Today I decided to start digging into the materials of a Data Engineering course. Really hoping to turn this summer into my own personal coding bootcamp.
📚 About Resources…
I enrolled in a DE course about two years ago. Back then, it felt overwhelming — probably because I lacked context. Since then, I’ve tinkered with Docker, Git, Bash, and solved a few problems in C and Python. That’s the extent of my progress so far.
My plan? Combine the course with open resources like DE ZoomCamp. I also want to try the LLM ZoomCamp — apparently, RAG is that tech I wanted to learn but didn’t know its name. Heh.
🔍 Findings of the Day…
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Turns out, my API knowledge is… nonexistent. Who knew there was more to APIs than just REST? 😴😅
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I still second-guess myself in basic Python sometimes…
For example, this question tripped me up earlier. I didn’t have an interpreter at hand, so I went with intuition. Surprisingly, my intuition was right.
Q: Is this code valid?
class demo(list):
def __test__(self, key):
return []
a = demo()
a['test'] = 7
print(a)
Still believe that coding is often an experimental science: you learn by running code.
💡 Some other observations…
Compared namespace vs. scope today. They’re both about name visibility, but:
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Namespaces are explicit containers (to avoid conflicts).
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Scopes are implicit, tied to code blocks (where a name is accessible).
⚙️ Plans for tomorrow
Still wrestling with my environment setup — nothing feels quite right yet.
Maybe tomorrow I’ll do something about it finally and will be able to complete more than just a few random coding questions in Google Colab.