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[corrinework]

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[freecodespot]

Hey there! If you're a developer building web applications with ASP.NET Core, you know that authentication and authorization can be a complex and challenging aspect of the development process. Luckily, there's a solution that can simplify this process: Identity Server.

Identity Server is an open-source framework that provides a secure and flexible solution for implementing authentication and authorization in your ASP.NET Core applications. It allows you to implement single sign-on (SSO) and access control in a centralized manner, reducing the amount of code you need to write and maintain.

One of the biggest advantages of using Identity Server is that it supports a wide range of authentication protocols, including OpenID Connect, OAuth2, and SAML2. This means that you can easily integrate with external identity providers like Facebook, Google, and Microsoft, giving your users a seamless and secure experience.

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[educationtech]

18 Best Resources to Learn Data Science Online in 2024

The best free resources to learn Data Scienceand Data Analysis include a variety of platforms and courses that offer comprehensive learning materials and practical exercises. Here are some notable free resources from the provided sources:

1. FreeCode Camp: This online learning platform offers free lessons on statistics for Data Science, computer science concepts, Python fundamentals, Pandas, Python Matplotlib, and provides a guide to building a good Data Science portfolio.

2. Khan Academy: Known for its free lessons, Khan Academy explains various Data Science concepts such as SQL, data analysis, finding patterns in datasets, statistics, and probability, accompanied by practice sets to test knowledge.

3. Google Cloud: Google Cloud provides a free Machine Learning crash course with video lectures, practice exercises, and case studies for learners, allowing customization in the learning experience through consolidated videos, tutorials, sample codes, courses, documentation, labs, and interactive sessions.

4. Intellipaat:Intellipaat offers a Data Science tutorial on their website and several video tutorials on their YouTube channel, covering a wide range of topics in detail, making it a valuable resource for systematic learning of Data Science.

5. NobleDesktop: Noble Desktop offers hands-on training in data analytics through courses like Data Analytics Certificate, SQL Bootcamp, and Tableau Bootcamp, designed for beginners and advanced learners alike, providing a practical approach to learning data analytics.

6. CareerFoundry:CareerFoundry's Data Analytics Short Course is a series of five beginner-friendly classes that provide a brief introduction to data analytics, offering interactive exercises and a free participation certificate at the end, making it a valuable resource for beginners.

7. EliteDataScience:EliteDataScience provides 65 free data science resources hand-picked and annotated for beginners, covering foundational skills, programming, statistics, technical skills, data collection, SQL, data visualization, applied machine learning, business skills, and supplementary skills, offering a comprehensive guide for aspiring data scientists.

These free resources offer a wealth ofknowledge, practical exercises, and tutorials to help individuals learn Data Science and Data Analysis effectively, making them valuable assets for anyone looking to enter the field or enhance their skills in these domains.

What are the best free online books for dataanalysis and data science

Some of the best free online books for DataAnalysis and Data Science include:

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4. Artof Data Science by Roger D. Peng & Elizabeth Matsui

5. TheData Science Handbook by Carl Shan, Henry Wang, William Chen, & Max Song

6. TheData Analytics Handbook by Brian Liou, Tristan Tao, & Declan Shener

7. DataDriven: Creating a Data Culture by Hilary Mason & DJ Patil

8. BuildingData Science Teams by DJ Patil

9. Understandingthe Chief Data Officer by Julie Steele

10. TheElements of Data Analytic Style by Jeff Leek

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[korey12346]

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Breaking into Tech 2023 For someone who is planning a change in career or grow skills in the tech industry, available resources are massive and helpful For someone completely new in the tech industry and doesn’t know where to start from I got you. First thing to do I research on the different sectors in tech that you would like to gain knowledge in. Find out what it’s all about, job opportunities and earnings. Whatever path you picked up on, find out more about it. You can visit roadmap.sh to look more into the path you’ve decided to take. At the moment there are a lot of bootcamps available free and paid. As much as we all love the free things in life, no doubt the paid bootcamps are very thorough and aren’t expensive. There are websites and available dedicated to spaces in tech. Such are codecademy and freecode camp. There are coursera and udemy my personal favorites. Their courses are also paid and free and some issue certificates at the end of the course. As much as the courses are well effective they are not enough to land a job in the tech industry. You can begin projects relating to the course you have studied to practice the skills you have acquired. Save this projects to Github.

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[freecodespot]

Hey there, Tumblr community! If you're a developer building web applications with ASP.NET Core, you know that object mapping can be a time-consuming and error-prone process. Luckily, there's a solution that can simplify this process: AutoMapper.

AutoMapper is a free and open-source library that allows you to easily map objects from one type to another in your ASP.NET Core applications. It helps you reduce the amount of code you need to write and maintain, and ensures that your mapping logic is consistent and easily testable.

One of the biggest advantages of using AutoMapper is that it allows you to define mappings between objects using a simple and intuitive syntax. For example, you can use the CreateMap() method to specify how to map properties from one type to another:

CreateMap<Source, Destination>()

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This creates a mapping between the Source and Destination types, and maps the value of the OtherPropertyName property on the Source object to the PropertyName property on the Destination object.

AutoMapper also provides a variety of features that make it easy to customize the mapping process to fit your specific needs. For example, you can use custom type converters to convert between types that AutoMapper doesn't natively support, or use value resolvers to calculate values for properties during mapping.

Another advantage of using AutoMapper is that it provides comprehensive documentation and a supportive community of developers who can help you if you run into any issues.

In conclusion, AutoMapper is an excellent solution for simplifying object mapping in your ASP.NET Core applications. If you're working on a project that requires object mapping, be sure to check out AutoMapper and see how it can streamline your development process!