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Generative AI
10 Views · 7 months ago

Anthropic’s Barry Zhang (Applied AI), Erik Schluntz (Research), and Alex Albert (Claude Relations) discuss the potential of AI agents, common pitfalls to avoid, and how to prepare for the evolving landscape.

Read more advice on building agents: https://www.anthropic.com/rese....arch/building-effect

00:00 Introduction
00:26 Defining AI agents and workflows
02:55 Anatomy of an agent prompt
04:29 Behind the scenes stories
07:29 Why write about agents now
08:53 Overhyped and underhyped aspects of agents
09:57 Identifying useful applications of agents
10:47 Coding agents: Potential and challenges
12:47 The future of agents in 2025
16:26 Advice for developers exploring agents

Generative AI
10 Views · 2 years ago

🔵 Intellipaat Salesforce Training: https://intellipaat.com/salesforce-training/
In this Salesforce For Beginners video, you will learn salesforce platform development from scratch to the most advanced concepts. This salesforce courvideo for beginners has covered everything you need to know about salesforce to become a salesforce developer. We have added salesforce interview questions also at the last so that you can prepare for the job interview as well.

#SalesforceDeveloperCourse #SalesforcePlatformDeveloperTraining #SalesforceDeveloper
#SalesforceDeveloperTutorial #SalesforceForBeginners #LearnSalesforceIn9Hrs #SalesforceForNonIT #SalesforceTutorial #SalesforceCourse #Intellipaat

🔵Following topics are covered in this video
00:00 - Salesforce For Beginners.
02:05 - Introduction To Salesforce
10:08 - Why Salesforce?
13:01 - Salesforce Architecture.
02:13:34 - Introduction to Reports.
04:59:11 - Lighting Framework.
07:47:55 - What is an app in Salesforce?
07:50:40 - Basic Concepts : Salesforce.
08:35:10 - Salesforce Interview Questions.


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Got any questions about salesforce? Ask us in the comment section below.
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Why should you watch this Salesforce tutorial?

Salesforce is a cloud-based platform that has transformed how companies have changed the ways to connect, build a meaningful and lasting bond with the customers, identify their needs and address problems faster and deploy apps that are customer-focused. We are offering the top Salesforce tutorial that can be watched by anybody to learn Salesforce.

Why Salesforce is important?

Salesforce is the most widely used CRM software in the world. It is accessible via the cloud platform and available on any device. Thanks to this extensive set of features for the entire sales, marketing and customer relationship life cycle there is increased demand for Salesforce developers and Salesforce administration professionals.

Why should you opt for a Salesforce career?

Customer Relationship Management is growing at a torrid pace as companies big and small are embracing CRM tools in order to make sense of their sales leads and cater to their customers in a better way with the upshot of earning more revenues. Also, it is a fact that Salesforce Developer in the United States can earn $1,00,000 – indeed.com.
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Generative AI
10 Views · 29 days ago

A complete crash course on agentic ai using langchain. This is also a course on generative AI. In this video, we will discuss theoratical foundations of generative AI and agentic AI. Langchain will be used for hands on programming. We will then build two projects (1) shopping agent (2) telecom RAG chatbot using langchain, chromadb, llama vision model, Qwen, gemini LLMs, streamlit, sqlite, huggingface and sentence transformers.

Download the resources here: https://codebasics.io/resource....s/agentic-ai-crash-c

No code agents: https://codebasics.io/ - Check "Our Live Cohorts" section

Langgraph tutorial: https://youtu.be/CnXdddeZ4tQ
Customer care support: https://youtu.be/Jekzc6BM5_w
Workflow automation: https://youtu.be/QBI5bmbgL38

Check out OpenRouter: https://openrouter.plug.dev/6QpCcgh

Codebasics AI Pro keeps you ahead of it: weekly tool tests, live build sessions, and AI you can actually apply at work: https://codebasics.io/ai-learning-for-professionals

