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🚀 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 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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🚀 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮𝗻 𝗔𝗜/𝗟𝗟𝗠 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿: 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺
𝗠𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗲 𝘀𝗸𝗶𝗹𝗹𝘀 𝘁𝗲𝗰𝗵 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗮𝗿𝗲 𝗵𝗶𝗿𝗶𝗻𝗴 𝗳𝗼𝗿: fine-tune large language models and deploy them to production at scale.
𝗕𝘂𝗶𝗹𝘁 𝗳𝗿𝗼𝗺 𝗿𝗲𝗮𝗹 𝗔𝗜 𝗷𝗼𝗯 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀.
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🔥 Master These 30 Algorithms to Boost Your Coding Skills! 🚀
- Binary Search 🕵️♂️
- Quick Sort ⚡
- Merge Sort 🌊
- Heap Sort 🏰
- BFS 🌐
- DFS 🌲
- Dijkstra’s Shortest Path 🚗
- Bellman-Ford 🚦
- Floyd-Warshall 🌉
- Kruskal’s Minimum Spanning Tree 🌳
- Prim’s Algorithm 🌿
- KMP Pattern Matching 🔍
- Rabin-Karp Search 🧮
- Dynamic Programming 🧠
- Kadane’s Max Subarray Sum 💥
- Floyd’s Cycle Detection 🔄
- Topological Sort 🗂️
- Backtracking 🎯
- Binary Tree Traversals 🌳
- Segment Tree 📊
- Union-Find Disjoint Set 🔗
- Greedy Algorithms 🎯
- Bit Manipulation 💡
- Sliding Window ⏱️
- Two Pointers 🔀
- Hashing 🔑
- Recursion 🔁
- Divide & Conquer ⚔️
- Graph Coloring 🎨
- A* Search 🗺️
Master these, ace interviews, and become a problem-solving pro! 💪🔥
***
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🔰 HTML Tags List 🚀
Do not forget to React ❤️ to this Message for More Content Like this
Thanks For Joining All ❤️🙏
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Advanced inventory management system FULL SOURCE CODE FREE 👇
https://inprogrammer.com/inventory-management-using-python/
23 662
Handwritten DSA Notes in Python 🐍📝
Perfect for quick revision and solid understanding!
💖 React if you find it helpful – more coming soon!
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Data Analyst Power BI and SQL Learning Resources🔥
https://bytebynote.site/product/data-analyst-power-bi-and-sql-learning-resources/
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🔥 | Top 10 VS Code Extensions 📚👨💻
✨ | Prettier: Clean, consistent auto-formatting
🧩 | Bracket Pair Colorizer: Color-coded brackets
⚡️ | Live Server: Auto-refresh websites as you code
📸 | CodeSnap: Snap stunning code screenshots
🖤 | Aura Theme: Sleek dark mode for your editor
🎨 | Material Icon Theme: Colorful file icons, easy nav
🤖 | GitHub Copilot: AI code buddy with smart suggestions
⚙️ | ESLint: Catch and fix errors on the fly
🚀 | Tabnine: Speed up coding with AI autocomplete
🔍 | Path Intellisense: Auto path imports, zero hassle
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23 662
*Free Data Science Webinar + Certificate by Guvi & HCL!* 📊💻
Learn Python, ML, Data Analysis & more! 🔍📈
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import tkinter as tk
from time import strftime
def update_time():
current_time = strftime("%I:%M:%S %p")
label.config(text=current_time)
label.after(1000, update_time)
# Create the main window
root = tk.Tk()
root.title("Digital Clock")
label = tk.Label(root, font=("Calibri", 40, "bold"), background="blue", foreground="white")
label.pack(anchor="center")
# Start the clock
update_time()
# Run the application
root.mainloop()
23 662
Useful Excel Shortcuts:
● Ctrl + A: Select all contents of the page.
● Ctrl + B: Bold highlighted selection.
● Ctrl + C: Copy selected text.
● Ctrl + X: Cut selected text.
● Ctrl + P: Open the print window.
● Ctrl + F: Open find box.
●Ctrl + I: Italic highlighted selection.
● Ctrl + K: Insert link (Shortcut Keys and their Functions).
