is FastAPI? FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. It is easy to learn, fast to code and ready for production . Yes, you heard it right! Flask is not meant to be used in production but with FastAPI you can use you...
50 comments
Read more

Exploratory Data Analysis using Python

Another post starts with you beautiful people! In my previous posts and pages we have learnt basics and advanced topics of Python required in Data Science. Now it's time to do EDA, sounds interesting! Exploratory Data Analysis (EDA) is a crucial step of the data analytics process. It involves exploring the data and identifying important features about the data as well as asking interesting questions from the data by using statistical and visualization tools studied in earlier classes such as descriptive statistics and basic plotting. In this post we will use the dataset about TB data on countries and their territories. Specifically, we would using data files for TB Deaths, spread of TB, and number of new cases of TB to answer some important questions. Since we are going to perform some Exploratory Data Analysis in our TB dataset, these are the questions we want to answer: Which are the countries with the highest and infectious TB incidence? What is the general world ...
10 comments
Read more

Machine Learning-Decision Trees and Random Forests

Another post starts with you beautiful people! I hope after reading my previous post about  Linear and Logistic Regression   your confidence level is up and you are now ready to move one step ahead in Machine Learning arena. In this post we will be going over Decision Trees and Random Forests . In order for you to understand this exercise completely there is some required reading. I suggests you to please read following blog post before going further- A Must Read! After reading the blog post you should have a basic layman's (or laywoman!) understanding of how decision trees and random forests work.  A quick intro is as below- Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features . For instance, in the example below, decision trees learn from data to approximate a sin...
9 comments
Read more