How to be a Big data Master step 1

Never too late to learn...... 

I guss never too late to be a cool buty smart girl......

I am A master student i CityU Macau, major in interational tourism and hospitality(English section),

while it is my secend year(also the last year)

I did my betchler program in China mainland with double degrees, The Internet of Thigs & Eglish......lucky me,IoT is the hottest major in my generation,even now...

here I start

 

Knowing about some kownledge about java and scala.....I choose python....hh

get the softwere of python 3.* and pycharm....set the computer env....(4 my windows system)

and write my first "Hello Word!"in Python..then learn char...,defination grammar...loop grammar...interaction of customers...detiles will not to be maintioned..

practise the code just like that:

#Author:Mini
#!/usr/bin/env python
#-*-utf-8-*-
#import getpass
print("hello world")
name=input("name:")
name2=name
name="baby"
'''hello world'''
print("hello",name,name2)
info="""name%s
age %s"""% (name,name2)
print(info)
print(type(name2))
age=int(input("age:"))
info2="""
name={a}
job={b}
""".format(a="a1", b="b1")
info3="""
name={0}
job={1}""".format("aa","bb")
print(info,info2,info3)
password1=input("passwprd:")
if name2==password1 and name2!= name:
print(password1)
else:print("")

boyage=int(56)
count =0
while count<3 :
gussage=int(input("gussage:"))
if gussage==boyage:
print(gussage)
break
elif gussage>=boyage:
print("smaller!")
else:print("biger")
count=count+1
else:print("try 2 many times!fuck off!")

for i in range(0,10,2):
print(i)

for c in range(3):
print("like u +"+c)

else:print("love u")


#Author:Mini
#!/usr/bin/env python
for i in range(0,10,2):
print(i)
if i<3:
print("like u+",i)
else:
continue
print("love u")

 



                
To create a PAL decoder block in GNU Radio Companion (GRC), you can follow these steps: 1. Open GNU Radio Companion and create a new flow graph. 2. Drag a "QT GUI Frequency Sink" block onto the flow graph canvas and connect it to the output of your PAL decoder block. This will allow you to visualize the output of your decoder. 3. Drag a "Feedforward AGC" block onto the flow graph canvas and connect it to the output of your PAL decoder block. This block will adjust the gain of the signal to a constant level. 4. Drag a "Low Pass Filter" block onto the flow graph canvas and connect it to the output of the AGC block. This block will remove high-frequency noise from the signal. 5. Drag a "Throttle" block onto the flow graph canvas and connect it to the output of the low pass filter block. This block limits the rate at which the signal is processed to prevent overloading the CPU. 6. Drag a "QT GUI Time Sink" block onto the flow graph canvas and connect it to the output of the throttle block. This block will allow you to visualize the output of the decoder in the time domain. 7. Finally, add a "PAL Decoder" block to the flow graph. You can find this block in the "Digital" section of the block library. Connect the input of the decoder block to your PAL signal source and the output to the input of the AGC block. 8. Configure the PAL Decoder block according to your signal's characteristics, such as the frequency offset and the type of PAL signal being used. 9. Save the flow graph and run it to see the output of your PAL decoder block. Note that the specific steps may vary depending on your signal source and the requirements of your PAL decoder.
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