Programmingempire
The Python List Practice Exercise given below consists of simple programs on python lists. Basically, a list is a data structure in python that contains multiple elements. Moreover, all elements in a python list need not be of the same data type. Further, the values in a list are not unique. In other words, we can have duplicate values in a list.
Also, all list items are ordered. Therefore, whenever we add a new item in the list, it will always be inserted at the end of the list. Further, a list in python is mutable. Unlike tuples, which is another collection in python, the methods applied on a list can change it.
The following section contains some of the basic questions and their solutions making use of the lists.
- Print a list using a for loop. Also, print the number of elements in the list.
- A Program to find the sum and average of list elements in python.
- Reversing list elements.
- Find difference between minimum and maximum elements in a list.
- Remove duplicate elements from a list and create another list containing only unique elements from the previous list.
- Program to show how to Count Element Frequencies in a List in Python
Further Reading
How to Implement Inheritance in Python
Find Prime Numbers in Given Range in Python
Running Instructions in an Interactive Interpreter in Python
Deep Learning Practice Exercise
Deep Learning Methods for Object Detection
Image Contrast Enhancement using Histogram Equalization
Transfer Learning and its Applications
Examples of OpenCV Library in Python
Understanding Blockchain Concepts
Example of Multi-layer Perceptron Classifier in Python
Measuring Performance of Classification using Confusion Matrix
Artificial Neural Network (ANN) Model using Scikit-Learn
Popular Machine Learning Algorithms for Prediction
Long Short Term Memory – An Artificial Recurrent Neural Network Architecture
Python Project Ideas for Undergraduate Students
Creating Basic Charts using Plotly
Visualizing Regression Models with lmplot() and residplot() in Seaborn
Data Visualization with Pandas