The 10 Biggest Python Mistakes Newbies Make
When I started learning Python, I was just focused on getting my code to work. I didn’t care much about the “right way” to do things. But that changed when my teacher looked at my code and said, “It works, but it’s written horribly.”
That was a wake-up call. I realized that writing good code isn’t just about making it work — it’s about writing it cleanly and efficiently.
In this post, we’ll go over 10 common Python mistakes that scream you’re a newbie. Avoiding these will help you write better, cleaner code!
Click to Read full post.....
When I started learning Python, I was just focused on getting my code to work. I didn’t care much about the “right way” to do things. But that changed when my teacher looked at my code and said, “It works, but it’s written horribly.”
That was a wake-up call. I realized that writing good code isn’t just about making it work — it’s about writing it cleanly and efficiently.
In this post, we’ll go over 10 common Python mistakes that scream you’re a newbie. Avoiding these will help you write better, cleaner code!
Click to Read full post.....
❤15👍6
Working on some cheatsheet posts, so please help out! Which Python library do you use the most?
Anonymous Poll
51%
Numpy
57%
Pandas
37%
Matplotlib
11%
Requests
13%
BeautifulSoup (bs4)
11%
Selenium
25%
TensorFlow / PyTorch
16%
OpenCV (cv2)
29%
Flask / Django
14%
SQLAlchemy
👍9😁4❤1
numbers = [1, 2, 3, 4]
numbers.append([5, 6])
print(len(numbers))
numbers.append([5, 6])
print(len(numbers))
Anonymous Quiz
57%
6
35%
5
7%
4
1%
3
🔥22👍15🤨10🤔3🏆3😇3🥱2❤1
def func(val, lst=[]):
lst.append(val)
return lst result1 = func(1) result2 = func(2, []) result3 = func(3) print(result1, result2, result3)
lst.append(val)
return lst result1 = func(1) result2 = func(2, []) result3 = func(3) print(result1, result2, result3)
Anonymous Quiz
40%
A) [1] [2] [3]
35%
B) [1, 3] [2] [1, 3]
12%
C) [1, 3] [2] [3]
12%
D) [1] [2] [1, 3]
🤯25😭17🏆10😁8👍3💔3😢1
How many of you are preparing for a Python interview?
Anonymous Poll
42%
Yes, actively preparing!
26%
Yes, but need more guidance.
28%
Not yet, but planning to.
4%
Not interested in Python interviews.
👍11❤3
Should I drop Deep Learning notes?
Deep Learning with Python & Deep Learning with PyTorch!
Drop a reaction if you want them—let’s aim for 150!
Deep Learning with Python & Deep Learning with PyTorch!
Drop a reaction if you want them—let’s aim for 150!
👍96❤10🔥10
Deep Learning Resources.zip
31.4 MB
Deep Learning Resources!
Thank you for the amazing response, everyone! 🎉
I’ll be sharing more notes, projects, and insights on the channel, so stay tuned! 🔥
📢 Exciting News! We’ve launched a free newsletter where you’ll get exclusive Python tips & insights delivered straight to your inbox every Friday! 🐍💡
💌 Subscribe for free and level up your coding skills! 🌱✨
👉 Click Here to Join 🚀
❤️ React to this post if you found it helpful—I’ve got more awesome content coming your way! 🚀
Thank you for the amazing response, everyone! 🎉
I’ll be sharing more notes, projects, and insights on the channel, so stay tuned! 🔥
📢 Exciting News! We’ve launched a free newsletter where you’ll get exclusive Python tips & insights delivered straight to your inbox every Friday! 🐍💡
💌 Subscribe for free and level up your coding skills! 🌱✨
👉 Click Here to Join 🚀
❤️ React to this post if you found it helpful—I’ve got more awesome content coming your way! 🚀
❤18👍8
Why Python is the Language of Tomorrow
Why Learning Python Today Sets You Up for Tomorrow
Have you ever wondered why Python is almost always the first language people recommend for beginners?
Click Here To Read Full Post
Why Learning Python Today Sets You Up for Tomorrow
Have you ever wondered why Python is almost always the first language people recommend for beginners?
Click Here To Read Full Post
❤12👍2👏1
Forwarded from Pycode Hubb
Python eBook + 99 Projects with Source Code & Explanation ⤵️:
»»»»Download Now«««««
»»»»Download Now«««««
👍7❤5
Machine Learning Handwritten Notes.pdf
17.3 MB
Machine Learning Handwritten Notes 📚
Don’t forget to react ❤️ if you’d like to see more content like this!
Thank you all for joining! ❤️🙏
Don’t forget to react ❤️ if you’d like to see more content like this!
Thank you all for joining! ❤️🙏
❤52👍11🔥6👀1
Level: Hard⚡️
print({True: 'A', 1: 'B', 1.0: 'C'}[1])
print({True: 'A', 1: 'B', 1.0: 'C'}[1])
Anonymous Quiz
20%
A) 'A'
31%
B) 'B'
9%
C) 'C'
41%
D) KeyError
😐16👍11🤯9❤6😁2
Python eBook + 99 Projects with Source Code & Explanation ⤵️:
»»»»Download Now«««««
»»»»Download Now«««««
❤4👍4
Which math topic do you think is the most important for Machine Learning? 🤔
Anonymous Poll
29%
A) Linear Algebra 🔢
52%
B) Probability & Statistics 📊
10%
C) Calculus 📈
9%
D) Optimization 🚀
👍9❤6