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672d72af
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
beginner
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
f120dc5a
# Data Processing def process_data(items): return [x.strip().lower() for x in items if x]
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
intermediate
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
e704ba2e
def group_by_key(items, key): result = {} for item in items: k = item.get(key) if k not in result: result[k] = [] result[k].append(item) return result
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
advanced
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
e0c0ae96
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
beginner
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
cec1ed2a
def count_chars(text): return {c: text.count(c) for c in set(text)}
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
intermediate
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]
fd085cf8
# Lists & Dicts def flatten(nested): return [item for sublist in nested for item in sublist]
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
advanced
[ "list", "flattening" ]
3.9+
[ "python", "function", "example" ]
8861cbc7
def merge_dicts(*dicts): return {k:v for d in dicts for k,v in d.items()}
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
beginner
[ "dict", "merging" ]
3.9+
[ "python", "function", "example" ]
561229b6
# Error Handling def safe_int(value, default=0): try: return int(value) except: return default
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
intermediate
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
159d48b2
# Algorithms def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
advanced
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
eb85dc8c
def is_prime(n): return n > 1 and all(n % i for i in range(2, int(n**0.5)+1))
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
beginner
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
2cbe8f06
# OOP class BaseModel: def __init__(self, **kwargs): self.__dict__.update(kwargs) def to_dict(self): return self.__dict__
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
intermediate
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
045b89dc
# Decorators def log_calls(func): def wrapper(*args, **kwargs): print(f"Calling {func.__name__}") return func(*args, **kwargs) return wrapper
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
advanced
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
1d2a7ac5
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
beginner
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
90e438d3
# Regular Expressions def extract_emails(text): import re return re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
intermediate
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
3c8afc57
# JSON Operations def load_json(path): with open(path) as f: return json.load(f)
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
advanced
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]
75f4d057
def save_json(path, data): with open(path, 'w') as f: json.dump(data, f)
Fibonacci recursive. Chậm nhưng minh họa recursion.
Regex pattern matching cho text processing.
python
beginner
[ "io", "file-operations" ]
3.9+
[ "python", "function", "example" ]
30924556
# File I/O def read_file(path): with open(path) as f: return f.read()
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
intermediate
[ "file-io", "context-manager" ]
3.9+
[ "python", "function", "example" ]
a1002468
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
advanced
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
b298ec17
# Data Processing def process_data(items): return [x.strip().lower() for x in items if x]
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
beginner
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
af5b1de7
def group_by_key(items, key): result = {} for item in items: k = item.get(key) if k not in result: result[k] = [] result[k].append(item) return result
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
intermediate
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
6b9c3b1a
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
advanced
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
b2622406
def count_chars(text): return {c: text.count(c) for c in set(text)}
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
beginner
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]
cfbdfcaf
# Lists & Dicts def flatten(nested): return [item for sublist in nested for item in sublist]
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
intermediate
[ "list", "flattening" ]
3.9+
[ "python", "function", "example" ]
9c448d1c
def merge_dicts(*dicts): return {k:v for d in dicts for k,v in d.items()}
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
advanced
[ "dict", "merging" ]
3.9+
[ "python", "function", "example" ]
26dc5054
# Error Handling def safe_int(value, default=0): try: return int(value) except: return default
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
beginner
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
42255000
# Algorithms def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
intermediate
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
68ed1b16
def is_prime(n): return n > 1 and all(n % i for i in range(2, int(n**0.5)+1))
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
advanced
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
3291b7ff
# OOP class BaseModel: def __init__(self, **kwargs): self.__dict__.update(kwargs) def to_dict(self): return self.__dict__
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
beginner
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
8b453252
# Decorators def log_calls(func): def wrapper(*args, **kwargs): print(f"Calling {func.__name__}") return func(*args, **kwargs) return wrapper
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
intermediate
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
3f5c6d4b
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
advanced
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
71ddb7a1
# Regular Expressions def extract_emails(text): import re return re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
beginner
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
6536882e
# JSON Operations def load_json(path): with open(path) as f: return json.load(f)
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
intermediate
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]
1c96c23c
def save_json(path, data): with open(path, 'w') as f: json.dump(data, f)
Kiểm tra số nguyên tố. Dùng all() để check tất cả divisors.