⭐️ Timestamps ⭐️

0:00:00 Intro

0:01:53 What is Gen AI

0:03:10 Traditional AI

0:05:41 Transformer Architecture

0:11:13 LLM Parameters

0:13:28 LLM Analogy Based Explanation

0:18:41 API Key Setup

0:21:01 Simple LLM call using LangChain

0:41:50 RAG Theory

0:47:52 Vector DB - Hands On

0:53:50 Rag - Hands On

1:02:54 AI Agent Intro

1:03:31 What is an AI Agent

1:10:18 ReAct Loop

1:10:49 AI Agent Hands on

1:21:28 Multi-Agent system

1:21:48 Multi-Model Agent theory

1:23:31 Multi-modal agent – hands on

1:29:28 Evaluation

1:34:07 Guardrails

1:36:41 Project 1 – Shopping Agent

2:06:57 Project 2 – Telecom RAG

2:22:46 No Code Agents

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

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Generative AI
10 Views · 7 months ago

📚 Get access to the AI Agents Full Guide & all my AI resources on Skool: https://bit.ly/skool-ov
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This full course on AI agents is segmented into three chapters: foundational understanding of AI agents, hands-on tutorials for building various AI use cases, and strategies for monetization. You’ll gain insights into the anatomy of AI agents, practical steps for creating them using no-code platforms, and real-world applications to seize the growing opportunities in AI.

Timestamps:
0:00 - What We’re Covering
2:39 - Why Learn to Build AI Agents?
5:39 - What Are AI Agents?
6:40 - Chatbot or Agent?
8:44 - Anatomy of an AI Agent
12:34 - The Three Ingredients
13:58 - The Web, APIS, and Tools Explained
17:04 - Anatomy of a Tool
18:40 - Schemas: API Instruction Manuals
23:00 - Advanced Tools Use
26:11 - Conversational or Automated Agents
29:23 - Real-World Applications
32:39 - Foundations Summary
35:00 - What We’re Building
38:34 - Build 1
1:11:12 - Build 2
1:47:44 - Build 3
3:01:29 - Build 4
3:35:29 - The Real Opportunity
3:39:47 - Three Ways to Win
3:41:30 - Extending Your Knowledge Gap
3:45:49 - Getting Your First Clients
3:48:46 - Next Steps

Machine Learning
10 Views · 3 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎 ) : https://www.edureka.co/devops-....certification-traini
This Jenkins Full course will explain what is Jenkins, the problems it solved, continuous integration, its features, and architecture. You'll also see a case study that uses Jenkins. Jenkins is a continuous integration tool that enables the testing, deployment, and creation of new codes continuously. Let's get going now and learn how Jenkins is used in DevOps.
00:00:00 Introduction
00:01:12 Agenda
00:02:23 Jenkins Fundamentals
00:05:48 What is Continuous Integration
00:08:02 Case Study
00:09:37 What is Jenkins
00:13:44 What is Pipeline
00:15:58 WHat is JenkinFile
00:19:47 Hands-on
01:03:54 Jenkins Master & Slave Configuration
01:03:57 Jenkins Architecture
01:07:39 Demo
01:16:37 Jenkins Pipeline
01:18:43 CD Pipeline
01:22:14 Advantages of Continuous Delivery
01:23:37 Case Study
01:31:59 Pipeline Concepts
01:35:46 Create your First Jenkins Pipeline
01:38:35 Declarative Pipeline Demo
01:45:05 Scripted Pipeline Demo
01:48:57 Jenkins Git Integration
01:52:24 Why Git & Jenkins Together?
01:54:21 Demo
02:03:43 Docker Jenkins Pipeline
02:06:02 What are Microservices?
02:21:35 Prerequisites for Integration
02:28:26 Selenium Jenkins Integration
02:39:20 Hands-on
03:13:18 Jenkins Groovey
03:22:33 Declarative Vs Scripted
03:27:49 Webhooks in Jenkins
03:38:11 How to Integrate email notification?
03:45:47 SOnarQube Jenkins
03:47:10 Demo
03:53:46 How to use JMeter in Jenkins - Intro
03:55:53 How to use JMeter in Jenkins
04:15:33 WHat is Jenkins X
04:31:23 Jenkins Vs Bamboo
04:40:41 Which CI/CD ToolYou should choose?
04:42:26 Jenkins Interview Question & Answers
04:42:33 Jenkins Beginner Level Interview Q & A
04:51:32 Jenkins Intermediate Level Interview Q & A
05:04:13 Jenkin Advanced Level Interview Q & A

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

Machine Learning
10 Views · 3 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/devops-....certification-traini
This Edureka DevOps Engineer Full Course will help you learn DevOps concepts and DevOps tools with examples and demos starting from basics to advanced. You will understand how DevOps work and how it is implemented in the modern software development lifecycle.

