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BTS: Continuous Learning

  • Behind the Scenes of my Learning Journey
    🤔💡
  • Functional Pandas in Python workflow 🐼🐍
  • Jupyter Books explored 📙
    • Initial Setup & Maintenance 🛠️
    • Customizing the Front End 🌼
  • Natural Language Processing explored
    🔠📢🈺
    • Mental Scaffolding
    • My NLP Experiences
  • Cloud explored
    • Server Setup Notes
    • Database Setup Notes
    • API Building Notes
  • Resource Bin
    • Code-Along Resources
    • Career Resources for Data Professionals
    • Further reading
Contents
  • Machine Learning
  • Data Science
  • Data Analytics
  • DevOps
  • Python

Further reading

Contents

  • Machine Learning
  • Data Science
  • Data Analytics
  • DevOps
  • Python

Further reading¶

Machine Learning¶

  1. Facebook AI picks a fight with Transformers

  2. How to learn machine learning in 2022

  3. The Back-end developer roadmap

Data Science¶

  1. Maths for data science

  2. Top 5 bookmarks every data analyst should have

Data Analytics¶

  1. Documentation in data analytics

DevOps¶

  1. The Back-end developer roadmap

  2. Stop using notebooks (or why you should start making data science as a developer would do)

  3. Stop using json web tokens for authentication - use stateful sessions instead

  4. We built a spreadsheet engine from scratch - here’s what we learned

  5. 7 css tips for writing better code that every developer should know in 2021

Python¶

  1. 10 Python mistakes that tell you’re a newbie

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Career Resources for Data Professionals

By Cynthia Thinwa
© Copyright 2022.