Appending elements while looping using append() is correct and it's a built-in method within Python lists.
However you can have the same result:
Using list comprehension:
result_t = [k for k in range(1,6)]
print(result_t)
>>> [1, 2, 3, 4, 5]
Using + operator:
result_t = []
for k in range(1,6):
result_t += [k]
print(result_t)
>>> [1, 2, 3, 4, 5]
Using special method __iadd__:
result_t = []
for k in range(1,6):
result_t.__iadd__([k])
print(result_t)
>>> [1, 2, 3, 4, 5]
W3Schools
w3schools.com › python › gloss_python_array_loop.asp
Python Loop Through an Array
Python Examples Python Compiler Python Exercises Python Quiz Python Challenges Python Server Python Syllabus Python Study Plan Python Interview Q&A Python Bootcamp Python Certificate Python Training ... You can use the for in loop to loop through all the elements of an array.
Tutorialspoint
tutorialspoint.com › home › python › python loops for array manipulation
Python Loops for Array Manipulation
February 21, 2009 - The for loop is used when the number of iterations is known. If we use it with an iterable like array, the iteration continues until it has iterated over every element in the array. The below example demonstrates how to iterate over an array using the "for" loop −
Videos
30:13
Basic Python #7 - For Loops and Arrays - YouTube
02:30
Python - how to loop through a list / array - YouTube
07:33
Python 3.10 List / Arrays / Loops - YouTube
09:01
Iterating Through Numpy Arrays - Numpy For Machine Learning 6 - ...
12:28
#15 Python Bootcamp - For Loop and Iterating an Array - YouTube
09:17
For Loops in Python | Python for Beginners - YouTube
How does a 'for loop' work in Python?
A 'for loop' in Python iterates over a sequence (like a list, tuple, or string) or any iterable object, executing a block of code for each element. The loop assigns each item from the sequence to a loop variable in each iteration until all items are processed.
studysmarter.co.uk
studysmarter.co.uk › for loop in python
for Loop in Python: Syntax & Range | StudySmarter
Can a 'for loop' in Python be nested within another 'for loop'?
Yes, a 'for loop' in Python can be nested within another 'for loop'. This allows iterating over multiple sequences or creating multi-dimensional iterations, such as traversing through a matrix or a list of lists.
studysmarter.co.uk
studysmarter.co.uk › for loop in python
for Loop in Python: Syntax & Range | StudySmarter
How can I iterate over a list using a 'for loop' in Python?
You can iterate over a list in Python using a 'for loop' by writing `for item in list:`, where `item` represents each element in the list. This loop will execute a block of code for each element.
studysmarter.co.uk
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for Loop in Python: Syntax & Range | StudySmarter
NumPy
numpy.org › doc › stable › reference › arrays.nditer.html
Iterating over arrays — NumPy v2.4 Manual
See the Indexing, slicing and iterating ... and examples. The remainder of this document presents the nditer object and covers more advanced usage. The iterator object nditer, introduced in NumPy 1.6, provides many flexible ways to visit all the elements of one or more arrays in a systematic fashion. This page introduces some basic ways to use the object for computations on arrays in Python, then concludes with how one can accelerate the inner loop in ...
Spark By {Examples}
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Python Iterate Over an Array - Spark By {Examples}
May 31, 2024 - For example, # Iterate by getting index and value for index, value in np.ndenumerate(arr): print(index, value) Yields below output. ... If you have a multi-dimensional array you need to perform multiple loops, to overcome this problem use nditer function of the NumPy module in Python.
Quora
quora.com › How-do-I-create-an-array-for-loop-in-Python
How to create an array for loop in Python - Quora
Answer (1 of 3): If names is an array, you can loop to process it as such: for name in names: # do something # some other thing If you want to filter one list to create new list, use list comprehension. new names = [val for val in names if val != ...
Top answer 1 of 4
22
Appending elements while looping using append() is correct and it's a built-in method within Python lists.
However you can have the same result:
Using list comprehension:
result_t = [k for k in range(1,6)]
print(result_t)
>>> [1, 2, 3, 4, 5]
Using + operator:
result_t = []
for k in range(1,6):
result_t += [k]
print(result_t)
>>> [1, 2, 3, 4, 5]
Using special method __iadd__:
result_t = []
for k in range(1,6):
result_t.__iadd__([k])
print(result_t)
>>> [1, 2, 3, 4, 5]
2 of 4
1
The range function returns an iterator in modern Python. The list function converts an iterator to a list. So the following will fill your list with the values 1 to 5:
result_t = list(range(1,6)) # yields [1, 2, 3, 4, 5]
Note that in order to include 5 in the list, the range argument has to be 6.
Your last example doesn't parse unless you assign t a value before the loop. Assuming you do that, what you're doing in that case is modifying t each time through the loop, not just producing a linear range. You can get this effect using the map function:
t = 0
b = 2
def f(i):
global t
t = i + b*t
return t
result_b = list(map(f, range(1, 5))) # Yields [1, 4, 11, 26]
The map function applies the f function to each element of the range and returns an iterator, which is converted into a list using the list function. Of course, this version is more verbose than the loop, for this small example, but the technique itself is useful.