00:00:00 Introduction
00:01:25 Agenda
00:02:51 What is DevOps?
00:06:40 What is Cloud Computing
00:14:07 Microsoft Azure
00:14:14 How to launch these services in DevOps
00:29:51 Demo
00:47:59 DevOps Certification
00:49:40 Types of DevOps Certifications
00:58:55 How to create DevOps Free Account
01:04:26 DevOps Portals
01:18:29 DevOps Virtual Machine
01:22:36 DevOps VM Architecture
01:31:33 DevOps VM Hands-on
01:39:54 Introduction to DevOps Kubernetes Services
01:46:12 Container Vs VM
01:51:14 What is Kubernetes
02:06:32 Working of AKS
02:10:43 Use Case
02:29:31 ARM Templates
02:52:31 Demo
02:57:48 What is DevOps Active Directory
03:02:35 Service Audience
03:05:01 Active Directory Tenants
03:06:29 Demo
03:47:45 DevOps Tools
04:09:24 DevOps Automation
04:12:17 What is Git?
04:36:47 Git Operations & Commands
05:04:39 Introduction to SSH Keys
05:06:34 GitHub Basics
05:11:23 Getting Started with GitHub
05:18:30 Creating a Repository
05:26:39 Make a Commit
05:31:02 Open & Merge Pull Request
05:36:07 Jenkins - CI/CD
05:53:33 Hands-on
06:37:27 Docker - Containerization
06:49:25 What is DockerImage
06:52:21 What is Dockerfile
06:55:39 Docker Commands
07:01:34 Hands-on
07:13:48 DevOps Basics
07:36:08 Case Study
07:37:38 DevOps Testplan
07:46:58 Hands-on
08:03:07 DevOps Artifacts
08:07:16 Demo
08:26:54 Boards
08:30:25 Demo - Boards Walkthrough
08:39:39 DevOps Pipeline
08:43:32 Demo
08:52:30 DevOps CI/CD Pipeline
09:26:48 AWS DevOps Vs Azure DevOps
09:30:32 DevOps Interview Questions& Answers

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J

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🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

#devops #devopstraining #devopstutorial #edureka #devopstools #devopshandson #devopscourse #devopsforbeginners #devopsfullcourse

Generative AI
10 Views · 3 years ago

🔥 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 : https://www.edureka.co/masters....-program/machine-lea (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on "Artificial Intelligence Full Course" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
00:00:00 Introduction
00:01:16 Agenda
00:02:22 What is AI
00:15:38 Examples of AI
00:21:16 Deep learning IS machine learning
00:26:53 AI Explained
00:28:19 AI Vs ML Vs DL
00:29:09 Importance of AI
00:31:23 Types of AI
00:32:53 Applications of AI
00:37:33 Domains of AI
00:40:21 Job Profiles in AI
00:43:54 Object Detection
00:55:28 How to become an AI Engineer
01:07:55 Stages of AI
01:12:54 Domains of AI
01:15:42 AI With Python
01:38:50 Introduction to ML
01:49:42 Types of ML
01:59:13 ML Algorithm
02:14:17 Limitations of ML
02:16:15 Introduction to DL
02:20:09 Use Cases of DL
02:43:05 NLP
02:47:13 What is NLP
02:48:13 Applications of NLP
03:05:56 TensorFlow Explained
03:15:41 TensorFlow
03:22:17 Hands-On
03:30:48 Convolutional Neural Networks
03:36:00 Convolutional Layer
03:46:44 Use Cases
03:56:25 What are Artificial Neural Networks
04:08:43 Training a Neural Network
04:20:05 Applications of Neural Network
04:23:11 Recurrent Neural Network
04:35:10 Long Short-Term Memory Networks
04:44:47 Long Short-Term Memory Networks - Use Case
04:52:04 Keras
05:02:40 Use Case With Keras
05:17:10 A* Algorithm in AI
05:41:52 Cognitive AI
05:46:51 COgnitive AI - Use Cases
05:50:14 Q Learning Explained
06:04:49 Transitioning to Q Learning
06:16:37 Water Jug Problem in AI
06:38:21 ChatGpt Explained
06:47:59 Dangers of AI
06:53:48 What AI is Like Right Now?
07:00:28 Mid-term dangers
07:08:43 What Does the Future Hold
07:10:41 Knowledge Representation in AI
07:26:10 Hill Climbing Algorithm
07:55:20 TOp 10 APplications of AI
08:09:59 Top 10 AI technologies
08:19:03 Top 10 Benefits of AI
08:30:52 AI Roadmap
08:42:21 AI Interview Questions & Answers

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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Got a question on the topic? Please share it in the comment section below and our experts will answer.