Regex pattern matching cho text processing.
python
advanced
[ "io", "file-operations" ]
3.9+
[ "python", "function", "example" ]
06e08fe3
# File I/O def read_file(path): with open(path) as f: return f.read()
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
beginner
[ "file-io", "context-manager" ]
3.9+
[ "python", "function", "example" ]
337eeba5
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
intermediate
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
5f3469bb
# Data Processing def process_data(items): return [x.strip().lower() for x in items if x]
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
advanced
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
f2814897
def group_by_key(items, key): result = {} for item in items: k = item.get(key) if k not in result: result[k] = [] result[k].append(item) return result
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
beginner
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
76a1c379
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
intermediate
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
ec9bca9e
def count_chars(text): return {c: text.count(c) for c in set(text)}
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
advanced
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]
315ce4e7
# Lists & Dicts def flatten(nested): return [item for sublist in nested for item in sublist]
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
beginner
[ "list", "flattening" ]
3.9+
[ "python", "function", "example" ]
5155a671
def merge_dicts(*dicts): return {k:v for d in dicts for k,v in d.items()}
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
intermediate
[ "dict", "merging" ]
3.9+
[ "python", "function", "example" ]
d934c5d3
# Error Handling def safe_int(value, default=0): try: return int(value) except: return default
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
advanced
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
b52db3c2
# Algorithms def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
beginner
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
4adc893d
def is_prime(n): return n > 1 and all(n % i for i in range(2, int(n**0.5)+1))
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
intermediate
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
110552bc
# OOP class BaseModel: def __init__(self, **kwargs): self.__dict__.update(kwargs) def to_dict(self): return self.__dict__
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
advanced
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
38feffe4
# Decorators def log_calls(func): def wrapper(*args, **kwargs): print(f"Calling {func.__name__}") return func(*args, **kwargs) return wrapper
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
beginner
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
54e61bf1
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
intermediate
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
8ab46490
# Regular Expressions def extract_emails(text): import re return re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
advanced
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
b68047ed
# JSON Operations def load_json(path): with open(path) as f: return json.load(f)
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
beginner
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]
4c07f8be
def save_json(path, data): with open(path, 'w') as f: json.dump(data, f)
Base class cơ bản. **kwargs để flexible initialization.
Regex pattern matching cho text processing.
python
intermediate
[ "io", "file-operations" ]
3.9+
[ "python", "function", "example" ]
1c59742a
# File I/O def read_file(path): with open(path) as f: return f.read()
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
advanced
[ "file-io", "context-manager" ]
3.9+
[ "python", "function", "example" ]
8388a546
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
beginner
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
009fb082
# Data Processing def process_data(items): return [x.strip().lower() for x in items if x]
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
intermediate
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
6a735674
def group_by_key(items, key): result = {} for item in items: k = item.get(key) if k not in result: result[k] = [] result[k].append(item) return result
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
advanced
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
6fc58cde
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
beginner
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
340c070b
def count_chars(text): return {c: text.count(c) for c in set(text)}
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
intermediate
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]
c8ba5180
# Lists & Dicts def flatten(nested): return [item for sublist in nested for item in sublist]
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
advanced
[ "list", "flattening" ]
3.9+
[ "python", "function", "example" ]
ae91cf43
def merge_dicts(*dicts): return {k:v for d in dicts for k,v in d.items()}
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
beginner
[ "dict", "merging" ]
3.9+
[ "python", "function", "example" ]
42e7befb
# Error Handling def safe_int(value, default=0): try: return int(value) except: return default
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
intermediate
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
70d49294
# Algorithms def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
advanced
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
6181530a
def is_prime(n): return n > 1 and all(n % i for i in range(2, int(n**0.5)+1))
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
beginner
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
c5ed29ee
# OOP class BaseModel: def __init__(self, **kwargs): self.__dict__.update(kwargs) def to_dict(self): return self.__dict__
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
intermediate
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
c863b06a
# Decorators def log_calls(func): def wrapper(*args, **kwargs): print(f"Calling {func.__name__}") return func(*args, **kwargs) return wrapper
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
advanced
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
da4a1237
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
beginner
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
65a5d5cc
# Regular Expressions def extract_emails(text): import re return re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
intermediate
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
bd88702b
# JSON Operations def load_json(path): with open(path) as f: return json.load(f)
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
advanced
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]
7ba8c323
def save_json(path, data): with open(path, 'w') as f: json.dump(data, f)
Decorator log_calls ghi lại mỗi lần function được gọi.
