Скачать или смотреть Python Crash Course for Developers | Core Python You Must Know

Welcome to AI & Data Skills Shorts by CodeVisium 🚀
This is a Python crash course for developers who want to understand Python deeply and practically, not just syntax — the same clarity you’d expect from a long-form course, compressed into a structured guide.

🔹 1️⃣ Variables & Data Types
📌 What this means

Python does not require type declaration.
The type is inferred at runtime.

📌 Example Explained
x = 10 # int
name = "Alex" # str


x becomes an integer automatically

name becomes a string

Type can change dynamically

📌 How developers use this

Faster prototyping

Cleaner code

Less boilerplate than Java/C++

✅ One-Liner Concept
Python → dynamically typed

🧠 Meaning

Variable type is decided at runtime, not at declaration.

🔹 2️⃣ Control Flow (if / loops)
📌 What this means

Control flow decides which code runs and how many times.

📌 Example Explained
if x v 5:
print("Yes")


Condition is checked

Code runs only if condition is True

Loops:

for i in range(3):
print(i)

📌 How developers use this

Business logic

Data validation

Iterating datasets

✅ One-Liner Concept
if → condition | loop → repetition

🧠 Meaning

Decisions + repetition drive program logic.

🔹 3️⃣ Functions
📌 What this means

Functions group logic into reusable units.

📌 Example Explained
def add(a, b):
return a + b


def defines a function

Arguments go inside parentheses

return sends result back

📌 How developers use this

Clean architecture

Code reuse

Testing & debugging

✅ One-Liner Concept
function → input → logic → output

🧠 Meaning

Functions turn inputs into outputs predictably.

🔹 4️⃣ Data Structures
📌 What this means

Data structures store and organize data.

📌 Example Explained
nums = [1, 2, 3]


Common structures:

list → ordered, mutable

tuple → ordered, immutable

set → unique items

dict → key-value pairs

Example:

user = {"name": "Alex", "age": 25}

📌 How developers use this

Handling APIs

Managing application state

Processing datasets

✅ One-Liner Concept
list | tuple | set | dict → data containers

🧠 Meaning

Choose structure based on data behavior.

🔹 5️⃣ Modules & Libraries
📌 What this means

Python allows importing built-in and external code.

📌 Example Explained
import math
math.sqrt(16)


math is a built-in module

External libraries add new capabilities

Install external libraries:

pip install requests


Import them:

import requests

📌 How developers use this

Avoid reinventing the wheel

Build faster

Scale applications

✅ One-Liner Concept
import → reuse existing code

🧠 Meaning

Libraries turn Python into a powerful ecosystem.

🧠 Interview Questions & Answers
Q1. What does dynamic typing mean in Python?

→ Variable type is determined at runtime.

Q2. Difference between list and tuple?

→ List is mutable, tuple is immutable.

Q3. Why are functions important?

→ Code reuse and clean architecture.

Q4. What is a module in Python?

→ A file containing reusable Python code.

Q5. How do you install external libraries?

→ Using pip install library_name.

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