


Detailed description of Python's Collections built-in module
ccollections is a built-in module of python. The source code is located in Lib/collections/init.py. This module provides a universal data container.
deque containerObject
is introduced through from collections import deque. When creating a deque container object, you can set the parameter to an Iterable object (such as tuple, list, str) or maxlen=x (int type) or None for initialization.
deque container supports threadssafety. When inserting or removing elements from both ends of deque through append or pop, the time complexity is O(1) . Compared with the list object, the list also has the same api to implement the same function, but for operations on the list such as pop(0) or insert(0, x), the time complexity is O(n) .
If maxlen is not declared or maxlen=None is declared when initializing deque, the deque container can hold any number of elements. Otherwise, the deque container will be defined as a limited-length element container.
Once the number of elements in the container reaches the set maxlen, when new elements are added, the same number of elements will be excluded from the other end of the added element, thus ensuring that the elements in the current deque All are newly added elements.
deque objectfunction
append(x)
appendleft(x)
clear()
copy()
count(x): Returns the number of elements with value x in the container
extend(iterable)
extendleft(iterable)
index(x): Find the first value of x in the container Element index , if it does not exist, throw ValueError exception
insert(idx, x)
pop()
popleft()
remove(x)
reverse(): flip the elements in the container and return None
rotate(n)
deque object read-only attribute
maxlen
In addition to the above object functions, since the deque object is also an Iterable object, then len(deque);reversed(deque);copy.copy(deque);copy. Functions such as deepcopy(deque) also work. The same in operator is also used when traversing the deque operation. The slicing operation deque[-1] can also return the last element in the container. If you operate on random elements in the container, it is recommended to use list.
demo
Get the content of the line where the python string is located in the file, and the first three lines of this line
from collections import deque def search(lines, pattern, maxlen): pre_lines = deque(maxlen=maxlen) for line in lines: if pattern in line: yield line, pre_lines pre_lines.append(line) if name == 'main': with(open('./test.txt')) as f: for line, pre_lines in search(f, 'python', 3): for pre_line in pre_lines: print(pre_line, end='') print(line)
Enter the text file content For
c# c c++ javascript python java delphi python golang perl css html python
the code output is
c c++ javascript python python java delphi python perl css html python
The above is the detailed content of Detailed description of Python's Collections built-in module. 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



In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

VS Code not only can run Python, but also provides powerful functions, including: automatically identifying Python files after installing Python extensions, providing functions such as code completion, syntax highlighting, and debugging. Relying on the installed Python environment, extensions act as bridge connection editing and Python environment. The debugging functions include setting breakpoints, step-by-step debugging, viewing variable values, and improving debugging efficiency. The integrated terminal supports running complex commands such as unit testing and package management. Supports extended configuration and enhances features such as code formatting, analysis and version control.

Yes, VS Code can run Python code. To run Python efficiently in VS Code, complete the following steps: Install the Python interpreter and configure environment variables. Install the Python extension in VS Code. Run Python code in VS Code's terminal via the command line. Use VS Code's debugging capabilities and code formatting to improve development efficiency. Adopt good programming habits and use performance analysis tools to optimize code performance.
