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11 de mai. de 2026, 16:59
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Python learning
11 de mai. de 2026, 16:59
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Get started with Python quickly using this easy cheatsheet! 🚀
From comments and operators to data structures, loops, and file handling, this guide covers the most useful Python basics, making coding faster and simpler for beginners and pros alike. Save this post and level up your Python journey!
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Python learning
11 de mai. de 2026, 16:59
pinned «FREE FREE FREE FREE FREE 🚀 Welcome to PythonAdvisor — your ultimate hub for mastering Python programming and AI technologies! 👨💻 Whether you’re a beginner or an advanced developer, join our community for: • Daily Python tutorials and coding tips • Latest…»
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Python learning
11 de mai. de 2026, 16:59
FREE FREE FREE FREE FREE
🚀 Welcome to PythonAdvisor — your ultimate hub for mastering Python programming and AI technologies!
👨💻 Whether you’re a beginner or an advanced developer, join our community for:
• Daily Python tutorials and coding tips
• FREE FREE FREE FREE
Hand Written Notes , Ebook.
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✅Python Interview Questions with Answers 🧑💻👩💻
1️⃣ Write a function to remove outliers from a list using IQR.
import numpy as np
def remove_outliers(data):
q1 = np.percentile(data, 25)
q3 = np.percentile(data, 75)
iqr = q3 - q1
lower = q1 - 1.5 * iqr
upper = q3 + 1.5 * iqr
return [x for x in data if lower <= x <= upper]
2️⃣ Convert a nested list to a flat list.
nested = [[1, 2], [3, 4],]
flat = [item for sublist in nested for item in sublist]
3️⃣ Read a CSV file and count rows with nulls.
import pandas as pd
df = pd.read_csv('data.csv')
null_rows = df.isnull().any(axis=1).sum()
print("Rows with nulls:", null_rows)
4️⃣ How do you handle missing data in pandas?
⦁ Drop missing rows: df.dropna()
⦁ Fill missing values: df.fillna(value)
⦁ Check missing data: df.isnull().sum()
5️⃣ Explain the difference between loc[] and iloc[].
⦁ loc[]: Label-based indexing (e.g., row/column names)
Example: df.loc[0, 'Name']
⦁ iloc[]: Position-based indexing (e.g., row/column numbers)
Example: df.iloc
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Python learning
11 de mai. de 2026, 16:59
FREE FREE FREE FREE FREE
🚀 Welcome to PythonAdvisor — your ultimate hub for mastering Python programming and AI technologies!
👨💻 Whether you’re a beginner or an advanced developer, join our community for:
• Daily Python tutorials and coding tips
• Latest AI insights and projects
• Interactive quizzes and challenges
• Support from fellow learners and experts
🔥 Start your programming journey with PythonAdvisor today.
Subscribe now and unlock the power of coding!
👉 Join us on Telegram: [ https://t.me/pythonadvisor]
#Python #AI #Programming #LearnPython #PythonAdvisor
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Python learning
11 de mai. de 2026, 16:59
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Python learning
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Python learning
11 de mai. de 2026, 16:59
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Handwritten DSA Notes in Python 🐍📝
Perfect for quick revision and solid understanding!
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