The main difference between Python and C is: interpreted vs. compiled: Python is interpreted and C is compiled. Dynamic typing vs. static typing: Python uses dynamic typing, C uses static typing. Syntax and structure: Python syntax is concise, C syntax is complex. Performance and efficiency: C is generally faster and more efficient than Python. Application areas: Python for data science, C for game development.
The difference between Python and C
Python and C are two different programming languages with different characteristics and uses.
Essential Difference
- Interpreted vs. Compiled:Python is an interpreted language, which means it is line-by-line code is executed, and C is a compiled language, which means it pre-compiles the code into machine code.
- Dynamic typing vs. static typing: Python uses dynamic typing, which means that the type of the variable is determined at runtime, while C uses static typing, which means that the type of the variable is determined at compile time. Sure.
Syntax and structure
- Python: Python syntax is concise and easy to understand, with extensive use of indentation and colons. It has object-oriented and functional programming features.
- C: C syntax is more complex, requiring semicolons to end statements and curly braces to enclose code blocks. It has powerful object-oriented features and low-level memory management capabilities.
Performance and Efficiency
- C: Typically faster and more efficient than Python because it compiles directly to the machine code.
- Python: Interpretability comes with some performance penalty, but it is very efficient at handling data structures such as strings, lists, and dictionaries.
Application Areas
- Python: is widely used in data science, machine learning, web development and automation.
- C: Commonly used to develop games, operating systems, high-performance computing and graphics applications.
Other Differences
- Libraries and Frameworks:Python has a rich set of libraries and frameworks for various tasks, C's libraries and frameworks, on the other hand, are more focused on low-level programming and performance.
- Community: Python has a large and active community that provides support and resources, while C's community is more focused on specific areas.
- Learning Curve: Python has a low learning curve and is suitable for beginners, while C has a steep learning curve and requires deeper programming knowledge.
The above is the detailed content of What is the difference between programming python and c++. For more information, please follow other related articles on the PHP Chinese website!
How to Use Python to Find the Zipf Distribution of a Text FileMar 05, 2025 am 09:58 AMThis tutorial demonstrates how to use Python to process the statistical concept of Zipf's law and demonstrates the efficiency of Python's reading and sorting large text files when processing the law. You may be wondering what the term Zipf distribution means. To understand this term, we first need to define Zipf's law. Don't worry, I'll try to simplify the instructions. Zipf's Law Zipf's law simply means: in a large natural language corpus, the most frequently occurring words appear about twice as frequently as the second frequent words, three times as the third frequent words, four times as the fourth frequent words, and so on. Let's look at an example. If you look at the Brown corpus in American English, you will notice that the most frequent word is "th
How Do I Use Beautiful Soup to Parse HTML?Mar 10, 2025 pm 06:54 PMThis article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel
How to Perform Deep Learning with TensorFlow or PyTorch?Mar 10, 2025 pm 06:52 PMThis article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap
Serialization and Deserialization of Python Objects: Part 1Mar 08, 2025 am 09:39 AMSerialization and deserialization of Python objects are key aspects of any non-trivial program. If you save something to a Python file, you do object serialization and deserialization if you read the configuration file, or if you respond to an HTTP request. In a sense, serialization and deserialization are the most boring things in the world. Who cares about all these formats and protocols? You want to persist or stream some Python objects and retrieve them in full at a later time. This is a great way to see the world on a conceptual level. However, on a practical level, the serialization scheme, format or protocol you choose may determine the speed, security, freedom of maintenance status, and other aspects of the program
Mathematical Modules in Python: StatisticsMar 09, 2025 am 11:40 AMPython's statistics module provides powerful data statistical analysis capabilities to help us quickly understand the overall characteristics of data, such as biostatistics and business analysis. Instead of looking at data points one by one, just look at statistics such as mean or variance to discover trends and features in the original data that may be ignored, and compare large datasets more easily and effectively. This tutorial will explain how to calculate the mean and measure the degree of dispersion of the dataset. Unless otherwise stated, all functions in this module support the calculation of the mean() function instead of simply summing the average. Floating point numbers can also be used. import random import statistics from fracti
Scraping Webpages in Python With Beautiful Soup: Search and DOM ModificationMar 08, 2025 am 10:36 AMThis tutorial builds upon the previous introduction to Beautiful Soup, focusing on DOM manipulation beyond simple tree navigation. We'll explore efficient search methods and techniques for modifying HTML structure. One common DOM search method is ex
Professional Error Handling With PythonMar 04, 2025 am 10:58 AMIn this tutorial you'll learn how to handle error conditions in Python from a whole system point of view. Error handling is a critical aspect of design, and it crosses from the lowest levels (sometimes the hardware) all the way to the end users. If y
What are some popular Python libraries and their uses?Mar 21, 2025 pm 06:46 PMThe article discusses popular Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, Flask, and Requests, detailing their uses in scientific computing, data analysis, visualization, machine learning, web development, and H
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
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Atom editor mac version download
The most popular open source editor
mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),
SublimeText3 Linux new version
SublimeText3 Linux latest version
VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft
ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment
