Python implementation of a default List using linked list
Project description
linkedpy
linkedpy is a simple linked list implementation in Python, providing a custom List class with various methods for managing linked list operations.
Features
-
Basic Operations:
append(value): Add a value to the end of the list.insert(index, value): Insert a value before the specified index.remove(value): Remove the first occurrence of a value.pop(index=None): Remove and return an item at a specified index (default is the last item).clear(): Remove all items from the list.
-
Access and Indexing:
__getitem__(index): Get the item at a specific index.__setitem__(index, value): Set the item at a specific index.__delitem__(index): Delete the item at a specific index.
-
Information and Iteration:
count(): Return the number of items in the list.__len__(): Return the number of items in the list.to_list(): Return the list as a normal Python list.__repr__(): Return a string representation of the list.__iter__(): Iterate over values in the list.
-
Concatenation:
__add__(other): Concatenate two lists using the+operator.__iadd__(other): In-place concatenation using the+=operator.
-
Statistical Operations:
min(): Return the minimum value in the list.max(): Return the maximum value in the list.
-
Sorting:
sort(): Sort The listsorted(): Return Sorted copy List
Usage
from linkedpy import List
# Create a new list
my_list = List(1, 2, 3)
# Append values
my_list.append(4)
my_list.append(5)
# Access elements
print(my_list[2]) # Output: 3
# Remove element
my_list.remove(2)
# Iterate over the list
for item in my_list:
print(item)
# Concatenate lists
new_list = my_list + List(6, 7, 8)
# In-place concatenation
my_list += List(9, 10)
# Sorting
my_list.sort()
# Optional reverse argument
my_list.sorted(reverse=True)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file linkedpy-0.1.0.tar.gz.
File metadata
- Download URL: linkedpy-0.1.0.tar.gz
- Upload date:
- Size: 3.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0301b958bb735637998d6f6cc37532f9ce27c70d8810ab5dc5beac17e07f2643
|
|
| MD5 |
cad652dc8fa1e3a7cd14cc17551923ac
|
|
| BLAKE2b-256 |
71e437be06131385901a3932eeec4ed945ef9b62e61f017cc41bedae47ebaee0
|
File details
Details for the file linkedpy-0.1.0-py3-none-any.whl.
File metadata
- Download URL: linkedpy-0.1.0-py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f41ef4d19f5d78bff034b62aa45b85c8533b31610b0c94437aeed372f07ec2aa
|
|
| MD5 |
0935b9b28dc5c910be7216f88b40f432
|
|
| BLAKE2b-256 |
364f0ea987df7e7214fa7d561a44c233bd4f7e5c7643d8b8c0bfda821bcfd40e
|