# Cell 1 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 2 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 3 — Topic: Pandas
import pandas as pd
df = pd.DataFrame({'A':[1,2],'B':[3,4]})
print(df)

# Cell 4 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 5 — Topic: JSON & CSV
import csv
with open('file.csv', 'w', newline='') as f:
 csv.writer(f).writerow(['a','b','c'])

# Cell 6 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 7 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 8 — Topic: Dictionaries & Sets
d = {'name': 'Fahd', 'age': 20}
print(d.get('name'))

# Cell 9 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 10 — Topic: Matplotlib & Seaborn
import matplotlib.pyplot as plt
plt.plot([1,2],[3,4])
plt.show()

# Cell 11 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 12 — Topic: Loops
for i in range(10): print(i*i)

# Cell 13 — Topic: OOP
class Student:
    def __init__(self, name): self.name = name
s = Student('Fahd')
print(s.name)

# Cell 14 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 15 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 16 — Topic: Dictionaries & Sets
d = {'name': 'Fahd', 'age': 20}
print(d.get('name'))

# Cell 17 — Topic: Basic ML
from sklearn.linear_model import LinearRegression
model = LinearRegression()
print(model)

# Cell 18 — Topic: JSON & CSV
import csv
with open('file.csv', 'w', newline='') as f:
 csv.writer(f).writerow(['a','b','c'])

# Cell 19 — Topic: Basics
name = 'Fahd'
print(f'Hello, {name}')

# Cell 20 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 21 — Topic: OOP
class Student:
    def __init__(self, name): self.name = name
s = Student('Fahd')
print(s.name)

# Cell 22 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 23 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 24 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 25 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 26 — Topic: Basics
name = 'Fahd'
print(f'Hello, {name}')

# Cell 27 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 28 — Topic: NumPy
import numpy as np
a = np.array([1, 2, 3])
print(a + 5)

# Cell 29 — Topic: Functions
def square(x): return x*x
print(square(5))

# Cell 30 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 31 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 32 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 33 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 34 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 35 — Topic: Pandas
import pandas as pd
df = pd.read_csv('file.csv')
print(df.head())

# Cell 36 — Topic: Matplotlib & Seaborn
import matplotlib.pyplot as plt
plt.plot([1,2],[3,4])
plt.show()

# Cell 37 — Topic: Lists & Tuples
lst = [1, 2, 3]
lst.append(4)
print(lst)

# Cell 38 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 39 — Topic: Pandas
import pandas as pd
df = pd.DataFrame({'A':[1,2],'B':[3,4]})
print(df)

# Cell 40 — Topic: Functions
def greet(name='User'):
    print(f'Hi, {name}')
greet()

# Cell 41 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 42 — Topic: Lists & Tuples
t = (1, 2, 3)
print(t[0])

# Cell 43 — Topic: Loops
for i in range(10): print(i*i)

# Cell 44 — Topic: Loops
for i in range(10): print(i*i)

# Cell 45 — Topic: Dictionaries & Sets
d = {'name': 'Fahd', 'age': 20}
print(d.get('name'))

# Cell 46 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 47 — Topic: Matplotlib & Seaborn
import seaborn as sns
import pandas as pd
sns.set()
sns.histplot(pd.Series([1,2,2,3]));

# Cell 48 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 49 — Topic: OOP
class Student:
    def __init__(self, name): self.name = name
s = Student('Fahd')
print(s.name)

# Cell 50 — Topic: JSON & CSV
import json
data = {'a': 1}
print(json.dumps(data))

# Cell 51 — Topic: Matplotlib & Seaborn
import matplotlib.pyplot as plt
plt.plot([1,2],[3,4])
plt.show()

# Cell 52 — Topic: Pandas
import pandas as pd
df = pd.DataFrame({'A':[1,2],'B':[3,4]})
print(df)

# Cell 53 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 54 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 55 — Topic: Mini Projects
# Palindrome check
def is_pal(s): return s == s[::-1]
print(is_pal('madam'))

# Cell 56 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 57 — Topic: Dictionaries & Sets
d = {'name': 'Fahd', 'age': 20}
print(d.get('name'))

# Cell 58 — Topic: Lists & Tuples
t = (1, 2, 3)
print(t[0])

# Cell 59 — Topic: Mini Projects
# Calculator
def calc(a,b,op): return eval(f'{a}{op}{b}')
print(calc(5,2,'+'))

# Cell 60 — Topic: Lists & Tuples
lst = [1, 2, 3]
lst.append(4)
print(lst)

# Cell 61 — Topic: Dictionaries & Sets
s = set([1, 2, 3, 2])
print(s)

# Cell 62 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 63 — Topic: File I/O
with open('test.txt', 'r') as f:
    print(f.read())

