Simplified CSS learning roadmap:
🚶♂️🚶♀️👣 Beginner:
1. 📜 Learn CSS syntax
2. 🎨 Understand basic selectors
3. 📏 Study box model
4. 🧩 Explore properties
🏃♂️🏃♀️💨 Intermediate:
5. 🎭 Master flexbox
6. 📐 Dive into grid
7. 🎉 Add animations
8. ⚙️ Apply transitions
🚀👨💻 Expert:
9. 🌐 Create responsive layouts
10. 📦 Utilize CSS frameworks
11. 🔄 Optimize with preprocessors
12. 💡 CSS-in-JS for advanced dev
🚶♂️🚶♀️👣 Beginner:
1. 📜 Learn CSS syntax
2. 🎨 Understand basic selectors
3. 📏 Study box model
4. 🧩 Explore properties
🏃♂️🏃♀️💨 Intermediate:
5. 🎭 Master flexbox
6. 📐 Dive into grid
7. 🎉 Add animations
8. ⚙️ Apply transitions
🚀👨💻 Expert:
9. 🌐 Create responsive layouts
10. 📦 Utilize CSS frameworks
11. 🔄 Optimize with preprocessors
12. 💡 CSS-in-JS for advanced dev
❤1
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
• GPT 4-Turbo is now available via the API
• 128k token context (vs. 32k previously)
• More than 50% cheaper than GPT-4
• April 2023 Knowledge cutoff (vs. Sept 2021)
• Improved performance from GPT-4
• Can now provide images along side your text input prompt via API
• A new JSON mode that forces GPT to respond in pure JSON
• More generous rate limiting
Custom GPTs
• Users can build their own "Custom GPTs" that are specialized for specific tasks
• You can make CustomGPTs without coding. Use natural language, and upload files for context
• Enterprises can make company & org-specific Custom-GPTs
• OpenAI is giving us two Custom GPTs to start: Canva and ZapierAI
Custom GPT Store
• Users can upload their CustomGPTs to the store for others to use
• OpenAI will provide a revenue share program, where authors of popular models will receive $.
Assistants API
• The assistants API lets you build autonomous agents that have access to tools.
• OpenAI currently provides 3 tools to start: Code Interpreter (coding), Retrieval (Custom Knowledge), and Function Calling
• Just like with the normal API, you specify its role via a a custom instruction.
Human Quality Speech
• Open AI released the tts-1 and tts-1-hd models.
• The tts-1 model is optimized for speed, and tts-1-hd model for quality
• Choose from 1 out of 6 voice types and create realistic sounding human speech from an API
Copyright Shield
• Protects you and your company from copyright claims when using OpenAI's products
Whisper V3
• As a quick recap, Whisper is OpenAI's speech-to-text model. It transcribes voice and outputs text.
• Whisper is open source, and V3 was also released as open source.
• It seems via the API (paid), Whisper v3 is not available yet at the moment.
Custom Models for Enterprise
• 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
• GPT 4-Turbo is now available via the API
• 128k token context (vs. 32k previously)
• More than 50% cheaper than GPT-4
• April 2023 Knowledge cutoff (vs. Sept 2021)
• Improved performance from GPT-4
• Can now provide images along side your text input prompt via API
• A new JSON mode that forces GPT to respond in pure JSON
• More generous rate limiting
Custom GPTs
• Users can build their own "Custom GPTs" that are specialized for specific tasks
• You can make CustomGPTs without coding. Use natural language, and upload files for context
• Enterprises can make company & org-specific Custom-GPTs
• OpenAI is giving us two Custom GPTs to start: Canva and ZapierAI
Custom GPT Store
• Users can upload their CustomGPTs to the store for others to use
• OpenAI will provide a revenue share program, where authors of popular models will receive $.
Assistants API
• The assistants API lets you build autonomous agents that have access to tools.
• OpenAI currently provides 3 tools to start: Code Interpreter (coding), Retrieval (Custom Knowledge), and Function Calling
• Just like with the normal API, you specify its role via a a custom instruction.
Human Quality Speech
• Open AI released the tts-1 and tts-1-hd models.
• The tts-1 model is optimized for speed, and tts-1-hd model for quality
• Choose from 1 out of 6 voice types and create realistic sounding human speech from an API
Copyright Shield
• Protects you and your company from copyright claims when using OpenAI's products
Whisper V3
• As a quick recap, Whisper is OpenAI's speech-to-text model. It transcribes voice and outputs text.
