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Discover powerful insights with Python, Machine Learning, Coding, and Rβ€”your essential toolkit for data-driven solutions, smart alg

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80 Python Interview Questions.pdf
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πŸš€ 80 Python Interview Questions with Answers & Code! πŸš€

βœ… Why this resource? 
- Covers frequently asked questions in Python interviews 

πŸ“„ Each question comes with detailed answers and ready-to-use code snippets, making it perfect for beginners and experienced developers alike. Whether you're preparing for a job interview or leveling up your Python skills, this guide has you covered! πŸ‘€ 

πŸ”₯ Don’t miss out! Save this, share it, and start preparing today! πŸ’Ό 

#Python #DataScience #Programming #InterviewPrep #Coding #PythonInterview #TechInterview #DataScientist #PythonProgramming #LearnPython #CodeNewbie #CareerGrowth #TechJobs #PythonCode #PythonTips 

https://t.me/CodeProgrammer
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python_basics.pdf
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πŸš€ Master Python with Ease!

I've just compiled a set of clean and powerful Python Cheat Sheets to help beginners and intermediates speed up their coding workflow.

Whether you're brushing up on the basics or diving into data science, these sheets will save you time and boost your productivity.

πŸ“Œ Topics Covered:
Python Basics
Jupyter Notebook Tips
Importing Libraries
NumPy Essentials
Pandas Overview

Perfect for students, developers, and anyone looking to keep essential Python knowledge at their fingertips.

#Python #CheatSheets #PythonTips #DataScience #JupyterNotebook #NumPy #Pandas #MachineLearning #AI #CodingTips #PythonForBeginners

🌟 Join the communities:
βœ‰οΈ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk

πŸ“± Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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Matplotlib_cheatsheet.pdf
3.1 MB
πŸ”₯ Huge cheat sheet for plotting in Matplotlib with code examples

πŸ“Š Matplotlib is a powerful plotting library in Python used for creating static, animated, and interactive visualizations.

Main features of Matplotlib:
πŸ’¬ Versatility: can generate a wide range of plots including line plots, scatter plots, bar charts, histograms, and pie charts.

πŸ’¬ Customization: offers extensive options to control every aspect of the plot such as line styles, colors, markers, labels, and annotations.

πŸ’¬ Integration with NumPy: easily integrates with NumPy, simplifying plotting of data arrays directly.

πŸ’¬ Publication quality: creates high-quality plots suitable for publication, with precise control over aesthetics.

πŸ’¬ Extensibility: easily extended with a large ecosystem of additional toolkits and extensions, such as Seaborn and Pandas plotting functions.

πŸ’¬ Cross-platform: platform-independent and can run on various operating systems including Windows, macOS, and Linux.

πŸ’¬ Interactive plots: supports interactive plotting with widgets and event handling, allowing users to dynamically explore data.

#doc #cheatsheet #PythonTips

Matplotlib Cheatsheet (⭐️⭐️⭐️⭐️⭐️)

https://t.me/CodeProgrammer 😑
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πŸ’‘ Python F-Strings Cheatsheet

F-strings (formatted string literals) provide a concise and powerful way to embed expressions inside string literals for formatting. Just prefix the string with an f or F.

1. Basic Variable and Expression Embedding
name = "Alice"
quantity = 5
print(f"Hello, {name}. You have {quantity * 2} items in your cart.")
# Output: Hello, Alice. You have 10 items in your cart.

β€’ Place variables or expressions directly inside curly braces {}. Python evaluates the expression and inserts the result into the string.

2. Number Formatting
Control the appearance of numbers, such as padding with zeros or setting decimal precision.
pi_value = 3.14159
order_id = 42
print(f"Pi: {pi_value:.2f}")
print(f"Order ID: {order_id:04d}")
# Output:
# Pi: 3.14
# Order ID: 0042

β€’ :.2f formats the float to have exactly two decimal places.
β€’ :04d formats the integer to be at least 4 digits long, padding with leading zeros if necessary.

3. Alignment and Padding
Align text within a specified width, which is useful for creating tables or neatly formatted output.
item = "Docs"
print(f"|{item:<10}|") # Left-aligned
print(f"|{item:^10}|") # Center-aligned
print(f"|{item:>10}|") # Right-aligned
# Output:
# |Docs |
# | Docs |
# | Docs|

β€’ Use < for left, ^ for center, and > for right alignment, followed by the total width.

4. Date and Time Formatting
Directly format datetime objects within an f-string.
from datetime import datetime
now = datetime.now()
print(f"Current time: {now:%Y-%m-%d %H:%M}")
# Output: Current time: 2023-10-27 14:30

β€’ Use a colon : followed by standard strftime formatting codes to display dates and times as you wish.

#Python #Programming #CodingTips #FStrings #PythonTips

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By: @CodeProgrammer ✨