Please write to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

Generative AI
10 Views · 3 years ago

Learn how to build your own large language model, from scratch. This course goes into the data handling, math, and transformers behind large language models. You will use Python.

✏️ Course developed by @elliotarledge

💻 Code and course resources: https://github.com/Infatoshi/fcc-intro-to-llms

Join Elliot's Discord server: https://discord.gg/pV7ByF9VNm

⭐️ Contents ⭐️
(0:00:00) Intro
(0:03:25) Install Libraries
(0:06:24) Pylzma build tools
(0:08:58) Jupyter Notebook
(0:12:11) Download wizard of oz
(0:14:51) Experimenting with text file
(0:17:58) Character-level tokenizer
(0:19:44) Types of tokenizers
(0:20:58) Tensors instead of Arrays
(0:22:37) Linear Algebra heads up
(0:23:29) Train and validation splits
(0:25:30) Premise of Bigram Model
(0:26:41) Inputs and Targets
(0:29:29) Inputs and Targets Implementation
(0:30:10) Batch size hyperparameter
(0:32:13) Switching from CPU to CUDA
(0:33:28) PyTorch Overview
(0:42:49) CPU vs GPU performance in PyTorch
(0:47:49) More PyTorch Functions
(1:06:03) Embedding Vectors
(1:11:33) Embedding Implementation
(1:13:06) Dot Product and Matrix Multiplication
(1:25:42) Matmul Implementation
(1:26:56) Int vs Float
(1:29:52) Recap and get_batch
(1:35:07) nnModule subclass
(1:37:05) Gradient Descent
(1:50:53) Logits and Reshaping
(1:59:28) Generate function and giving the model some context
(2:03:58) Logits Dimensionality
(2:05:17) Training loop + Optimizer + Zerograd explanation
(2:13:56) Optimizers Overview
(2:17:04) Applications of Optimizers
(2:18:11) Loss reporting + Train VS Eval mode
(2:32:54) Normalization Overview
(2:35:45) ReLU, Sigmoid, Tanh Activations
(2:45:15) Transformer and Self-Attention
(2:46:55) Transformer Architecture
(3:17:54) Building a GPT, not Transformer model
(3:19:46) Self-Attention Deep Dive
(3:25:05) GPT architecture
(3:27:07) Switching to Macbook
(3:31:42) Implementing Positional Encoding
(3:36:57) GPTLanguageModel initalization
(3:40:52) GPTLanguageModel forward pass
(3:46:56) Standard Deviation for model parameters
(4:00:50) Transformer Blocks
(4:04:54) FeedForward network
(4:07:53) Multi-head Attention
(4:12:49) Dot product attention
(4:19:43) Why we scale by 1/sqrt(dk)
(4:26:45) Sequential VS ModuleList Processing
(4:30:47) Overview Hyperparameters
(4:32:14) Fixing errors, refining
(4:34:01) Begin training
(4:35:46) OpenWebText download and Survey of LLMs paper
(4:37:56) How the dataloader/batch getter will have to change
(4:41:20) Extract corpus with winrar
(4:43:44) Python data extractor
(4:49:23) Adjusting for train and val splits
(4:57:55) Adding dataloader
(4:59:04) Training on OpenWebText
(5:02:22) Training works well, model loading/saving
(5:04:18) Pickling
(5:05:32) Fixing errors + GPU Memory in task manager
(5:14:05) Command line argument parsing
(5:18:11) Porting code to script
(5:22:04) Prompt: Completion feature + more errors
(5:24:23) nnModule inheritance + generation cropping
(5:27:54) Pretraining vs Finetuning
(5:33:07) R&D pointers
(5:44:38) Outro

🎉 Thanks to our Champion and Sponsor supporters:
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Generative AI
10 Views · 3 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/devops-....certification-course
This Edureka DevOps and Cloud Computing Full Course will help you learn DevOps concepts and DevOps tools with examples and demos starting from basics to advanced. You will understand how DevOps work and how it is implemented in the modern software development lifecycle. Furthermore, we'll cover the fundamentals of cloud computing, the cloud computing lifecycle, and important concepts of AWS, Azure, Google Cloud Platform services for DevOps.

