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Lists & loops

Iterate, transform, and combine sequences with readable loop patterns.

8 matches
Lists & loops easy

Extract Data by Type from a List in Python: Numbers and Strings

Loop through a mixed list to filter out numeric and string values into separate lists.

lists filtering type-checking
Python
def extract_numbers(items):
    """Extract all numeric values from a mixed list."""
    numbers = []
    for item in items:
        if isinstance(item, (int, float)) and not isinstance(item, bool):
            numbers.append(item)
    return numbers


def extract_strings(items):
    """Extract all string values from a…
14 0 Open
Lists & loops easy

How to Convert Data Types in Python Lists

Convert a mixed list of values to integers, floats, or strings based on their content, with graceful fallback for unparseable strings.

type-conversion loops lists
Python
def convert_data(data):
    """Convert a mixed list of values to strings, ints, and floats."""
    result = []
    for item in data:
        if isinstance(item, (int, float)):
            result.append(str(item))
        elif isinstance(item, str):
            try:
                if '.' in item:
                    r…
13 0 Open
Lists & loops easy

How to Filter None Values from a Mixed List in Python

Filter None values from a mixed Python list using a list comprehension with the `is not None` condition.

filter list-comprehension none
Python
mixed_list = [1, None, "hello", None, 3.14, None, [1, 2], None]

filtered_list = [item for item in mixed_list if item is not None]

print(f"Original list: {mixed_list}")
print(f"Filtered list: {filtered_list}")
print(f"Original length: {len(mixed_list)}, Filtered length: {len(filtered_list)}")
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Lists & loops easy

How to Filter a List in Python with a Loop

Filter a list of numbers by a threshold using a for loop and append results to a new list, then print the filtered values and count.

filter for-loop lists
Python
ages = [34, 12, 45, 8, 67, 21, 18, 55, 3]
threshold = 18

adults = []
for age in ages:
    if age >= threshold:
        adults.append(age)

print("All ages:", ages)
print("Adults (18+):", adults)
print("Count of adults:", len(adults))
10 0 Open
Lists & loops easy

How to Get the Union of Two Lists Without Duplicates in Python

Merge two lists and remove duplicate values using a set, then convert back to a list.

set union merge
Python
def union_without_duplicates(list1, list2):
    return list(set(list1 + list2))

if __name__ == "__main__":
    list_a = [1, 2, 3, 4]
    list_b = [3, 4, 5, 6]
    result = union_without_duplicates(list_a, list_b)
    print(f"Union of {list_a} and {list_b}: {result}")
13 0 Open
Lists & loops easy

How to Normalize a List of Numbers in Python

This Python function normalizes a list of numeric values to the range [0, 1] using min-max scaling, returning a new list and leaving the original unchanged.

lists loops normalization
Python
def normalize(data):
    """
    Normalize a list of numeric values to the range [0, 1].
    Returns a new list, leaving the original unchanged.
    """
    if not data:
        return []
    
    min_val = min(data)
    max_val = max(data)
    
    # Handle the edge case where all values are identical
    if min_val …
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Lists & loops easy

How to Safely Convert a List of Strings to Integers in Python

Convert a list of strings to integers while skipping invalid entries and collecting the failed values for inspection.

list conversion int conversion error handling
Python
def safe_to_int(values):
    """Safely convert a list of strings to integers, skipping invalid entries."""
    result = []
    errors = []
    for value in values:
        try:
            result.append(int(value))
        except (ValueError, TypeError):
            errors.append(value)
    return result, errors


if …
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Lists & loops easy

Replace Negative Values in a List with Python

This code defines a function that replaces every negative number in a list with a replacement value, defaulting to zero, using a list comprehension.

list-comprehension data-cleaning list-transformation
Python
def replace_if_negative(values, replacement=0):
    return [replacement if value < 0 else value for value in values]

if __name__ == "__main__":
    numbers = [5, -3, 8, -1, 0, -7, 2]
    result = replace_if_negative(numbers)
    print(f"Original: {numbers}")
    print(f"Replaced: {result}")
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