Python - Learn Coding

ืžื›ื™ืœ ืžื•ื“ืขื•ืช
ืกื™ื•ื•ื’ ืชื•ื›ืŸ
ื›ื•ืœื
+10
ื”ื•ืจื“ื•ืช
ืฆื™ืœื•ื ืžืกืš
ืฆื™ืœื•ื ืžืกืš
ืฆื™ืœื•ื ืžืกืš
ืฆื™ืœื•ื ืžืกืš
ืฆื™ืœื•ื ืžืกืš

ืžื™ื“ืข ืขืœ ื”ืืคืœื™ืงืฆื™ื” ื”ื–ื•

# Python - ืฉืืœืช ืจืื™ื•ืŸ

**Python - ืฉืืœืช ืจืื™ื•ืŸ** ื”ื•ื ื‘ืŸ ื”ืœื•ื•ื™ื” ื”ืžื•ืฉืœื ืฉืœืš ืœืœื™ืžื•ื“ Python ืžื”ื™ืกื•ื“ ื•ืœื”ื’ืขื” ืœืจืื™ื•ืŸ ื”ื˜ื›ื ื™ ื”ื‘ื ืฉืœืš ืžื•ื›ื ื™ื ืœื—ืœื•ื˜ื™ืŸ.

ื‘ื™ืŸ ืื ืืชื” ืžืชื—ื™ืœ ื’ืžื•ืจ, ืกื˜ื•ื“ื ื˜ ืฉืžืชื›ื•ื ืŸ ืœื”ืชืžื—ื•ื™ื•ืช, ืื• ืžืคืชื— ืžื ื•ืกื” ืฉืžืจืขื ืŸ ืืช ื”ื™ื“ืข ืฉืœืš ืœืคื ื™ ืจืื™ื•ืŸ, ืืคืœื™ืงืฆื™ื” ื–ื• ืžืฉืœื‘ืช ืฉื™ืขื•ืจื™ื ืžื•ื‘ื ื™ื, ืžืื’ืจ ืขืฆื•ื ืฉืœ ืฉืืœื•ืช ืจืื™ื•ืŸ ื•ื›ืœื™ื ืจื‘ื™ ืขื•ืฆืžื” ืœืžืขืงื‘ ืื—ืจ ื”ืชืงื“ืžื•ืช - ื”ื›ืœ ื‘ืขื™ืฆื•ื‘ ื ืงื™, ืžื•ื“ืจื ื™ ื•ืœืœื ื”ืกื—ื•ืช ื“ืขืช.

## ๐Ÿ“˜ ืœืžื“ Python ืžื”ื™ืกื•ื“

ื”ืžื“ื•ืจ **ืœืžื™ื“ื”** ืžื—ืœืง ืืช Python ืœืคืจืงื™ื ื•ืงื˜ืขื™ื ืงืœื™ื ืœืขื™ื›ื•ืœ, ื›ืœ ืื—ื“ ื›ืชื•ื‘ ื‘ืฉืคื” ื‘ืจื•ืจื” ื•ื™ื“ื™ื“ื•ืชื™ืช ืœืžืชื—ื™ืœื™ื ืขื ื“ื•ื’ืžืื•ืช ืงื•ื“ ืืžื™ืชื™ื•ืช.

