Game Dev Kickstart: 2D Game Development Using LibGDX & Java

Hello Everyone, and welcome to this course on Angular 17, Python Fast API and MySQL full-stack web development.In this course, you will learn how to develop a web application from scratch using popular technologies such as * MySQL for the database.* Python Fast API for the back end web development.* And the latest Angular 17 for the front end web development.-We will first start with installing and setting up the environment needed for our database, back end project and front end project.-Then we will develop REST API end points using Python FAST API module.-Finally we will be using Angular 17 to design the front end part of our App.We are going to build a very simple todo application to manage the tasks. It is going to be very minimalistic in order to focus on the bigger picture of integrating the database, backend and frontend to create a simple full stack application from scratch quickly.This is requires beginner knowledge of Python and basic html CSS and Java script as well.I am sure that this course will definitely help you in your journey as a full stack web developer. Welcome to the course, and happy learning.

Learn Ionic 2 with two in-depth, step-by-step mobile apps. Updated for Ionic 2 beta 10. There is a large, active Ionic community that has developed over a million apps. Ionic 1 has attracted a lot of people because it leveraged existing technologies that developers were familiar with on the web to create mobile apps. With the new advances in Angular 2 and TypeScript, Ionic 2 changes how we develop hybrid, mobile apps. Fortunately, this course teaches these new frameworks as you develop apps in an easy progression that will have you writing Ionic 2 apps within a couple hours. As the video progresses, viewers will learn how to get the best of both worlds in terms of using Ionic and Angular together to create stunning apps with interactive UIs and real-time functionality. By the end of this course, a viewer will be a professional Ionic 2 developer with the skills and deeper understanding to create any app imaginable.

Data science is one of the most in-demand fields of the decade, and this course, Python for Data Science: From Basics to Advanced in 2025, offers an in-depth learning experience that caters to beginners and professionals alike. Covering a broad spectrum of topics, from data analysis to machine learning, this course equips you with the tools and skills needed to excel in the field of data science.We start with a solid introduction to data science, exploring its significance, workflow, and essential tools and skills required to thrive. You'll set up your environment with tools like Anaconda, Google Colab, and Git for version control, ensuring you have a seamless start to your journey. Next, we dive into Advanced Excel, where you'll master data cleaning, pivot tables, formulas, and even macros for automation.The course transitions into Python for Data Science, where you’ll learn to manipulate data using NumPy and Pandas. Data visualization is a core skill, and you’ll explore Matplotlib, Seaborn, and Plotly to create both static and interactive visualizations.You'll also learn to use Power BI for data modeling and creating dynamic dashboards. A thorough Statistics Deep Dive builds your foundation in advanced statistical measures, hypothesis testing, and inferential analysis.From data preprocessing and feature engineering to machine learning, you'll explore supervised, unsupervised, and neural network models. Finally, apply your skills with real-world projects like building a chatbot and an image classifier.This comprehensive course will help you confidently enter the field of data science!

XAI with PythonThis course provides detailed insights into the latest developments in Explainable Artificial Intelligence (XAI). Our reliance on artificial intelligence models is increasing day by day, and it's also becoming equally important to explain how and why AI makes a particular decision. Recent laws have also caused the urgency about explaining and defending the decisions made by AI systems. This course discusses tools and techniques using Python to visualize, explain, and build trustworthy AI systems. This course covers the working principle and mathematical modeling of LIME (Local Interpretable Model Agnostic Explanations), SHAP (SHapley Additive exPlanations) for generating local and global explanations. It discusses the need for counterfactual and contrastive explanations, the working principle, and mathematical modeling of various techniques like Diverse Counterfactual Explanations (DiCE) for generating actionable counterfactuals. The concept of AI fairness and generating visual explanations are covered through Google's What-If Tool (WIT). This course covers the LRP (Layer-wise Relevance Propagation) technique for generating explanations for neural networks.In this course, you will learn about tools and techniques using Python to visualize, explain, and build trustworthy AI systems. The course covers various case studies to emphasize the importance of explainable techniques in critical application domains.All the techniques are explained through hands-on sessions so that learns can clearly understand the code and can apply it comfortably to their AI models. The dataset and code used in implementing various XAI techniques are provided to the learners for their practice.

This course is designed for every developer who wants to build RESTful API using ASP.NET Core. Course contents consists of three grades: Beginning (Level 100), Intermediate (Level 200) and Advanced (Level 300) so you can improve your development skill while learning this course. You can see a course grade on each section.The course is intended to build RESTful API using ASP.NET Core with step-by-step approach. It's suitable for junior web developers and welcoming for senior web developers too. All project samples are written in C# so C# programming skills are required.You will learn the following topics in this bootcamp:Basic REST APIs programming using ASP.NET CoreAccessing database from ASP.NET Core REST API using .NET Entity Framework CoreApplying Authentication, Authorization and Role-Based AuthorizationImplementing RESTful API Security with OAuth2Implementing RESTful API Security with JWT TokenDeploying ASP.NET Core REST API to Microsoft AzureRequired Lab EnvironmentTo perform this course, you should prepare these materials:Computer with Windows 10 (Recommended), macOS (Optional) and Linux (Optional).NET Core SDK 2.2.x or laterVisual Studio 2019 or later. You can use Visual Studio Code with dotnet commandlineActive Azure account to deploy to Microsoft AzurePlease enjoy your course. Please let me if you have questions corresponding to this course.Update 19 February 2022Add new content about ASP.NET Core 6.0 API with Minimal APIsUpdate 18 April 2020Add new content about ASP.NET Core API with JWT token

In this course you will learn how to create a unreal engine rpg inventory, where you can equip your modular character with different body parts such as hairs, torso, legs weapons and shield using blueprints, blueprint interface, actor blueprint component for better performace and understanding, also you will be introduced to dynamic objects tnteraction for example how to get items from the floor and have a inventory widget and blueprint component acess and display those items and manage using a context menu this menu will be useful for actions such as how to drop those items back in the world map, delete inventory items, equip and unequip items from the inventory we going to create from scratch the configuration variables for the inventory system using structures, data tables, enumeration complete logic how to find a item, remove, select from the datatable the information, you will learn how to setup a player controller, game instance, player pawn i am goin to teach how setup a modular character body parts using unreal engine free assets, of the source code will be avaliable on my github link for free so if you not sure about the course you can download the entire project.