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An amazing guide to learn Python along with a hand-on experience on game developing.

About This Video: Use the Python programming language to create games in Python Learn Python programming with the built-in Turtle project. Use PyGame to create two and three-dimensional games.

In Detail: Python is a powerful high-level, object-oriented programming language. This is a comprehensive guide on how to get started in Python and how you could learn it with the help of games. In the first section, we will be building our first game. We will use pure Python programming in combination with the built-in Python Turtle module. We will learn how to move our runner around a game screen which we’ll create. In section two, we will enhance what we have learned in section one by combining the power of Turtle Graphics with the tkinter framework. We will add scoring to our game, create obstacles and increase the speed of the game. In section three, we will install and use the PyGame module. PyGame is used to build professional games but we can start quite simple. We will be building a game with a player that runs and jumps within landscapes. We will learn how to use PyGame sprites and sprite sheets to animate our game. In the fourth section, we will use the PyGame module to build a three-dimensional game. We will build a starship and learn how to navigate it in space. We will explore several features of PyGame to avoid collisions with asteroids and destroy them. By the end of this video course, you'll gain a solid understanding of Python along with a hands-on experience in building amazing games. So let’s Rock & Roll! The codes of this course are uploaded on GitHub: https://github.com/PacktPublishing/-Learn-Python-Programming-with-Games

Gain an in-depth understanding of data analysis with various Python packages.

About This Video: Learn data analysis, manipulation, and visualization using the Pandas libraryCreate statistical plots using Matplotlib and Seaborn to help you get insights into real size patterns hidden in dataGain an in-depth understanding of the various packages so as to perform data analysis and implement machine learning models.In DetailPython is an open-source community-supported, general-purpose programming language that, over the years, has also become one of the bastions of data science. Thanks to its flexibility and vast popularity that data analysis, visualization, and machine learning can be easily carried out with Python. This course will help you learn the tools necessary to perform data science.In this course you will learn all the necessary libraries that make data analytics with Python a joy.You will get into hands-on data analysis and machine learning by coding in Python. You will also learn the Numpy library used for numerical and scientific computation. You will also employ useful libraries for visualization, Matplotlib and Seaborn, to provide insights into data. Further you will learn various steps involved in building an end-to-end machine learning solution. The ease of use and efficiency of these tools will help you learn these topics very quickly. The video course is prepared with applications in mind. You will explore coding on real-life datasets, and implement your knowledge on projects.By the end of this course, you'll have embarked on a journey from data cleaning and preparation to creating summary tables, from visualization to machine learning and prediction. This video course will prepare you to the world of data science. Welcome to our journey! Show more Show less