Learning Python!!👨🏻💻
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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.Apache Spark 101 for Data Engineering
https://datavidhya.substack.com/p/apache-spark-101-for-data-engineering?utm_campaign=post&showWelcomeOnShare=true
Read about data engineering every day to become a better DE.
Here are 35 blogs and newsletters (and subreddit) to Learn about Data Engineering :
Join @pythonjoyy for more such post:
1. https://tdan.com
2. https://www.blef.fr
3. https://blog.det.life
4. https://datawise.dev
5. https://www.thdpth.com
6. https://airbyte.com/blog
7. https://datagibberish.com
8. https://benn.substack.com
9. https://joereis.substack.com/
10. https://blog.dataengineer.io/
11. https://davidsj.substack.com/
12. https://blog.bytebytego.com/
13. https://juhache.substack.com/
14. https://www.getdbt.com/blog
15. https://orchestra.substack.com
16. https://newsletter.egorhowell.com
17. https://www.waitingforcode.com
18. https://robertsahlin.substack.com
19. https://datatalks.club/articles.html
20. https://dataproducts.substack.com
21. https://www.rudderstack.com/blog/
22. https://dataengineeringweekly.com
23. https://jessramosdata.substack.com
24. https://seattledataguy.substack.com
25. https://blog.pragmaticengineer.com
26. https://mikkeldengsoe.substack.com
27. https://sarahsnewsletter.substack.com
28. https://www.confessionsofadataguy.com
29. https://www.reddit.com/r/dataengineering
30. https://medium.com/tag/data-engineering
31. https://practicaldatamodeling.substack.com
32. https://www.startdataengineering.com/post
33. https://dataengineeringcentral.substack.com
34. https://www.kdnuggets.com/topic/data-engineering
35. https://towardsdatascience.com/tagged/data-engineering
https://medium.com/stackademic/python-coding-questions-for-data-engineer-interview-part-i-easy-lev-d52c3c6e01e6
Join @pythonjoyy for more such contents.
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#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
Learn Git & GitHub:
https://www.clcoding.com/2024/02/introduction-to-git-and-github.html
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
Python Projects with Source Code | Aman Kharwal
https://thecleverprogrammer.com/2021/01/14/python-projects-with-source-code/
Learn Python from Harvard University for free on Youtube.
Link below.
https://youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V&feature=shared
Join @pythonjoyy for more.
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