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...
42 comments
Read more

Learn the fastest way to build data apps

Another post starts with you beautiful people! I hope you have enjoyed and learned something new from my previous three posts about machine learning model deployment. In one post we have learned  How to deploy a model as FastAPI?  I n the second post, we have learned  How to deploy a deep learning model as RestAPI ? and in the third post, we have also learned  How to scale your deep learning model API?   If you are following my blog posts, you have seen how easily you have transit yourselves from aspiring to a mature data scientist. In this new post, I am going to share a new framework-  Streamlit which will help you to easily create a beautiful app with Python only. I will show here how had I used the Streamlit framework to create an app for my YOLOv3 custom model. What is Streamlit? Streamlit’s open-source app framework is the easiest way for data scientists and machine learning engineers to create beautiful, performant apps in only a few hours!...
47 comments
Read more

How can I make a simple ChatBot?

Another post starts with you beautiful people! It has been a long time of posting a new post. But my friends in this period I was not sitting  where I got a chance to work with chatbot and classification related machine learning problem. So in this post I am going to share all about chatbot- from where I have learned? What I have learned? And how can you build your first bot? Quite interesting right! Chatbot is a program that can conduct an intelligent conversation based on user's input. Since chatbot is a new thing to me also, I first searched- is there any Python library available to start with this? And like always Python has helped me this time also. There is a Python library available with name as  ChatterBot   which is nothing but a machine learning conversational dialog engine. And yes that is all I want to start my learning because I always prefer inbuilt Python library to start my learning journey and once I learn this then only I move ahead for another...
12 comments
Read more