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Dictionaries & sets

Key–value maps, uniqueness, counting, grouping, and fast lookups.

8 matches
Dictionaries & sets easy

Convert Lists and Dictionaries to Sets in Python

Convert lists of pairs into dictionaries and lists or dictionaries into sets using simple helper functions.

dict set conversion
Python
def convert_to_dict(data):
    """Convert list of tuples or lists into a dictionary."""
    return dict(data)


def convert_to_set(data):
    """Convert list or dictionary into a set of its keys/values."""
    if isinstance(data, dict):
        return set(data.keys())
    return set(data)


def convert_collection(data…
14 0 Open
Dictionaries & sets easy

How to Count Word Frequencies in Python with Counter and Sets

This code processes a text string by lowercasing, splitting into words, counting frequencies with Counter, and extracting unique and sorted word lists using sets.

counter sets text-processing
Python
from collections import Counter

def process_text(text):
    words = text.lower().split()
    word_counts = Counter(words)
    unique_words = set(words)
    sorted_words = sorted(unique_words)
    
    return {
        "total_words": len(words),
        "unique_words": len(unique_words),
        "word_frequencies": di…
12 0 Open
Dictionaries & sets easy

How to Create a Dict from Two Parallel Lists in Python (zip)

Build a dictionary by pairing elements from two parallel lists using Python's built-in zip function and dict constructor.

dictionary zip lists
Python
keys = ["name", "age", "city"]
values = ["Alice", 30, "New York"]

result = dict(zip(keys, values))
print(result)
12 0 Open
Dictionaries & sets easy

How to Group a List of Dictionaries by Key in Python

Group a list of dictionaries by a specified key field using dict.setdefault to build a dictionary of lists.

dictionaries grouping setdefault
Python
def group_by_key(records, key):
    grouped = {}
    for record in records:
        grouped.setdefault(record[key], []).append(record)
    return grouped

if __name__ == "__main__":
    data = [
        {"name": "Alice", "dept": "engineering"},
        {"name": "Bob", "dept": "sales"},
        {"name": "Carol", "dept"…
14 0 Open
Dictionaries & sets easy

How to Parse Data Into Dictionaries and Sets in Python

Parses raw student strings into a dictionary of lists and finds unique courses using a set.

dictionary set defaultdict
Python
from collections import defaultdict

def parse_students(raw_data):
    """Parse raw student strings into a dictionary of lists."""
    parsed = defaultdict(list)
    for entry in raw_data:
        name, _, course = entry.partition(":")
        parsed[course.strip()].append(name.strip())
    return dict(parsed)

def fi…
12 0 Open
Dictionaries & sets easy

How to Parse Query String to Dict with Duplicate Keys in Python

Convert a URL query string into a Python dictionary, merging duplicate keys into lists while keeping single values as scalars.

query-string dict url-parsing
Python
from urllib.parse import parse_qs


def parse_query_to_dict(query_string):
    parsed = parse_qs(query_string, keep_blank_values=True)
    return {key: values if len(values) > 1 else values[0] for key, values in parsed.items()}


if __name__ == "__main__":
    query = "name=John&name=Jane&age=30&city=&city=Paris&empty…
13 0 Open
Dictionaries & sets easy

How to Use defaultdict(list) to Group Words by First Letter in Python

This code groups a list of words by their first letter using a defaultdict with a list factory, then prints each group sorted by initial.

defaultdict grouping dictionaries
Python
from collections import defaultdict

def group_by_initial(words):
    groups = defaultdict(list)
    for word in words:
        groups[word[0].upper()].append(word)
    return dict(groups)

if __name__ == "__main__":
    words = ["apple", "banana", "apricot", "blueberry", "cherry"]
    result = group_by_initial(words)…
13 0 Open
Dictionaries & sets easy

How to convert string values to int or float in Python dicts

Recursively convert string values in nested dicts and lists to ints or floats when possible, leaving other strings untouched.

dict type-conversion recursion
Python
def coerce_str_values(data):
    """Recursively convert string values that look like ints or floats."""
    if isinstance(data, dict):
        return {key: coerce_str_values(val) for key, val in data.items()}
    elif isinstance(data, list):
        return [coerce_str_values(item) for item in data]
    elif isinstance…
12 0 Open

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