Which of the following is used to handle exceptions in Python?
Anonymous Quiz
70%
A) try-except
11%
B) catch-throw
7%
C) try-finally
12%
D) error-handle
👍3❤2
How many of you know about First-Class Functions and Higher-Order Functions in Python?
Anonymous Poll
20%
I know both 😎
24%
I’ve heard of them but not sure 😅
57%
Never heard of them 😟
🔥2👍1
If most people vote 'Never heard of them,' I'll create a post breaking it down in the simplest way possible!
❤13🙏6👍4
Are you struggling to find a good final-year project or a unique project to add to your resume?
Anonymous Poll
77%
✅ Yes, I need help with ideas
17%
💻 Yes, I need source codes
1%
🎉 No, I already have one
4%
🚫 I'm not looking for projects right now
👍8
What is the primary purpose of decorators in Python?
Anonymous Quiz
63%
1️⃣ Add functionality to a function
13%
2️⃣ Create new data types
13%
3️⃣ Define global variables
11%
4️⃣ Format strings
❤3👍2
If you remember this reel - https://www.instagram.com/reel/DC_zpM2A1vW/, where I showed how to create a QR code in just four lines, that was pretty easy, right?
Well, in this new code, we're adding more customization options like error handling, QR code size, design, and more!
Well, in this new code, we're adding more customization options like error handling, QR code size, design, and more!
👍7❤2
import qrcode
def generate_qr_code(text, file_name):
qr = qrcode.QRCode(
version=1,
error_correction=qrcode.constants.ERROR_CORRECT_L,
box_size=10,
border=3
)
qr.add_data(text)
qr.make(fit=True)
img = qr.make_image(fill_color="#4B8BBE", back_color="white")
img.save(file_name)
if name == "main":
text = "https://www.instagram.com/pycode.hubb/"
file_name = "qr_code.png"
generate_qr_code(text, file_name)
print(f"QR code saved as {file_name}")
def generate_qr_code(text, file_name):
qr = qrcode.QRCode(
version=1,
error_correction=qrcode.constants.ERROR_CORRECT_L,
box_size=10,
border=3
)
qr.add_data(text)
qr.make(fit=True)
img = qr.make_image(fill_color="#4B8BBE", back_color="white")
img.save(file_name)
if name == "main":
text = "https://www.instagram.com/pycode.hubb/"
file_name = "qr_code.png"
generate_qr_code(text, file_name)
print(f"QR code saved as {file_name}")
🔥20👍11
What Python library is most commonly used for data manipulation and analysis?
Anonymous Quiz
11%
Scikit-learn
22%
Matplotlib
48%
Pandas
20%
NumPy
👍6🔥1
Hint: This library provides DataFrame and Series structures, which are essential for handling structured data in Python.
❤10
🎉 Thanks to these legends, building logic is a piece of cake!
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🔥11👍4
x, y = {"a": 1, "b": 2}, {"b": 3, "c": 4}
z = {**x, **y}
print(z)
z = {**x, **y}
print(z)
Anonymous Quiz
8%
{'a': 1, 'b': 2, 'c': 4}
18%
{'a': 1, 'b': 3, 'c': 4}
40%
{'a': 1, 'b': 2, 'b': 3, 'c': 4}
34%
Error
👍22❤8🥰1
Best Python Books For Beginners ⤵️
Python Crash Course: A Hands-On, Project-Based Introduction to Programming (2nd Edition)
For Indian users: 🇮🇳 https://amzn.to/42lQXjU
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Head-First Python: A Brain-Friendly Guide (2nd Edition)
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Learn Python the Hard Way: 3rd Edition
For Indian users: 🇮🇳 https://amzn.to/40fgfgQ
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Python Programming: An Introduction to Computer Science (4th Edition)
For Indian users: 🇮🇳 https://amzn.to/4g6Wqye
For international users: 🌍 https://amzn.to/4h0ploG
Python Crash Course: A Hands-On, Project-Based Introduction to Programming (2nd Edition)
For Indian users: 🇮🇳 https://amzn.to/42lQXjU
For international users: 🌍 https://amzn.to/40q62OR
Head-First Python: A Brain-Friendly Guide (2nd Edition)
For Indian users: 🇮🇳 https://amzn.to/4gZ0ly5
For international users: 🌍 https://amzn.to/4h1CKgi
Learn Python the Hard Way: 3rd Edition
For Indian users: 🇮🇳 https://amzn.to/40fgfgQ
For international users: 🌍 https://amzn.to/40u1zL4
Python Programming: An Introduction to Computer Science (4th Edition)
For Indian users: 🇮🇳 https://amzn.to/4g6Wqye
For international users: 🌍 https://amzn.to/4h0ploG
👍7❤2
Need help with your assignments or projects? 🎓💻
I'm here to assist!
Drop me a DM (@akash_b1), and let's get started. 😊
I'm here to assist!
Drop me a DM (@akash_b1), and let's get started. 😊
👍3
Which function in NumPy is used to calculate the mean of an array?
Anonymous Quiz
6%
np.median()
71%
np.mean()
14%
np.average()
9%
np.sum()
👍4❤1