The difference between python and spyder
Python (Recommended learning: Python video tutorial)
is an interpreted, object-oriented A high-level programming language with dynamic semantics
The first Python compiler/interpreter was born in 1991. The name Python comes from Guido's beloved TV series Monty Python's Flying Circus. Python is between C and Shell, full-featured and easy to learn. Easy to use, scalable
Glue language: easy to connect with other famous programming languages (C/C), integrated package scripting language: high-level scripting language, more powerful object-oriented language than scripting language that can only handle simple tasks : Fully supports inheritance, overloading, derivation, and multiple inheritance
Spyder
is a simple integrated development environment developed for it by the author of Python(x,y) . Compared with other Python development environments, its biggest advantage is that it imitates the "workspace" function of MATLAB, making it easy to observe and modify the values of arrays.
Spyder's interface consists of many panes, and users can adjust their position and size according to their preferences. When multiple panes appear in an area, they will be displayed in the form of tabs. For example, in Figure 1, you can see "Editor", "Object inspector", "Variable explorer", "File explorer", "Console", "History log" and two panes that display images. You can set whether to display these panes in the View menu.
Under the default configuration, variables starting with capital letters are not displayed in the "Variable explorer" pane. You can click the configuration button (the last button) in the toolbar and cancel "Exclude capitalized references" in the menu selected state.
In the console, you can press the Tab key for automatic completion.
For more Python related technical articles, please visit the Python Tutorial column to learn!
The above is the detailed content of The difference between python and spyder. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1666
14
1425
52
1328
25
1273
29
1253
24
PHP and Python: Different Paradigms Explained
Apr 18, 2025 am 12:26 AM
PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.
Choosing Between PHP and Python: A Guide
Apr 18, 2025 am 12:24 AM
PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.
How to run sublime code python
Apr 16, 2025 am 08:48 AM
To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.
PHP and Python: A Deep Dive into Their History
Apr 18, 2025 am 12:25 AM
PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.
Python vs. JavaScript: The Learning Curve and Ease of Use
Apr 16, 2025 am 12:12 AM
Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.
Golang vs. Python: Performance and Scalability
Apr 19, 2025 am 12:18 AM
Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.
Where to write code in vscode
Apr 15, 2025 pm 09:54 PM
Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.
How to run python with notepad
Apr 16, 2025 pm 07:33 PM
Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
