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Learning Python!!👨🏻‍💻

Learning Python!!👨🏻‍💻

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This channel is meant to provide FREE Books and course links, also information about Python, Machine Learning, AI, Data Science, IoT, Big Data, Deep Learning & much more.

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A structured plan to become a Frontend Developer: 1. Understand the Basics of Web Development HTML: Learn the structure of web pages. Resources: MDN Web Docs, W3Schools HTML Tutorial CSS: Learn how to style web pages. Resources: MDN Web Docs, W3Schools CSS Tutorial JavaScript: Learn the basics of making web pages interactive. 2. Learn Frontend Frameworks and Libraries React: A popular JavaScript library for building user interfaces. Resources: React Official Documentation, FreeCodeCamp React Course Vue: Another popular framework that's beginner-friendly. Resources: Vue.js Official Guide, Vue Mastery Angular: A robust framework for building large-scale applications. Resources: Angular Official Documentation, Tour of Heroes Tutorial 3. Learn Version Control with Git Understanding version control is crucial for collaborative development. Resources: Pro Git Book, GitHub Learning Lab 4. Familiarize Yourself with Development Tools Code Editors: VS Code, Sublime Text, or Atom. Browser Developer Tools: Learn to debug and inspect elements. 5. Practice Responsive Design Learn how to create layouts that work on various screen sizes. 6. Build Projects Start with small projects to apply what you’ve learned. Project Ideas: Personal portfolio, To-Do list app, Weather app, etc. Gradually take on more complex projects to build your portfolio. 7. Explore Advanced Topics State Management: Learn tools like Redux (for React). Resources: Redux Official Documentation, Redux Tutorials APIs: Learn how to interact with backend services. Resources: RESTful APIs, GraphQL Performance Optimization: Learn best practices for fast and efficient web applications. 8. Join Communities and Stay Updated Participate in forums like Stack Overflow, Dev.to, and Reddit's webdev community. Follow blogs and subscribe to newsletters like Smashing Magazine, CSS-Tricks, and Frontend Focus.

https://t.me/pythonjoyy Join for Python resources
https://t.me/pythonjoyy Join for Python resources

https://medium.com/stackademic/python-coding-questions-for-data-engineer-interview-part-i-easy-lev-d52c3c6e01e6 Join @pythonjoyy for more such contents. ------------------------------------ #happylearning #interview #datascience

🚀 Roadmap to Learn DevOps in 2024 🚀👇 ✨Version Control (Git) - Git Basics - Branching Strategies - Collaborative Workflows - Pull Requests & Code Reviews - Git Hooks ✨Linux and Networking - Linux Fundamentals - Shell Scripting - Networking Basics - Firewalls and Security - Troubleshooting Network Issues ✨Continuous Integration & deployment(CI) - CI/CD Concepts - Github Actions or GitLab (CI tool) - ArgoCD (CD tool) - Automated Testing - Build Pipelines - Integration with Code Repositories ✨Containerization (Docker) - Docker Fundamentals - Building Images - image repository - Running containers - Container Security ✨Orchestration (Kubernetes) - Kubernetes Architecture - Deploying Pods & Services - Scaling & Load Balancing - Kubernetes Operators - Application Deployment Strategies ✨Infrastructure as Code (IaC) - Terraform - Managing Infrastructure - Code Reviews & Best Practices - Infrastructure Versioning - Cloud Resource Management ✨Configuration Management (Ansible) - Ansible Playbooks - Automation Tasks - Idempotent Configuration - Role-Based Configuration ✨Monitoring & Logging - Prometheus & Grafana - ELK Stack (Elasticsearch, Logstash, Kibana) - Alerting Strategies - Application Performance Monitoring (APM) - Log Analysis and Centralized Logging ✨Cloud Platforms (AWS) - Cloud Basics - Service Provisioning - Networking & Security - Serverless Computing - Cloud Cost Management ✨Security & Compliance - DevSecOps Best Practices - Security Scanning - Compliance as Code - Secrets Management - Incident Response and Recovery Additional tips for learning DevOps: - Find a mentor or community of DevOps practitioners to learn from and collaborate with. - Attend DevOps conferences and meetups. - Read DevOps books and blogs. - Take online courses and tutorials. - Contribute to open source DevOps projects. - Build your own DevOps portfolio. If you've found this valuable, kindly consider sharing it, and don't forget to join @pythonjoyy for more insightful content on these topics.

FREE COURSES FROM GOOGLE: 1. Introduction to Generative AI https://cloudskillsboost.google/course_templates/536 2. Introduction to Large Language Models: https://cloudskillsboost.google/course_templates/539 3. Introduction to Responsible AI: https://cloudskillsboost.google/course_templates/554 4. Generative AI Fundamentals: https://cloudskillsboost.google/course_templates/556 5. Introduction to Image Generation: https://cloudskillsboost.google/course_templates/541 6. Encoder-Decoder Architecture: https://cloudskillsboost.google/course_templates/543 7. Attention Mechanism: https://cloudskillsboost.google/course_templates/537 8. Transformer Models and BERT Model: https://cloudskillsboost.google/course_templates/538 9. Create Image Captioning Models: https://cloudskillsboost.google/course_templates/542 10. Introduction to Generative AI Studio: https://cloudskillsboost.google/course_templates/552 Join @pythonjoyy for more such information. #ai #ml #google #happylearning

Join @pythonjoyy for more such contents: Python Basics topics- 1. Variables and Types 2. Lists, tuple, dictionary 3. Basic Operators 4. String Formatting 5. Basic String Operations 6. Conditions 7. Loops 8. Functions 9. Classes and Objects 10. Dictionaries 11. Modules and Packages

Join @pythonjoyy for more such contents: Advanced Python Topics- 1. Generators 2. List Comprehensions 3. Lambda functions 4. Multiple Function Arguments 5. Regular Expressions 6. Exception Handling 7. Sets 8. Serialization 9. Partial functions 10. Code Introspection 11. Closures 12. Decorators 13. Map, Filter, Reduce

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Python: Data Science Top Interview questions

Learn Python from Harvard University for free on Youtube. Link below. https://youtube.com/playlist?list=PLhQjrBD2T3817j24-Gog
Learn Python from Harvard University for free on Youtube. Link below. https://youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V&feature=shared Join @pythonjoyy for more. - - - - -