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Merge branch 'master' of https://github.com/linrakesh/python
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@linrakesh
linrakesh committed Nov 25, 2019
2 parents 06a1ed9 + 083aa02 commit 6f43fd6
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Showing 21 changed files with 17,147 additions and 16 deletions.
2 changes: 1 addition & 1 deletion Loops/Char_parallelogram.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ def printString(string):
for i in range(0,n):
print(string[i],end=" ")

string = "TEST"
string = "TESTING"
n = len(string)
# print(n)
for i in range(1,n+1):
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3 changes: 2 additions & 1 deletion Loops/for_1.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,4 +5,5 @@ def pyramid():
print(j,end=" ")
print()

pyramid()
if __name__ == '__main__':
pyramid()
50 changes: 50 additions & 0 deletions Projects/rockPaperScissor.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,50 @@
# Program to play rock, paper, scissor
# program by : rakesh kumar
# website : https://cbsetoday.com

# Extra Tips for program
# rock > scissor
# scissor > paper
# paper > rock

import random
games=0
won=0
lost=0
tie=0
choice ="Y"
while choice!='N':
ans = int(input('Enter 1-Rock 2- Paper 3 -Scissor : '))
comp = random.randint(1,3)
if ans == comp:
print("tie !!!!!!!!!!!!!!!!")
tie+=1
if ans==1:
if(comp==3):
print("You won")
won+=1
elif(comp==2):
print("You lost")
lost+=1
if(ans==2):
if(comp==1):
print("You won")
won+=1
elif(comp==3):
print("You lost")
lost+=1
if(ans==3):
if(comp==2):
print("You won")
won+=1
elif(comp==1):
print("You lost")
lost+=1
games+=1
choice= input("Want to play more( Y/N) :").upper()

print('\n\n\n Simple stat of this Game \n')
print(' Total guess :',games)
print("You won Games :",won)
print("You lost Games :",lost)
print("Tie Games :",tie)
2 changes: 2 additions & 0 deletions Projects/snakegame/snakegame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,8 @@
import food as fd
import sys
from . import *
from colors import *


# screen size and game speed
WIDTH = 25
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43 changes: 43 additions & 0 deletions assignment_generator.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,43 @@
import random

unique=[]
count=1
while True:
a = random.randint(0,5)
if a in unique:
continue
else:
unique.append(a)
count = count+1
if(count>=7):
break
# print(unique)

# a,b,c,d,e,f = 2,4,7,9,1,6
operators=['*','/','+','-','**','//']

assignment = "a,b,c,d,e,f = 2,4,7,9,1,6"

print("Assignment-1")

print("Lets assume the values of ",assignment," \n Try to run the following expressions and find out the outputs")

for i in range (1,21):
string ="Q"+str(i)+". = "
counter= 0
while True:
value = chr(96+random.randint(1,6))
# print(value)
if string.find(value) !=-1 :
continue
else:
string += chr(96+random.randint(1,6))
operator = operators[unique[counter]]
counter += 1
if(counter<=5):
string += operator

