Jie Jenn
Search Reddit Posts And Subreddits In Claude Desktop With This Reddit MCP Server (Python Based)
updated
⭐ What You Will Learn:
➡ Create an AWS Lambda function to call 3rd party API
➡ Set up API Gateway for your API.
➡ Integrating OpenAI API for video summaries
➡ Deployment and Testing: Steps to deploy and test your API.
📺 Set up AWS API access: youtu.be/EX4ZuSAllCI
Resources:
📑 AWS API Gateway Documentation: docs.aws.amazon.com/apigateway
📑 AWS Lambda Documentation: docs.aws.amazon.com/lambda/?icmpid=docs_homepage_featuredsvcs
📑 OpenAI API Guide: platform.openai.com/docs/tutorials
📋 Source Code & download OpenAI zip file: wp.me/payCAw-1mH
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0:00:00 Introduction to the project and its purpose.
0:01:10 Demonstrating the API with a specific video example.
0:03:00 Beginning the creation of the function in AWS Lambda.
0:05:11 Utilizing the YouTube Transcript API for extracting transcripts.
0:06:19 Overview and explanation of the Lambda function's source code.
0:13:21 Testing the Lambda function with a sample event.
0:18:11 Finalizing the Lambda function by adding necessary layers.
0:20:16 Creating and configuring the API endpoint in API Gateway.
0:24:59 Confirming the API's functionality with different video IDs.
0:25:08 Concluding the tutorial and encouraging feedback.
#aws #lambda #APIGateway #OpenAI #awsportfolioprojects #CloudComputing
📑 Source Code: wp.me/payCAw-1mC
📙 PDF download source
- housing.az.gov/documents-links/housing-invoices
- kaggle.com/datasets/mcvishnu1/fake-w2-us-tax-form-dataset
- kaggle.com/datasets/jenswalter/receipts
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00:00 - Intro & agenda
02:11 - Common use cases
02:52 - Free tier & pricing info
04:06 - Free tier limitations
05:41 - Available Document Intelligence models
07:10 - Install Azure Document Intelligence Python packages
08:47 - Create & setup Azure Document Intelligence resource
16:11 - Example 1: Tax Form (W2) data extraction
36:18 - Example 2: Extract data from invoices
45:02 - Example 3: Tables extraction
#azure #python #ai
📋 Groq Pricing: wow.groq.com
📋 Groq API Documentation: console.groq.com/docs/quickstart
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0:00:00 - Introduction to Groq AI API
0:00:58 - Pricing for different models
0:01:17 - Processing speed and model comparison
0:01:30 - API access request process
0:01:47 - API free access and model token limits
0:02:27 - Groq's API similarity to OpenAI's API
0:03:10 - Beginning of the tutorial: setting up the Groq Python package
0:03:40 - Creating a new API key
0:04:52 - Coding demonstration starts
0:07:44 - Review of request response and completion time
0:08:22 - Conclusion and final thoughts
#groq #generativeai #python #genai
📑 Download resource files: wp.me/payCAw-1mA
📃 Source Code: patreon.com/posts/source-code-app-99338920
💻 Download Ollama: ollama.com
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00:00 - Intro & App Demo & Feature Walkthrough
03:52 - Benefits of desktop apps
05:16 - Install Python dependencies
06:48 - Helper modules
08:11 - App development
#python #ollama #pythonapp #desktopapplication
The OpenAI GPT4 Vision model is designed to broaden the applications of AI by integrating image processing capabilities alongside traditional text inputs. This development allows GPT-4 to understand and respond to images, making it more versatile and applicable to a wider range of use cases than ever before. And by incorporating GPT4 Vision model's capability in a desktop application, we can build a variety different utilities with ease.
⭐Benefits of desktop app over web app⭐
➡️ Performance: Desktop apps are generally faster as they can directly access computer hardware.
➡️ Offline Access: They work without an internet connection.
➡️ Faster development time: Because you don't have to worry about handling the web server, you can launch the desktop app with a single click.
➡️ Security: Enhanced security since data is stored locally.
➡️ Ease of Testing: You can test multiple models easily
➡️ Customization: More control over application environment and customization.
➡️ Compatibility: Fewer issues since they're developed for specific operating systems.
➡️ Notifications: Can use system-level notifications for alerts.
