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22d81dfa
# Error Handling def safe_int(value, default=0): try: return int(value) except: return default
Base class cơ bản. **kwargs để flexible initialization.
Grouping là common operation trong data analysis.
python
intermediate
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
6a457234
# Algorithms def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)
Base class cơ bản. **kwargs để flexible initialization.
Grouping là common operation trong data analysis.
python
advanced
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
1bb730b3
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.
Grouping là common operation trong data analysis.
python
beginner
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
3e8c015e
# 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.
Grouping là common operation trong data analysis.
python
intermediate
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
eb5fac51
# 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.
Grouping là common operation trong data analysis.
python
advanced
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
1dd78b4a
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Base class cơ bản. **kwargs để flexible initialization.
Grouping là common operation trong data analysis.
python
beginner
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
e66adbd2
# Regular Expressions def extract_emails(text): import re return re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)
Base class cơ bản. **kwargs để flexible initialization.
Grouping là common operation trong data analysis.
python
intermediate
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
5f615d8c
# JSON Operations def load_json(path): with open(path) as f: return json.load(f)
Base class cơ bản. **kwargs để flexible initialization.
Grouping là common operation trong data analysis.
python
advanced
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]
c573426b
def save_json(path, data): with open(path, 'w') as f: json.dump(data, f)
Base class cơ bản. **kwargs để flexible initialization.
Grouping là common operation trong data analysis.
python
beginner
[ "io", "file-operations" ]
3.9+
[ "python", "function", "example" ]
3ed4e0de
# 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.
Grouping là common operation trong data analysis.
python
intermediate
[ "file-io", "context-manager" ]
3.9+
[ "python", "function", "example" ]
0cf86d3f
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Decorator log_calls ghi lại mỗi lần function được gọi.
Grouping là common operation trong data analysis.
python
advanced
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
3e55ce00
# 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.
Grouping là common operation trong data analysis.
python
beginner
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
df782248
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.
Grouping là common operation trong data analysis.
python
intermediate
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
e86eafa1
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Decorator log_calls ghi lại mỗi lần function được gọi.
Grouping là common operation trong data analysis.
python
advanced
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
1aff3dad
def count_chars(text): return {c: text.count(c) for c in set(text)}
Decorator log_calls ghi lại mỗi lần function được gọi.
Grouping là common operation trong data analysis.
python
beginner
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]
88221a21
# 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.
Grouping là common operation trong data analysis.
python
intermediate
[ "list", "flattening" ]
3.9+
[ "python", "function", "example" ]
f4ac5819
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.
Grouping là common operation trong data analysis.
python
advanced
[ "dict", "merging" ]
3.9+
[ "python", "function", "example" ]
0518c435
# 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.
Grouping là common operation trong data analysis.
python
beginner
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
f3c60dbe
# 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.
Grouping là common operation trong data analysis.
python
intermediate
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
9652d5fd
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.
Grouping là common operation trong data analysis.
python
advanced
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
187501a9
# 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.
Grouping là common operation trong data analysis.
python
beginner
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
8da587e6
# 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.
Grouping là common operation trong data analysis.
python
intermediate
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
dd3886b4
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Decorator log_calls ghi lại mỗi lần function được gọi.
Grouping là common operation trong data analysis.
python
advanced
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
d7ad0bd3
# 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.
Grouping là common operation trong data analysis.
python
beginner
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
124a87c9
# 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.
Grouping là common operation trong data analysis.
python
intermediate
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]
4864f86b
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.
Grouping là common operation trong data analysis.
python
advanced
[ "io", "file-operations" ]
3.9+
[ "python", "function", "example" ]
83bf6b2f
# File I/O def read_file(path): with open(path) as f: return f.read()
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
beginner
[ "file-io", "context-manager" ]
3.9+
[ "python", "function", "example" ]
30d34c26
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
intermediate
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
7b02499e
# Data Processing def process_data(items): return [x.strip().lower() for x in items if x]
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
advanced
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
a8b2d1ad
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.
Grouping là common operation trong data analysis.
python
beginner
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
16c5da1a
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
intermediate
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
73b26443
def count_chars(text): return {c: text.count(c) for c in set(text)}
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
advanced
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]
28fc9d5c
# Lists & Dicts def flatten(nested): return [item for sublist in nested for item in sublist]
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
beginner
[ "list", "flattening" ]
3.9+
[ "python", "function", "example" ]
e3b2cbc3
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.
Grouping là common operation trong data analysis.
python
intermediate
[ "dict", "merging" ]
3.9+
[ "python", "function", "example" ]
a989358c
# Error Handling def safe_int(value, default=0): try: return int(value) except: return default
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
advanced
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
82932cb5
# Algorithms def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
beginner
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
06513b8a
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.
