Learn Python Coding
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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho
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- حالة التحقق: غير موثّقة
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“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills.
Admin: @HusseinSheikho || @Hussein_Sheikho”
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Python: simple things that improve code
If you write like this:
if type(x) == str:
print("This is a string")isinstance(). It takes into account inheritance and is more consistent with polymorphism.
if isinstance(x, str):
print("This is a string")type(x) == str is only suitable for simple cases, but it's fragile. isinstance(x, str) is a more stable and correct option almost always.
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Repost from Machine Learning with Python
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There's a floating-point number in Python and you need to output it as a percentage - use the % format in the f-string
x = .023
print(f'{x:.2%}') # 2.30%
x = .02375
print(f'{x:.2%}') # 2.38% -- rounded off!
x = 1.02375
print(f'{x:.2%}') # 102.38%40 060
Master Python the Right Way – Without Procrastination. 🐍✨
When I first started learning Python, I quickly realized:
You can't master a programming language just by reading syntax or watching tutorials. 📚🚫
Real growth happens when you practice, build, and solve problems on your own. 🛠💻
That's exactly why I've compiled a collection of Python programs – designed to take you from basics to advanced logic-building. 📈🧠
What is this collection about? 🤔
✔️ Beginner to advanced programs with clear explanations
✔️ Pattern-based exercises to strengthen core fundamentals
✔️ Problem-solving programs that sharpen logical thinking
Why is this important? 🌟
You don't just learn "how to code", you start learning "how to think like a programmer". 🧠⚡️
This is perfect for: 🎯
• Preparing for technical interviews 🤝
• Participating in coding challenges 🏆
• Building real-world Python projects 🚀
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🧐 Python Cheatsheet — a convenient cheat sheet for Python that really saves time at work!
The repository contains a summary of key topics: from basic syntax and data structures to working with files, environments, and OOP with classes and magic methods. Everything is presented compactly, without unnecessary theory, with examples that can be immediately applied in code.
Repo: https://github.com/onyxwizard/python-cheatsheet📱
https://t.me/pythonRe 👩💻
40 060
codes = ["A", "B", "C"]
found = False
for code in codes:
if code == "B":
found = True
break
if found:
print("Incorrect: Code B found (less efficient).")in operator is optimized for membership checks, offering better performance and cleaner code than manual loops, especially for larger lists.
---
5. Avoiding Unnecessary List Conversions
Description: Many functions and methods return iterators or generator objects for efficiency. Converting these directly to a list without need can waste memory and computation if you only need to process elements one by one.
Correct Usage: Process iterators directly when possible, convert to list only if multiple passes or random access is needed.
squares_gen = (x*x for x in range(5)) # Generator expression
for s in squares_gen: # Process elements one by one
print(f"Correct: {s}", end=" ") # Output: 0 1 4 9 16
print()
# If you need the full list:
squares_list = list(x*x for x in range(5))
print(f"Correct (list conversion): {squares_list}") # Output: [0, 1, 4, 9, 16]data_stream = map(str.upper, ['apple', 'banana', 'cherry'])
# If you only need to print them once:
full_list = list(data_stream) # Unnecessary list creation
for item in full_list:
print(f"Incorrect: {item}", end=" ") # Output: APPLE BANANA CHERRY
print()list() only when random access, repeated iteration, or a material collection is strictly required.
https://t.me/pythonRe 🌟