if(counter>=6):
break

print(string)
106 changes: 106 additions & 0 deletions fileHandling/08849.csv
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@@ -0,0 +1,106 @@
5872408 AMAN VERMA M 301 064 C1 041 043 D1 042 060 C2 043 060 C2 083 073 C1 034 086 C1 A2 A2 B1 PASS
5872409 AMIT RAZDAN M 301 064 C1 041 053 C1 042 077 B1 043 084 A2 083 083 B2 034 087 C1 A2 A2 B1 PASS
5872410 ARPIT AGGARWAL M 301 063 C1 041 073 B1 042 083 A2 043 069 B2 083 080 B2 034 078 D2 A2 A2 B1 PASS
5872411 DHANANJAY SAHAY M 301 072 B2 041 050 C1 042 066 C1 043 065 C1 083 085 B1 034 077 D2 A2 A2 A2 PASS
5872412 HARSH YADAV M 301 078 B1 041 093 A1 042 094 A1 043 095 A1 083 093 A2 034 100 A1 A2 A1 A1 PASS
5872413 HARSHIT CHAWLA M 301 090 A1 041 043 D1 042 067 C1 043 063 C1 083 087 B1 034 087 C1 A2 A1 A1 PASS
5872414 HIMANSHU YADAV M 301 055 C2 034 083 C2 042 050 D2 043 050 D2 048 067 C1 041 010 E A2 A2 B1 PASS
5872415 JAI KATARIA M 301 069 C1 041 066 B2 042 076 B1 043 076 B1 048 092 A1 034 080 D1 B1 B1 A1 PASS
5872416 KASHISH JAIN M 301 073 B2 041 054 C1 042 077 B1 043 068 C1 083 089 B1 034 096 A2 A1 A1 A2 PASS
5872417 KAUSHAL SHARMA M 301 084 A2 041 070 B1 042 082 B1 043 078 B1 083 086 B1 034 092 B1 A2 A1 A1 PASS
5872418 MASHIR NIZAMI M 301 075 B2 041 070 B1 042 079 B1 043 070 B2 083 085 B1 034 083 C2 A2 A1 B1 PASS
5872419 NIKHIL CHAUDHARY M 301 063 C1 041 047 C2 042 067 C1 043 056 D1 083 069 C2 034 089 B2 A2 A2 B1 PASS
5872420 NITIN KUMAR M 301 069 C1 041 064 B2 042 065 C1 043 062 C2 083 084 B2 034 088 C1 A2 A2 A2 PASS
5872421 MRITYUNJAY SINGH M 301 051 D1 041 043 D1 042 062 C2 043 057 D1 048 082 A2 034 091 B2 A2 A2 B1 PASS
5872422 VISHAL YADAV M 301 057 C2 034 078 D2 042 050 D2 043 051 D2 048 063 C2 041 015 E B1 B1 B1 PASS
5872423 AMAN SRIVASTAVA M 301 061 C2 034 082 C2 042 034 D 043 051 C2 049 083 E 041 005 E A2 A2 B1 COMP 042041
5872424 AKANKSHA MITTAL F 301 090 A1 034 099 A1 041 043 D1 042 067 C1 043 060 C2 049 089 B1 A2 A1 B1 PASS
5872425 ARUSHI SIDHU F 301 078 B1 034 100 A1 041 091 A2 042 084 A2 043 085 A2 049 086 B2 A2 A1 A2 PASS
5872426 BHUMIKA SINGH F 301 087 A2 034 100 A1 041 095 A1 042 095 A1 043 095 A1 049 095 A2 A1 A1 A1 PASS
5872427 DIPESH JOSHI M 301 099 A1 034 099 A1 041 095 A1 042 094 A1 043 093 A1 049 092 A2 A1 A1 A1 PASS
5872428 HIMANSHU TIWARI M 301 078 B1 041 070 B1 042 077 B1 043 082 B1 083 087 B1 034 092 B1 A2 A1 A2 PASS
5872429 N VAISHNAVI F 301 079 B1 034 097 A1 041 095 A1 042 087 A2 043 091 A2 049 081 C1 A2 A1 A1 PASS
5872430 PRAGATI JHA F 301 099 A1 034 100 A1 041 070 B1 042 084 A2 043 074 B2 049 091 B1 A2 A1 A1 PASS
5872431 PRAPTI GUPTA F 301 085 A2 034 098 A1 041 058 C1 042 064 C1 043 081 B1 049 092 A2 A1 A1 A1 PASS
5872432 SIMRAN KAPOOR F 301 091 A1 034 100 A1 041 091 A2 042 093 A1 043 095 A1 049 092 A2 A1 A1 A1 PASS
5872433 YAJUR DHAWAN M 301 084 A2 034 092 B1 041 055 C1 042 055 D1 043 063 C1 049 082 C1 A2 A1 B1 PASS