### ื ื•ืฉืื™ื ืžื›ื•ืกื™ื

* ื™ืกื•ื“ื•ืช ื•ืชื—ื‘ื™ืจ ืฉืœ ืคื™ื™ืชื•ืŸ - ืžืฉืชื ื™ื, ืกื•ื’ื™ ื ืชื•ื ื™ื, ืื•ืคืจื˜ื•ืจื™ื ื•ื›ืชื™ื‘ืช ืงื•ื“ ื ืงื™
* ื–ืจื™ืžืช ื‘ืงืจื” - ืœื•ืœืื•ืช if/elif/else, for ื•-while, break/continue/pass
* ืžื‘ื ื™ ื ืชื•ื ื™ื - ืจืฉื™ืžื•ืช, ื˜ื•ืคืœื™ื, ืžื™ืœื•ื ื™ื, ืงื‘ื•ืฆื•ืช, ื”ื‘ื ื•ืช ื•ืคืจื™ืกืช ื ืชื•ื ื™ื
* ืคื•ื ืงืฆื™ื•ืช - ื”ื’ื“ืจืช ืคื•ื ืงืฆื™ื•ืช, *args/**kwargs, lambdas, scope ื•ืžืจื—ื‘ื™ ืฉืžื•ืช
* ืžื—ืจื•ื–ื•ืช - ืขื™ืฆื•ื‘, ืžืชื•ื“ื•ืช ืžื—ืจื•ื–ืช ื ืคื•ืฆื•ืช, f-strings ื•ื™ืกื•ื“ื•ืช ืจื’ืืงืก
* ืชื›ื ื•ืช ืžื•ื ื—ื” ืขืฆืžื™ื - ืžื—ืœืงื•ืช, ื™ืจื•ืฉื”, ืžืชื•ื“ื•ืช ืงืกื ื•ืžืืคื™ื™ื ื™ื
* ืฉื’ื™ืื•ืช ื•ืงื‘ืฆื™ื - try/except/finally, ื—ืจื™ื’ื™ื ืžื•ืชืืžื™ื ืื™ืฉื™ืช, ืงืœื˜/ืคืœื˜ ืฉืœ ืงื‘ืฆื™ื ื•ืžื ื”ืœื™ ื”ืงืฉืจ
* ื ื•ืฉืื™ื ืžืชืงื“ืžื™ื - ืื™ื˜ืจื˜ื•ืจื™ื, ื’ื ืจื˜ื•ืจื™ื, ืžืขืฆื‘ื™ื, ืžื•ื“ื•ืœื™ื ื•ืกื‘ื™ื‘ื•ืช ื•ื™ืจื˜ื•ืืœื™ื•ืช

ื‘ื ื•ืกืฃ ืฉื ื™ ืคืจืงื™ ืœื™ื‘ื” ื ื•ืกืคื™ื ื”ืžื›ืกื™ื ืžื•ืฉื’ื™ื ื—ื™ื•ื ื™ื™ื ืฉื›ืœ ืžืคืชื— ืคื™ื™ืชื•ืŸ ืฆืจื™ืš ืœื“ืขืช, ืชื•ืš ื”ื‘ื˜ื—ื” ืฉืฉื•ื ื“ื‘ืจ ื—ืฉื•ื‘ ืœื ื™ื•ืฉืžื˜.

## ๐ŸŽฏ ืžืกืœื•ืœื™ ืœืžื™ื“ื” ืžื•ืชืืžื™ื ืื™ืฉื™ืช

ื‘ื—ืจื• ืืช ื ืชื™ื‘ ื”ืœืžื™ื“ื” ื”ืžืชืื™ื ื‘ื™ื•ืชืจ ืœืžื˜ืจื•ืช ืฉืœื›ื:

### ืžืกืœื•ืœ ื‘ื™ื ื” ืžืœืื›ื•ืชื™ืช / ืžื›ื•ื ื” ืœืžื™ื“ืช ืžื›ื•ื ื”

ื›ื•ืœืœ ืคืจืง ื™ื™ืขื•ื“ื™ ื•ืฉืืœื•ืช ืจืื™ื•ืŸ ื”ืžื›ืกื•ืช:

* NumPy
* pandas
* Matplotlib
* scikit-learn
* ืขื™ื‘ื•ื“ ื ืชื•ื ื™ื ืžืงื“ื™ื
* ื”ืขืจื›ืช ืžื•ื“ืœื™ื
* ื•ืขื•ื“

### ืžืกืœื•ืœ ืคื™ืชื•ื— Python

ื›ื•ืœืœ ืคืจืง ื™ื™ืขื•ื“ื™ ื•ืฉืืœื•ืช ืจืื™ื•ืŸ ื”ืžื›ืกื•ืช:

* Flask
* FastAPI
* SQLAlchemy
* REST APIs
* ืื™ืžื•ืช
* ืฉื™ื˜ื•ืช ืขื‘ื•ื“ื” ืžื•ืžืœืฆื•ืช ืœืคื™ืชื•ื— ืืชืจื™ื

### ื›ืœ ื”ื ื•ืฉืื™ื

ืคืชื—ื• ื”ื›ืœ ืœื—ื•ื•ื™ื™ืช ืœืžื™ื“ื” ืžืœืื” ื•ืœืœื ืกื™ื ื•ืŸ.

ืœืขื•ืœื ืื™ื ื›ื ื ืขื•ืœื™ื ืœื ืชื™ื‘ ืื—ื“ - ื”ื—ืœื™ืคื• ืžืกืœื•ืœื™ื ื‘ื›ืœ ืขืช ืžื›ืจื˜ื™ืกื™ื™ืช ื”ืคืจื•ืคื™ืœ ื•ื”ืชื•ื›ืŸ ืฉืœื›ื ื™ืชืขื“ื›ืŸ ื‘ืื•ืคืŸ ืžื™ื™ื“ื™.