📋 Source Code: patreon.com/posts/source-code-your-99338505
📺 Getting started with GPT4 Vision AI Model in Python: youtu.be/_1ujhANv6a4
📋 More on GPT4 Vision Model: platform.openai.com/docs/guides/vision
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00:00 - Demo & Agenda
05:01 - Create Python Virtual Environment (Optional)
06:00 - Install Python Dependencies
06:34 - Desktop App Development
#openai #gpt #gpt4 #python #ai #python
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#webscraping #webscraper #python
📋 More on Google Cloud (GCP): cloud.google.com/gcp
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#gcp #tutorial #googlecloud
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#AWS #WebHosting #S3Tutorial #StaticWebsite #TechTutorial #AWSservices #S3
⭐Topics I will be covering in this video:
1. Introduction to AWS Lambda and API Gateway
2. Overview of Serverless Computing
3. Lambda Proxy vs. Non-Proxy Integration
4. Setting Up an AWS Account
5. Creating a Lambda Function
6. Lambda Function Permissions and Execution Roles
7. Configuring API Gateway
8. Deploying the Hello World API
9. Managing Request and Response Structures
10. AWS Free Tier Pricing Overview
11. Monitoring with AWS CloudWatch
12. Best Practices for Organizing API Routes and Resources
13. Deploying the API to Different Stages
14. Troubleshooting Common Issues
15. Conclusion and Next Steps
📃 More info on AWS Lambda: aws.amazon.com/lambda
📃 More info on AWS API Gateway: aws.amazon.com/api-gateway
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00:00 - Intro to Lambda Proxy Integration and API Gateway
01:32 - Lambda and API Gateway Pricing + Free Tier usage
03:26 - Exercise demo
05:40 - Create HelloWorld Lambda function
07:44 - Lambda timeout and memory configuration
08:50 - API Gateway: Create API
10:37 - API Gateway: Create Resource
#apigateway #lamda #aws #restapi #python
A presigned URL in the context of AWS S3 (Simple Storage Service) is a URL that provides temporary access to a private object stored in an S3 bucket. It's "signed" because it includes a signature in the query parameters that is calculated using your AWS credentials.
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#aws #awss3 #boto3
📋 Download Docker Desktop: docker.com/products/docker-desktop
📋 Ollama model List: ollama.com/library
📋 Llama 2 model download: ollama.com/library/llama2
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#ollama #python #pythonai
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#ollama
📋 Download Ollama: ollama.com
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00:00 - Ollama Intro & Installation
01:49 - Download Ollama model
03:42 - Install Ollama Python library
06:10 - Ollama Desktop App Demo Preview
#ollama #python #pythonai
⭐ Resources ⭐
📋 OpenAI Files API Reference: platform.openai.com/docs/api-reference/files
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#openaiapi #openai #python
📃 openai_utility.py source code: wp.me/payCAw-1mu
⭐ Resources ⭐
📋 Getting started with Assistants API: youtu.be/zxQpOdgfI_Q
📋 Manage OpenAI Files (RAG): youtu.be/-hT5GgcB2Mk
📋 OpenAI Assistants API Reference: platform.openai.com/docs/api-reference/assistants
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00:00 - Intro & agenda
02:24 - App demo
04:58 - Create a Python virtual environment (optional)
05:54 - Dive into chatbot script development
#openaiapi #openai #python #chatbotdevelopment
Source Code:
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#webscraping #python #reddit
📋 Voice List: cloud.google.com/text-to-speech/docs/voice-types
📋 GCP Text-To-Speech Pricing: cloud.google.com/text-to-speech/pricing
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00:00 - Intro & Demo
02:44 - Pricing
03:56 - Create a Google Cloud project (optional)
05:05 - Enable GCP Text-To-Speech API
05:35 - Create a service account
08:25 - Text-To-Speech Python script development
#gcp #googlecloud #python #texttospeech
The Assistant API is one of the newest APIs released by OpenAI, designed to enables developers to easily build powerful AI assistants within their apps. With the Assistants API, it removes the need to manage conversation history by using persistent threads, and adds access to OpenAI-hosted tools like Code Interpreter, function calling, and knowledge retrieval.
📋 Signup for OpenAI: openai.com
📋 OpenAI API Pricing: openai.com/pricing
📑 OpenAI API Reference: platform.openai.com/docs/api-reference
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00:00 - Overview & agenda
00:50 - API components
02:17 - Script development
03:07 - Step 1: Create an Assistant template
06:35 - Step 2: Create an assistant thread
07:42 - Step 3: Create a message thread
09:54 - Step 4: Send message to the assistant thread
11:53 - Step 5: Check message thread session status
12:10 - Step 6: Display Assistant's response
14:17 - Step 7: Ask follow up question
learn the basic of building your own AI assistant.
#openai #openaiapi #python
The OpenAI Files API is probably one of the most important API to know if you want build a sophisticated and capable AI Assistant model, or if you want to provide documents to enhance existing GPT models.