# Cell 64 — Topic: Basic ML
from sklearn.linear_model import LinearRegression
model = LinearRegression()
print(model)

# Cell 65 — Topic: Pandas
import pandas as pd
df = pd.read_csv('file.csv')
print(df.head())

# Cell 66 — Topic: Basics
name = 'Fahd'
print(f'Hello, {name}')

# Cell 67 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 68 — Topic: JSON & CSV
import csv
with open('file.csv', 'w', newline='') as f:
 csv.writer(f).writerow(['a','b','c'])

# Cell 69 — Topic: Pandas
import pandas as pd
df = pd.read_csv('file.csv')
print(df.head())

# Cell 70 — Topic: NumPy
import numpy as np
print(np.linspace(0, 1, 5))

# Cell 71 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 72 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 73 — Topic: Basic ML
from sklearn.linear_model import LinearRegression
model = LinearRegression()
print(model)

# Cell 74 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 75 — Topic: Dictionaries & Sets
s = set([1, 2, 3, 2])
print(s)

# Cell 76 — Topic: File I/O
with open('test.txt', 'w') as f:
    f.write('Hello World')

# Cell 77 — Topic: Lists & Tuples
lst = [1, 2, 3]
lst.append(4)
print(lst)

# Cell 78 — Topic: Lists & Tuples
lst = [1, 2, 3]
lst.append(4)
print(lst)

# Cell 79 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 80 — Topic: Basics
x = 10
y = 20
print(x + y)

# Cell 81 — Topic: Basic ML
from sklearn.linear_model import LinearRegression
model = LinearRegression()
print(model)

# Cell 82 — Topic: Mini Projects
# Palindrome check
def is_pal(s): return s == s[::-1]
print(is_pal('madam'))

# Cell 83 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 84 — Topic: OOP
class Student:
    def __init__(self, name): self.name = name
s = Student('Fahd')
print(s.name)

# Cell 85 — Topic: Matplotlib & Seaborn
import seaborn as sns
import pandas as pd
sns.set()
sns.histplot(pd.Series([1,2,2,3]));

# Cell 86 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 87 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 88 — Topic: JSON & CSV
import json
data = {'a': 1}
print(json.dumps(data))

# Cell 89 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 90 — Topic: File I/O
with open('test.txt', 'r') as f:
    print(f.read())

# Cell 91 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 92 — Topic: Basic ML
from sklearn.linear_model import LinearRegression
model = LinearRegression()
print(model)

# Cell 93 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 94 — Topic: Dictionaries & Sets
s = set([1, 2, 3, 2])
print(s)

# Cell 95 — Topic: JSON & CSV
import csv
with open('file.csv', 'w', newline='') as f:
 csv.writer(f).writerow(['a','b','c'])

# Cell 96 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 97 — Topic: Basics
name = 'Fahd'
print(f'Hello, {name}')

# Cell 98 — Topic: Matplotlib & Seaborn
import seaborn as sns
import pandas as pd
sns.set()
sns.histplot(pd.Series([1,2,2,3]));

# Cell 99 — Topic: NumPy
import numpy as np
print(np.linspace(0, 1, 5))

# Cell 100 — Topic: Dictionaries & Sets
s = set([1, 2, 3, 2])
print(s)

# Cell 101 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 102 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 103 — Topic: File I/O
with open('test.txt', 'r') as f:
    print(f.read())

# Cell 104 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 105 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 106 — Topic: NumPy
import numpy as np
a = np.array([1, 2, 3])
print(a + 5)

# Cell 107 — Topic: Basics
x = 10
y = 20
print(x + y)

# Cell 108 — Topic: Matplotlib & Seaborn
import matplotlib.pyplot as plt
plt.plot([1,2],[3,4])
plt.show()

# Cell 109 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 110 — Topic: JSON & CSV
import json
data = {'a': 1}
print(json.dumps(data))

# Cell 111 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 112 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 113 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 114 — Topic: Basic ML
from sklearn.linear_model import LinearRegression
model = LinearRegression()
print(model)

# Cell 115 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 116 — Topic: Pandas
import pandas as pd
df = pd.DataFrame({'A':[1,2],'B':[3,4]})
print(df)

