json模块是Python标准库中的一个模块,用于处理JSON(JavaScript Object Notation)数据。它提供了一组函数来解析和生成JSON数据,使得在Python中处理JSON变得非常方便。python import json # 序列化 :将本语言支持的高级数据对象转为json格式字符串的过程 num = 3.14 name = 'yuan
locreate – create a large object in the database [LO] N 大对象相关操作。 getlo – build a large object from given oid [LO] N 大对象相关操作。 loimport – import a file to a large object [LO] N 大对象相关操作。 Object attributes Y - The DB wrapper class Initialization Y - pkey...
Iterator is like range(11), compare to list = [0,1,...,10] all data is stored in memory. Iterator only generates values from looping through the object. # to get iterator from range function x = range(10) iter(x) x.__iter__() Map returns an interator from a list y = map(la...
对于py 文件,Python 虚拟机会先对py 文件进行编译产生PyCodeObject 对象,然后执行了co_code 字节码,即通过执行def、class 等语句创建PyFunctionObject、PyClassObject 等对象,最后得到一个从符号映射到对象的dict,自然也就是所创建的module 对象中维护的那个dict。 import 创建的module 都会被放到全局module 集合 sys.mo...
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= obj.mod_list: return False return True class Startup(object): """Startup configuration information current: current startup configuration next: current next startup configuration """ def __init__(self): self.current, self.next = self.get_startup_info() self.is_need_clear_config = ...
并用memory_profiler 来监控代码占用的内存 列表推导法例子: # 如果系统没有这个模块就执行pip install memory_profiler进行安装 from memory_profiler import profile @profile def fun_try(): test = [] for i in range(20000): test.append(i) for num in [t for t in test]: print(num) fun_try()...
(用于管理python中创建的对象)、引用计数器和对象类型,双向链表和引用计数器主要是为了管理对象和垃圾回收机制的,像list这种PyVarObject会有ob_size,也就是元素个数,但是如果查看longObject这种数据类型(python3中没有long类型,只有int,而int是用C中的long实现的)我们发现也是PyVarObject,但是它并不像列表需要放很多...
'pandas.core.frame.DataFrame'> RangeIndex: 6040 entries, 0 to 6039 Data columns (total 5 columns): UserID 6040 non-null int64 Gender 6040 non-null object Age 6040 non-null int64 Occupation 6040 non-null int64 Zip-code 6040 non-null object dtypes: int64(3), object(2) memory usage: ...
To fix the problem, setDEBUGtoFalse. If you need to clear the query list manually at any point in your functions,just callreset_queries(), like this: from django import db db.reset_queries() 1. 2.