Skip to main content

Python Basics- hands on with strings

In our first exercise we will do some hands on with Python's in built methods.

         Store your own version of the message "Hello World" in a variable, and print it.


       Store your first name, in lowercase, in a variable.Using that one variable, print your name in lowercase, Titlecase, and UPPERCASE.



Choose a person you look up to. Store their first and last names in separate variables.
Use concatenation to make a sentence about this person, and store that sentence in a variable.-
Print the sentence.



Store your first name in a variable, but include at least two kinds of whitespace on each side of your name.
Print your name as it is stored.
Print your name with whitespace stripped from the left side, then from the right side, then from both sides.


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

Comments

Post a Comment

Popular posts from this blog

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!...
48 comments
Read more

Exploring The File Import

Another post starts with you beautiful people! Today we will explore various file import options in Python which I learned from a great learning site- DataCamp . In order to import data into Python, we should first have an idea of what files are in our working directory. We will learn step by step examples as given below- Importing entire text files- In this exercise, we'll be working with the file mobydick.txt [ download here ] It is a text file that contains the opening sentences of Moby Dick, one of the great American novels! Here you'll get experience opening a text file, printing its contents to the shell and, finally, closing it- # Open a file: file file = open('mobydick.txt', mode='r') # Print it print(file.read()) # Check whether file is closed print(file.closed) # Close file file.close() # Check whether file is closed print(file.closed) Importing text files line by line- For large files, we may not want to print all of th...
9 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