5872434 AKSHITA SINGH F 301 078 B1 041 060 B2 042 070 B2 043 074 B2 044 085 B1 034 096 A2 A2 A1 A2 PASS
5872435 KRITI RUSTAGI F 301 088 A2 041 095 A1 042 095 A1 043 095 A1 044 096 A1 034 095 A2 A1 A1 A1 PASS
5872436 ANANYA SHARMA F 301 080 B1 034 097 A1 042 067 C1 043 083 A2 044 082 B1 048 089 A1 A2 A1 A1 PASS
5872437 CHANAKYA LAHIRI M 301 087 A2 034 099 A1 042 062 C2 043 068 C1 044 083 B1 049 083 C1 A2 A1 A2 PASS
5872438 SIDDHANT KAPOOR M 301 067 C1 034 089 B2 042 052 D2 043 051 D2 044 057 D1 049 088 B1 A2 B1 B1 PASS
5872439 SNEHA TRIPATHI F 301 087 A2 034 100 A1 042 091 A1 043 095 A1 044 095 A1 049 099 A1 A1 A1 A1 PASS
5872440 SAKSHI PANDEY F 301 090 A1 034 100 A1 042 070 B2 043 060 C2 044 071 C1 049 095 A2 A2 A1 B1 PASS
5872441 VAISHNAVI DHYANI F 301 072 B2 034 100 A1 042 055 D1 043 056 D1 044 056 D1 049 090 B1 A2 A1 A1 PASS
5872442 SUSHANT SHARMA M 301 078 B1 042 062 C2 043 062 C2 044 051 D2 049 098 A1 034 097 A1 A2 A1 A2 PASS
5872443 AYUSH CHAUHAN M 301 058 C2 030 054 C1 041 074 B1 054 051 D1 055 059 C1 034 079 D1 A2 A2 B1 PASS
5872444 BHAVYA MEHROTRA F 301 090 A1 030 080 A2 034 090 B2 054 085 A2 055 059 C1 048 076 B1 A2 A1 B1 PASS
5872445 BHASHIKA PRAKASH F 301 076 B2 030 051 C1 041 033 D2 054 064 C1 055 045 D1 034 092 B1 A2 A1 A1 PASS
5872446 HARSH SINGHAL M 301 088 A2 030 078 A2 041 057 C1 054 087 A2 055 091 A1 034 093 B1 A1 A1 A1 PASS
5872447 MOHIT JAIN M 301 094 A1 030 100 A1 041 095 A1 054 095 A1 055 095 A1 034 096 A2 A1 A1 A1 PASS
5872448 MEGHA JAIN F 301 080 B1 030 067 B2 034 092 B1 054 087 A2 055 064 B2 048 091 A1 A2 A1 A1 PASS
5872449 NEELU SINGH F 301 074 B2 030 086 A2 041 065 B2 054 089 A2 055 090 A1 048 099 A1 A2 A1 A1 PASS
5872450 PARUL DUA F 301 094 A1 030 095 A1 041 064 B2 054 095 A1 055 080 A2 034 099 A1 A1 A1 A1 PASS
5872451 PARTH BAJAJ M 301 060 C2 030 033 D2 041 048 C2 054 054 C2 055 058 C1 034 079 D1 A2 A2 B1 PASS
5872452 RADHIKA VERMA F 301 077 B1 030 095 A1 041 085 A2 054 090 A2 055 089 A1 034 097 A1 A2 A1 B1 PASS
5872453 RIYA DHIMAN F 301 070 C1 030 056 C1 041 066 B2 054 069 B2 055 057 C1 034 090 B2 A2 A1 A2 PASS
5872454 STUTI CHOPRA F 301 074 B2 030 058 B2 034 090 B2 054 050 D1 055 063 B2 048 064 C2 A1 A1 A1 PASS
5872455 SACHIN ARORA M 301 050 D1 030 040 D1 041 043 D1 054 063 C1 055 055 C2 034 080 D1 A2 A1 B1 PASS
5872456 SHRUTI MAHAJAN F 301 065 C1 030 095 A1 041 091 A2 054 094 A1 055 090 A1 034 094 A2 A2 A1 B1 PASS
5872457 SHIKHAR GOEL M 301 085 A2 030 095 A1 041 085 A2 054 092 A1 055 094 A1 034 094 A2 A1 A1 A1 PASS
5872458 SARITA KUMARI F 301 078 B1 030 056 C1 041 055 C1 054 069 B2 055 060 B2 049 091 B1 A1 A1 A1 PASS
5872459 AASHI GUPTA F 301 065 C1 030 035 D2 034 083 C2 054 044 D2 055 044 D2 049 079 C2 A2 A2 B1 PASS
5872460 KADAM GOYAL M 301 054 D1 034 085 C2 048 059 D1 054 042 D2 055 042 D2 049 076 C2 A2 A1 B1 PASS
