zip stops at the shortest list. zip_longest keeps going with fillvalue.
Perfect for:
- Data alignment
- Padding incomplete data
- CSV parsing with missing fields
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OnePythonTip
104 posts
OnePythonTip
@OnePythonTip
Daily bite-sized #Python & #DataScience gems. Maker of cool tees for devs. #MachineLearning #DataAnalytics #Programming #Coding #WebDeveloper
Bergabung Temmuz 2023
22 Mengikuti1 Pengikut
pdb is a built-in Python debugger.
Add this ONE line anywhere:
import pdb; pdb.set_trace()
Execution pauses and you can:
- Inspect variables (p variable)
- Step through code (n, s)
- Continue or quit (c, q)
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@staticmethod = function in a class. No self, no cls.
@classmethod = receives class (cls). Can create instances.
Use classmethod for alternative constructors.
Use staticmethod for utility functions.
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#Python #Coding 🐍
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💡 enumerate() works with ANY iterable.
# Tuples
for i, val in enumerate((10, 20)):
print(i, val) # 0 10, 1 20
# Files
with open("data.txt") as f:
for i, line in enumerate(f, start=1):
print(f"{i}: {line.strip()}") # line numbers!
What do you use enumerate for?
English
Stop using range(len()) to loop through lists.
❌ Ugly:
for i in range(len(list)):
print(i, list[i])
✅ Clean:
for i, item in enumerate(list):
print(i, item)
enumerate() gives you index AND value in one line.
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#Python #LearnToCode 🐍
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💡 setdefault vs defaultdict:
setdefault: works on ANY dict, one-time default.
defaultdict: needs import, default for ALL missing keys
Use setdefault when you only need default occasionally. Use defaultdict when EVERY missing key needs default. Which one do you use?
English
Counter is a dictionary for counting things.
Manual way:
counts = {}
for item in items:
counts[item] = counts.get(item, 0) + 1
Counter way:
from collections import Counter
counts = Counter(items)
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Flatten nested lists with chain.from_iterable().
Nested = [[1,2], [3,4], [5,6]]
chain.from_iterable (nested)
→ [1,2,3,4,5,6]
Why better than manual loops:
- Faster (C implementation)
- Cleaner
- Memory efficient
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@cached_property computes value ONCE, then caches it. Good for expensive ops.
Example:
class Report:
@cached_property
def sales_data(self):
return database.query("SELECT * FROM sales") # once
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partial creates a new function with some arguments pre-filled.
With partial:
square = partial(power, exponent=2)
Perfect for:
- Specializing general functions
- Callbacks with fixed parameters
- Reducing repetition
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💡 My "pro" moments:
1. Using enumerate() instead of range(len())
2. List comprehensions
3. defaultdict for grouping
4. Writing my first decorator (felt like magic)
What was YOUR moment? Be honest.
#Python #LearnToCode 🐍
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