📋 Signup for OpenAI: openai.com
📋 OpenAI API Pricing: openai.com/pricing
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00:00 - Intro to OpenAI Files API
00:35 - Files API pricing
02:45 - Files API examples (Python)
04:13 - Example: Upload a file
08:33 - Example: List files hosted on OpenAI's server
10:06 - Example: Upload multiple files
11:46 - Example: Retrieve a file
12:06 - Example: Delete a file
12:35 - Empty OpenAI file repo
#openai #openaiapi #filesapi #python #aiassistant #finetuning
📋 More info on AWS: aws.amazon.com
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#aws #awstraining #awstutorialforbeginners
📋 Signup for OpenAI: openai.com
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00:00 - GPT4 Vision Model Intro & Agenda
02:05 - API Key setup
04:07 - Example 1: Analyze image from the web
10:58 - Example 2: Analyze image from a local file
12:23 - Example 3: Extract image content
15:40 - Example 4: Analyze multiple images
#openai #openaiapi #gpt4 #python
In this tutorial, we are going to learn how to use CloudFormation in AWS to deploy S3 buckets.
📋 More info on AWS CloudFormation: aws.amazon.com/cloudformation
📋 AWS CloudFormation Resource and Property Types Reference: docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-template-resource-type-ref.html
📋 AWS CloudFormation Template Snippets: docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/CHAP_TemplateQuickRef.html
📋 AWS CloudFormation Version: docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/format-version-structure.html
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00:00 - Intro to AWS CloudFormation
02:03 - CloudFormation Example: JSON vs YAML
04:02 - Exercise: Create a CloudFormation Template to create S3 buckets
#aws #cloudformation #awstraining
📋 OpenAI Pricing: openai.com/pricing
📋 OpenAI Text-To-Speech Voice Options: platform.openai.com/docs/guides/text-to-speech/voice-options
📋 Sign up for OpenAI: openai.com
📺 OpenAI Speech-To-Text tutorial: youtu.be/RH1lGKVGLx0
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#openai #openaiapi #texttospeech #python
📋 OpenAI Pricing: openai.com/pricing
📋 Sign up for OpenAI: openai.com
📺 OpenAI Text-To-Speech Tutorial: youtu.be/4XI85_wwcIo
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#openai #openaiapi #speechtotext #python
This is going to be a beginner friendly tutorial, I will cover every single step from setting up an Azure app, all the way to putting together a Python script to return my to do list items.
📋 More info on Microsoft Graph API: developer.microsoft.com/en-us/graph/rest-api
📋 More info on Microsoft Azure: azure.microsoft.com/en-us
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00:00 - Intro To Microsoft ToDo App API
01:17 - Create an Azure App
03:34 - Generate client secret
05:01 - Set Azure App permission
06:00 - Python script development
#azire #todoapp #microsofttodo #python
📋 More info on AWS Redshift: aws.amazon.com/redshift
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00:00 - Intro to (AWS Redshift) Amazon Redshift
00:57 - AWS Redshift Data Warehosue configuration
01:19 - Load data
04:53 - Query data
10:01 - Delete Redshift instance
#redshift #aws #amazonredshift #cloud #cloudcomputing
📺 Part 1: youtu.be/1WMLgOScAhE
📋 Playwright For Python Reference: https://playwright.dev/python/docs/api/class-playwright
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#zillow #webscraping #webscraper #python
📺 Part 2: youtu.be/JqQxkOI6mU4
📋 Playwright For Python Reference: https://playwright.dev/python/docs/api/class-playwright
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#zillow #webscraping #webscraper #python
📋 More information on track AWS free tier usage: docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/tracking-free-tier-usage.html
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#aws #awstraining #awstraining
Amazon Athena is an serverless query service that makes it easy to analyze data directly in S3 using standard SQL. It is designed to be easy to use, with no infrastructure to manage, and you pay only for the queries you run. Using Amazon Athena, we can directly analyzing large datasets in scenarios like log analysis, generating business reports, and real-time data analysis.