5872461 MEHUL MALHOTRA M 301 050 D1 030 036 D1 048 063 C2 054 051 D1 055 048 D1 034 078 D2 A2 A2 A1 PASS
5872462 PRATYUSH RAI M 301 050 D1 034 090 B2 048 062 C2 054 046 D2 055 025 E 030 018 A1 A1 A1 COMP 055030
5872463 PAWAN KUMAR M 301 041 D2 034 093 B1 048 060 D1 049 079 C2 054 044 D2 055 024 A1 A2 B1 PASS
5872464 PARAS GROVER M 301 033 D2 030 035 D2 034 091 B2 048 053 D2 054 044 D2 055 029 A2 A2 B1 PASS
5872465 RITIK BHARGAVA M 301 063 C1 034 078 D2 048 063 C2 054 068 B2 055 044 D2 030 016 E A2 A1 B1 PASS
5872466 RUDER PRATAP M 301 065 C1 030 036 D1 048 068 C1 054 081 B1 055 050 C2 034 085 C2 A2 B1 A2 PASS
5872467 SHIVAM GOYAL M 301 044 D1 034 090 B2 048 057 D1 049 073 D1 054 049 D1 055 021 A2 A1 B1 PASS
5872469 NIKITA SINGH F 301 085 A2 030 077 B1 054 087 A2 055 087 A2 065 085 B1 034 093 B1 A2 A1 B1 PASS
5872471 SHALINI MAMGAIN F 301 066 C1 030 038 D1 054 044 D2 055 065 B2 065 065 D1 034 094 A2 A2 A1 B1 PASS
5872472 SIMRAN GARG F 301 096 A1 030 097 A1 054 087 A2 055 086 A2 065 090 A2 034 094 A2 A2 A2 A2 PASS
5872473 AMYA MISHRA F 301 094 A1 030 087 A2 034 100 A1 054 083 A2 055 067 B1 049 095 A2 A1 A1 A2 PASS
5872474 AAKASH NEGI M 301 050 D1 034 094 A2 049 077 C2 054 044 D2 055 045 D1 048 050 D2 A2 A1 B1 PASS
5872475 GURUSHA NARANG F 301 043 D1 030 035 D2 034 097 A1 054 044 D2 055 044 D2 049 081 C1 A2 A1 B1 PASS
5872476 LUV KHANNA M 301 047 D1 030 036 D1 034 091 B2 054 049 D1 055 044 D2 048 050 D2 A2 A1 B1 PASS
5872477 SAKSHAM MALHOTRA M 301 040 D2 030 036 D1 034 094 A2 054 049 D1 055 044 D2 048 049 D2 A1 A2 B1 PASS
5872478 URMIKA GROVER F 301 049 D1 030 057 C1 034 095 A2 054 052 D1 055 044 D2 048 067 C1 A2 A1 B1 PASS
5872479 ANSHAL gupta M 301 070 C1 030 058 B2 054 076 B1 055 062 B2 065 079 C1 034 088 C1 A1 A1 A2 PASS
5872480 APURV KANODIA M 301 062 C2 030 075 B1 034 090 B2 054 052 D1 055 068 B1 048 053 D2 A2 A1 B1 PASS
5872482 MANDIRA singh F 301 092 A1 030 088 A2 041 072 B1 054 082 B1 055 082 A2 034 095 A2 A1 A1 A1 PASS
5872483 MAYANK NEGI M 301 080 B1 030 059 B2 041 063 B2 054 071 B2 055 060 B2 034 090 B2 A2 A1 A2 PASS
5872484 MAYANK SHARMA M 301 073 B2 030 069 B1 041 060 B2 054 084 A2 055 063 B2 034 090 B2 A2 A1 A2 PASS
5872485 NIKHIL GULATI M 301 063 C1 030 053 C1 048 055 D1 054 045 D2 055 058 C1 034 088 C1 A2 A2 B1 PASS
5872486 SAGAR GUPTA M 301 056 C2 030 048 C2 048 061 C2 054 052 D1 055 063 B2 034 091 B2 A2 A1 A2 PASS
5872487 SWASTIK CHAUHAN M 301 071 B2 030 067 B2 041 066 B2 054 084 A2 055 063 B2 034 088 C1 A1 A2 A2 PASS
5872488 MOHIT KUMAR M 301 068 C1 034 081 D1 054 043 D2 055 042 D2 065 061 D1 030 022 E A2 A1 B1 PASS
5872489 RICHA YADAV F 301 087 A2 030 092 A1 049 099 A1 054 095 A1 055 093 A1 034 096 A2 A1 A1 A1 PASS
5872490 SAURABH SHUKLA M 301 070 C1 048 057 D1 049 069 D2 054 050 D1 055 043 D2 034 081 D1 A2 B1 B1 PASS
