Simplified CSS learning roadmap:
๐ถโโ๏ธ๐ถโโ๏ธ๐ฃ Beginner:
1. ๐ Learn CSS syntax
2. ๐จ Understand basic selectors
3. ๐ Study box model
4. ๐งฉ Explore properties
๐โโ๏ธ๐โโ๏ธ๐จ Intermediate:
5. ๐ญ Master flexbox
6. ๐ Dive into grid
7. ๐ Add animations
8. โ๏ธ Apply transitions
๐๐จโ๐ป Expert:
9. ๐ Create responsive layouts
10. ๐ฆ Utilize CSS frameworks
11. ๐ Optimize with preprocessors
12. ๐ก CSS-in-JS for advanced dev
๐ถโโ๏ธ๐ถโโ๏ธ๐ฃ Beginner:
1. ๐ Learn CSS syntax
2. ๐จ Understand basic selectors
3. ๐ Study box model
4. ๐งฉ Explore properties
๐โโ๏ธ๐โโ๏ธ๐จ Intermediate:
5. ๐ญ Master flexbox
6. ๐ Dive into grid
7. ๐ Add animations
8. โ๏ธ Apply transitions
๐๐จโ๐ป Expert:
9. ๐ Create responsive layouts
10. ๐ฆ Utilize CSS frameworks
11. ๐ Optimize with preprocessors
12. ๐ก CSS-in-JS for advanced dev
โค1
Emmersive Learning
https://www.youtube.com/watch?v=U9mJuUkhUzk
A quick, no BS recap of OpenAI Dev Day announcements
So you don't have to watch a 1 hour long live-stream:
GPT 4-Turbo
โข GPT 4-Turbo is now available via the API
โข 128k token context (vs. 32k previously)
โข More than 50% cheaper than GPT-4
โข April 2023 Knowledge cutoff (vs. Sept 2021)
โข Improved performance from GPT-4
โข Can now provide images along side your text input prompt via API
โข A new JSON mode that forces GPT to respond in pure JSON
โข More generous rate limiting
Custom GPTs
โข Users can build their own "Custom GPTs" that are specialized for specific tasks
โข You can make CustomGPTs without coding. Use natural language, and upload files for context
โข Enterprises can make company & org-specific Custom-GPTs
โข OpenAI is giving us two Custom GPTs to start: Canva and ZapierAI
Custom GPT Store
โข Users can upload their CustomGPTs to the store for others to use
โข OpenAI will provide a revenue share program, where authors of popular models will receive $.
Assistants API
โข The assistants API lets you build autonomous agents that have access to tools.
โข OpenAI currently provides 3 tools to start: Code Interpreter (coding), Retrieval (Custom Knowledge), and Function Calling
โข Just like with the normal API, you specify its role via a a custom instruction.
Human Quality Speech
โข Open AI released the tts-1 and tts-1-hd models.
โข The tts-1 model is optimized for speed, and tts-1-hd model for quality
โข Choose from 1 out of 6 voice types and create realistic sounding human speech from an API
Copyright Shield
โข Protects you and your company from copyright claims when using OpenAI's products
Whisper V3
โข As a quick recap, Whisper is OpenAI's speech-to-text model. It transcribes voice and outputs text.
โข Whisper is open source, and V3 was also released as open source.
โข It seems via the API (paid), Whisper v3 is not available yet at the moment.
Custom Models for Enterprise
โข For select companies, OpenAI's research team will create a custom model for your enterprise with specific domain knowledge.
That about wraps up everything!
As a developer, I'm most excited about the GPT 4-Turbo updates.
I'm also curious to see how the Assistants API will work, and if it will make abstraction layers like Langchain redundant, since retrieval is built-in to the API.