# Cell 117 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 118 — Topic: Basics
x = 10
y = 20
print(x + y)

# Cell 119 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 120 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 121 — Topic: Matplotlib & Seaborn
import seaborn as sns
import pandas as pd
sns.set()
sns.histplot(pd.Series([1,2,2,3]));

# Cell 122 — Topic: Functions
def greet(name='User'):
    print(f'Hi, {name}')
greet()

# Cell 123 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 124 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 125 — Topic: Matplotlib & Seaborn
import seaborn as sns
import pandas as pd
sns.set()
sns.histplot(pd.Series([1,2,2,3]));

# Cell 126 — Topic: Loops
while True:
    print('Break')
    break

# Cell 127 — Topic: NumPy
import numpy as np
a = np.array([1, 2, 3])
print(a + 5)

# Cell 128 — Topic: Basic ML
from sklearn.linear_model import LinearRegression
model = LinearRegression()
print(model)

# Cell 129 — Topic: OOP
class Student:
    def __init__(self, name): self.name = name
s = Student('Fahd')
print(s.name)

# Cell 130 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 131 — Topic: Functions
def square(x): return x*x
print(square(5))

# Cell 132 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 133 — Topic: Matplotlib & Seaborn
import seaborn as sns
import pandas as pd
sns.set()
sns.histplot(pd.Series([1,2,2,3]));

# Cell 134 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 135 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 136 — Topic: OOP
class Student:
    def __init__(self, name): self.name = name
s = Student('Fahd')
print(s.name)

# Cell 137 — Topic: Basics
name = 'Fahd'
print(f'Hello, {name}')

# Cell 138 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 139 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 140 — Topic: OOP
class Student:
    def __init__(self, name): self.name = name
s = Student('Fahd')
print(s.name)

# Cell 141 — Topic: Mini Projects
# Palindrome check
def is_pal(s): return s == s[::-1]
print(is_pal('madam'))

# Cell 142 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 143 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 144 — Topic: JSON & CSV
import json
data = {'a': 1}
print(json.dumps(data))

# Cell 145 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 146 — Topic: NumPy
import numpy as np
a = np.array([1, 2, 3])
print(a + 5)

# Cell 147 — Topic: File I/O
with open('test.txt', 'r') as f:
    print(f.read())

# Cell 148 — Topic: Mini Projects
# Palindrome check
def is_pal(s): return s == s[::-1]
print(is_pal('madam'))

# Cell 149 — Topic: Mini Projects
# Calculator
def calc(a,b,op): return eval(f'{a}{op}{b}')
print(calc(5,2,'+'))

# Cell 150 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 151 — Topic: Functions
def square(x): return x*x
print(square(5))

# Cell 152 — Topic: Mini Projects
# Palindrome check
def is_pal(s): return s == s[::-1]
print(is_pal('madam'))

# Cell 153 — Topic: Basics
x = 10
y = 20
print(x + y)

# Cell 154 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 155 — Topic: Pandas
import pandas as pd
df = pd.read_csv('file.csv')
print(df.head())

# Cell 156 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 157 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 158 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 159 — Topic: Functions
def greet(name='User'):
    print(f'Hi, {name}')
greet()

# Cell 160 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 161 — Topic: Dictionaries & Sets
d = {'name': 'Fahd', 'age': 20}
print(d.get('name'))

# Cell 162 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 163 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 164 — Topic: NumPy
import numpy as np
a = np.array([1, 2, 3])
print(a + 5)

# Cell 165 — Topic: Functions
def square(x): return x*x
print(square(5))

# Cell 166 — Topic: File I/O
with open('test.txt', 'r') as f:
    print(f.read())

# Cell 167 — Topic: Basics
name = 'Fahd'
print(f'Hello, {name}')

# Cell 168 — Topic: Dictionaries & Sets
d = {'name': 'Fahd', 'age': 20}
print(d.get('name'))

# Cell 169 — Topic: OOP
class Student:
    def __init__(self, name): self.name = name
s = Student('Fahd')
print(s.name)

# Cell 170 — Topic: Lists & Tuples
lst = [1, 2, 3]
lst.append(4)
print(lst)

# Cell 171 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 172 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 173 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 174 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 175 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 176 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 177 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 178 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 179 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 180 — Topic: Basic ML
from sklearn.linear_model import LinearRegression
model = LinearRegression()
print(model)

# Cell 181 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 182 — Topic: JSON & CSV
import csv
with open('file.csv', 'w', newline='') as f:
 csv.writer(f).writerow(['a','b','c'])

