Education¶
Collaborative coding¶
Competition¶
Cons¶
- Why so many data scientists are leaving their jobs
- AI hierarchy of needs
- How not to hire your first data scientist
- If your company isn't good at analytics, it's not ready for AI
- Why you're not a job-ready data scientist
- Reasons not to hire a data scientist
- If you think your company needs a data scientist, you're probably wrong
- The sexiest job of 22nd century
- The sexiest job of 21st century
- Data graveyard and the valley of death and despair
- Pros and cons: truth about working as a Data Scientist
- Data Scientists will be extinct before 2030
- Things you are not told about data science
- Reasons to quit being a data scientist
- What we talk about when we talk about imposter syndrome
- Navigating the Realities of Being A Data Scientist
Data, Art & Science¶
- Fireworks
- Synthwave with matplotlib
- A date with yourself
- Cyberpunk style in matplotlib
- Color palette extraction
- Visualize emotional arcs of movie scripts with rule-based sentiment analysis
- Processing
- Human brain and backpropagation
- 175 years of words in Scientific American
- Discovering the shape of fractions
- Google PaLM (Pathways Language Model)
- DALL-E 2: from text to images
- WebGL Fluid Simulation
- Stable Diffusion by Hugging Face
Data sonification¶
- Turn music into data
- Playing cryptocurrency time series
- Turn time series to music with
miditime - Data sonification tutorials
- Sonic Pi: turn live coding into a musical instrument
Social sciences¶
Gamification¶
Methodology¶
- Strategies for learning data science
- Path for learning analytics and data skills
- From business question to data task
- Why you shouldn't be a generalist data scientist
- Build a trust infrastructure
- Data scientific method
- Yet another ML article
- What DS learners do wrong
- What is a full stack developer
- How to learn DS
- Great developers never stop learning
- The key DS question: so what?
- Being a DS does not make you a software engineer
- How to become a data scientist
- Data science conversation starters
- Generalist vs specialist data scientists
- Question to ask before starting a data science project
- What is data engineering
- Data science landscape
- Programming languages associated with highest salaries
- Data science and the age of acceleration
- Mistakes to avoid being a data scientist
- How to build AI for Twitter, Pinterest and Amazon
- The data island of truth: advices from Facebook and AirBnB
- Statistics and probability for expert data scientists
- What makes an excellent DS
- How to become a data scientist
- Metaflow motivation diagram
- How to resist the temptation to solve every problem
- Data science methodology
- Key requirements for an MLOps foundation
- Building ML models is like cooking
- Data Science curriculum for professionals
- Data documentation with 5W1H framework
- First rule of ML: start without ML
- Teach Yourself Programming in Ten Years
- Hidden aspects about being a Data Scientist
- 4 rules for better data science
- Critical insights about Data Scientist profession
- How to interrogate unfamiliar code
- Coding learning path
- Developers second brain
- What is Data Engineering?
- Why tech writing is important
- The Data Cards Playbook: a toolkit for transparency in AI dataset documentation
- The Privileged Have Entered Their Escape Pods
- Complessita crescente vs. management e consulenza old-style: cosa non funziona e perchè
- The Paradigm Shift to Cloudless Computing
- Il curioso caso Orosz vs. McKinsey: Come misurare gli sviluppatori e una riflessione sull'autorevolezza
- hacker-laws: laws, theories, principles and patterns that developers will find useful
- Il Libro Open Source
- 8 Years in Data: What I Wish I’d Known from the Start
- Potemkin Data Science
Python¶
- Coding problems
- Advent of Code
- Learn python
- Online compiler
- The Hitchhiker's Guide to Python
- Python for Data Science
- Python learning paths
- Thonny: the beginner-friendly Python editor
- Learn Python with Jupyter
- pytudes
- Advanced Python Mastery: an exercise-driven course
Quantum Computing¶
- Quantum computing per ottimizzazione delle reti mobili
- Quantum computing as a field is obvious bullshit
Regulation¶
- EU Artificial Intelligence Act
- Legge sull'Intelligenza Artificiale
- Understanding the EU AI Act as a Data Scientist
- Do Foundation Model Providers Comply with the Draft EU AI Act?
- Uncovering the EU AI Act
Teaching¶
Technical skills¶
- ML projects example
- Learn data science
- ML resources
- Research computing meetup
- Notebooks resources
- ISLR python
- Assessment and guide for statistics education
- UCLA Technology Innovations in Statistics Education
- Machine Learning University (MLU) by Amazon
- Illustrated Machine Learning
- Data Science Trivia
Technical writing¶
Tools¶
- Periodic table of DevOps
- Plotly vs Dash vs Streamlit
- AI developer tools and IKEA effect
- Google train ML teachable machine