杰瑞科技汇

Python Windows IDE选哪个?

Of course! Choosing the right IDE (Integrated Development Environment) for Python on Windows can significantly boost your productivity. The "best" one depends on your specific needs, whether you're a beginner, a data scientist, a web developer, or a professional working on large projects.

Python Windows IDE选哪个?-图1
(图片来源网络,侵删)

Here’s a breakdown of the top Python IDEs for Windows, categorized by user type.


Quick Guide: Which IDE Should You Choose?

If you are... The Best Choice is... Why?
A complete beginner Thonny Extremely simple, comes with Python, and focuses on learning.
A beginner who wants to learn "real" IDEs Visual Studio Code Free, lightweight, powerful, and the industry standard for most devs.
A professional or working on large projects PyCharm The most powerful, feature-rich IDE specifically for Python.
A data scientist or ML engineer PyCharm Professional or VS Code PyCharm has deep ML integration; VS Code is lighter with great extensions.
A web developer (Django, Flask, etc.) PyCharm Unmatched support for web frameworks and templating.
Someone who likes a classic, all-in-one IDE Spyder Built for scientific computing, similar to MATLAB.

Detailed Breakdown of Each IDE

Visual Studio Code (VS Code)

Best for: Everyone from beginners to professionals. It's the modern, versatile choice.

  • Description: VS Code is a free, open-source, and lightweight source-code editor developed by Microsoft. While not a full IDE out of the box, its vast extension ecosystem makes it a powerful and customizable Python development environment.
  • Pros:
    • Free & Cross-Platform: Works perfectly on Windows, macOS, and Linux.
    • Lightweight & Fast: Starts up quickly and is very responsive.
    • Massive Extension Marketplace: You can add extensions for Python (Microsoft's official one is great), Git, Docker, linting, testing, and virtually any other tool you can imagine.
    • Integrated Terminal: A powerful terminal is built right into the interface, so you don't have to switch between windows.
    • Excellent Git Integration: Best-in-class source control management.
    • Highly Customizable: You can change the theme, keyboard shortcuts, and editor to your liking.
  • Cons:
    • Requires installing extensions to get full IDE functionality (like debugging, linting, etc.).
    • Can become slightly slower than a native IDE if you install too many extensions.
  • Who it's for: Web developers, data scientists, hobbyists, students, and professionals working on various types of projects. It's the safest and most recommended choice for most people today.

Getting Started:

  1. Download and install Visual Studio Code.
  2. Open the Extensions view (Ctrl+Shift+X).
  3. Search for and install the "Python" extension by Microsoft.

PyCharm

Best for: Serious Python developers, especially those working on large applications or web frameworks.

Python Windows IDE选哪个?-图2
(图片来源网络,侵删)
  • Description: PyCharm is a dedicated, full-featured IDE for Python, developed by JetBrains. It comes in two editions: a free Community Edition and a paid Professional Edition.
  • Pros:
    • Intelligent Code Editor: Unmatched code completion, inspection, and on-the-fly error checking.
    • Deep Framework Support: Fantastic built-in support for Django, Flask, FastAPI, Google App Engine, and more.
    • Powerful Debugger: A sophisticated debugger that allows you to step through code, inspect variables, and evaluate expressions on the fly.
    • Integrated Testing & Profiling: Excellent tools for running tests (pytest, unittest) and profiling your code to find bottlenecks.
    • Professional Edition Features: Database tools, scientific tools (like Jupyter support), remote development, and advanced web development features.
  • Cons:
    • Can be resource-intensive: It's a heavier application and might feel slow on older machines.
    • The Professional Edition is paid. The Community Edition is free but lacks some advanced features (like advanced web and database tools).
  • Who it's for: Professional Python developers, software engineers, and anyone building complex applications.

Getting Started:

  1. Download and install PyCharm. Choose the Community Edition for free.
  2. When creating a new project, make sure to select the correct Python interpreter.

Thonny

Best for: Absolute Python beginners, especially children or those new to programming.

  • Description: Thonny is a simple, beginner-friendly IDE designed to help new programmers learn Python without getting overwhelmed by complex features.
  • Pros:
    • Super Simple Interface: Clean and uncluttered, focusing on the essentials.
    • Bundled with Python: It comes with its own version of Python, so there's no separate installation or configuration needed.
    • Excellent Debugging for Beginners: Shows variable values in a very clear way and allows you to step through code line-by-line.
    • Focus on Learning: It helps you understand how your code is executed.
  • Cons:
    • Too simple for professional work: Lacks the advanced features, extensions, and power of VS Code or PyCharm.
    • Not suitable for large projects or complex development workflows.
  • Who it's for: People taking their first steps in programming, students in introductory courses, and educators.

Getting Started:

  1. Download and install Thonny. That's it! It's self-contained.

Spyder

Best for: Data scientists, engineers, and scientists who need a MATLAB-like environment.

  • Description: Spyder is an open-source scientific IDE that is part of the Anaconda distribution. It's designed specifically for data analysis and interactive computing.
  • Pros:
    • MATLAB-like Interface: Familiar layout with an editor, a console, and variable explorer panes.
    • Excellent Data Exploration: The variable explorer allows you to view and edit arrays, dataframes (from pandas), and other data structures easily.
    • Integrated with Anaconda: Seamlessly works with the vast scientific Python libraries (NumPy, Pandas, Matplotlib, etc.).
    • Good for Scripting and Interactive Work: Great for both writing scripts and doing interactive data analysis.
  • Cons:
    • Can be slower to start than other options.
    • The interface is less customizable than VS Code.
    • Not as strong for general-purpose software development or web projects.
  • Who it's for: Data analysts, scientists, engineers, and researchers who primarily work with numerical data and scientific computing.

Getting Started:

  1. The easiest way is to install it via the Anaconda Distribution. It will be included by default.

IDLE (Built-in)

  • Description: IDLE is the very simple IDE that comes bundled with the standard Python installer on Windows. It's named after Monty Python's Eric Idle.
  • Pros:
    • No installation needed: It's already there if you have Python installed.
    • Very simple: Good for running a quick script without any setup.
  • Cons:
    • Extremely basic with minimal features.
    • The user interface feels dated and clunky.
    • Lacks a modern debugger, code completion, and other essential tools.
  • Who it's for: Someone who just installed Python and wants to run a "Hello, World!" script and nothing more. Not recommended for any real development.

Summary Table

IDE Price Ease of Use Learning Curve Best For
VS Code Free Easy Low General purpose, web, data, everyone
PyCharm Free/Paid Moderate Medium Professional Python, large apps, web dev
Thonny Free Very Easy Very Low Absolute beginners, education
Spyder Free Moderate Low-Medium Data science, scientific computing
IDLE Free Easy Very Low Quick, simple scripts (not recommended)

Final Recommendation

  • For 95% of users, start with Visual Studio Code. It's the perfect balance of power, flexibility, and ease of use.
  • If you are a beginner and feel intimidated by VS Code, try Thonny first to get the basics down, then move to VS Code.
  • If you are a professional Python developer or plan to build complex applications, especially web apps, PyCharm Professional is worth the investment. The free Community Edition is also excellent for many use cases.
  • If your main focus is data science and you already use Anaconda, Spyder is a fantastic choice.
分享:
扫描分享到社交APP
上一篇
下一篇