Python.org
discuss.python.org › python help
Loop over an an array of array - Python Help - Discussions on Python.org
November 28, 2023 - I have an array of arrays I want to loop over to return two arrays called hills and valleys. When looping through each element, we check the item at index 1 that is element[0] if the value is equal to zero, we create another array and push the ...
freeCodeCamp
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For Loops in Python
February 1, 2020 - For Loop Statements Python utilizes a for loop to iterate over a list of elements. Unlike C or Java, which use the for loop to change a value in steps and access something such as an array using that value. For loops iterate over collection based dat...
Dataquest
dataquest.io › blog › tutorial-advanced-for-loops-python-pandas
Tutorial: Advanced Python for Loops – Dataquest
March 11, 2025 - Now, let's take a look at how for loops can be used with common Python data science packages and their data types. We'll start by looking at how to use for loops with numpy arrays, so let's start by creating some arrays of random numbers.
StudySmarter
studysmarter.co.uk › for loop in python
for Loop in Python: Syntax & Range | StudySmarter
... Use nested for loops to access and manipulate the individual elements within the array, or use the numpy.nditer() method if working with the numpy library. For example: 1) for row in example_array: for item in row: print(item) 2) for item in np.nditer(example_array): print(item)
LearnPython.com
learnpython.com › blog › python-list-loop
7 Ways to Loop Through a List in Python | LearnPython.com
Although we’ve used for num in ... in this example, it’s usually better to use for num in np.nditer(nums): when you’re working with large lists. The np.nditer function returns an iterator that can traverse the NumPy array, which is computationally more efficient than using a simple for loop. Python loops are ...
W3Schools
w3schools.com › python › python_arrays.asp
Python Arrays
Note: This page shows you how to use LISTS as ARRAYS, however, to work with arrays in Python you will have to import a library, like the NumPy library. Arrays are used to store multiple values in one single variable: ... An array is a special variable, which can hold more than one value at a time. If you have a list of items (a list of car names, for example), storing the cars in single variables could look like this: ... However, what if you want to loop through the cars and find a specific one?
CodeSignal
codesignal.com › learn › courses › applying-simple-looping-in-practice-with-python › lessons › iterating-through-an-array-from-middle-to-ends
Iterating Through an Array from Middle to Ends
If the length of the initial array is even, we first take the the element to the left of the center, then the one to the right of the center, then do the alternation as described above. For example, for numbers = [1, 2, 3, 4, 5], the output should be [3, 2, 4, 1, 5].
Sololearn
sololearn.com › en › Discuss › 1684765 › python-array-for-loop
Python array for loop | Sololearn: Learn to code for FREE!
Came across this for loop in a python challenge. I'm still trying to understand exactly what it's doing. Any help? arr = [(5,8,0), (2,4)] sum = [] for x, *y in arr:
GeeksforGeeks
geeksforgeeks.org › python › iterate-over-a-list-in-python
Iterate over a list in Python - GeeksforGeeks
This method provides both the index (i) and the value (val) of each element during the loop. ... a = [1, 3, 5, 7, 9] # Here, i and val reprsents index and value respectively for i, val in enumerate(a): print (i, val)
Published December 27, 2025
Reddit
reddit.com › r/learnpython › why iterate over an array using the index?
r/learnpython on Reddit: Why iterate over an array using the index?
October 12, 2022 -
I'm probably missing something major here, but it seems like in most educational contexts online like Leetcode and courses and such, when the examples iterate over an array they do so like:
array = [1,2,3,4,5]
for i in range(len(array)):
print(array[i])rather than just iterating the thing:
for i in array:
print(i)I'm guessing it's to do with time complexity since indexing arrays is quick, but what's the problem with the latter approach?
Top answer 1 of 25
83
You do it if there is something in your loop that will use an index rather than the elements of the array. For instance, sometimes you want to sample something from another array that is not your loop array A cleaner way to do it is by using enumerate function for i, item in enumerate(array): The index gets assigned to i and whatever element of the array gets assigned to item. This may also be a bad habit from Matlab, people that come from Matlab are more used to looping over indexes.
2 of 25
27
The latter approach is the pythonic way. The indexing way may look more familiar to people coming to python from Java or C, but it's not idiomatic. Additionally, indexing may be fast, but in the latter example there is no indexing, making that code roughly twice as fast as the first example.
Real Python
realpython.com › python-for-loop
Python for Loops: The Pythonic Way – Real Python
2 weeks ago - In this example, color is the loop variable, while the colors list is the target collection. Each time through the loop, color takes on a successive item from colors. In this loop, the body consists of a call to print() that displays the value ...
TutorialsPoint
tutorialspoint.com › python-program-to-iterate-over-an-array
Python Program to Iterate Over an Array
lst = ['P', 'y', 't', 'h', 'o', ... the iterations repeatedly until a given condition is satisfied. In this example, the condition I < len(lest) is executed to iterate the all array elements....
W3Schools
w3schools.com › python › numpy › numpy_array_iterating.asp
NumPy Array Iterating
As we deal with multi-dimensional arrays in numpy, we can do this using basic for loop of python.
Studytonight
studytonight.com › python › looping-in-python
Python Loops - for Loop and while Loop | Studytonight
In this section, we will see how loops work in python. Looping is simply a functionality that is commonly used in programming for achieving repetitive tasks. It can vary from iterating each element of an array or strings, to modifying a whole database.