So you don't have to watch a 1 hour long live-stream:
GPT 4-Turbo
โข GPT 4-Turbo is now available via the API
โข 128k token context (vs. 32k previously)
โข More than 50% cheaper than GPT-4
โข April 2023 Knowledge cutoff (vs. Sept 2021)
โข Improved performance from GPT-4
โข Can now provide images along side your text input prompt via API
โข A new JSON mode that forces GPT to respond in pure JSON
โข More generous rate limiting
Custom GPTs
โข Users can build their own "Custom GPTs" that are specialized for specific tasks
โข You can make CustomGPTs without coding. Use natural language, and upload files for context
โข Enterprises can make company & org-specific Custom-GPTs
โข OpenAI is giving us two Custom GPTs to start: Canva and ZapierAI
Custom GPT Store
โข Users can upload their CustomGPTs to the store for others to use
โข OpenAI will provide a revenue share program, where authors of popular models will receive $.
Assistants API
โข The assistants API lets you build autonomous agents that have access to tools.
โข OpenAI currently provides 3 tools to start: Code Interpreter (coding), Retrieval (Custom Knowledge), and Function Calling
โข Just like with the normal API, you specify its role via a a custom instruction.
Human Quality Speech
โข Open AI released the tts-1 and tts-1-hd models.
โข The tts-1 model is optimized for speed, and tts-1-hd model for quality
โข Choose from 1 out of 6 voice types and create realistic sounding human speech from an API
Copyright Shield
โข Protects you and your company from copyright claims when using OpenAI's products
Whisper V3
โข As a quick recap, Whisper is OpenAI's speech-to-text model. It transcribes voice and outputs text.
โข Whisper is open source, and V3 was also released as open source.
โข It seems via the API (paid), Whisper v3 is not available yet at the moment.
Custom Models for Enterprise
โข For select companies, OpenAI's research team will create a custom model for your enterprise with specific domain knowledge.
That about wraps up everything!
As a developer, I'm most excited about the GPT 4-Turbo updates.
I'm also curious to see how the Assistants API will work, and if it will make abstraction layers like Langchain redundant, since retrieval is built-in to the API.
โค1
Elon ๐ณ๐ณ๐๐๐๐๐
is this the richest man of the planet ?๐๐
is this the richest man of the planet ?๐๐
๐1
Javascript Roadmap:
๐ Basics:
Variables, data types, operators, control structures
๐ DOM Manipulation:
Selecting, creating, and modifying HTML elements
๐ก Async Programming:
Promises, Async/Await, Callbacks
๐ฆ Packages:
NPM, Yarn, PNPM, package.json, dependencies, devDependencies
๐ง Tools:
Git, Vite, Webpack, Babel, ESLint, Prettier
๐ฅ Collaboration:
Github, Pull Requests, Code Reviews
๐ APIs:
AJAX, Fetch/Axios, RESTful APIs
๐จ Frontend Frameworks:
React, Vue, Angular, Svelte
๐ป Backend Frameworks:
Node.js, Express, Koa, Nest.js
๐ Databases:
MySQL, Postgres, MongoDB Firebase
๐ Deployment:
AWS, Heroku, Netlify, DigitalOcean, Hetzner, Vercel
๐งช Testing:
Unit testing, integration testing, end-to-end testing
๐ Security:
Authentication, Authorization
๐ Performance:
Optimization, lazy loading, code splitting
You don't have to learn all DBs, front-end, back-end frameworks, and all platforms for deployment.
๐ Basics:
Variables, data types, operators, control structures
๐ DOM Manipulation:
Selecting, creating, and modifying HTML elements
๐ก Async Programming:
Promises, Async/Await, Callbacks
๐ฆ Packages:
NPM, Yarn, PNPM, package.json, dependencies, devDependencies
๐ง Tools:
Git, Vite, Webpack, Babel, ESLint, Prettier
๐ฅ Collaboration:
Github, Pull Requests, Code Reviews
๐ APIs:
AJAX, Fetch/Axios, RESTful APIs
๐จ Frontend Frameworks:
React, Vue, Angular, Svelte
๐ป Backend Frameworks:
Node.js, Express, Koa, Nest.js
๐ Databases:
MySQL, Postgres, MongoDB Firebase
๐ Deployment:
AWS, Heroku, Netlify, DigitalOcean, Hetzner, Vercel
๐งช Testing:
Unit testing, integration testing, end-to-end testing
๐ Security:
Authentication, Authorization
๐ Performance:
Optimization, lazy loading, code splitting
You don't have to learn all DBs, front-end, back-end frameworks, and all platforms for deployment.
