# 48_python_study

**Repository Path**: linux2014/48_python_study

## Basic Information

- **Project Name**: 48_python_study
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-01-08
- **Last Updated**: 2025-09-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


---


### python官网:
https://www.python.org/  
https://docs.python.org/zh-cn/3.12/contents.html


#### Python/C API Reference Manual:
https://docs.python.org/3.7/c-api/index.html
#### python developer guide--parser:
https://devguide.python.org/internals/parser/#parser
#### Python Developer’s Guide
https://devguide.python.org/

#### pypy:
https://pypy.org/download.html

##### Build Python:
```
./configure --with-pydebug && make -j $(nproc)
./configure --with-pydebug && make -j8
PCbuild\build.bat -e -d
```
---

### pdb:
https://docs.python.org/zh-cn/3.12/library/pdb.html  
https://zhuanlan.zhihu.com/p/690690101  
### pudb:  
https://www.cnblogs.com/brt2/p/13756614.html  

---

### python函数的参数次序:
标准参数,元组参数,字典参数;

---
---

### python项目:
https://cloud.tencent.com.cn/developer/special/studyPython

---

### 还有python源码项目:
https://github.com/xmq1024/part_21
https://github.com/Dujltqzv/Some-Many-Books
https://github.com/trluper/trluper.github.io
https://github.com/baiyongan/advanced-python-techniques

---

### cython
https://cython.readthedocs.io/en/latest/  
https://www.cnblogs.com/kuenwa/p/18572051  

---

### python高阶编程:
装饰器
上下文管理器
生成器
进程、线程、协程(asyncio,async,await);
(https://www.doubao.com/thread/w20c959c9e099b0ac)

进程--操作系统分配资源的基本单位;
线程--操作系统调度执行体的基本单位;
协程--用户空间内的轻量级线程,调度在用户态完成,内核态不参与;

#### 任务类型和方案:
多进程--CPU密集型;
多线程/多协程--IO密集型;


GIL,(https://www.doubao.com/thread/w0d40f61c3f60d1d3)
在Python中，GIL（Global Interpreter Lock，全局解释器锁） 是CPython解释器（Python 最主流的实现）中的一个核心机制;
一个进程内最多只有一个线程获得GIL;
线程获得GIL之后才可执行字节码;
GIL的释放:时间片耗尽,IO操作,time.sleep();


---

### python3的优化方案:
https://cloud.tencent.com/developer/article/2518754
cpu密集型--多进程/多协程;
io密集型--多线程;
降低内存--__slots__,生成器;
引入cython,借助C语言优化;



---
### python打包:

https://cloud.tencent.com.cn/developer/article/2340396?policyId=1004
https://blog.csdn.net/wuShiJingZuo/article/details/135578475

https://cloud.tencent.com/developer/article/2550690


#### PyInstaller（推荐）
```
# 安装
pip install pyinstaller

# 打包命令（基础版）
pyinstaller -F -w code-summar-tool.py

# 高级版（添加图标）
pyinstaller -F -w -i app.ico code-summar-tool.py
```

#### Nuitka（编译为原生二进制）
```
# 安装
pip install nuitka

# 打包命令
nuitka --standalone --onefile --windows-disable-console code-summar-tool.py
```

---
### python内存分析

```
pympler,
muppy--对象列表;
summary--汇总统计;
ObjectTracker--追踪统计;

memory_profiler 

tacemalloc,
gc 
```

https://cloud.tencent.com/developer/information/%E5%BB%BA%E8%AE%AE%E4%BD%BF%E7%94%A8%E5%93%AA%E7%A7%8DPython%E5%86%85%E5%AD%98%E5%88%86%E6%9E%90%E5%99%A8%EF%BC%9F  
https://cloud.tencent.com/developer/article/2332909?from=15425&frompage=seopage 
https://cloud.tencent.com/developer/article/1459715?from=15425&frompage=seopage  
https://blog.csdn.net/strayeagle/article/details/142177219

https://gavin-wang-note.github.io/2018/09/26/python_memory_profiler/  


---


---


### python函数的参数列表:
标准参数,位置参数(*args,元组),关键字参数(**kwargs,字典);

### python3的命令行传参数:
在Python中，你可以通过命令行参数向你的脚本传递参数。这通常是通过sys.argv来实现的，sys.argv是Python标准库sys模块的一部分。

---

### python库

https://zhuanlan.zhihu.com/p/533695865
https://mp.weixin.qq.com/s?__biz=MzkwMDM4Njc5Nw==&mid=2247493868&idx=1&sn=a0f277605c325d138313e9ef8d26a059&chksm=c046726ef731fb78bbe63d183ce58311723c772705f277b1edead624c7d2aa92aa2eabf6cc92&scene=27

```
NetworkX Neupy  SciPy SymPy SimPy
```

---

### python实现的架构图工具
https://github.com/mingrammer/diagrams

---


### python3的内置方法
[docs/python_method.md]

### python3,包、模块、函数、对象的内置属性:
[docs/python_attr.md]


### python3的包管理pip
[docs/pip_pkg.md]

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