• Whisper is open source, and V3 was also released as open source.
• It seems via the API (paid), Whisper v3 is not available yet at the moment.
Custom Models for Enterprise
• 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.
❤1
Javanoscript Roadmap:
📜 Basics:
Variables, data types, operators, control structures
🔌 DOM Manipulation:
Selecting, creating, and modifying HTML elements
📡 Async Programming:
Promises, Async/Await, Callbacks
📦 Packages:
NPM, Yarn, PNPM, package.json, dependencies, devDependencies
🔧 Tools:
Git, Vite, Webpack, Babel, ESLint, Prettier
👥 Collaboration:
Github, Pull Requests, Code Reviews
🌐 APIs:
AJAX, Fetch/Axios, RESTful APIs
🎨 Frontend Frameworks:
React, Vue, Angular, Svelte
💻 Backend Frameworks:
Node.js, Express, Koa, Nest.js
📝 Databases:
MySQL, Postgres, MongoDB Firebase
🚀 Deployment:
AWS, Heroku, Netlify, DigitalOcean, Hetzner, Vercel
🧪 Testing:
Unit testing, integration testing, end-to-end testing
🔒 Security:
Authentication, Authorization
📈 Performance:
Optimization, lazy loading, code splitting
You don't have to learn all DBs, front-end, back-end frameworks, and all platforms for deployment.
📜 Basics:
Variables, data types, operators, control structures
🔌 DOM Manipulation:
Selecting, creating, and modifying HTML elements
📡 Async Programming:
Promises, Async/Await, Callbacks
📦 Packages:
NPM, Yarn, PNPM, package.json, dependencies, devDependencies
🔧 Tools:
Git, Vite, Webpack, Babel, ESLint, Prettier
👥 Collaboration:
Github, Pull Requests, Code Reviews
🌐 APIs:
AJAX, Fetch/Axios, RESTful APIs
🎨 Frontend Frameworks:
React, Vue, Angular, Svelte
💻 Backend Frameworks:
Node.js, Express, Koa, Nest.js
📝 Databases:
MySQL, Postgres, MongoDB Firebase
🚀 Deployment:
AWS, Heroku, Netlify, DigitalOcean, Hetzner, Vercel
🧪 Testing:
Unit testing, integration testing, end-to-end testing
🔒 Security:
Authentication, Authorization
📈 Performance:
Optimization, lazy loading, code splitting
You don't have to learn all DBs, front-end, back-end frameworks, and all platforms for deployment.
❤1
Forwarded from Pavel Durov
To celebrate our new feature, I’m hosting a giveaway of 10,000 Telegram Premium subnoscriptions
In a week, 10,000 random subscribers of my channel will receive a Telegram Premium subnoscription 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
👍1
Forwarded from Ethiopian Business Daily
የዓለማች የመጀመሪያዋን የሰው ሰራሽ አስተውሎት (AI) ስራ አስፈጻሚ ተዋወቋት
ሚካ ትባላለች፤ የዘመኑን ሰው ሰራሽ አስተውሎት (AI) የምትጠቀም ዲክታዶር የተሰኘ ኩባንያ ዋና ስራ አስፈጻሚ ሆና ተሾማለች።
በፈረንጆቹ 2015 ሶፊያ የተሰኘችውን ሮቦት የሰራው ሀንሰን ሮቦቲክስ ያበለጸጋት ይህች ሚካ የተሰኘች ሮቦት፣ ዲክታዶር የተባለውን ኩባንያ በዋና ስራ አስፈጻሚነት ከመምራትም ባለፈ ተቋሙን ወክላ የተለያዩ ቦርዶች አባልም በመሆን የዓለማችን የመጀመሪያዋ መሆኗን ፎክስ ኒውስ አስነብቧል።
ሮቦቶች የሰውን የጉልበት ስራ በቅርቡ ይተካሉ ተብሎ በሚሰጋበት በዚህ ወቅት ሰው ሰራሽ አስተውሎት ደግሞ ሌሎች የፈጠራ ስራዎችን መቆጣጠሩ ይህን ስጋት ወደ እውነታ እየቀየረው ይመስላል።
Source: Seleda
@Ethiopianbusinessdaily
ሚካ ትባላለች፤ የዘመኑን ሰው ሰራሽ አስተውሎት (AI) የምትጠቀም ዲክታዶር የተሰኘ ኩባንያ ዋና ስራ አስፈጻሚ ሆና ተሾማለች።
በፈረንጆቹ 2015 ሶፊያ የተሰኘችውን ሮቦት የሰራው ሀንሰን ሮቦቲክስ ያበለጸጋት ይህች ሚካ የተሰኘች ሮቦት፣ ዲክታዶር የተባለውን ኩባንያ በዋና ስራ አስፈጻሚነት ከመምራትም ባለፈ ተቋሙን ወክላ የተለያዩ ቦርዶች አባልም በመሆን የዓለማችን የመጀመሪያዋ መሆኗን ፎክስ ኒውስ አስነብቧል።
ሮቦቶች የሰውን የጉልበት ስራ በቅርቡ ይተካሉ ተብሎ በሚሰጋበት በዚህ ወቅት ሰው ሰራሽ አስተውሎት ደግሞ ሌሎች የፈጠራ ስራዎችን መቆጣጠሩ ይህን ስጋት ወደ እውነታ እየቀየረው ይመስላል።
Source: Seleda
@Ethiopianbusinessdaily
Step1 – HTML
Step2 – CSS
Step3 – JavaScript
Step4 – Git+GitHub
Step5 – Build Project 👈
Step6 – React
Step7 – Node.js
Step8 – Build an API
Step9 – Build Project 👈
Step10 – Next.js
Step11 – CI/CD
Step12 – CockroachDB
Step13 – Build Project 👈
🏆 – Full Stack developer
————————————
for more join 👇
@EmmersiveLearning
https://www.youtube.com/@EmmersiveLearning/
Step2 – CSS
Step3 – JavaScript
Step4 – Git+GitHub
Step5 – Build Project 👈
Step6 – React
Step7 – Node.js
Step8 – Build an API
Step9 – Build Project 👈
Step10 – Next.js
Step11 – CI/CD
Step12 – CockroachDB
Step13 – Build Project 👈
🏆 – Full Stack developer
————————————
for more join 👇
@EmmersiveLearning
https://www.youtube.com/@EmmersiveLearning/
👍4
What's your Web development Stack ?
• MERN Stack
• MEAN Stack
• LAMP Stack
• SERN Stack
• MERN Stack
• MEAN Stack
• LAMP Stack
• SERN Stack
❤1
Master These Skills To Be The Best PROGRAMMER 👨🏻💻
⚡️ Positive Attitude
⚡️ Strong Communication Skills
⚡️ Effective Time and Task Management
⚡️ Quick Learning Ability
⚡️ Deep and Broad Technical Experience
⚡️ Great Team Player and Leadership
⚡️ Big Picture Focus
⚡️ Positive Attitude
⚡️ Strong Communication Skills
⚡️ Effective Time and Task Management
⚡️ Quick Learning Ability
⚡️ Deep and Broad Technical Experience
⚡️ Great Team Player and Leadership
⚡️ Big Picture Focus
❤1
Complete DevOps Road Map👇🔥
1.Version Controls
• Git
• GitHub
• GitLab
• Bitbucket
2.Continuous Integration (CI)
• Jenkins
• Travis CI
• CircleCI
• Automated Build
• Automatic Test Pipelines
• Code Quality Checks
3.Containerization and Orchestration
• Docker
• Kubernetes
• Docker Compose
4.Infrastructure as Code (IaC)
• Terraform
• Ansible
• Puppet
• Chef
5.Continuous Deployment and Delivery (CD)
• Deployment Automation
• Canary Deployments
• Blue-Green Deployments
6.Monitoring
• Prometheus
• Grafana
• Nagios
7.Logging
• ELK Stack - Elasticsearch
• Logstash
• Kibana
8.Collaboration and Communication
• Slack
• Microsoft Teams
• JIRA
• Trello
9. Cloud Platforms
• AWS
• Azure
• Google Cloud Platform
10. Security
• Security Best Practices
• Vulnerability Scanning
• Penetration Testing
• SSL/TLS Certificates
• Encryption
11.Collaborative Development Tools
• Version Control Branching Strategies
• Code Review Processes
• Pair Programming
12.Networking and Protocols
• TCP/IP Networking Basics
• HTTP/HTTPS Protocols
• Load Balancing Concepts
13. Build and Release Management
• Build Automation Tools (Maven, Gradle, Ant)
• Dependency Management
• Release Versioning and Rollbacks
14.Database Management
• Database Versioning
• Database Migrations
• Backup and Recovery Strategies
15.Microservices Architecture
• Microservices Principles
• API Gateways
• Service Discovery and Registration
16.Serverless Computing
• AWS Lambda
• Azure Functions
• Serverless Framework
• Event-Driven Architectures
17.Performance Optimization
• Load Testing (JMeter, Gatling)
• Caching Strategies
• Content Delivery Networks (CDNs)
18.Incident Response and Disaster Recovery
• Incident Management Processes
• Backup and Restore Procedures
• Disaster Recovery Planning
19.Documentation and Knowledge Sharing
• Wiki Tools (Confluence, DokuWiki)
• Runbooks and Playbooks
• Knowledge Sharing Sessions
------------------- END --------------------
Feel free to add anything I missed😊🌱🌱
1.Version Controls
• Git
• GitHub
• GitLab
• Bitbucket
2.Continuous Integration (CI)
• Jenkins
• Travis CI
• CircleCI
• Automated Build
• Automatic Test Pipelines
• Code Quality Checks
3.Containerization and Orchestration
• Docker
• Kubernetes
• Docker Compose
4.Infrastructure as Code (IaC)
• Terraform
• Ansible
• Puppet
• Chef
5.Continuous Deployment and Delivery (CD)
• Deployment Automation
• Canary Deployments
• Blue-Green Deployments
6.Monitoring
• Prometheus
• Grafana
• Nagios
7.Logging
• ELK Stack - Elasticsearch
• Logstash
• Kibana
8.Collaboration and Communication
• Slack
• Microsoft Teams
• JIRA
• Trello
9. Cloud Platforms
• AWS
• Azure
• Google Cloud Platform
10. Security
• Security Best Practices
• Vulnerability Scanning
• Penetration Testing
• SSL/TLS Certificates
• Encryption
11.Collaborative Development Tools
• Version Control Branching Strategies
• Code Review Processes
• Pair Programming
12.Networking and Protocols
• TCP/IP Networking Basics
• HTTP/HTTPS Protocols
• Load Balancing Concepts
13. Build and Release Management
• Build Automation Tools (Maven, Gradle, Ant)
• Dependency Management
• Release Versioning and Rollbacks
14.Database Management
• Database Versioning
• Database Migrations
• Backup and Recovery Strategies
15.Microservices Architecture
• Microservices Principles
• API Gateways
• Service Discovery and Registration
16.Serverless Computing
• AWS Lambda
• Azure Functions
• Serverless Framework
• Event-Driven Architectures
17.Performance Optimization
• Load Testing (JMeter, Gatling)
• Caching Strategies
• Content Delivery Networks (CDNs)
18.Incident Response and Disaster Recovery
• Incident Management Processes
• Backup and Restore Procedures
• Disaster Recovery Planning
19.Documentation and Knowledge Sharing
• Wiki Tools (Confluence, DokuWiki)
• Runbooks and Playbooks
• Knowledge Sharing Sessions
------------------- END --------------------
Feel free to add anything I missed😊🌱🌱
❤1
Embrace the tech world:
- ☁️ Cloud Computing
- 🌲 Git Version Control
- 💻 DevOps
- 🚀 Microservices
- 📦 Containerization
- 🛠 CI/CD Pipelines
- 📊 Data Analytics
- 🤖 Machine Learning
Stay ahead with these essentials! 🚀
- ☁️ Cloud Computing
- 🌲 Git Version Control
- 💻 DevOps
- 🚀 Microservices
- 📦 Containerization
- 🛠 CI/CD Pipelines
- 📊 Data Analytics
- 🤖 Machine Learning
Stay ahead with these essentials! 🚀
Atomic habits for developers:
📚 Read docs
📃 Comment your code
👨🏫 Teach others
👨💻 Code daily
👥 Engage in community
🤖 Use AI tools
💪🏻 Learn daily
🧪 TDD
🏖 Take short breaks
✍️ Jot notes
📚 Read docs
📃 Comment your code
👨🏫 Teach others
👨💻 Code daily
👥 Engage in community
🤖 Use AI tools
💪🏻 Learn daily
🧪 TDD
🏖 Take short breaks
✍️ Jot notes
👍2❤1