Angular 11 google social login or sign in tutorial using angularx social-loginKaty Slemon
Here’s a step-by-step guideline on how to integrate Google Social Login or Sign In in Angular 11 Application with Example. Learn and code with this tutorial
Google external login setup in ASP .NET Core
Sundar Neupane
May 23, 2021
Google external login setup in ASP .NET Core
This article demonstrates how to build a .NET Core 5 that enables users to sign in using OAuth with credentials from external authentication providers. This tutorial shows you how to enable users to sign in with their Google account using the .NET Core 5. Users logged in using their existing credentials from third-party applications, like as Googe, Facebook, Twitter, Github, Microsfot, and so on. In this article, I am going authentication of the .NET 5 app using a Google account.
ASP.NET Core is a cross-platform, high-performance, open-source framework for building modern, cloud-based, Internet-connected applications. It includes support for hosting on Windows, Linux, and macOS, and can be used to build web applications, IoT applications, and mobile backends.
To implement Google authentication in an ASP.NET Core application, you can use Google.AspNetCore.Authentication.Google package, which provides Google OAuth2 authentication support for ASP.NET Core. Here is an example of how to configure Google authentication in an ASP.NET Core app:
To set up Google external login in ASP.NET Core, you need to perform the following steps:
Register your application with Google by following the instructions here: https://developers.google.com/identity/sign-in/web/sign-in#before_you_begin
Make a note of the client ID and client secret that Google provides for your application.
In your ASP.NET Core application, install the following NuGet packages:
Microsoft.AspNetCore.Authentication.Google
Microsoft.AspNetCore.Authentication.OAuth
In the ConfigureServices method of your application's Startup class, add the following code to configure the Google authentication options:
services.AddAuthentication().AddGoogle(options =>
{
options.ClientId = "<your client id>";
options.ClientSecret = "<your client secret>";
});
In the Configure method of your Startup class, add the following code to enable the authentication middleware:
app.UseAuthentication();
In your login page or login partial view, add a link or button that the user can click to initiate the login process with Google. The link or button should point to the following URL:
/Account/ExternalLogin?provider=Google
When the user clicks the link or button, they will be redirected to Google to sign in and grant permission to your application. If the authentication is successful, the user will be redirected back to your application and logged in.
That's it! Your application is now set up to allow users to log in with their Google account. You can customize the authentication process further by setting additional options in the GoogleAuthenticationOptions class. For more information, you can refer to the documentation
Download source code: https://findandsolve.com/source-code/code-how-to-add-googlle-authentication-to-dot-net-5-core
The slide is for adding google analytics to your project. It contains all the steps like how to enable analytics to your project and how to track project.
Getting started using Google APIs (2019)wesley chun
New to Google APIs? Think they're hard to use? This "mythbusting" 15-20 minute talk shows developers what they need to know to get started immediately, from creating projects, to enabling APIs and getting the appropriate credentials needed to connect with Google APIs. The session concludes with a look at samples employing both simple API key (YouTube Data API) as well as authorized access using OAuth2 (Google Drive API).
Angular 11 google social login or sign in tutorial using angularx social-loginKaty Slemon
Here’s a step-by-step guideline on how to integrate Google Social Login or Sign In in Angular 11 Application with Example. Learn and code with this tutorial
Google external login setup in ASP .NET Core
Sundar Neupane
May 23, 2021
Google external login setup in ASP .NET Core
This article demonstrates how to build a .NET Core 5 that enables users to sign in using OAuth with credentials from external authentication providers. This tutorial shows you how to enable users to sign in with their Google account using the .NET Core 5. Users logged in using their existing credentials from third-party applications, like as Googe, Facebook, Twitter, Github, Microsfot, and so on. In this article, I am going authentication of the .NET 5 app using a Google account.
ASP.NET Core is a cross-platform, high-performance, open-source framework for building modern, cloud-based, Internet-connected applications. It includes support for hosting on Windows, Linux, and macOS, and can be used to build web applications, IoT applications, and mobile backends.
