loops

for iterator in iterable sequence

for item in my_list:

    print(item)

range

for i in range(int_val):

    print(i)

range(int_val)

string

for char in username:

    print(char) #will print the username letters one after the other in a new row

dictionary

for key, value in my_dictionary.items():

    print(key, value)

numpy array

for value in np.nditer(my_np_array):

    print(value)

data frame

my_df = pd.read_csv("my_data.csv", index_col = 0)

for value in my_df:

    print(value) #gives you the column names of the data frame

for label, observation in my_df.iterrows():

    print(label)

    print(observation) #this is an entire series object, and memory resource demanding

    print(observation["header"]) #show the values the column "header"

    my_df.loc[label, "new_name"] = o["name"].upper() #adds column with upper case value

apply

my_df = pd.read_csv("my_data.csv", index_col = 0)

my_df["length"] = my_df["name"].apply(len) #gives length for name in column "length"

nested if in for

for p in prices:

    if p > 10:

      print("more than 10")

    elif p < 5:

      print("less than 5")

    else:

      print("5 to 10")

while i < 6:

  print(i)

  i += 1

break

while i < 6:

  print(i)

  if i == 3:

    break

  i += 1