In this 1-hour long project-based course, you will learn how to create a fully functioning chicken invaders game using Pygame. Throughout the project, you will be able to build the game using the pygame module, interact with other modules, and finally, you will be able to identify and use many of python’s components. Python is one of the most used languages in the world, and by … [Read more...] about Chicken Invaders Game in Python using Pygame
Algorithms
Data Structures and Algorithms (II)
By learning this course, you will get a comprehensive grasp of stack, queue, binary tree, graph and BST structures and algorithms, as well as their applications. By the end of this course, you will be able to understand and implement stack, queue and binary tree, use binary trees to solve problems such Huffman encoding, understand and implement the graph structure as well as … [Read more...] about Data Structures and Algorithms (II)
Data Analysis with Python: Inform a Business Decision
In this project-based course, you will learn how to use the Python programming language and Pandas as a data analyst. A data analyst analyzes and visualizes data, as well as communicates the findings and insights effectively across an organization. In many cases, these findings are meant to answer a business question. For this project-based course, Airbnb is looking for … [Read more...] about Data Analysis with Python: Inform a Business Decision
Restful Web Service Spring Boot Visual Studio Code Gradle
In this project you will use the Spring Boot Framework to create a restful web application that returns a list of random numbers to the consumer. A web service uses a standard protocol and messaging system to transfer data between systems and applications. Restful stands for Representational State Transfer, which uses HTTP to transfer XML or more commonly JSON packets among … [Read more...] about Restful Web Service Spring Boot Visual Studio Code Gradle
Big-O Time Complexity in Python Code
In the field of data science, the volumes of data can be enormous, hence the term Big Data. It is essential that algorithms operating on these data sets operate as efficiently as possible. One measure used is called Big-O time complexity. It is often expressed not in terms of clock time, but rather in terms of the size of the data it is operating on. For example, in terms of … [Read more...] about Big-O Time Complexity in Python Code
