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What is framerwork?.??

# Web Site Writing Basics # Trending # Pythonprogramming # framwork

In the simplest way, the framework is like a "prefabricated house frame."

Imagine that if you were to build a house (programming) yourself, you would have to start forging bricks, mixing mortar, wiring yourself, which is a waste of time. But if you use the framerworks, they will have the main structures (pillars, beams, water / lighting) prepared. You will only have to decorate the room or add the functions you want.

In Python's corner, the framework is a set of commands and libraries that are organized to help us program faster, safer, and more organized without starting from scratch.

Why should we use frameworks?

Save time: Do not rewrite code in parts that every project must have (e.g. login system or database connection)

It's standard: The code will be methodical, making it easy for other people on the team to read and modify the task.

Security: Loud frameworks usually have a basic attack protection system (such as SQL Injection) built in.

The most popular type of Python Framework.

To visualize it clearly, we usually divide it by the work used:

1.Web Development (Website Building Line)

Django: Like a "luxury housing" with full furniture (Admin Panel, Database, Membership System) fits big tasks that focus on building speed.

Flask / FastAPI: Like an "open studio" that lets you fully design yourself. Light and fast. Fits small tasks or API making.

2.Data Science & AI (Data Analysis Line)

PyTorch / TensorFlow: is the main framework for building AI and Deep Learning.

Scikit-learn: Structures for Making Machine Learning (Data Forecast)

3.GUI (Desktop Screen Program Cable)

PyQt / Tkinter: Used to create programs with keypads, with windows like the ones we use on Windows or macOS.

Brief summary:

Python is a functional language, and the Framework is a "strong buoy tool kit" designed specifically for that type of work.

4/5 Edited to

... Read moreจากประสบการณ์ตรงในการใช้เฟรมเวิร์ค Python ผมพบว่าเฟรมเวิร์คนั้นช่วยลดภาระงานที่ซ้ำซากและทำให้โค้ดสะอาดขึ้นอย่างมาก การใช้ Django ในโปรเจกต์เว็บขนาดใหญ่ ทำให้ผมไม่ต้องเสียเวลาสร้างระบบสมาชิกหรือระบบจัดการฐานข้อมูลเองทั้งหมด เพราะเฟรมเวิร์คมีเครื่องมือพร้อมให้ใช้งานทันที ช่วยประหยัดเวลาและทำให้แอปพลิเคชันมีความปลอดภัยมากขึ้นโดยอัตโนมัติ ส่วนในโปรเจกต์ที่ต้องการความยืดหยุ่นสูง เช่น API เล็กๆ หรือบริการเบาๆ FastAPI และ Flask คือทางเลือกที่ดีมาก เนื่องจากง่ายต่อการปรับแต่งและเร็ว นอกจากนี้ ในสายงาน AI และ Data Science เฟรมเวิร์คอย่าง PyTorch และ TensorFlow ช่วยให้นักพัฒนาระดับเริ่มต้นถึงมืออาชีพ สามารถสร้างโมเดลเรียนรู้เชิงลึกได้แบบมีโครงสร้างและเครื่องมือรองรับครบถ้วน ทำให้ลดความซับซ้อนของการเขียนโค้ดที่ต้องคำนวณและจัดการข้อมูลจำนวนมากได้อย่างมีประสิทธิภาพ สำหรับโปรแกรมที่ต้องการหน้าต่าง GUI บนเดสก์ท็อป PyQt และ Tkinter เป็นตัวเลือกยอดนิยมที่ช่วยให้งานออกแบบหน้าจอมีความสวยงามและใช้งานง่าย ทั้งหมดนี้ทำให้เฟรมเวิร์คกลายเป็นองค์ประกอบสำคัญที่ช่วยให้นักพัฒนาไม่ต้องสร้างทุกอย่างขึ้นมาใหม่ ตั้งแต่ศูนย์แต่สามารถโฟกัสงานที่สร้างสรรค์จริงๆ ได้มากขึ้น และยังทำให้ทีมทำงานร่วมกันได้สะดวกยิ่งขึ้น เพราะมีมาตรฐานของโค้ดที่ชัดเจนและสอดคล้องกัน

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