To implement Google authentication in an ASP.NET Core application, you can use Google.AspNetCore.Authentication.Google package, which provides Google OAuth2 authentication support for ASP.NET Core. Here is an example of how to configure Google authentication in an ASP.NET Core app:
To set up Google external login in ASP.NET Core, you need to perform the following steps:
Register your application with Google by following the instructions here: https://developers.google.com/identity/sign-in/web/sign-in#before_you_begin
Make a note of the client ID and client secret that Google provides for your application.
In your ASP.NET Core application, install the following NuGet packages:
Microsoft.AspNetCore.Authentication.Google
Microsoft.AspNetCore.Authentication.OAuth
In the ConfigureServices method of your application's Startup class, add the following code to configure the Google authentication options:
services.AddAuthentication().AddGoogle(options =>
{
options.ClientId = "<your client id>";
options.ClientSecret = "<your client secret>";
});
In the Configure method of your Startup class, add the following code to enable the authentication middleware:
app.UseAuthentication();
In your login page or login partial view, add a link or button that the user can click to initiate the login process with Google. The link or button should point to the following URL:
/Account/ExternalLogin?provider=Google
When the user clicks the link or button, they will be redirected to Google to sign in and grant permission to your application. If the authentication is successful, the user will be redirected back to your application and logged in.
That's it! Your application is now set up to allow users to log in with their Google account. You can customize the authentication process further by setting additional options in the GoogleAuthenticationOptions class. For more information, you can refer to the documentation
Download source code: https://findandsolve.com/source-code/code-how-to-add-googlle-authentication-to-dot-net-5-core
The slide is for adding google analytics to your project. It contains all the steps like how to enable analytics to your project and how to track project.
Getting started using Google APIs (2019)wesley chun
New to Google APIs? Think they're hard to use? This "mythbusting" 15-20 minute talk shows developers what they need to know to get started immediately, from creating projects, to enabling APIs and getting the appropriate credentials needed to connect with Google APIs. The session concludes with a look at samples employing both simple API key (YouTube Data API) as well as authorized access using OAuth2 (Google Drive API).
Build, Deploy and Run Node Js Application on Azure using DockerOsama Mustafa
Build, Deploy and Run Node Js Application on Azure using Docker,
This documentation explains step by step how to Build, Deploy and Run Node.js application on Azure using docker.
Exploring Google APIs 102: Cloud vs. non-GCP Google APIswesley chun
As a follow-up to his "Exploring Google APIs" talk in 2019 (https://www.youtube.com/watch?v=ri8Bfptgo9Q) on Google APIs and running code on Google Cloud, tech consultant Wesley Chun dives deeper into using the REST APIs available for many Google services, Cloud and otherwise. While developers should expect a common user experience across all Google APIs, this isn't the case, so Wesley, who has spent 13+ years working on different Google API teams, will walk you through the differences you need to know if any of your current or future projects plan on using any Google API, esp. Cloud vs. non-GCP Google APIs. Two of the key topics in this session include an overview of the different client libraries available as well as what's required for authorizing your app's access to Google APIs. Knowledge of accessing APIs from Python or Javascript may be helpful but not necessary.
Power your apps with Gmail, Google Drive, Calendar, Sheets, Slides & morewesley chun
This is a ~90-minute technical introduction to G Suite/Google Apps developer tools, platforms, and APIs. Code samples are in Python+JS. Motivation: encourage developers to write apps integrating with G Suite APIs so they can monetize, taking advantage of the many schools & enterprises that are G Suite users. Delivered sessions at ISTE (Jun 2019), Google Cloud NEXT (Jul 2018), Google Cloud Summit - São Paulo (Nov 2017), DevFest DC (May 2017), DevFest NYC (Nov 2016), and GDG LA DevFest (Dec 2016).
Google App Engine tutorial for Java. Demonstrates how to open an account, setup a connection between your server and an Android app and some more features of GAE.
How we can use the Cloud Computing provided by the giant Google to access our data everywhere, how to connect to their service BigQuery using Python and then, how to connect the BigQuery to Power BI to create an interactive dashboard.
Just recently on October 10th, Google announced a change in name of API.AI into DialogFlow. There are a couple of new features following this change. Regardless of what has been changed, in this post we are going to share a simple way of how to integrate your agents that is created using DialogFlow into any Qiscus chat SDK application.
Django is a high-level Python web framework that enables rapid development of...ArijitDutta80
It follows the Model-View-Template (MVT) architectural pattern, providing built-in features for handling common web development tasks like URL routing, database management, authentication, and templating. Django promotes code reusability, scalability, and maintainability, making it popular among developers for building complex and feature-rich web applications efficiently.
Django follows the Model-View-Template (MVT) architectural pattern.
Model: Represents the data structure of the application. It defines the database schema and interacts with the database.
View: Handles the business logic of the application. It receives requests from the client, processes them, and returns responses.
Template: Defines the presentation layer of the application. It contains HTML files with embedded template tags and filters to render dynamic content.
Don't Repeat Yourself (DRY) Principle:
Django emphasizes the DRY principle, which promotes code reusability and reduces redundancy.
It encourages developers to write modular and reusable components, such as templates, views, and models, to avoid duplicating code.
Convention over Configuration:
Django follows the convention over configuration paradigm, providing sensible defaults and conventions to minimize the need for explicit configuration.
It reduces the amount of boilerplate code by making assumptions about the project structure and naming conventions.
Object-Relational Mapping (ORM):
Django's ORM abstracts the interaction with the database, allowing developers to work with database records using Python objects.
It simplifies database operations such as querying, inserting, updating, and deleting records by providing an object-oriented interface.
Admin Interface:
Django includes a built-in admin interface that allows developers to perform CRUD (Create, Read, Update, Delete) operations on database records without writing custom views.
It automatically generates an administrative interface based on the registered models, providing a convenient way to manage application data.
Middleware:
Middleware in Django is a framework of hooks into Django's request/response processing.
It allows developers to modify incoming requests or outgoing responses globally or selectively based on certain conditions.
Middleware is commonly used for authentication, session management, and request/response logging.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Build, Deploy and Run Node Js Application on Azure using DockerOsama Mustafa
Build, Deploy and Run Node Js Application on Azure using Docker,
This documentation explains step by step how to Build, Deploy and Run Node.js application on Azure using docker.
Exploring Google APIs 102: Cloud vs. non-GCP Google APIswesley chun
As a follow-up to his "Exploring Google APIs" talk in 2019 (https://www.youtube.com/watch?v=ri8Bfptgo9Q) on Google APIs and running code on Google Cloud, tech consultant Wesley Chun dives deeper into using the REST APIs available for many Google services, Cloud and otherwise. While developers should expect a common user experience across all Google APIs, this isn't the case, so Wesley, who has spent 13+ years working on different Google API teams, will walk you through the differences you need to know if any of your current or future projects plan on using any Google API, esp. Cloud vs. non-GCP Google APIs. Two of the key topics in this session include an overview of the different client libraries available as well as what's required for authorizing your app's access to Google APIs. Knowledge of accessing APIs from Python or Javascript may be helpful but not necessary.
Power your apps with Gmail, Google Drive, Calendar, Sheets, Slides & morewesley chun
This is a ~90-minute technical introduction to G Suite/Google Apps developer tools, platforms, and APIs. Code samples are in Python+JS. Motivation: encourage developers to write apps integrating with G Suite APIs so they can monetize, taking advantage of the many schools & enterprises that are G Suite users. Delivered sessions at ISTE (Jun 2019), Google Cloud NEXT (Jul 2018), Google Cloud Summit - São Paulo (Nov 2017), DevFest DC (May 2017), DevFest NYC (Nov 2016), and GDG LA DevFest (Dec 2016).
Google App Engine tutorial for Java. Demonstrates how to open an account, setup a connection between your server and an Android app and some more features of GAE.
How we can use the Cloud Computing provided by the giant Google to access our data everywhere, how to connect to their service BigQuery using Python and then, how to connect the BigQuery to Power BI to create an interactive dashboard.