5872491 ATIBHAA SHARMA F 301 086 A2 302 084 A2 028 070 B1 030 070 B1 065 080 C1 034 096 A2 A1 A2 A2 PASS
5872492 ISHITA KOCHARR F 301 077 B1 302 097 A1 028 085 A1 030 070 B1 065 082 B2 034 089 B2 A1 A2 A2 PASS
5872493 KARAN NIRMAN M 301 047 D1 302 043 D2 028 049 C1 034 090 B2 065 059 D2 030 015 E A2 B1 B1 PASS
5872494 PRASHANT JHA M 301 065 C1 302 075 B2 028 046 C2 030 035 D2 065 067 D1 034 094 A2 A2 B1 B1 PASS
5872495 SAHIL MAHAJAN M 301 049 D1 302 043 D2 028 037 D1 034 092 B1 049 088 B1 030 015 E A2 B1 A2 PASS
5872496 SHIVANI CHAMOLI F 301 075 B2 302 072 B2 028 065 B1 030 040 D1 065 069 D1 034 095 A2 B1 A2 B1 PASS
5872497 TUSHAR NIRMAN M 301 081 B1 302 067 C1 028 067 B1 030 044 C2 065 052 D2 034 086 C1 A2 B1 B1 PASS
5872498 TANYA KASHYAP F 301 073 B2 302 064 C2 028 057 B2 030 049 C2 049 099 A1 034 096 A2 A2 A1 B1 PASS
5872499 VIKAS PRAJAPATI M 301 060 C2 302 068 C1 028 050 C1 030 056 C1 049 100 A1 034 100 A1 A1 A1 A1 PASS
5872500 ANJU PANDEY F 301 078 B1 302 069 C1 028 066 B1 034 098 A1 049 072 D1 030 017 E A2 A1 A2 PASS
5872501 KAJAL SINGHAL F 301 071 B2 302 088 A2 028 067 B1 030 043 C2 034 100 A1 049 086 B2 A1 A1 A1 PASS
5872502 MUSKAN SHARMA F 301 068 C1 302 076 B2 028 095 A1 030 070 B1 034 100 A1 049 100 A1 A1 A1 A1 PASS
5872503 SHIVANGI RAI F 301 070 C1 302 080 B1 028 085 A1 030 057 C1 034 096 A2 048 071 B2 A2 A1 A2 PASS
5872504 SHUBHAM SHARMA M 301 071 B2 302 066 C1 028 078 A2 030 069 B1 048 074 B2 049 090 B1 A2 A1 B1 PASS
5872505 HIMANSHU AGGARWAL M 301 033 D2 302 042 D2 034 088 C1 048 048 D2 049 073 D1 A2 A1 B1 PASS
5872506 MANIKA SANDAL F 301 033 D2 302 064 C2 034 082 C2 048 041 D2 049 072 D1 B1 B1 B1 PASS
5872507 PRANAV HASIJA M 301 049 D1 302 063 C2 034 097 A1 048 060 D1 049 074 D1 A2 B1 B1 PASS
5872508 SHALLY BANSAL F 301 050 D1 302 075 B2 028 081 A2 034 090 B2 048 077 B1 049 075 D1 A2 A1 B1 PASS
5872509 DHRUV ARORA M 301 019 E 302 045 D2 034 083 C2 048 050 D2 049 074 D1 A2 A2 B1 COMP 301
5872510 KOMAL SOI F 301 052 D1 302 086 A2 028 038 D1 034 097 A1 049 091 B1 048 061 C2 A1 B1 A2 PASS
5872511 KSHITIZ BAJAJ M 301 056 C2 302 055 D1 034 092 B1 048 060 D1 049 085 B2 A2 A1 B1 PASS
5872512 KSHITIJ GOEL M 301 019 E 302 052 D1 034 088 C1 048 052 D2 049 073 D1 A2 A1 B1 COMP 301
5872513 ANAS KHAN M 302 053 D1 028 037 D1 034 092 B1 048 049 D2 049 070 D2 301 013 E A2 A2 B1 PASS
5872514 HARSH CHOUDHARY M 301 043 D1 302 064 C2 028 038 D1 048 064 C2 049 074 D1 034 081 D1 A1 A2 B1 PASS
5872515 JOGINDER SHAH M 301 019 E 302 056 D1 034 087 C1 048 050 D2 049 071 D2 A2 B1 B1 COMP 301
5872516 KRITIKA GOYAL F 301 052 D1 302 072 B2 028 080 A2 048 084 A2 049 100 A1 034 094 A2 A2 A1 B1 PASS
12 changes: 12 additions & 0 deletions fileHandling/Search_in_file.py
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@@ -0,0 +1,12 @@
# python program to search a word in a text File
# program by : rakesh kumar