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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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Generative AI
10 Views · 3 years ago

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Generative AI
10 Views · 3 years ago

Learn Python programming in this complete course for beginners. This tutorial features mini-projects throughout so you can put what you learn into use immediately.

💻 Resources: https://github.com/gitdagray/python-course

✏️ Course developed by @DaveGrayTeachesCode

⭐️ Contents ⭐️
(0:00:00) Intro
(0:01:23) Chapter 1 - Getting Started
(0:14:50) Chapter 2 - Python Basics
(0:29:58) Chapter 3 - Operators
(0:46:18) Chapter 4 - Data Types
(1:23:25) Chapter 5 - User Input
(1:45:31) Chapter 6 - Lists & Tuples
(2:17:00) Chapter 7 - Dictionaries & Sets
(2:46:23) Chapter 8 - Loops
(3:09:03) Chapter 9 - Functions
(3:23:48) Chapter 10 - Recursion
(3:41:11) Chapter 11 - Scope
(4:00:30) Chapter 12 - Closures
(4:19:32) Chapter 13 - f-Strings
(4:42:15) Chapter 14 - Modules
(4:59:47) Chapter 15 - Command Line Arguments
(5:20:39) Chapter 16 - Challenges
(5:35:59) Chapter 17 - Lambda & Higher Order Functions
(5:56:45) Chapter 18 - Classes & Objects
(6:15:44) Chapter 19 - Exceptions & Errors
(6:27:29) Chapter 20 - OOP Project
(6:57:15) Chapter 21 - Virtual Environments & PIP
(7:27:23) Chapter 22 - File Operations
(7:49:32) Chapter 23 - Final Project


🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

Generative AI
10 Views · 3 years ago

*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️
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🔥Caltech Data Analytics Bootcamp(US Only): https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=Tableau-fO7g0pnWaRA&utm_medium=DescriptionFF&utm_source=youtube
🔥Data Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=Tableau-fO7g0pnWaRA&utm_medium=DescriptionFF&utm_source=youtube

This Tableau Tutorial For Beginners video will help you understand what is business intelligence why we need business intelligence, what are the various business intelligence tools, what is Tableau, why Tableau, how to install Tableau, and along with that you will also see how to get started with Tableau and it features such as worksheets, dashboards, hierarchy, calculated fields, parameters, sets, and charts.

Tableau Training For Beginners Part 2: https://www.youtube.com/watch?v=bI7CcCnrR-k

Below topics are explained in this Tableau training for beginners video:
00:00 Introduction to Tableau Tutorial For Beginners
1. Business intelligence ( 00:53 ) Tableau Tutorial For Beginners
- Why BI? ( 01:04 )
- BI tools ( 01:37 )
2. Tableau ( 01:53 ) Tableau Tutorial For Beginners
- Why Tableau? ( 01:57 )
- Tableau installation 05:54
3. Getting started 06:55 Tableau Tutorial For Beginners
- Connecting to data 06:58
- Tableau workspace 09:06
4. Worksheets & dashboards 10:10 Tableau Tutorial For Beginners
- Asking questions using visualizations 11:20
- Hierarchy & drill down 31:04
- Calculated fields 40:13
- Parameters & sets 49:50
- Donut chart & 2-d pie chart 01:01:22

🔥Explore our FREE Courses: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=Tableau&utm_medium=Description&utm_source=youtube

Dataset Link - https://drive.google.com/drive..../folders/1FWRXs0Qvuy

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Analytics tutorial videos: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#tableaututorial #tableaucertification #tableaudataanalysis #tableauvisualization #tableau #tableautraining #tableaututorial #simplilearn #tableauTutorialForBeginners

What is Tableau?
Tableau is an interactive data visualization tool focused on business intelligence. It helps in simplifying the job of representing the raw data in the form of easily understandable and interactive graphs and charts. Tableau enables connectivity with a wide range of data sources like cloud, CSV files, databases, and much more.

Why learn Tableau?
Everything we do is increasingly contributing to huge amounts of data which can be leveraged by organizations to increase their business. Organizations across the world make use of Tableau to analyze this huge amount of data and derive actionable insights from it. Tableau can help you to create complex and beautiful data visualizations. With its intuitive and user-friendly approach to data visualization, Tableau is today, a popular choice for big and small organizations.

