特殊的数据类型
>>> list1 = [1, 'wang', 'tao'] >>> tuple1 = (2, 'wang', 'tao', 'yuan') #tuple的内容不可更改 >>> dict1 = { #dict的元素分为 key:value两部分,key不能重复 'wang':90, 'tao':99, 'yuan':100 }
dict 的用法,转自
OperationResultNoteslen(a)the number of items in a 得到字典中元素的个数 a[k]the item of a with key k 取得键K所对应的值(1), (10)a[k] = vset a[k] to v 设定键k所对应的值成为v del a[k]remove a[k] from a 从字典中删除键为k的元素(1)a.clear()remove all items from a 清空整个字典 a.copy()a (shallow) copy of a 得到字典副本 k in aTrue if a has a key k, else False 字典中存在键k则为返回True,没有则返回False(2)k not in aEquivalent to not k in a 字典中不存在键k则为返回true,反之返回False(2)a.has_key(k)Equivalent to k in a, use that form in new code 等价于k in a a.items()a copy of a's list of (key, value) pairs 得到一个键,值的list(3)a.keys()a copy of a's list of keys 得到键的list(3)a.update([b])updates (and overwrites) key/value pairs from b从b字典中更新a字典,如果键相同则更新,a中不存在则追加(9)a.fromkeys(seq[, value])Creates a new dictionary with keys from seq and values set to value (7)a.values()a copy of a's list of values(3)a.get(k[, x])a[k] if k in a, else x(4)a.setdefault(k[, x])a[k] if k in a, else x (also setting it)(5)a.pop(k[, x])a[k] if k in a, else x (and remove k)(8)a.popitem()remove and return an arbitrary (key, value) pair(6)a.iteritems()return an iterator over (key, value) pairs(2), (3)a.iterkeys()return an iterator over the mapping's keys(2), (3)a.itervalues()return an iterator over the mapping's values(2), (3) |
set ([ , ])相当于dict的key组成的列表,具有元素不可重复 的特点
特殊操作
定义函数 def f( ): f为函数名,注意后面要加 冒号
增加操作 append() 追加到list尾部
extend()将列表b加到a后
insert(1, 'g')
The above is the detailed content of Introduction to Python basics. For more information, please follow other related articles on the PHP Chinese website!

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Python and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.

Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.

Whether to choose Python or C depends on project requirements: 1) Python is suitable for rapid development, data science, and scripting because of its concise syntax and rich libraries; 2) C is suitable for scenarios that require high performance and underlying control, such as system programming and game development, because of its compilation and manual memory management.

Python is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.


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

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 English version
Recommended: Win version, supports code prompts!

SublimeText3 Chinese version
Chinese version, very easy to use

Dreamweaver Mac version
Visual web development tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft