What Is Trenbol> 5: print('big') else: print('small')``` Indentation defines block scope.


Loop (for) `for i in range(3): print(i)` `range(n)` generates 0..n-1.


Function ```def add(a,b): return a+b``` Functions are first-class objects; can be passed around.


List comprehension `x2 for x in range(5)` Creates list efficiently.


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4. How to Get Started



Step What You Do Why It Helps


1. Install Python (3.x) Download from python.org or use package manager (`apt`, `brew`, `choco`). Provides interpreter and pip.


2. Set up a virtual environment `python -m venv myenv` → `source myenv/bin/activate`. Keeps dependencies isolated.


3. Install a good IDE / editor VS Code (with Python extension), PyCharm Community, or JupyterLab. Syntax highlighting, linting, debugging tools.


4. Learn basics via interactive tutorials Try "Python for Everybody" on Coursera, or the official Python tutorial (`python.org`). Build confidence quickly.


5. Practice by solving small projects e.g., build a simple web scraper, or a CLI to manage tasks. Apply concepts in real code.


6. Read & refactor existing code Browse open‑source repos on GitHub; look at README and commit history. Understand coding conventions & best practices.


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3. Typical "One‑Hour" Learning Plan



Time Activity Goal


0–5 min Review the problem you want to solve or the concept you’re studying. Focus your learning.


5–20 min Watch a short video/lecture (e.g., 10‑15 min) on the topic. Get an overview.


20–35 min Read or skim relevant documentation, blog posts, or code examples. Deepen understanding.


35–45 min Write a minimal snippet that uses the concept (e.g., a one‑liner script). Apply knowledge.


45–55 min Run your snippet, debug if necessary; experiment with variations. Solidify learning through practice.


55–60 min Summarize what you learned (write a short note or comment in code). Reinforce retention.


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6. Example "Micro‑Learning" Session


> Goal: Understand how to use `asyncio.run()` with an async function that performs a simple HTTP GET using `aiohttp`.




Time Activity


0–5 min Quick read of the official `asyncio` docs section on "Running Tasks".


5–10 min Look up an example of `aiohttp.ClientSession.get()`.


10–15 min Write a minimal async function that fetches `https://example.com`.


15–20 min Wrap it in `asyncio.run()` and run the script. Observe output.


20–25 min Add error handling (`try/except`) around the request.


25–30 min Review code, commit changes to local repo, write a short comment explaining why we used `asyncio.run()`.


This plan takes exactly 30 minutes, stays within your budget, and yields runnable code that can be reused or extended later.



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4. Quick‑Start Code Snippet


Below is a self‑contained example you can drop into your editor and run immediately:





-------------------------------------------------------------


File: async_fetch.py





A minimal script that demonstrates how to fetch data from a


public API asynchronously, using Python's built-in asyncio.





No external dependencies are required – it works out of the box


with Python 3.7+.


-------------------------------------------------------------


import asyncio
from urllib.request import Request, urlopen

async def fetch(url: str) -> str:
"""Asynchr> N> Note:

> The code above is intenti