Regex pattern matching cho text processing.
python
beginner
[ "io", "file-operations" ]
3.9+
[ "python", "function", "example" ]
90ab72af
# File I/O def read_file(path): with open(path) as f: return f.read()
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
intermediate
[ "file-io", "context-manager" ]
3.9+
[ "python", "function", "example" ]
0970629f
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
advanced
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
6719ca2c
# Data Processing def process_data(items): return [x.strip().lower() for x in items if x]
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
beginner
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
b0e4a98e
def group_by_key(items, key): result = {} for item in items: k = item.get(key) if k not in result: result[k] = [] result[k].append(item) return result
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
intermediate
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
1c0e45a8
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
advanced
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
4c11a640
def count_chars(text): return {c: text.count(c) for c in set(text)}
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
beginner
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]
e3bfb2d3
# Lists & Dicts def flatten(nested): return [item for sublist in nested for item in sublist]
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
intermediate
[ "list", "flattening" ]
3.9+
[ "python", "function", "example" ]
8a5224d1
def merge_dicts(*dicts): return {k:v for d in dicts for k,v in d.items()}
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
advanced
[ "dict", "merging" ]
3.9+
[ "python", "function", "example" ]
c98957c4
# Error Handling def safe_int(value, default=0): try: return int(value) except: return default
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
beginner
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
7f25f001
# Algorithms def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
intermediate
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
095fce14
def is_prime(n): return n > 1 and all(n % i for i in range(2, int(n**0.5)+1))
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
advanced
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
28048c9c
# OOP class BaseModel: def __init__(self, **kwargs): self.__dict__.update(kwargs) def to_dict(self): return self.__dict__
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
beginner
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
e99a3b5d
# Decorators def log_calls(func): def wrapper(*args, **kwargs): print(f"Calling {func.__name__}") return func(*args, **kwargs) return wrapper
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
intermediate
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
f8e317ca
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
advanced
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
2681b45f
# Regular Expressions def extract_emails(text): import re return re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
beginner
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
9ea4b929
# JSON Operations def load_json(path): with open(path) as f: return json.load(f)
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
intermediate
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]
06b16467
def save_json(path, data): with open(path, 'w') as f: json.dump(data, f)
Fetch data từ API endpoint. Trả về JSON.
Regex pattern matching cho text processing.
python
advanced
[ "io", "file-operations" ]
3.9+
[ "python", "function", "example" ]
de13def9
# File I/O def read_file(path): with open(path) as f: return f.read()
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
beginner
[ "file-io", "context-manager" ]
3.9+
[ "python", "function", "example" ]
0972c7ca
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
intermediate
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
905814dd
# Data Processing def process_data(items): return [x.strip().lower() for x in items if x]
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
advanced
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
30ffb21c
def group_by_key(items, key): result = {} for item in items: k = item.get(key) if k not in result: result[k] = [] result[k].append(item) return result
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
beginner
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
3d55df0b
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
intermediate
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
fc88adf0
def count_chars(text): return {c: text.count(c) for c in set(text)}
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
advanced
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]
79e05b9c
# Lists & Dicts def flatten(nested): return [item for sublist in nested for item in sublist]
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
beginner
[ "list", "flattening" ]
3.9+
[ "python", "function", "example" ]
169431fc
def merge_dicts(*dicts): return {k:v for d in dicts for k,v in d.items()}
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
intermediate
[ "dict", "merging" ]
3.9+
[ "python", "function", "example" ]
2a66bed6
# Error Handling def safe_int(value, default=0): try: return int(value) except: return default
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
advanced
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
e14637a2
# Algorithms def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
beginner
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
1cad4ad7
def is_prime(n): return n > 1 and all(n % i for i in range(2, int(n**0.5)+1))
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
intermediate
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
f9364182
# OOP class BaseModel: def __init__(self, **kwargs): self.__dict__.update(kwargs) def to_dict(self): return self.__dict__
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
advanced
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
2698f2ab
# Decorators def log_calls(func): def wrapper(*args, **kwargs): print(f"Calling {func.__name__}") return func(*args, **kwargs) return wrapper
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
beginner
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
6f63846c
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
intermediate
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
022363d2
# Regular Expressions def extract_emails(text): import re return re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
advanced
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
376777a3
# JSON Operations def load_json(path): with open(path) as f: return json.load(f)
Extract emails từ text dùng regex pattern.
Regex pattern matching cho text processing.
python
beginner
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]