word = input('Enter any word that you want to find in text File :')
word1= '"'+word+'"'
word2= "'"+word+"'"
f = open("rakesh.txt","r")
data = f.read().split()
if word in data or word1 in data or word2 in data:
print('Word Found in Text File')
else:
print('Word not found in Text File')
2 changes: 1 addition & 1 deletion fileHandling/csvReader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ def writecell(ws,sub,marks,row):
except:
return

with open('raju.csv','r') as csvfile:
with open('08849.csv','r') as csvfile:
csv_reader = csv.reader(csvfile)
wb = xlwt.Workbook()
ws = wb.add_sheet("result")
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8 changes: 3 additions & 5 deletions fileHandling/delete All File with extension_EXE.py
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Original file line number Diff line number Diff line change
@@ -1,12 +1,10 @@
#-------------------------------------------------------------------------------
# Name: module1
# Purpose:
# Name: Program to delete a particular type of files from selected directory
#
# Author: acer
# Author: rakesh
#
# Created: 05-05-2017
# Copyright: (c) acer 2017
# Licence: <your licence>
# Copyright: MIT
#-------------------------------------------------------------------------------
import os
import sys #module for terminating
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6 changes: 6 additions & 0 deletions gajendra.txt
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Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
This is me rakesh
and this is the second line of code
i am right now working on third line
this is fourth line of demo file

hi Gajendra how r u
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36 changes: 36 additions & 0 deletions hello.spec
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Original file line number Diff line number Diff line change
@@ -0,0 +1,36 @@
# -*- mode: python -*-

block_cipher = None


a = Analysis(['hello.py'],
pathex=['C:\\Users\\as\\Desktop\\python'],
binaries=[],
datas=[],
hiddenimports=[],
hookspath=[],
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher,
noarchive=False)
pyz = PYZ(a.pure, a.zipped_data,
cipher=block_cipher)
exe = EXE(pyz,
a.scripts,
[],
exclude_binaries=True,
name='hello',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
console=True )
coll = COLLECT(exe,
a.binaries,
a.zipfiles,
a.datas,
strip=False,
upx=True,
name='hello')
6 changes: 6 additions & 0 deletions pandas/.ipynb_checkpoints/Untitled-checkpoint.ipynb
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Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 2
}
32 changes: 32 additions & 0 deletions pandas/.ipynb_checkpoints/hello-checkpoint.ipynb
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Original file line number Diff line number Diff line change
@@ -0,0 +1,32 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 2
}
3 changes: 0 additions & 3 deletions pandas/basic.py
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