Just recently on October 10th, Google announced a change in name of API.AI into DialogFlow. There are a couple of new features following this change. Regardless of what has been changed, in this post we are going to share a simple way of how to integrate your agents that is created using DialogFlow into any Qiscus chat SDK application.
Django is a high-level Python web framework that enables rapid development of...ArijitDutta80
It follows the Model-View-Template (MVT) architectural pattern, providing built-in features for handling common web development tasks like URL routing, database management, authentication, and templating. Django promotes code reusability, scalability, and maintainability, making it popular among developers for building complex and feature-rich web applications efficiently.
Django follows the Model-View-Template (MVT) architectural pattern.
Model: Represents the data structure of the application. It defines the database schema and interacts with the database.
View: Handles the business logic of the application. It receives requests from the client, processes them, and returns responses.
Template: Defines the presentation layer of the application. It contains HTML files with embedded template tags and filters to render dynamic content.
Don't Repeat Yourself (DRY) Principle:
Django emphasizes the DRY principle, which promotes code reusability and reduces redundancy.
It encourages developers to write modular and reusable components, such as templates, views, and models, to avoid duplicating code.
Convention over Configuration:
Django follows the convention over configuration paradigm, providing sensible defaults and conventions to minimize the need for explicit configuration.
It reduces the amount of boilerplate code by making assumptions about the project structure and naming conventions.
Object-Relational Mapping (ORM):
Django's ORM abstracts the interaction with the database, allowing developers to work with database records using Python objects.
It simplifies database operations such as querying, inserting, updating, and deleting records by providing an object-oriented interface.
Admin Interface:
Django includes a built-in admin interface that allows developers to perform CRUD (Create, Read, Update, Delete) operations on database records without writing custom views.
It automatically generates an administrative interface based on the registered models, providing a convenient way to manage application data.
Middleware:
Middleware in Django is a framework of hooks into Django's request/response processing.
It allows developers to modify incoming requests or outgoing responses globally or selectively based on certain conditions.
Middleware is commonly used for authentication, session management, and request/response logging.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
1. Get Authentication for Google Service API
First, we need to get the authentication files for Google Service API, so our Python code can
access Google Drive. To do that, we need to:
1. Create a new project in
Google Developer Console
by clicking “CREATE PROJECT” as
follows.
You can give your project a name or leave it as default.
2. 2. Enable APIs and Services by clicking the “ENABLE APIS AND SERVICES” as indicated by
the red circle in the following picture.
That will bring you the API library as below.
Search “Google Drive” in the API library (indicated by the red circle in the picture). You’ll get
the following snapshot.
3. Click the “Google Drive API” icon and it will bring you to the next step as follows.
4. Then click “ENABLE”, which will enable your Google Drive API service. You’ll get to the next
step as follows.
3. Create credentials by clicking the “CREATE CREDENTIALS” icon (indicated by red circle in
above snapshot). Here’s what you’ll get.
In the above snapshot, we need to click “client ID” as that’s the Python program needs. Then
click “CREATE” and download the JSON file as shown by the following snapshots.
5. The downloaded JSON file is the one we need for our Python code to access Google Drive.
Install PyDrive Module :
Once you have the JSON file to access Google Drive, we can install a Python library
—
PyDrive
usingpip install pydrive.
6. The google authentication code will do authentication and list all files in your Google Drive.
Note that every time you run the following program, the code will open a web browser to ask
you to input your Google account and password.
To avoid inputting passwords every time, we can create asettings.yamlfile to save all the
credentials. The details can be found from the
PyDrive official document
. The yaml file is like
the following.
settings.yml file :
The
client_id
and
client_secret
can be found by clicking the editing icon in the following picture.
Rerun the above Python code, the program will ask you to input your Google password again.
Then it will create a
credentials.json
file. Next time, Python will just pick up that file to finish
authentication automatically. Therefore, you don't need to type your password again.
client_config_backend: settings
client_config:
client_id: your_client_id
client_secret: your_client_secretsave_credentials: True
save_credentials_backend: file
save_credentials_file: credentials.jsonget_refresh_token: Trueoauth_scope:
- https://www.googleapis.com/auth/drive.file