# Cell 183 — Topic: Basics
name = 'Fahd'
print(f'Hello, {name}')

# Cell 184 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 185 — Topic: NumPy
import numpy as np
a = np.array([1, 2, 3])
print(a + 5)

# Cell 186 — Topic: File I/O
with open('test.txt', 'r') as f:
    print(f.read())

# Cell 187 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 188 — Topic: Pandas
import pandas as pd
df = pd.read_csv('file.csv')
print(df.head())

# Cell 189 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 190 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 191 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 192 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 193 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 194 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 195 — Topic: Mini Projects
# Palindrome check
def is_pal(s): return s == s[::-1]
print(is_pal('madam'))

# Cell 196 — Topic: Matplotlib & Seaborn
import seaborn as sns
import pandas as pd
sns.set()
sns.histplot(pd.Series([1,2,2,3]));

# Cell 197 — Topic: NumPy
import numpy as np
print(np.linspace(0, 1, 5))

# Cell 198 — Topic: Pandas
import pandas as pd
df = pd.read_csv('file.csv')
print(df.head())

# Cell 199 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 200 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 201 — Topic: NumPy
import numpy as np
print(np.linspace(0, 1, 5))

# Cell 202 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 203 — Topic: File I/O
with open('test.txt', 'r') as f:
    print(f.read())

# Cell 204 — Topic: Pandas
import pandas as pd
df = pd.read_csv('file.csv')
print(df.head())

# Cell 205 — Topic: File I/O
with open('test.txt', 'r') as f:
    print(f.read())

# Cell 206 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 207 — Topic: Matplotlib & Seaborn
import seaborn as sns
import pandas as pd
sns.set()
sns.histplot(pd.Series([1,2,2,3]));

# Cell 208 — Topic: Basics
x = 10
y = 20
print(x + y)

# Cell 209 — Topic: Matplotlib & Seaborn
import matplotlib.pyplot as plt
plt.plot([1,2],[3,4])
plt.show()

# Cell 210 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 211 — Topic: NumPy
import numpy as np
a = np.array([1, 2, 3])
print(a + 5)

# Cell 212 — Topic: Functions
def greet(name='User'):
    print(f'Hi, {name}')
greet()

# Cell 213 — Topic: Functions
def greet(name='User'):
    print(f'Hi, {name}')
greet()

# Cell 214 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 215 — Topic: Basic ML
from sklearn.linear_model import LinearRegression
model = LinearRegression()
print(model)

# Cell 216 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 217 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 218 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 219 — Topic: Loops
while True:
    print('Break')
    break

# Cell 220 — Topic: Loops
while True:
    print('Break')
    break

# Cell 221 — Topic: Matplotlib & Seaborn
import seaborn as sns
import pandas as pd
sns.set()
sns.histplot(pd.Series([1,2,2,3]));

# Cell 222 — Topic: Matplotlib & Seaborn
import matplotlib.pyplot as plt
plt.plot([1,2],[3,4])
plt.show()

# Cell 223 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 224 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 225 — Topic: JSON & CSV
import json
data = {'a': 1}
print(json.dumps(data))

# Cell 226 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 227 — Topic: Dictionaries & Sets
d = {'name': 'Fahd', 'age': 20}
print(d.get('name'))

# Cell 228 — Topic: JSON & CSV
import csv
with open('file.csv', 'w', newline='') as f:
 csv.writer(f).writerow(['a','b','c'])

# Cell 229 — Topic: Loops
for i in range(10): print(i*i)

# Cell 230 — Topic: Basics
x = 10
y = 20
print(x + y)

# Cell 231 — Topic: JSON & CSV
import csv
with open('file.csv', 'w', newline='') as f:
 csv.writer(f).writerow(['a','b','c'])

# Cell 232 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 233 — Topic: Functions
def greet(name='User'):
    print(f'Hi, {name}')
greet()

# Cell 234 — Topic: Basics
x = 10
y = 20
print(x + y)

# Cell 235 — Topic: Lists & Tuples
lst = [1, 2, 3]
lst.append(4)
print(lst)

# Cell 236 — Topic: Functions
def square(x): return x*x
print(square(5))

# Cell 237 — Topic: Matplotlib & Seaborn
import matplotlib.pyplot as plt
plt.plot([1,2],[3,4])
plt.show()

# Cell 238 — Topic: NumPy
import numpy as np
print(np.linspace(0, 1, 5))

# Cell 239 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 240 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 241 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 242 — Topic: Mini Projects
# Calculator
def calc(a,b,op): return eval(f'{a}{op}{b}')
print(calc(5,2,'+'))

