Python is like New Year. π You can pass a tuple to
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startswith and endswith. π»π#Python #Programming #TechTips #Coding #DevCommunity #LearnToCode
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Variables in Python are stickers, not boxes.
A variable doesn't store a value, but points to it. If you change a list, both variables will see the change. This makes sense with stickers. But with boxes, it's magic: two boxes mysteriously change simultaneously.
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#Python #Programming #Variables #Coding #Tech #DataScience
A variable doesn't store a value, but points to it. If you change a list, both variables will see the change. This makes sense with stickers. But with boxes, it's magic: two boxes mysteriously change simultaneously.
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What useful functions are there in the functools module?
Among the most popular ones: lru_cache for caching results, partial for partial application of arguments, wraps for preserving metadata in decorators and cmp_to_key for transforming a comparison function into a sorting key πβ¨
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Among the most popular ones: lru_cache for caching results, partial for partial application of arguments, wraps for preserving metadata in decorators and cmp_to_key for transforming a comparison function into a sorting key πβ¨
# functools module usage
from functools import lru_cache, partial, wraps, cmp_to_key
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Do you know that Python allows you to get all the object's attributes with one function without additional code? π
When you need to quickly check the state of an object, many manually access the attributes or dig into
But for this, Python already has a built-in function
It returns a dictionary of all the object's attributes, including the current state of the instance.
This is useful for debugging, logging, serialization, ORM, and analyzing the runtime state of objects.
Also,
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When you need to quickly check the state of an object, many manually access the attributes or dig into
__dict__.But for this, Python already has a built-in function
vars().vars(obj)
It returns a dictionary of all the object's attributes, including the current state of the instance.
{'x': 10}This is useful for debugging, logging, serialization, ORM, and analyzing the runtime state of objects.
print(vars(user))
Also,
vars() works with modules, classes, and any objects with dict.
vars(module)
π₯ vars()` β a rather underrated tool for quickly analyzing the state of objects during execution.#Python #Coding #Programming #Debugging #TechTips #DevLife
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Python there is a small convenience that not everyone knows about: in startswith and endswith you can pass an tuple of values directly
This allows you to check multiple options with one call, without long conditions and unnecessary code
π #Python #Programming #Coding #Tips #Developer #Tech
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This allows you to check multiple options with one call, without long conditions and unnecessary code
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3 quick ways to merge dictionaries in Python π
1οΈβ£ The operator | (Python 3.9+) β the most modern and elegant way. Creates a new dictionary.
2οΈβ£ The in-place update operator |= (Python 3.9+) β if you need to modify the first dictionary in place.
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1οΈβ£ The operator | (Python 3.9+) β the most modern and elegant way. Creates a new dictionary.
dict1 = {'a': 1, 'b': 2}
dict2 = {'b': 99, 'c': 4}
combined = dict1 | dict2
# Result: {'a': 1, 'b': 99, 'c': 4} (values of the second dictionary replace the first)2οΈβ£ The in-place update operator |= (Python 3.9+) β if you need to modify the first dictionary in place.
dict1 |= dict2
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#Programming #Coding #Development #Tech #Python #DataScience
**Today we will examine
It allows a class instance to work as a function, preserving the state and filtering rules. βοΈ
Let's create a filter for numbers that only passes even ones and strictly greater than a specified threshold:
Let's use the filter in practice:
Now each instance can have its own rules:
π₯ So,
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__call__ β a data filter object!** π§ It allows a class instance to work as a function, preserving the state and filtering rules. βοΈ
Let's create a filter for numbers that only passes even ones and strictly greater than a specified threshold:
class EvenFilter:
def __init__(self, threshold):
self.threshold = threshold
def __call__(self, numbers):
return [n for n in numbers if n % 2 == 0 and n > self.threshold]
Let's use the filter in practice:
f = EvenFilter(5)
nums = [1, 4, 6, 7, 10]
print(f(nums)) # [6, 10]
Now each instance can have its own rules:
f2 = EvenFilter(8)
print(f2(nums)) # [10]
π₯ So,
__call__ turns an object into a "smart function" with memory and customizable logic. π‘#Python #DataScience #Programming #Coding #Tech #HelloEncyclo
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collections.Counter β counting elements in a single line. π
Counting elements without loops with Counter π
Do you need to count how many times each word appears in a text or how many duplicates there are in a list? Don't reinvent the wheel with for loops and dictionaries. The built-in collections module will do everything for you. π
π Code:
Ideal for basic data analysis and solving tasks on LeetCode. π»
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#Python #DataScience #Coding #Programming #LearnToCode #TechSkills
Counting elements without loops with Counter π
Do you need to count how many times each word appears in a text or how many duplicates there are in a list? Don't reinvent the wheel with for loops and dictionaries. The built-in collections module will do everything for you. π
π Code:
from collections import Counter
words = ["apple", "banana", "apple", "cherry", "banana", "apple"]
word_counts = Counter(words)
print(word_counts)
# Output: Counter({'apple': 3, 'banana': 2, 'cherry': 1})
# Bonus: the top 2 most frequent elements
print(word_counts.most_common(2))
# Output: [('apple', 3), ('banana', 2)]
Ideal for basic data analysis and solving tasks on LeetCode. π»
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Search for a substring in Python π
In this example, two simple ways of finding a substring in a string are shown, which allow to solve the task without unnecessary code π»
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In this example, two simple ways of finding a substring in a string are shown, which allow to solve the task without unnecessary code π»
# Example implementation
def find_substring(text, sub):
return text.find(sub)
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