● Ctrl + U: Underline highlighted selection.
● Ctrl + V: Paste.
● Ctrl + Y: Redo the last action performed.
● Ctrl + Z: Undo last action.
● Ctrl + L: Aligns the line or selected text to the left of the screen.
● Ctrl + E: Aligns the line or selected text to the center of the screen.
● Ctrl + R: Aligns the line or selected text to the right of the screen.
● Ctrl + M: Indent the paragraph.
● Ctrl + Shift + F: Change the font.
● Ctrl + Shift + >: Increase selected font +1pts up to 12pt and then increases font +2pts.
● Ctrl + ]: Increase selected font +1pts.
● Ctrl + Shift + <: Decrease selected font -1pts if 12pt or lower, if above 12 decreases font by +2pt.
● Ctrl + [: Decrease selected font -1pts.
● Ctrl + Shift + *: View or hide non printing characters.
● Ctrl + L: Moves one word to the left.
● Ctrl + R: Moves one word to the right.
● Ctrl + : Moves to the beginning of the line or paragraph.
● Ctrl + : Moves to the end of the paragraph.
● Ctrl + Del: Deletes word to right of cursor.
● Ctrl + Backspace: Deletes word to left of cursor.
● Ctrl + End: Moves the cursor to the end of the
document.
● Ctrl + Home: Moves the cursor to the beginning of the document.
● Ctrl + Spacebar: Reset highlighted text to the default font.
● Ctrl + 1: Single-space lines.
● Ctrl + 2: Double-space lines.
● Ctrl + 5: 1.5-line spacing.
● Ctrl + Alt + 1: Changes text to heading 1.
● Ctrl + Alt + 2: Changes text to heading 2.
● Ctrl + Alt + 3: Changes text to heading 3.
● Alt + Shift + D: Insert the current date.
● Alt + Shift + T: Insert the current time.
◉ Alt + F: File menu options in current program.
◉ Alt + E: Edit options in current program.
◉ F1: Universal Help in almost every Windows program.
◉ Ctrl + A: Select all text.
◉ Ctrl + X: Cut
◉ Shift + Del: Cut selected item.
◉ Ctrl + C: Copy selected item.
◉ Ctrl + Ins: Copy selected item.
◉ Ctrl + V: Paste selected item.
◉ Shift + Ins: Paste.
◉ Home: Goes to beginning of current line.
◉ Ctrl + Home: Goes to beginning of document.
◉ End: Goes to end of current line.
◉ Ctrl + End: Goes to end of document.
◉ Shift + Home: Highlights from current position to beginning of line.
◉ Shift + End: Highlights from current position to end of line.
◉ Ctrl + Left arrow: Moves one word to the left at a time.
◉ Ctrl + Right arrow: Moves one word to the right at a time.
Don't Forget To React ❤️!
23 662
Top 10 Python Libraries for Data Science
🐍 NumPy – Fast array operations and numerical computing
📊 Pandas – Data manipulation using DataFrames
📈 Matplotlib – Plotting and basic data visualization
🎨 Seaborn – Statistical plots built on Matplotlib
🧠 Scikit-learn – Machine learning models and tools
🤖 TensorFlow – Deep learning library by Google
🔥 PyTorch – Flexible deep learning by Facebook
📉 Statsmodels – Statistical tests and data exploration
🚀 XGBoost – Powerful boosting algorithm for structured data
🌐 Plotly – Interactive and web-ready visualizations
React ❤️ for more
23 662
Top 10 Python Libraries for Data Science
🐍 NumPy – Fast array operations and numerical computing
📊 Pandas – Data manipulation using DataFrames
📈 Matplotlib – Plotting and basic data visualization
🎨 Seaborn – Statistical plots built on Matplotlib
🧠 Scikit-learn – Machine learning models and tools
🤖 TensorFlow – Deep learning library by Google
🔥 PyTorch – Flexible deep learning by Facebook
📉 Statsmodels – Statistical tests and data exploration
🚀 XGBoost – Powerful boosting algorithm for structured data
🌐 Plotly – Interactive and web-ready visualizations
React ❤️ for more
23 662
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