Grouping là common operation trong data analysis.
python
intermediate
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
9637bb5d
# 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.
Grouping là common operation trong data analysis.
python
advanced
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
5af38fc8
# 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.
Grouping là common operation trong data analysis.
python
beginner
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
0edd4dd0
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
intermediate
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
cd5f0d89
# Regular Expressions def extract_emails(text): import re return re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
advanced
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
9627a28b
# JSON Operations def load_json(path): with open(path) as f: return json.load(f)
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
beginner
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]
4b4f6538
def save_json(path, data): with open(path, 'w') as f: json.dump(data, f)
Fetch data từ API endpoint. Trả về JSON.
Grouping là common operation trong data analysis.
python
intermediate
[ "io", "file-operations" ]
3.9+
[ "python", "function", "example" ]
fdac4c60
# File I/O def read_file(path): with open(path) as f: return f.read()
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
advanced
[ "file-io", "context-manager" ]
3.9+
[ "python", "function", "example" ]
8a511ba1
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
beginner
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
85c8610d
# Data Processing def process_data(items): return [x.strip().lower() for x in items if x]
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
intermediate
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
c4f4ed3e
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.
Grouping là common operation trong data analysis.
python
advanced
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
d259b781
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
beginner
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
0eb648cc
def count_chars(text): return {c: text.count(c) for c in set(text)}
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
intermediate
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]
a8d7edc8
# Lists & Dicts def flatten(nested): return [item for sublist in nested for item in sublist]
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
advanced
[ "list", "flattening" ]
3.9+
[ "python", "function", "example" ]
9f7ea4fb
def merge_dicts(*dicts): return {k:v for d in dicts for k,v in d.items()}
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
beginner
[ "dict", "merging" ]
3.9+
[ "python", "function", "example" ]
dbc5e39f
# Error Handling def safe_int(value, default=0): try: return int(value) except: return default
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
intermediate
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
08cc06fa
# Algorithms def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
advanced
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
9b9336e3
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.
Grouping là common operation trong data analysis.
python
beginner
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
36d49d80
# 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.
Grouping là common operation trong data analysis.
python
intermediate
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
127489f7
# 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.
Grouping là common operation trong data analysis.
python
advanced
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
9a3c7b95
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
beginner
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
9051ba77
# Regular Expressions def extract_emails(text): import re return re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
intermediate
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
72a2569a
# JSON Operations def load_json(path): with open(path) as f: return json.load(f)
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
advanced
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]
064da32b
def save_json(path, data): with open(path, 'w') as f: json.dump(data, f)
Extract emails từ text dùng regex pattern.
Grouping là common operation trong data analysis.
python
beginner
[ "io", "file-operations" ]
3.9+
[ "python", "function", "example" ]
8be28b7f
# File I/O def read_file(path): with open(path) as f: return f.read()
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
intermediate
[ "file-io", "context-manager" ]
3.9+
[ "python", "function", "example" ]
9605dbec
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
advanced
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
1ce10597
# Data Processing def process_data(items): return [x.strip().lower() for x in items if x]
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
beginner
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
f56851f2
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
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
intermediate
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
33bf83d2
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
advanced
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
2ea0d7e3
def count_chars(text): return {c: text.count(c) for c in set(text)}
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
beginner
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]
fc382897
# Lists & Dicts def flatten(nested): return [item for sublist in nested for item in sublist]
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
intermediate
[ "list", "flattening" ]
3.9+
[ "python", "function", "example" ]
067e8b0e
def merge_dicts(*dicts): return {k:v for d in dicts for k,v in d.items()}
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
advanced
[ "dict", "merging" ]
3.9+
[ "python", "function", "example" ]
c0760f37
# Error Handling def safe_int(value, default=0): try: return int(value) except: return default
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
beginner
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
a4f9bee7
# Algorithms def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
intermediate
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
76ee661e
def is_prime(n): return n > 1 and all(n % i for i in range(2, int(n**0.5)+1))
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
advanced
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
c4deb0f0
# OOP class BaseModel: def __init__(self, **kwargs): self.__dict__.update(kwargs) def to_dict(self): return self.__dict__
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
beginner
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
9d510dfe
# Decorators def log_calls(func): def wrapper(*args, **kwargs): print(f"Calling {func.__name__}") return func(*args, **kwargs) return wrapper
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
intermediate
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
9c5a8924
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
advanced
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
38da47fe
# Regular Expressions def extract_emails(text): import re return re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
beginner
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
5aa2546d
# JSON Operations def load_json(path): with open(path) as f: return json.load(f)
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
intermediate
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]
d5e372b5
def save_json(path, data): with open(path, 'w') as f: json.dump(data, f)
Load JSON từ file. Trả về parsed object.