# Cell 243 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 244 — Topic: Dictionaries & Sets
s = set([1, 2, 3, 2])
print(s)

# Cell 245 — Topic: Recursion
def fact(n): return 1 if n==0 else n*fact(n-1)
print(fact(5))

# Cell 246 — Topic: Mini Projects
# Calculator
def calc(a,b,op): return eval(f'{a}{op}{b}')
print(calc(5,2,'+'))

# Cell 247 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 248 — Topic: Matplotlib & Seaborn
import seaborn as sns
import pandas as pd
sns.set()
sns.histplot(pd.Series([1,2,2,3]));

# Cell 249 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 250 — Topic: Matplotlib & Seaborn
import matplotlib.pyplot as plt
plt.plot([1,2],[3,4])
plt.show()

# Cell 251 — Topic: Matplotlib & Seaborn
import matplotlib.pyplot as plt
plt.plot([1,2],[3,4])
plt.show()

# Cell 252 — Topic: Lists & Tuples
lst = [1, 2, 3]
lst.append(4)
print(lst)

# Cell 253 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 254 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 255 — Topic: JSON & CSV
import json
data = {'a': 1}
print(json.dumps(data))

# Cell 256 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 257 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 258 — Topic: Basics
name = 'Fahd'
print(f'Hello, {name}')

# Cell 259 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 260 — Topic: Basics
x = 10
y = 20
print(x + y)

# Cell 261 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 262 — Topic: Pandas
import pandas as pd
df = pd.DataFrame({'A':[1,2],'B':[3,4]})
print(df)

# Cell 263 — Topic: NumPy
import numpy as np
a = np.array([1, 2, 3])
print(a + 5)

# Cell 264 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 265 — Topic: Data Cleaning
import pandas as pd
df = pd.DataFrame({'A':[1,None,3]})
df = df.fillna(0)
print(df)

# Cell 266 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 267 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 268 — Topic: Regex
import re
text = 'email: test@example.com'
print(re.findall(r'\S+@\S+', text))

# Cell 269 — Topic: JSON & CSV
import csv
with open('file.csv', 'w', newline='') as f:
 csv.writer(f).writerow(['a','b','c'])

# Cell 270 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 271 — Topic: Lists & Tuples
t = (1, 2, 3)
print(t[0])

# Cell 272 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)

# Cell 273 — Topic: Loops
for i in range(10): print(i*i)

# Cell 274 — Topic: Lists & Tuples
t = (1, 2, 3)
print(t[0])

# Cell 275 — Topic: JSON & CSV
import json
data = {'a': 1}
print(json.dumps(data))

# Cell 276 — Topic: Dictionaries & Sets
d = {'name': 'Fahd', 'age': 20}
print(d.get('name'))

# Cell 277 — Topic: JSON & CSV
import csv
with open('file.csv', 'w', newline='') as f:
 csv.writer(f).writerow(['a','b','c'])

# Cell 278 — Topic: NumPy
import numpy as np
print(np.linspace(0, 1, 5))

# Cell 279 — Topic: NumPy
import numpy as np
a = np.array([1, 2, 3])
print(a + 5)

# Cell 280 — Topic: Web Scraping
import requests
from bs4 import BeautifulSoup
r = requests.get('https://example.com')
soup = BeautifulSoup(r.text, 'html.parser')
print(soup.title.text)

# Cell 281 — Topic: Functions
def square(x): return x*x
print(square(5))

# Cell 282 — Topic: Pandas
import pandas as pd
df = pd.DataFrame({'A':[1,2],'B':[3,4]})
print(df)

# Cell 283 — Topic: Functions
def greet(name='User'):
    print(f'Hi, {name}')
greet()

# Cell 284 — Topic: CLI Tools
import sys
print(f'Arguments: {sys.argv}')

# Cell 285 — Topic: Decorators
def log(func):
 def wrapper():
  print('Call')
  func()
 return wrapper
@log
def say(): print('Hi')
say()

# Cell 286 — Topic: File I/O
with open('test.txt', 'w') as f:
    f.write('Hello World')

# Cell 287 — Topic: Sorting Algorithms
# Bubble sort
def bubble(arr):
 for i in range(len(arr)):
  for j in range(0, len(arr)-i-1):
   if arr[j]>arr[j+1]: arr[j],arr[j+1]=arr[j+1],arr[j]
a=[5,3,8]
bubble(a)
print(a)