李奥 - 追梦赤子心

python的重要性不必多说了，下面来介绍一下windows和mac系统下相关的安装和配置过程：windows环境：(1)首先在python的官网https://www.python.org，下载系统相应的python版本。        (2）下载完毕后进行安装，在安装的过程中记住勾选 Add Python X.XX In PATH, 然后可以选择默认安装或者自定义安装（设置安装位置

#简单好用的python（速度慢）+ 速度较快的numpy（基于C语言）#在numpy中，创建二维数组的默认方式为“C-type”，以行序在内存中存储数据#如果是“Fortran”方式创建，是以列序在内存中存储import numpy as npimport pandas as pdimport timerow_major = np.zeros((10,10),order

import pandas as pddf1 = pd.DataFrame({'col1':[0,1],'col_left':['a','b']})#按列定义df2 = pd.DataFrame({'col1':[1,2,2],'col_right':[2,2,2]})print(df1)##   col1 col_left##0     0        a##1

#numpy主要是列表形式，pandas主要是字典形式，pandas是基于numpy构建的#使得应用更加的简单，pandas的两个主要的数据结构为：Series和DataFrameimport pandas as pdimport numpy as nps = pd.Series([1,3,6,np.nan,44,1])print(s)#Series的字符串形式为：索引

import numpy as nparray = np.array([[1,2,3],[2,3,4]]) #列表转化为矩阵print(array)print('number of dim:',array.ndim) #打印维度print('shape:',array.shape) #行数和列数print('size:',array.size) #元素个数+

import numpy as npA = np.arange(3,15)#array([3,4,5,6,7,8,9,10,11,12,13,14])print(A[3]) #6A = np.arange(3,15).reshape((3,4))print(A[2])#[11 12 13 14]，打印第3行print(A[1][1]) #8print(A[1,1

import tkinter as tkwindow = tk.Tk()window.title('my window')window.geometry('200x200')l = tk.Label(window,text='',bg='yellow')#定义labell.pack()#把label包装到窗口上counter = 0def do_job():

import tkinter as tk #引入模块window = tk.Tk() #设置window对象window.title('my window')window.geometry('200x200')l = tk.Label(window,bg = 'yellow',width = 22,text = 'empty')#设置Label对象，宽度是2

import tkinter as tk  #引入GUI模块window = tk.Tk()     #创建Tk对象--窗口window.title('my window') #窗口的名称window.geometry('200x100')#窗口的大小，注意xvar = tk.StringVar() #定义字符串变量对象l = tk.Label(wind

import picklea_dict = {'da':111,2:[23,1,4],'23':{1:2,'d':'sad'}}file = open('pickle_example.pickle','wb')pickle.dump(a_dict,file)file.close()file = open('pickle_example.pickle','rb')a_

#多核运算 multiprocessingimport multiprocessing as mp#import threading as tddef job(a,d):print('aaaaa')if__name__ == '__main__'#t1 = td.Thread(target = job, args=(1,2)) #job表示引用，job()表

import threadingimport timedef thread_job():print('Task start\n')for i in range(10):time.sleep(0.1) #每做一步，休息0.1秒print('Task finish\n')def main():added_thread = threading.Thread(target

a = [1,2,3,4,5]  #列表multi_dim_a = [[1,2,3],    [4,5,6],    [7,8,9]]   #多维列表print(a[1])  #2print(multi_dim_a[0][1]) #2,第0行第1个元素print(a[0]) #1print(multi_dim_a[2][2])#5,第2行第2个元素，从0开始a_li

python中，**表示指数，ctrl+c终止程序，ctrl+] 和 ctrl+[ 用来调格式，//表示整除。def sale_car(price, brand, color = 'red', brand = 'carmy', is_second_hand = True):  #非默认参数要放在默认参数的前面，否则运行时会报错print('...') def fun()

##matplotlib可以画出：线图，散点图，等高线图，条形图，柱状图，3D图形，图形动画等import matplotlib.pyplot as pltimport numpy as np#使用np.linspace定义x:范围是(-1,1),个数是50个#仿真一维数组(x,y)表示曲线x = np.linspace(-1,1,50)y = 2*x + 1