Grouping là common operation trong data analysis.
python
advanced
[ "io", "file-operations" ]
3.9+
[ "python", "function", "example" ]
6d0846c3
# File I/O def read_file(path): with open(path) as f: return f.read()
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
beginner
[ "file-io", "context-manager" ]
3.9+
[ "python", "function", "example" ]
8abcaede
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
intermediate
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
21a0e5ea
# Data Processing def process_data(items): return [x.strip().lower() for x in items if x]
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
advanced
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
07061622
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
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
beginner
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
7e199a28
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
intermediate
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
862d88d2
def count_chars(text): return {c: text.count(c) for c in set(text)}
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
advanced
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]
de5307c5
# Lists & Dicts def flatten(nested): return [item for sublist in nested for item in sublist]
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
beginner
[ "list", "flattening" ]
3.9+
[ "python", "function", "example" ]
f92921f7
def merge_dicts(*dicts): return {k:v for d in dicts for k,v in d.items()}
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
intermediate
[ "dict", "merging" ]
3.9+
[ "python", "function", "example" ]
b63f79cf
# Error Handling def safe_int(value, default=0): try: return int(value) except: return default
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
advanced
[ "error-handling", "type-conversion" ]
3.9+
[ "python", "function", "example" ]
4ff4f3ce
# Algorithms def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
beginner
[ "recursion", "algorithm" ]
3.9+
[ "python", "function", "example" ]
5e0922e8
def is_prime(n): return n > 1 and all(n % i for i in range(2, int(n**0.5)+1))
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
intermediate
[ "algorithm", "math" ]
3.9+
[ "python", "function", "example" ]
9de9bef1
# OOP class BaseModel: def __init__(self, **kwargs): self.__dict__.update(kwargs) def to_dict(self): return self.__dict__
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
advanced
[ "class", "oop" ]
3.9+
[ "python", "function", "example" ]
1f85e877
# Decorators def log_calls(func): def wrapper(*args, **kwargs): print(f"Calling {func.__name__}") return func(*args, **kwargs) return wrapper
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
beginner
[ "decorator", "function" ]
3.9+
[ "python", "function", "example" ]
94dcbb33
# Working with APIs def fetch_data(url): import requests return requests.get(url).json()
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
intermediate
[ "api", "http" ]
3.9+
[ "python", "function", "example" ]
ecd494a9
# Regular Expressions def extract_emails(text): import re return re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
advanced
[ "regex", "pattern-matching" ]
3.9+
[ "python", "function", "example" ]
8eed7a58
# JSON Operations def load_json(path): with open(path) as f: return json.load(f)
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
beginner
[ "json", "file-io" ]
3.9+
[ "python", "function", "example" ]
6d46734f
def save_json(path, data): with open(path, 'w') as f: json.dump(data, f)
Save data thành JSON file.
Grouping là common operation trong data analysis.
python
intermediate
[ "io", "file-operations" ]
3.9+
[ "python", "function", "example" ]
abee715f
# File I/O def read_file(path): with open(path) as f: return f.read()
Hàm này đọc nội dung của file và trả về dưới dạng string.
String manipulation dùng .split() và slicing.
python
advanced
[ "file-io", "context-manager" ]
3.9+
[ "python", "function", "example" ]
c2bb6576
def write_file(path, content): with open(path, 'w') as f: f.write(content)
Hàm này đọc nội dung của file và trả về dưới dạng string.
String manipulation dùng .split() và slicing.
python
beginner
[ "list-processing", "data-structures" ]
3.9+
[ "python", "function", "example" ]
18f6e023
# Data Processing def process_data(items): return [x.strip().lower() for x in items if x]
Hàm này đọc nội dung của file và trả về dưới dạng string.
String manipulation dùng .split() và slicing.
python
intermediate
[ "string", "text-processing" ]
3.9+
[ "python", "function", "example" ]
33f27e64
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
Hàm này đọc nội dung của file và trả về dưới dạng string.
String manipulation dùng .split() và slicing.
python
advanced
[ "grouping", "dict" ]
3.9+
[ "python", "function", "example" ]
40dc8c2e
# String Operations def reverse_words(text): return ' '.join(text.split()[::-1])
Hàm này đọc nội dung của file và trả về dưới dạng string.
String manipulation dùng .split() và slicing.
python
beginner
[ "string", "manipulation" ]
3.9+
[ "python", "function", "example" ]
d4bd9018
def count_chars(text): return {c: text.count(c) for c in set(text)}
Hàm này đọc nội dung của file và trả về dưới dạng string.
String manipulation dùng .split() và slicing.
python
intermediate
[ "dict", "counting" ]
3.9+
[ "python", "function", "example" ]