โค1
Forwarded from Pavel Durov
To celebrate our new feature, Iโm hosting a giveaway of 10,000 Telegram Premium subscriptions
In a week, 10,000 random subscribers of my channel will receive a Telegram Premium subscription for 6 months
I have already prepaid for this giveaway on Fragment with $200,000-worth of
Toncoin I bought on a cryptoexchange. Enjoy!
Please open Telegram to view this post
VIEW IN TELEGRAM
Pavel Durov
subscribe his channel, you may be winner
๐1
Forwarded from Ethiopian Business Daily
แจแแแแฝ แจแแแแชแซแแ แจแฐแ แฐแซแฝ แ แตแฐแแแต (AI) แตแซ แ แตแแปแ แฐแแแแต
แแซ แตแฃแแแฝแค แจแแแแ แฐแ แฐแซแฝ แ แตแฐแแแต (AI) แจแแตแ แแ แฒแญแณแถแญ แจแฐแฐแ แฉแฃแแซ แแ แตแซ แ แตแแปแ แแ แฐแพแแแฝแข
แ แแจแแแน 2015 แถแแซ แจแฐแฐแแฝแแ แฎแฆแต แจแฐแซแ แแแฐแ แฎแฆแฒแญแต แซแ แแธแแต แญแ แฝ แแซ แจแฐแฐแแฝ แฎแฆแตแฃ แฒแญแณแถแญ แจแฐแฃแแแ แฉแฃแแซ แ แแ แตแซ แ แตแแปแแแต แจแแแซแตแ แฃแแ แฐแแแ แแญแ แจแฐแแซแฉ แฆแญแถแฝ แ แฃแแ แ แแแ แจแแแแฝแ แจแแแแชแซแ แแแแ แแญแต แแแต แ แตแแฅแงแแข
แฎแฆแถแฝ แจแฐแแ แจแแแ แต แตแซ แ แ แญแก แญแฐแซแ แฐแฅแ แ แแฐแแ แต แ แแ แแ แต แฐแ แฐแซแฝ แ แตแฐแแแต แฐแแ แแแฝ แจแแ แซ แตแซแแฝแ แแแฃแ แฉ แญแ แ แตแแต แแฐ แฅแแแณ แฅแจแแจแจแ แญแแตแแแข
Source: Seleda
@Ethiopianbusinessdaily
แแซ แตแฃแแแฝแค แจแแแแ แฐแ แฐแซแฝ แ แตแฐแแแต (AI) แจแแตแ แแ แฒแญแณแถแญ แจแฐแฐแ แฉแฃแแซ แแ แตแซ แ แตแแปแ แแ แฐแพแแแฝแข
แ แแจแแแน 2015 แถแแซ แจแฐแฐแแฝแแ แฎแฆแต แจแฐแซแ แแแฐแ แฎแฆแฒแญแต แซแ แแธแแต แญแ แฝ แแซ แจแฐแฐแแฝ แฎแฆแตแฃ แฒแญแณแถแญ แจแฐแฃแแแ แฉแฃแแซ แ แแ แตแซ แ แตแแปแแแต แจแแแซแตแ แฃแแ แฐแแแ แแญแ แจแฐแแซแฉ แฆแญแถแฝ แ แฃแแ แ แแแ แจแแแแฝแ แจแแแแชแซแ แแแแ แแญแต แแแต แ แตแแฅแงแแข
แฎแฆแถแฝ แจแฐแแ แจแแแ แต แตแซ แ แ แญแก แญแฐแซแ แฐแฅแ แ แแฐแแ แต แ แแ แแ แต แฐแ แฐแซแฝ แ แตแฐแแแต แฐแแ แแแฝ แจแแ แซ แตแซแแฝแ แแแฃแ แฉ แญแ แ แตแแต แแฐ แฅแแแณ แฅแจแแจแจแ แญแแตแแแข
Source: Seleda
@Ethiopianbusinessdaily
Step1 โ HTML
Step2 โ CSS
Step3 โ JavaScript
Step4 โ Git+GitHub
Step5 โ Build Project ๐
Step6 โ React
Step7 โ Node.js
Step8 โ Build an API
Step9 โ Build Project ๐
Step10 โ Next.js
Step11 โ CI/CD
Step12 โ CockroachDB
Step13 โ Build Project ๐
๐ โ Full Stack developer
โโโโโโโโโโโโ
for more join ๐
@EmmersiveLearning
https://www.youtube.com/@EmmersiveLearning/
Step2 โ CSS
Step3 โ JavaScript
Step4 โ Git+GitHub
Step5 โ Build Project ๐
Step6 โ React
Step7 โ Node.js
Step8 โ Build an API
Step9 โ Build Project ๐
Step10 โ Next.js
Step11 โ CI/CD
Step12 โ CockroachDB
Step13 โ Build Project ๐
๐ โ Full Stack developer
โโโโโโโโโโโโ
for more join ๐
@EmmersiveLearning
https://www.youtube.com/@EmmersiveLearning/
๐4
What's your Web development Stack ?
โข MERN Stack
โข MEAN Stack
โข LAMP Stack
โข SERN Stack
โข MERN Stack
โข MEAN Stack
โข LAMP Stack
โข SERN Stack
โค1
Master These Skills To Be The Best PROGRAMMER ๐จ๐ปโ๐ป
โก๏ธ Positive Attitude
โก๏ธ Strong Communication Skills
โก๏ธ Effective Time and Task Management
โก๏ธ Quick Learning Ability
โก๏ธ Deep and Broad Technical Experience
โก๏ธ Great Team Player and Leadership
โก๏ธ Big Picture Focus
โก๏ธ Positive Attitude
โก๏ธ Strong Communication Skills
โก๏ธ Effective Time and Task Management
โก๏ธ Quick Learning Ability
โก๏ธ Deep and Broad Technical Experience
โก๏ธ Great Team Player and Leadership
โก๏ธ Big Picture Focus
โค1
Complete DevOps Road Map๐๐ฅ
1.Version Controls
โข Git
โข GitHub
โข GitLab
โข Bitbucket
2.Continuous Integration (CI)
โข Jenkins
โข Travis CI
โข CircleCI
โข Automated Build
โข Automatic Test Pipelines
โข Code Quality Checks
3.Containerization and Orchestration
โข Docker
โข Kubernetes
โข Docker Compose
4.Infrastructure as Code (IaC)
โข Terraform
โข Ansible
โข Puppet
โข Chef
5.Continuous Deployment and Delivery (CD)
โข Deployment Automation
โข Canary Deployments
โข Blue-Green Deployments
6.Monitoring
โข Prometheus
โข Grafana
โข Nagios
7.Logging
โข ELK Stack - Elasticsearch
โข Logstash
โข Kibana
8.Collaboration and Communication
โข Slack
โข Microsoft Teams
โข JIRA
โข Trello
9. Cloud Platforms
โข AWS
โข Azure
โข Google Cloud Platform
10. Security
โข Security Best Practices
โข Vulnerability Scanning
โข Penetration Testing
โข SSL/TLS Certificates
โข Encryption
11.Collaborative Development Tools
โข Version Control Branching Strategies
โข Code Review Processes
โข Pair Programming
12.Networking and Protocols
โข TCP/IP Networking Basics
โข HTTP/HTTPS Protocols
โข Load Balancing Concepts
13. Build and Release Management
โข Build Automation Tools (Maven, Gradle, Ant)
โข Dependency Management
โข Release Versioning and Rollbacks
14.Database Management
โข Database Versioning
โข Database Migrations
โข Backup and Recovery Strategies
15.Microservices Architecture
โข Microservices Principles
โข API Gateways
โข Service Discovery and Registration
16.Serverless Computing
โข AWS Lambda
โข Azure Functions
โข Serverless Framework
โข Event-Driven Architectures
17.Performance Optimization
โข Load Testing (JMeter, Gatling)
โข Caching Strategies
โข Content Delivery Networks (CDNs)
18.Incident Response and Disaster Recovery
โข Incident Management Processes
โข Backup and Restore Procedures
โข Disaster Recovery Planning
19.Documentation and Knowledge Sharing
โข Wiki Tools (Confluence, DokuWiki)
โข Runbooks and Playbooks
โข Knowledge Sharing Sessions
------------------- END --------------------
Feel free to add anything I missed๐๐ฑ๐ฑ
1.Version Controls
โข Git
โข GitHub
โข GitLab
โข Bitbucket
2.Continuous Integration (CI)
โข Jenkins
โข Travis CI
โข CircleCI
โข Automated Build
โข Automatic Test Pipelines
โข Code Quality Checks
3.Containerization and Orchestration
โข Docker
โข Kubernetes
โข Docker Compose
4.Infrastructure as Code (IaC)
โข Terraform
โข Ansible
โข Puppet
โข Chef
5.Continuous Deployment and Delivery (CD)
โข Deployment Automation
โข Canary Deployments
โข Blue-Green Deployments
6.Monitoring
โข Prometheus
โข Grafana
โข Nagios
7.Logging
โข ELK Stack - Elasticsearch
โข Logstash
โข Kibana
8.Collaboration and Communication
โข Slack
โข Microsoft Teams
โข JIRA
โข Trello
9. Cloud Platforms
โข AWS
โข Azure
โข Google Cloud Platform
10. Security
โข Security Best Practices
โข Vulnerability Scanning
โข Penetration Testing
โข SSL/TLS Certificates
โข Encryption
11.Collaborative Development Tools
โข Version Control Branching Strategies
โข Code Review Processes
โข Pair Programming
12.Networking and Protocols
โข TCP/IP Networking Basics
โข HTTP/HTTPS Protocols
โข Load Balancing Concepts
13. Build and Release Management
โข Build Automation Tools (Maven, Gradle, Ant)
โข Dependency Management
โข Release Versioning and Rollbacks
14.Database Management
โข Database Versioning
โข Database Migrations
โข Backup and Recovery Strategies
15.Microservices Architecture
โข Microservices Principles
โข API Gateways
โข Service Discovery and Registration
16.Serverless Computing
โข AWS Lambda
โข Azure Functions
โข Serverless Framework
โข Event-Driven Architectures
17.Performance Optimization
โข Load Testing (JMeter, Gatling)
โข Caching Strategies
โข Content Delivery Networks (CDNs)
18.Incident Response and Disaster Recovery
โข Incident Management Processes
โข Backup and Restore Procedures
โข Disaster Recovery Planning
19.Documentation and Knowledge Sharing
โข Wiki Tools (Confluence, DokuWiki)
โข Runbooks and Playbooks
โข Knowledge Sharing Sessions
------------------- END --------------------
Feel free to add anything I missed๐๐ฑ๐ฑ
โค1
Embrace the tech world:
- โ๏ธ Cloud Computing
- ๐ฒ Git Version Control
- ๐ป DevOps
- ๐ Microservices
- ๐ฆ Containerization
- ๐ CI/CD Pipelines
- ๐ Data Analytics
- ๐ค Machine Learning
Stay ahead with these essentials! ๐
- โ๏ธ Cloud Computing
- ๐ฒ Git Version Control
- ๐ป DevOps
- ๐ Microservices
- ๐ฆ Containerization
- ๐ CI/CD Pipelines
- ๐ Data Analytics
- ๐ค Machine Learning
Stay ahead with these essentials! ๐