知識點 ：網絡通信，socket的應用，udp和tcp發送和接收數據，網絡通信過程，廣播，三次握手四次揮手，并發服務器，數據庫MySQl的安裝和一些增刪改查的基本操作，生成數據，數據可視化等等

代碼 ：# import matplotlib.pyplot as plt

# input_values = [1,2,3,4,5]

# squares = [1,4,9,16,25]

# plt.plot(input_values,squares,linewidth = 5)

# # plt.plot(squares,linewidth = 10)

# plt.title('Square Numbers',fontsize = 24)

# plt.xlabel('Value',fontsize = 24)

# plt.ylabel('Square of Value',fontsize = 14)

# plt.tick_params(axis='both',labelsize = 14)

# plt.show()

# x_value = [1,2,3,4,5]

# y_value = [1,4,9,16,25]

# x_value = list(range(1,1001))

# y_value = [x ** 2 for x in x_value]

# plt.scatter(x_value,y_value,c = y_value,cmap = plt.cm.Blues,edgecolor='none',s=40)

# # plt.scatter(x_value,y_value,s=40)

# plt.title('Suare Numbers',fontsize = 24)

# plt.xlabel('Value',fontsize = 14)

# plt.ylabel('Square of Value',fontsize = 14)

# plt.tick_params(axis='both',which = 'major',labelsize = 14)

# plt.axis([0,1100,0,1100000])

# plt.savefig('squares_plot.png',bbox_inches = 'tight')

# from random import choice

#

# class Randomwork:

# def __init__(self,num_points = 5000):

# self.num_points = num_points

# self.x_values = [0]

# self.y_values = [0]

# def fill_walk(self):

# while len(self.x_values) < self.num_points:

# x_direction = choice([1,-1])

# x_distance = choice([0,1,2,3,4])

# x_step = x_direction * x_distance

#

# y_direction = choice([1,-1])

# y_distance = choice([0,1,2,3,4])

# y_step = y_direction * y_distance

#

# if x_step == 0 and y_step == 0:

# continue

# next_x = self.x_values[-1] + x_step

# next_y = self.y_values[-1] + y_step

#

# self.x_values.append(next_x)

# self.y_values.append(next_y)

# import matplotlib.pyplot as plt

# rw = Randomwork()

# rw.fill_walk()

# plt.scatter(rw.x_values,rw.y_values,s = 15)

# plt.show()

# while True:

# rw = Randomwork(50000)

# rw.fill_walk()

# plt.figure(dpi=128,figsize=(10,6))

# point_numbers = list(range(rw.num_points))

# plt.scatter(rw.x_values,rw.y_values,c = point_numbers,cmap = plt.cm.Blues,edgecolors='none',s = 1)

# plt.scatter(0,0,c = 'green',edgecolors='none',s = 100)

# plt.scatter(rw.x_values[-1],rw.y_values[-1],c = 'red',edgecolors='none',s = 100)

# plt.axes().get_xaxis().set_visible(False)

# plt.axes().get_yaxis().set_visible(False)

# plt.show()

#

# keep_running = input('Make another walk?(y/n):')

# if keep_running == 'n':

# break

# from random import randint

# import pygal

# class Die:

# def __init__(self,num_sides = 6):

# self.num_sides = num_sides

# def roll(self):

# return randint(1,self.num_sides)

#

# die1 = Die()

# die2 = Die(10)

# results = []

# for roll_num in range(50000):

# result = die1.roll() + die2.roll()

# results.append(result)

# # print(results)

#

# frequencies = []

# max_result = die1.num_sides + die2.num_sides

# for value in range(2,max_result + 1):

# frequency = results.count(value)

# frequencies.append(frequency)

# print(frequencies)

#

# hist = pygal.Bar()

#

# hist.title = "Result of rolling a D6 and a D10 50000 times."

# hist.x_labels = ['2','3','4','5','6','7','8','9','10','11','12','13','14','15','16']

# hist._x_title = 'Result'

# hist._y_title = 'Frenquency of Result'

#

# hist.add('D6 + D10',frequencies)

# hist.render_to_file('die_visual.svg')

總結 ：通過今天的學習，了解到了網絡通信的一些理論，并且進一步的接觸到了網絡通信編程，學會了mysql數據庫的一些基本的操作，還有生成數據圖表，實現數據可視化等等

總結

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