Build & 3D Model Huge and Complete Unity® Games from Scratch

ورة كاملة ومتكاملة لتعلم بناء وتطوير تطبيقات الايفون والايباد وايضا على ساعة أبل بصورة احترافية وذلك من خلال سلسلة دروس مبسطة وسلسة، الدورة معدة للمبتدئين وبعتبار لا يوجد خبره برمجية سابقةفي كل درس يتم عرض موضوع مبسط باستخدام الامثلة والشرح والتوضيحالدروس عبارة عن فيديو بالصوت والصورةالدروة معدة من الصفر وحتى الاحترافتشمل الدروة بناء العديد من التطبيقات الحقيقيةالدروة تؤهلك لاكتساب مهنية رائعة ومربحة جداالدورة تتطرق لكافة المواضيع الحيوية لتعلم بناء تطبيقات للايفون والايباد

Hello Everyone, and welcome to this course on Blazor, .NET Core Web API, Microsoft SQL Server full-stack web development.In this course, you will learn how to develop a web application from scratch using popular technologies such as * Microsoft SQL Server for the database.* .NET Core Web API for the back end web development.* And Blazor 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 .NET Core Web API.-Finally we will be using Blazor to design the front end part of our App.* You will learn how to create the navigation menu and tables using bootstrap, add routing and navigation to our Blazor App, add modal pop up window with drop downs and date pickers, and also add upload profile picture functionality and store it in the backend server. We will also learn how to add custom filtering and sorting features without using any third party packages.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.

If you're an office worker, student, administrator, or just want to become more productive with your computer, programming will allow you write code that can automate tedious tasks. This course follows the popular (and free!) book, Automate the Boring Stuff with Python.Automate the Boring Stuff with Python was written for people who want to get up to speed writing small programs that do practical tasks as soon as possible. You don't need to know sorting algorithms or object-oriented programming, so this course skips all the computer science and concentrates on writing code that gets stuff done.This course is for complete beginners and covers the popular Python programming language. You'll learn basic concepts as well as:Web scrapingParsing PDFs and Excel spreadsheetsAutomating the keyboard and mouseSending emails and textsAnd several other practical topics By the end of this course, you'll be able to write code that not only dramatically increases your productivity, but also be able to list this fun and creative skill on your resume.

Transformer models are the de-facto standard in modern NLP. They have proven themselves as the most expressive, powerful models for language by a large margin, beating all major language-based benchmarks time and time again.In this course, we cover everything you need to get started with building cutting-edge performance NLP applications using transformer models like Google AI's BERT, or Facebook AI's DPR.We cover several key NLP frameworks including:HuggingFace's TransformersTensorFlow 2PyTorchspaCyNLTKFlairAnd learn how to apply transformers to some of the most popular NLP use-cases:Language classification/sentiment analysisNamed entity recognition (NER)Question and AnsweringSimilarity/comparative learningThroughout each of these use-cases we work through a variety of examples to ensure that what, how, and why transformers are so important. Alongside these sections we also work through two full-size NLP projects, one for sentiment analysis of financial Reddit data, and another covering a fully-fledged open domain question-answering application.All of this is supported by several other sections that encourage us to learn how to better design, implement, and measure the performance of our models, such as:History of NLP and where transformers come fromCommon preprocessing techniques for NLPThe theory behind transformersHow to fine-tune transformersWe cover all this and more, I look forward to seeing you in the course!

سوف نتعرف في هذه الدورة على الموقع الاكتروني و الفروقات بينها. ونعلم اكثر عن الورد برس الخاص او الموقع المجاني .بعدها نبداء خطوات عمل الموقع اخذ استضافةشرح لوحة التحكمالبدء في قالب وشرح الحصول على القوالب اهم الاضافات يتم شرحة وطريقة تنصيبها اهم الصفحات كيفية كتابة المقالات و الصفحات نشر الموقع

What do you know about the code changes that were just introduced into the codebase? When will you notice if something goes wrong?Continuous Feedback is a new dev practice that aims to make practical usage of code runtime data to shorten the feedback loop during development. OpenTelemetry makes it possible with great library support and a standard spec for tracing, metrics, and more.By practicing CF, developers can increase productivity with shorter feedback loops. Getting access to data about their code much earlier, detecting and resolving issues in shorter iterations, as-they-code.In this course, we'll look past the novelty of using OSS observability tools and technologies, to discuss how we can actually make them useful for developers. We'll look at the benefits of enabling OpenTelemetry collection for dev and test data and examine OSS tools to help analyze the application runtime. Throughout the talk, we'll go over code examples of common anti-patterns, code smells, hidden errors, and other types of problems that this untapped source of data can reveal.Ultimately, the goal should not be simply observing the application or creating nice-looking dashboards. Rather, success is in leveraging observability data in order to achieve a more effective dev process and write better code.