Example 1: how to make a python list
listName = [1,2,3,4]
Example 2: creating a list in python
myList = [value,value,value] #note that you can use any amount of value
#you don not have to use value
Example 3: python list
#Creating lists
my_list = ['foo', 4, 5, 'bar', 0.4]
my_nested_list = ['foobar', ['baz', 'qux'], [0]]
#Accessing list values
my_list[2] # 5
my_list[-1] # 0.4
my_list[:2] # ['foo', 4, 5]
my_nested_list[2] # ['baz', 'quz']
my_nested_list[-1] # [0]
my_nested_list[1][1] # 'qux'
#Modifying lists
my_list.append(x) # append x to end of list
my_list.extend(iterable) # append all elements of iterable to list
my_list.insert(i, x) # insert x at index i
my_list.remove(x) # remove first occurance of x from list
my_list.pop([i]) # pop element at index i (defaults to end of list)
my_list.clear() # delete all elements from the list
my_list.index(x[, start[, end]]) # return index of element x
my_list.count(x) # return number of occurances of x in list
my_list.reverse() # reverse elements of list in-place (no return)
my_list.sort(key=None, reverse=False) # sort list in-place
my_list.copy() # return a shallow copy of the list
Example 4: list in python
thislist = ["apple", "banana", "cherry"]
print(thislist[1])
Example 5: how to make a list python
list = ['list element', 'list element']
# or t obe more effecient:
import numpy #if you do not have numpy, do "pip install numpy"
numpyarray = numpy.array(['array element', 'array element'])
#a numpy array is faster than a standard list
Example 6: python list
#Creating lists
my_list = [1, "Hello", 3.4, 0, "World"]
my_nested_list = [['Hello', 'World'],[47,39]]
#Accessing lists
my_list[1] # Hello
my_list[-2] # 0
my_list[:3] # [1, "Hello", 3.4]
my_nested_list[1] #[47,39]
my_nested_list[0][1] # World