📑 Download sample Sales Data file: drive.google.com/file/d/1VHyZivJgsU6Y1Tv28kuKY0rX-pa3xb5u/view?usp=sharing
📋 More information on AWS Athena: aws.amazon.com/athena
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00:00 - Intro to AWS Athena
00:42 - Navigate to AWS Athena
00:54 - Create a workgroup
02:56 - Create S3 buckets
04:33 - Link S3 bucket to store query exports
05:25 - Create a database
05:56 - Create AWS Athena S3 tables
#aws #awscloud #cloud #cloudcomputing
📑Sign up for Azure: azure.microsoft.com
📑 Azure Bing Search API Pricing: microsoft.com/en-us/bing/apis/pricing
📋 Bing Web Search API endpoint: api.bing.microsoft.com/v7.0/search
📋 Bing Image Search API endpoint: api.bing.microsoft.com/v7.0/images/search
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00:00 - Intro To Microsoft Bing API
00:48 - Azure Bing Search API pricing
02:01 - Create a resource group
03:00 - Add Bing Search Resource
04:53 - Bing API Python package installation
05:05 - Generate Bing API access key
05:44 - Bing Search Python script development
#azure #bing #bingsearch #cloudcomputing
Whether you are a beginner or an experienced professional, this video will provide you with the knowledge and skills you need to excel in your interview. By the end of this tutorial, you'll be able to confidently answer any SQL question that comes your way and impress your interviewer.
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#sql #sqlinterview #sqlserver #stratascratch
Whether you are a beginner or an experienced professional, this video will provide you with the knowledge and skills you need to excel in your interview. By the end of this tutorial, you'll be able to confidently answer any SQL question that comes your way and impress your interviewer.
📗 Question Link: platform.stratascratch.com/coding/10314-revenue-over-time?code_type=5&via=jie
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#sql #sqlinterview #sqlserver #stratascratch
📋 More information on AWS EC 2: aws.amazon.com/pm/ec2
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00:00 - Intro to AWS EC2
00:45 - Create Key Pair
02:02 - Create and Configure Security Group
04:42 - Create & setup an EC2 instance
07:45 - Connect to an EC2 instance
09:38 - Terminate an EC2 instance
#ec2 #cloud #aws #awsec2 #tutorial
📋 More information on AWS Lambda function: aws.amazon.com/lambda
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#python #lambda #awslambda
📋 More info on Playwright For Python: https://playwright.dev/python/docs/api/class-playwright
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#playwright #python
Whether you are a beginner or an experienced professional, this video will provide you with the knowledge and skills you need to excel in your interview. By the end of this tutorial, you'll be able to confidently answer any SQL question that comes your way and impress your interviewer.
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#sql #sqlinterview #sqlserver #stratascratch
Whether you are a beginner or an experienced professional, this video will provide you with the knowledge and skills you need to excel in your interview. By the end of this tutorial, you'll be able to confidently answer any SQL question that comes your way and impress your interviewer.
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#sql #sqlinterview #sqlserver #stratascratch
📋 Google AI Studio: makersuite.google.com/app/prompts/new_freeform
📑 Google Generative AI API Reference: https://ai.google.dev/api/python/google/generativeai
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0:00 - Introduction
0:02 - Overview: Building a Gemini AI Chatbot
0:14 - Launching and Demonstrating the App
0:24 - Using Google's Generative AI Python Library
0:38 - Example Interaction with Gemini AI
0:47 - Response Demonstration: Location of Chicago
1:02 - Discussing Output Format Options
1:18 - Tutorial Scope and Advanced Features
1:33 - Setting Up Python Virtual Environment
2:04 - Command for Creating Python Virtual Environment
2:13 - Naming the Environment and Preparations
2:25 - Accessing API Key and Setting up Google Cloud
3:00 - Google Cloud Account and API Key Generation
3:17 - Creating and Configuring API Key
4:03 - Starting Script Development
4:48 - Writing and Organizing Code for Chatbot
5:41 - Implementing Chatbot Functions and Methods
6:03 - Configuring Gen-AI Module and API Key
6:57 - Setting Up Chatbot Model and Session
7:49 - Preloading Conversation History
8:24 - Starting and Managing Chatbot Conversations
9:01 - Handling Chatbot Outputs and Responses
9:54 - Adjusting Configuration and Response Settings
10:09 - Testing and Interacting with the Chatbot
11:35 - Changing Output Formats and Concluding Tutorial
12:01 - Final Remarks and Source Code Availability
#AIChatbot #GoogleGeminiAI #PythonTutorial #MachineLearning #GoogleCloud #Programming #TechTutorial #GoogleAPI #ChatbotDevelopment #ArtificialIntelligence
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Whether you are a beginner or an experienced professional, this video will provide you with the knowledge and skills you need to excel in your interview. By the end of this tutorial, you'll be able to confidently answer any SQL question that comes your way and impress your interviewer.
📗 Question Link: platform.stratascratch.com/coding/10359-eligible-employees?code_type=5&via=jie
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#sql #sqlinterview #sqlserver #stratascratch
Whether you are a beginner or an experienced professional, this video will provide you with the knowledge and skills you need to excel in your interview. By the end of this tutorial, you'll be able to confidently answer any SQL question that comes your way and impress your interviewer.
