Readers will be introduced to four types of projects developed with Python so that readers can practice and adapt them for their own work. Some examples only allow you to edit fonts for Python development in non-English countries. Readers should have basic knowledge in writing Python or read “A-Z in Python” textbook and practice following it before starting to read this textbook. Readers will be introduced to four types of projects developed with Python so that readers can practice and adapt them for their own work. A brief description of the four types of projects is as follows.
Project 1 Game In this project, readers will use the Pygame package to develop a 2D game that lets players shoot alien ships to explode. Make it in time before the alien ship drops down to the player's place. and must dodge alien bombs as they drop, and readers will be able to use the examples the author created to make changes to the program to make it more understandable at the end of the project. Readers will learn skills that will help you develop your own 2D games in Pygame. As for Python, there are many game program developers who use it to develop famous games such as Pacman, Snake, Tic-tac-toe, etc., which readers can use to modify it in developing their own games as well. Project 2 Web Application In this project, reader will be able to use the Django package to easily develop a Web Application. Python, itself has a database that can be used without having to install any database. In this section, readers will be able to learn how to develop programs that can update, add, edit, and delete data. Project 3 Data Analysis In this project, readers will learn how to use beautiful and functional data visualization using Matplotlib and Pygal in a way that can be used for data analysis which is very useful in research. Various business jobs You can also create map presentations. Project 4 Artificial Intelligence (AI) In this project, readers will learn about Artificial Intelligence using Matplotlib, Scipy, Scikit-learn, Numpy package and Python development tools. The following Artificial Intelligence tools are available: Mathematical Tools : Statistics
Mean Median Mode Standard Deviation Percentiles
Creating data for testing Data Analysis
Scatter Plot Analysis Linear Regression Analysis Polynomial Regression Analysis Multiple Regression Analysis Categorical Data Analysis
Data Mining
Decision Tree Hierarchical Clustering K-Means Association Rules
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