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
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- Resume preparation and LinkedIn profile building
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Generative AI
10 Views · 3 years ago

React: Set State with this.setState


#100DaysOfCode

Generative AI
10 Views · 3 years ago

In this project tutorial, you will build a LeetCode clone with React, Tailwind CSS, Next.JS, Typescript, and Firebase. Also deploy it to Vercel at the end.

💻 Source Code: https://github.com/burakorkmez..../leetcode-clone-yout
💻 Github Gist: https://gist.github.com/burako....rkmez/5ba4c1a910f396
🔗 Demo Project: https://leetclone.vercel.app/problems/two-sum
🔗 Discord Server(to ask questions): https://discord.gg/YFn2WyheZV

Course created by @asaprogrammer_

⭐️ Contents ⭐️
0:00:00 Intro
0:00:29 Demo of The App
0:05:23 Project Setup
0:08:51 Auth Page Setup
0:13:19 Auth Page Navbar
0:18:54 AuthModal Layout UI
0:22:16 Login UI
0:29:41 Signup UI
0:31:59 ResetPassword UI
0:33:13 Integrating Recoil Auth State
0:47:31 Firebase Setup
0:52:41 Signup Functionality
1:01:21 Login Functionality
1:05:14 Auth Page Route Guard
1:08:01 Home Page UI
1:12:50 Problems Table UI
1:21:01 Youtube Video Modal
1:29:51 Topbar Update On Auth
1:32:46 Logout Functionality
1:37:11 Auth Modal Optimizations
1:38:44 Reset Password Functionality
1:42:56 React Toastify
1:47:19 Image optimizations
1:54:33 Creating [pid] page and update topbar
2:02:27 Creating Timer.tsx
2:12:31 Creating Workspace.tsx
2:15:18 Splitting The Page
2:19:47 Creating ProblemDescrition.tsx
2:26:03 Creating PreferenceNav.tsx
2:34:39 Creating Code Editor
2:41:10 Adding Test Cases UI
2:50:15 Creating EditorFooter.tsx
2:56:32 Data Handling Explained
3:01:50 Two Sum Problem
3:12:52 Reverse Linked List
3:18:05 Jump Game Problem
3:20:13 Valid Parentheses Problem
3:21:16 Search 2d Matrix Problem
3:22:01 Using SSG for [pid].tsx
3:46:47 Updating testcases UI
3:51:39 Initializing Firestore
3:55:56 Adding problems to DB
4:12:09 Fetch Problems
4:32:58 Create Users in DB
4:40:33 Fetch problem data
4:51:28 Loading skeletons
4:56:35 Get user data on the problem
5:06:23 Like functionality
5:27:51 Dislike functionality
5:39:03 Star functionality
5:46:03 Next and Previous problem
5:55:23 Solving Hydration Error
5:58:08 Confetti Celebration
6:01:43 Code Submission
6:20:50 Save code to localstorage
6:24:48 Solving bugs
6:31:08 Toggle Full Screen
6:34:13 SettingsModal UI
6:41:33 SettingsModal Functionality
6:54:23 Update Home Page
6:59:11 Sandboxing technique
7:01:58 Deployment
7:05:08 Firebase Rules

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

Generative AI
10 Views · 3 years ago

Improve your Python and Pygame skills by building the classic pong game, but this time with extra features. This beginner's tutorial is a great way to start learning how to create engaging games with unique mechanics.

✏️ Course created by @SMDS_Studio

💻 Code: https://github.com/SMDS-Studio..../Building-a-New-crea

⭐️ Contents ⭐️
(00:00) Intro
(01:09) Agenda of the course
(02:04) Traditional pong
(26:09) Creative angles
(30:21) Smash element
(38:03) Flash element
(41:10) Ball cloning
(51:51) Paddle cloning
(1:01:55) End screen element

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

Generative AI
10 Views · 3 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐞𝐚𝐜𝐭 𝐉𝐒 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/reactjs....-redux-certification (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on What Is React will help you in understanding the fundamentals of ReactJS and help you in building a strong foundation in React.
00:00:00 Introduction
00:00:33 Agenda
00:00:58 JavaScript
00:02:15 Advantage of JavaScript Framework
00:04:45 JavaScript Framework
00:08:37 Why Reacts?
00:09:55 DOM Manipulation
00:11:25 What is ReactJS?
00:15:26 Virtual DOM
00:17:28 ReactJS Application

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


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