The ternary operator in Python looks appealing, but it's easy to overdo it with it ::
Just because the code can be compressed into one line, doesn't mean it's a good idea for readability.
When the logic starts to branch out (3+ conditions) — the usual if-elif-else becomes much more understandable and easier to maintain.
It's better to leave the ternary operator for simple and short cases:
• compact expressions in comprehensions
• small lambda functions
• simple one-line returns
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'A' if s>=90 else 'B' if s>=80 else 'C' if s>=70 else 'F'
Just because the code can be compressed into one line, doesn't mean it's a good idea for readability.
When the logic starts to branch out (3+ conditions) — the usual if-elif-else becomes much more understandable and easier to maintain.
It's better to leave the ternary operator for simple and short cases:
• compact expressions in comprehensions
• small lambda functions
• simple one-line returns
💡 #Python #Coding #Programming #Developer #SoftwareEngineering #CodeQuality
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Forwarded from Machine Learning with Python
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📂 Reminder on Python set — set methods!
For example,
In the picture — the main methods and operations for working with set: addition, removal, union, intersection, difference, and set checks.
Save it to not lose it!
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For example,
add() adds an element to the set, update() combines several elements, and intersection() helps quickly find common values between data sets.In the picture — the main methods and operations for working with set: addition, removal, union, intersection, difference, and set checks.
Save it to not lose it!
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10 GitHub Repositories for Web Development in Python 🐍
Explore the best Python web development repositories for building APIs, full-stack web apps, dashboards, machine learning demos, internal tools, and interactive Python-based user interfaces. 🔥
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Explore the best Python web development repositories for building APIs, full-stack web apps, dashboards, machine learning demos, internal tools, and interactive Python-based user interfaces. 🔥
https://www.kdnuggets.com/10-github-repositories-for-web-development-in-python
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Guessing numbers
This project for beginners in Python is a fun game that generates a random number (within a certain range) that the user must guess after receiving hints.
For each incorrect guess, the user receives additional hints, but at the cost of reducing their overall score.
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This project for beginners in Python is a fun game that generates a random number (within a certain range) that the user must guess after receiving hints.
For each incorrect guess, the user receives additional hints, but at the cost of reducing their overall score.
💡🐍🎮 #Python #Coding #Beginners #Game #Learning #Tech
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How to create an object from a dictionary with dot access — without classes and dataclasses?
When you're working with JSON, configurations, or APIs, constant access via dict['key'] clutters the code and worsens readability:
SimpleNamespace gives the same result, but with dot access:
In this case, the object remains dynamic, and you can add fields:
However, the keys must be valid attribute names, and this only works for flat dictionaries (nesting is not converted).
🔥Convenient for prototyping, testing, and simple data.
#Python #DataStructures #SimpleNamespace #CodingTips #DevTools #Programming
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When you're working with JSON, configurations, or APIs, constant access via dict['key'] clutters the code and worsens readability:
data = {"host": "localhost", "port": 5432}
data["host"]SimpleNamespace gives the same result, but with dot access:
cfg = SimpleNamespace(**data)
print(cfg.host)
In this case, the object remains dynamic, and you can add fields:
cfg.debug = True
However, the keys must be valid attribute names, and this only works for flat dictionaries (nesting is not converted).
🔥Convenient for prototyping, testing, and simple data.
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What are lambda functions in Python?
Lambda functions — are anonymous functions, which are created using the lambda keyword. They can accept any number of arguments, but contain only one expression, the result of which is automatically returned.
They are most often used for short operations, for example during sorting, filtering or data processing.
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Lambda functions — are anonymous functions, which are created using the lambda keyword. They can accept any number of arguments, but contain only one expression, the result of which is automatically returned.
They are most often used for short operations, for example during sorting, filtering or data processing.
# Example:
sorted_data = sorted(data, key=lambda x: x[1])
filtered_data = list(filter(lambda x: x > 0, numbers))
#Python #LambdaFunctions #DataScience #Coding #Programming #TechTips
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