## โ“ 100+ ืฉืืœื•ืช ืจืื™ื•ืŸ ืžืื•ืจื’ื ื•ืช ืœืคื™ ื ื•ืฉื

ื”ืชื›ื•ื ื ื• ื‘ื‘ื™ื˜ื—ื•ืŸ ืขื ืœืžืขืœื” ืž-100 ืฉืืœื•ืช ื•ืชืฉื•ื‘ื•ืช ืจืื™ื•ืŸ ืฉื ื›ืชื‘ื• ื‘ืงืคื™ื“ื”.

### ืงื˜ื’ื•ืจื™ื•ืช ืฉืืœื•ืช

* ื™ืกื•ื“ื•ืช ืคื™ื™ืชื•ืŸ
* ืžื‘ื ื™ ื ืชื•ื ื™ื ื•ื”ื‘ื ืช ื ืชื•ื ื™ื
* ืคื•ื ืงืฆื™ื•ืช, ืœืžื‘ื“ื•ืช ื•ื”ื™ืงืฃ
* OOP, ื–ื™ื›ืจื•ืŸ ื•ืื™ื˜ืจืฆื™ื”
* ืžื•ื“ื•ืœื™ื, ื—ื‘ื™ืœื•ืช ื•ืกื‘ื™ื‘ื”
* ืžื—ืจื•ื–ื•ืช, ืงื‘ืฆื™ื ื•ื›ืœื™ื
* ืชื›ื•ื ื•ืช ืคื™ื™ืชื•ืŸ ืžื•ื“ืจื ื™ื•ืช (ืจืžื–ื™ื ืœืกื•ื’ื™ื, ืžื—ืœืงื•ืช ื ืชื•ื ื™ื, ืื•ืคืจื˜ื•ืจ ื•ื•ืœืจื•ืก, Enums ื•ืขื•ื“)
* ื‘ื“ื™ืงื•ืช ื•ืžืงื‘ื™ืœื™ื•ืช (unittest, pytest, multithreading, asyncio)
* ืฉืืœื•ืช ืจืื™ื•ืŸ ืœื‘ื™ื ื” ืžืœืื›ื•ืชื™ืช/ืœืžื™ื“ื” ืืœืงื˜ืจื•ื ื™ืช (ืžืกืœื•ืœ AI/ืœืžื™ื“ื” ืืœืงื˜ืจื•ื ื™ืช)
* ืฉืืœื•ืช ืจืื™ื•ืŸ ืœืคื™ืชื•ื— ืืชืจื™ื ื‘ืคื™ื™ืชื•ืŸ (ืžืกืœื•ืœ ืคื™ืชื•ื— ืคื™ื™ืชื•ืŸ)

ื›ืœ ืฉืืœื” ื›ื•ืœืœืช ื”ืกื‘ืจ ืžืคื•ืจื˜ ื•ื“ื•ื’ืžืื•ืช ืงื•ื“. ื”ืฉืชืžืฉ ื‘ืชื›ื•ื ืช ื”ื—ื™ืคื•ืฉ ื”ืžื•ื‘ื ื™ืช ื›ื“ื™ ืœืžืฆื•ื ืฉืืœื•ืช ื‘ืื•ืคืŸ ืžื™ื™ื“ื™ ืœืคื™ ืžื™ืœืช ืžืคืชื—.

## ๐Ÿ“Š ืขืงื‘ื• ืื—ืจ ื”ื”ืชืงื“ืžื•ืช ืฉืœื›ื ื•ื”ื™ืฉืืจื• ืžื•ื˜ื™ื‘ืฆื™ื•ื ื™ื™ื

ื”ื™ืฉืืจื• ืขืงื‘ื™ื™ื ื•ืžื“ื“ื• ืืช ื”ืฆืžื™ื—ื” ืฉืœื›ื ื‘ืขื–ืจืช ืžืขืงื‘ ื”ืชืงื“ืžื•ืช ืžื•ื‘ื ื”:

* ืžืคืช ื—ื•ื ืฉืœ ืคืขื™ืœื•ืช - ืœื•ื— ืฉื ื” ื‘ืกื’ื ื•ืŸ GitHub
* ืจืฆืคื™ื ื™ื•ืžื™ื™ื - ื‘ื ื” ื•ืชื—ื–ืง ื”ืจื’ืœื™ ืœืžื™ื“ื”
* ืกื˜ื˜ื™ืกื˜ื™ืงื•ืช ืงืจื™ืื” ื•ืฆืคื™ื™ื” - ืžืขืงื‘ ืื—ืจ ื—ืœืงื™ื ืฉื”ื•ืฉืœืžื• ื•ืฉืืœื•ืช ืฉื ืฆืคื•
* ื”ื™ืฉื’ื™ื ื•ืชื’ื™ื - ืคืชื—ื• ืื‘ื ื™ ื“ืจืš ืชื•ืš ื›ื“ื™ ืœืžื™ื“ื”

## ๐ŸŽจ ื”ืชืื ืื™ืฉื™ืช ืืช ื”ื—ื•ื•ื™ื” ืฉืœืš

ื”ืคื›ื• ืืช ื”ืืคืœื™ืงืฆื™ื” ืœืฉืœืš ืขื ืืคืฉืจื•ื™ื•ืช ื”ืชืืžื” ืื™ืฉื™ืช ื’ืžื™ืฉื•ืช:

### ืขืจื›ื•ืช ื ื•ืฉื

* ืžืฆื‘ ื‘ื”ื™ืจ
* ืžืฆื‘ ื›ื”ื”
* ื‘ืจื™ืจืช ืžื—ื“ืœ ืฉืœ ื”ืžืขืจื›ืช

### ืคืœื˜ื•ืช ืฆื‘ืขื™ื

* ื›ื—ื•ืœ ืคื™ื™ืชื•ืŸ
* ื—ืฆื•ืช
* ื™ืขืจ
* ืฉืงื™ืขื”
* ืฆื‘ืขื™ื ื“ื™ื ืžื™ื™ื ืฉืœ Material You

ื ื‘ื ื” ื‘ืืžืฆืขื•ืช ืžืขืจื›ืช ื”ืขื™ืฆื•ื‘ ื”ืžื•ื“ืจื ื™ืช Material 3 ืฉืœ ื’ื•ื’ืœ ืœื—ื•ื•ื™ื” ื ืงื™ื™ื” ื•ืžืœื•ื˜ืฉืช.

## ๐Ÿค ื ื‘ื ื” ืขืœ ื™ื“ื™ ืžืคืชื— ืขืฆืžืื™

**ื”ื•ืจื™ื“ื• ืขื•ื“ ื”ื™ื•ื ื•ื”ืชื—ื™ืœื• ืœื‘ื ื•ืช ืืช ื›ื™ืฉื•ืจื™ ื”ืคื™ื™ืชื•ืŸ ืฉืœื›ื ื•ืืช ื”ื‘ื™ื˜ื—ื•ืŸ ืฉืœื›ื ื‘ืจืื™ื•ื ื•ืช.**
ืœืžื“ ืคื™ื™ืชื•ืŸ, ืชืจื’ืœ ืฉืืœื•ืช ืจืื™ื•ืŸ ื•ืขืงื•ื‘ ืื—ืจ ื”ื”ืชืงื“ืžื•ืช ืฉืœืš
ืขื“ื›ื•ืŸ ืื—ืจื•ืŸ ื‘ืชืืจื™ืš
14 ื‘ื™ื•ื ื™ 2026

ืื‘ื˜ื—ืช ื ืชื•ื ื™ื

ื›ื“ื™ ืœืฉืžื•ืจ ืขืœ ื”ื‘ื˜ื™ื—ื•ืช ืฆืจื™ืš ืงื•ื“ื ื›ืœ ืœื”ื‘ื™ืŸ ืื™ืš ื”ืžืคืชื—ื™ื ืื•ืกืคื™ื ื•ืžืฉืชืคื™ื ืืช ื”ื ืชื•ื ื™ื ืฉืœืš. ื ื•ื”ืœื™ ืคืจื˜ื™ื•ืช ื”ื ืชื•ื ื™ื ื•ืื‘ื˜ื—ืช ื”ื ืชื•ื ื™ื ืขืฉื•ื™ื™ื ืœื”ืฉืชื ื•ืช ื‘ื”ืชืื ืœืฉื™ืžื•ืฉ, ืœืื–ื•ืจ ื•ืœื’ื™ืœ ื”ืžืฉืชืžืฉ. ื”ืžืคืชื— ืกื™ืคืง ืืช ื”ืžื™ื“ืข ื”ื–ื” ื•ื”ื•ื ืขืฉื•ื™ ืœืขื“ื›ืŸ ืื•ืชื• ืžื“ื™ ืคืขื.

ืžื” ื—ื“ืฉ?

Learning chapters and Interview Questions