📗 Question Link: platform.stratascratch.com/coding/10358-friday-purchases?code_type=5&via=jie
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#sql #sqlinterview #sqlserver #stratascratch
In this tutorial, I am going to share how I use sqlalchemy, pandas to upload raw data files to a database system with ease in Python.
📋 SQLAlchemy Supported Data Type Reference: docs.sqlalchemy.org/en/20/core/types.html
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#pandas #python #database
📋 More information on google-generativeai Python module: https://ai.google.dev/docs
📋 How to get started with Vertex AI Python SDK to use Gemini AI model: youtu.be/tCpGtGKZKQc
▶▶ Prerequisites
- Python 3.9+
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00:00 - Intro to Google Generative AI Python Client
01:17 - Create a Python Virtual Environment
01:53 - Install Google Generative AI Python SDK
02:07 - Create API key
04:10 - Gemini Python exercises
#geminiai #python
AWS SQS, which stands for Amazon Web Services Simple Queue Service, is a robust, cloud-based message queuing service, designed to enhance the efficiency and scalability of your business applications.
By incorporating SQS into your application, you can streamline your workflow by managing tasks that don't need to be processed immediately, allowing for better resource allocation and efficiency.
📋 More information on AWS SQS: aws.amazon.com/sqs
📋 Standard Queue Quotas: docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/quotas-queues.html
📋 FIFO Queue Quotas: docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/quotas-fifo-queues.html
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0:00 - Introduction to the Tutorial
0:02 - Overview of AWS SQS and Its Benefits
0:08 - Explanation of Amazon AWS SQS
0:21 - Streamlining Workflow with SQS
0:36 - ETL Process Management with SQS
0:47 - Overview of SQS Pricing
1:38 - Personal Experience with SQS in ETL Pipelines
2:00 - Additional Costs: Data Transfer Usage
2:05 - Starting the SQS Tutorial
2:10 - Signing Up for AWS and Searching for SQS
2:29 - Understanding and Creating Queues in SQS
2:46 - Queue Types: Standard and FIFO Queue
3:17 - Choosing the Right Queue Type for Your Needs
4:07 - Queue Creation and Naming
4:26 - Queue Configuration Settings
5:14 - Encryption and Access Policy for Queues
5:56 - Creating and Configuring Additional Queues
6:31 - Understanding Redrive Allow Policy and Dead Letter Queue
7:12 - Queue Attributes and Message Filtering
7:56 - Sending Messages to the Queue
9:31 - Sending and Receiving Messages in SQS
10:36 - Retrieving and Analyzing Messages
11:43 - Message Details and Attributes
12:30 - Managing Message Visibility and Queue Refresh
13:05 - Processing Messages and Message Visibility
13:30 - Emptying and Managing the Queue
13:56 - Conclusion and Introduction to Upcoming Tutorial
#aws #sqs #gettingstarted #tutorial #cloud
📺 Getting Started With Google Gemini AI API in Python: youtu.be/tCpGtGKZKQc
📋 Sign up for Google Cloud: cloud.google.com
📋 Gemini API Info: cloud.google.com/vertex-ai/docs/reference
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00:00 - Examples I will be covering
01:51 - Create a story from a photo
06:27 - Analyze a video with Gemini Vision Pro AI
09:19 - Create a tourism ad based on a video
11:02 - Figure out a price of a good using an image
13:36 - Output product prices in a photo in JSON format
16:24 - Transcribe a hand-written letter from a photo
#gemini #googlegemini #googlecloud #python
📺 Real World Examples Using Google Gemini Pro Vision AI model in Python: youtu.be/mSJa3tQc4xk
📋 Sign up for Google Cloud: cloud.google.com
📋 Gemini API Info: cloud.google.com/vertex-ai/docs/reference
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00:00 - Into to Google Gemini
00:22 - Gemini API pricing
00:52 - Tutorial starts
01:16 - Create a Google Cloud Service Account
03:34 - Create environment variable for authentication
04:26 - Python script development (Gemini API exercise)
#gemini #googlegemini #googlecloud #python
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📄 Source Code: wp.me/payCAw-1mo
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#excel #crypto #bitcoin #cryptocurrency
Whether you are a beginner or an experienced professional, this video will provide you with the knowledge and skills you need to excel in your interview. By the end of this tutorial, you'll be able to confidently answer any SQL question that comes your way and impress your interviewer.
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#sql #sqlinterview #sqlserver
📑 AWS Doc: docs.aws.amazon.com
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00:00 - Create users
02:26 - set up profile in user directory
06:03 - use a different profile
06:57 - provide the user credential access key manually
#aws #awstrainingvideos #awstraining


