Best Practices in Entity Framework: +1 Million Records

It's time to become a modern and complete Python developer! Join a live online community of over 900,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Meta, + other top tech companies.Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy (we use the latest version of Python). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore. This comprehensive and project based course will introduce you to all of the modern skills of a Python developer (Python 3) and along the way, we will build over 12 real world projects to add to your portfolio (You will get access to all the the code from the 12+ projects we build, so that you can put them on your portfolio right away)!The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real life practice and be ready for the real world. The topics covered in this course are:- Programming Fundamentals- Python Basics- Python Fundamentals- Data Structures- Object Oriented Programming with Python- Functional Programming with Python- Lambdas- Decorators- Generators- Testing in Python- Debugging- Error Handling- Regular Expressions</

To understand how organizations like Google, Amazon, and even Udemy use machine learning and artificial intelligence (AI) to extract meaning and insights from enormous data sets, this machine learning course will provide you with the essentials. According to Glassdoor and Indeed, data scientists earn an average income of $120,000, and that is just the norm! When it comes to being attractive, data scientists are already there. In a highly competitive job market, it is tough to keep them after they have been hired. People with a unique mix of scientific training, computer expertise, and analytical abilities are hard to find.Like the Wall Street "quants" of the 1980s and 1990s, modern-day data scientists are expected to have a similar skill set. People with a background in physics and mathematics flocked to investment banks and hedge funds in those days because they could come up with novel algorithms and data methods.That being said, data science is becoming one of the most well-suited occupations for success in the twenty-first century. It is computerized, programming-driven, and analytical in nature. Consequently, it comes as no surprise that the need for data scientists has been increasing in the employment market over the last several years.The supply, on the other hand, has been quite restricted. It is challenging to get the knowledge and abilities required to be recruited as a data scientist.In this course, mathematical notations and jargon are minimized, each topic is explained in simple English, making it easier to understand. Once you've gotten your hands on the code, you'll be able to play with it and build on it. The emphasis of this course is on understanding and using these algorithms in the real world, not in a theoretical or academic context. You'll walk away from each video with a fresh idea that you can put to use right away!All skill levels are welcome

What makes this course different than others?Complete Guide: this is not a bootcamp or "crash" course - this is the only complete guide that takes you from knowing nothing about MCPs, to understanding the architecture and protocol, to an MCP expert building MCP Servers and Clients. You get ~8 hours of content!Focus on Python: the SDK we use here is completely in Python (instead of Javascript or Typescript). However, since all the SDKs are similar, what you learn here will be applicable to all SDKs.Up to date: this course incorporates all the latest updates and technologies, including the new Streamable HTTP transportFrom Theory to Build: this course starts on the theory and architecture behind MCPs, why they exist, how they work, their history so that you get a solid understanding. After that, we focus on the features around MCP Servers and Clients and applying it as we build with MCPMCP Servers and Clients: this course builds both MCP servers and clients (most content just stops at servers)Build 4+ MCP Servers and Clients: we build several MCP servers and clients from scratchMCPs are taking over the world because they solve a critical problem. LLM applications are great at generating content but they lack taking action. Tools and Function Calling were meant to address this, but LLM frameworks apply this differently and many developers had to "reinvent the wheel" every single time they started building an LLM application. Consensus was needed and MCP was born. Since then, MCP has taken off, being adopted fully by Microsoft, OpenAI, Anthropic, and so much more. Thousands of companies have built their own MCP servers, and tens of thousands of developers have built MCP servers that in

You might have come across slow development cycles due to traditional infrastructure management processes. DevOps project gives you provision on your Azure resources: Application Insights integration, Git Code Repository, and a setup to provide a continuous delivery pipeline. The project helps to deploy applications, add test environment to validate your production, manage the code flow and high quality. Moreover, monitor your progress with proper tracking of the project backlog and other applications. If you’re looking to automate your operations to deliver reliable code software faster with Azure DevOps then is the perfect Course for you!This comprehensive 2-in-1 course takes a step-by-step practical approach to automating builds and delivering software more reliably with DevOps projects on Azure. Initially, you’ll acquire a deeper insight into implementing DevOps. You’ll understand how containerization technologies work as well as execute tests across your applications with continuous integration. Moving further, you’ll work with DevOps for modern-day application lifecycle management and automate your apps on the Azure Cloud platform. Finally, you’ll configure a full CI/CD pipeline for any Azure app using the language and app framework you want.Towards the end of this course, you'll automate your operations with Azure DevOps to deliver software faster and more reliably with DevOps projects on Azure.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, DevOps Fundamentals with Azure, covers learning to automate builds to deploy and deliver code faster and more often. This course will show you how to speed up the release cycle of your IT systems. With a set of automation tools, an orchestration platform, and a few processes, you will do more with fewer resources and become more engaged in the business process. Exploring Azure, you

Accountability in the Workplace is a course meticulously crafted to enhance your understanding and application of accountability, whether you're an employee, manager, supervisor, or business owner. This course is designed to empower you with the knowledge and skills necessary to excel in your professional role and to foster a culture of accountability in your workplace.Benefits of This Course: In this course, you will gain a comprehensive understanding of what it means to be fully accountable. This knowledge will not only earn you respect from your peers and subordinates but also equip you with the tools to become the leader or team member you aspire to be. By personalizing the strategies and insights provided, you will be able to effectively navigate various workplace situations, applying the right approach to ensure the best outcomes. This course is your key to recognizing and responding to different scenarios with appropriate and effective accountability strategies.Key Learning Objectives: Throughout this course, you will:Learn to define accountability and personal accountability.Understand the difference between ownership and accountability.Discover how to use feedback as a tool to enhance performance.Recognize and overcome the barriers to workplace accountability.Course Content: We will delve into:Building accountability leadership.Setting effective SMART goals.Identifying the components of the cycle of accountability.Working towards reaping the benefits of accountability.And much more.Who Will Benefit: This course is tailored for:Employees seeking to improve their workplace performance.Managers and supervisors aiming to lead more effectively.Business or company owners looking to foster a responsible work

This course teaches you Hadoop, Pig, Hive and Apache Mahout from scratch with an example based and hands on approach. From Scratch to Practical ----------------------------------------- This course is hell awesome, if you are new to Hadoop this course is for you, from theory to hands on experience , plus a Mahout and recommended system as Project. This course is a five star.!!! - Aakash====================================================================== Easy to understand, makes Hadoop Mahout simple -------------------------------------------------------------------------------- This course has helped me crack a couple of Big Data engineer interviews as the basics are well explained here. The video/audio quality is fine and the instructor knows his stuff! - Shipra====================================================================== Brilliant course for Data Engineers -------------------------------------------------------------------------------- This is course is well structured. I would like to call this Big Data and Hadoop for Dummies. It covers basics as well as advanced concepts in a very unique way. Hands on examples gave me clear direction about how to use Hadoop in production environment. I strongly recommend this course to all levels of data engineers and Big data enthusiasts.Production quality is goo