✨ Quiz: Python Project Management With uv ✨
📖 Test your skills with uv, the fast Python project manager. Practice setup, package installs, and key files created by uv.
🏷️ #intermediate #tools
📖 Test your skills with uv, the fast Python project manager. Practice setup, package installs, and key files created by uv.
🏷️ #intermediate #tools
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✨ Visual Studio IntelliCode | AI Coding Tools ✨
📖 An AI-assisted coding feature that augments IntelliSense.
🏷️ #Python
📖 An AI-assisted coding feature that augments IntelliSense.
🏷️ #Python
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Cheat sheet for f-strings in Python
f-strings are one of the simplest and fastest ways to format texts in Python.
Save this cheat sheet to always have it handy⌨️
Extended version here
https://fstring.help/cheat/
https://t.me/DataScience4🔰
f-strings are one of the simplest and fastest ways to format texts in Python.
Save this cheat sheet to always have it handy
Extended version here
https://fstring.help/cheat/
https://t.me/DataScience4
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fstring.help
Python f-string cheat sheet
Get quick help with Python's f-string syntax
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✨ Python MCP: Connect Your LLM With the World ✨
📖 Learn how to build a Model Context Protocol (MCP) server in Python. Connect tools, prompts, and data to AI agents like Cursor for smarter assistants.
🏷️ #intermediate
📖 Learn how to build a Model Context Protocol (MCP) server in Python. Connect tools, prompts, and data to AI agents like Cursor for smarter assistants.
🏷️ #intermediate
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✨ Gemini Code Assist | AI Coding Tools ✨
📖 An AI coding assistant for integrated development environments (IDEs) and Google Cloud.
🏷️ #Python
📖 An AI coding assistant for integrated development environments (IDEs) and Google Cloud.
🏷️ #Python
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RapidProxy provides developers with a reliable proxy network built for scale.
🌐 https://www.rapidproxy.io/?ref=tst
Why Developers Choose RapidProxy
No monthly lock-in. Pay once, use when you need—perfect for long-term projects.
Evaluate performance before committing. Ideal for experimenting with your Python workflows.
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HTTP(S) & SOCKS5 compatibility ensures smooth integration with tools like requests, Scrapy, or Selenium.
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RapidProxy — Fast · Reliable · Developer-Friendly
Your trusted partner for Python scraping and global online operations.
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✨ Code Llama | AI Coding Tools ✨
📖 A family of code-specialized large language models (LLMs) for generating, completing, and explaining source code.
🏷️ #Python
📖 A family of code-specialized large language models (LLMs) for generating, completing, and explaining source code.
🏷️ #Python
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✨ Astral's ty: A New Blazing-Fast Type Checker for Python ✨
📖 Learn to use ty, an ultra-fast Python type checker written in Rust. Get setup instructions, run type checks, and fine-tune custom rules in personal projects.
🏷️ #intermediate #tools
📖 Learn to use ty, an ultra-fast Python type checker written in Rust. Get setup instructions, run type checks, and fine-tune custom rules in personal projects.
🏷️ #intermediate #tools
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4 ways to copy a list in Python
In Python, there are several ways to make a copy of a list. But it is important to understand the difference between a shallow copy and a deep copy.
Now let's check the difference between shallow and deep copy:
👉 https://t.me/DataScience4
In Python, there are several ways to make a copy of a list. But it is important to understand the difference between a shallow copy and a deep copy.
original = [1, 2, [3, 4]]
# 1. Slice (shallow copy)
copy1 = original[:]
# 2. .copy() method (shallow copy)
copy2 = original.copy()
# 3. Using list() (shallow copy)
copy3 = list(original)
# 4. deepcopy (deep copy)
import copy
copy4 = copy.deepcopy(original)
Now let's check the difference between shallow and deep copy:
original[2].append(5)
print(copy1)
# [1, 2, [3, 4, 5]] — nested list changed!
print(copy4)
# [1, 2, [3, 4]] — unchanged
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🌟 Swiftproxy – Fast, Secure, and Reliable Proxies for Every Project
Looking for proxies that are stable, high-speed, and ready for any online task? Swiftproxy is your go-to solution! From web scraping and data analytics to automation and competitive research, our proxies help you work smarter, faster, and without limits.
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💫Join Swiftproxy Now: https://t.me/swiftproxynetofficial
Looking for proxies that are stable, high-speed, and ready for any online task? Swiftproxy is your go-to solution! From web scraping and data analytics to automation and competitive research, our proxies help you work smarter, faster, and without limits.
🌐 https://www.swiftproxy.net/?ref=python53
✨Why Swiftproxy Stands Out:
🔄 Rotating & Sticky IPs
Switch IPs seamlessly or maintain the same one for longer sessions. Avoid blocks, CAPTCHAs, and interruptions effortlessly.
🌍 Global Coverage & Advanced Targeting
Access over 90 million IPs across 220+ countries. Pinpoint IPs by country, city, or ASN for precise data collection.
⚡️ Fast, Secure, & Reliable
Enjoy high-speed servers with 99.8% uptime and advanced encryption, ensuring seamless and secure data collection.
💻 Flexible & Compatible
Supports HTTP(S) and SOCKS5 protocols and integrates easily with over 650 tools and applications.
✅ Flexible Data Usage
Residential proxies: Non-expiring bandwidth starting from just $0.7/GB — use it whenever you need.
Static residential proxies: Valid for 30 days, priced from $6/IP, giving you maximum control.
🔥Kickstart your projects with Swiftproxy’s reliable residential proxies and make your workflow smoother than ever!
👉 https://www.swiftproxy.net/?ref=python53
🎯 Get Started Quickly:
1. Register a new account on Swiftproxy
2. Contact support to claim 500MB free residential proxy traffic
🎊Use exclusive code SWIFT90 for 10% off your first purchase!
💫Join Swiftproxy Now: https://t.me/swiftproxynetofficial
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✨ Zed | AI Coding Tools ✨
📖 A high-performance, collaborative code editor with built-in AI agent tooling.
🏷️ #Python
📖 A high-performance, collaborative code editor with built-in AI agent tooling.
🏷️ #Python
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✨ Jupyter AI | AI Coding Tools ✨
📖 A JupyterLab extension that brings generative AI into notebooks.
🏷️ #Python
📖 A JupyterLab extension that brings generative AI into notebooks.
🏷️ #Python
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✨ Polars vs pandas: What's the Difference? ✨
📖 Discover the key differences in Polars vs pandas to help you choose the right Python library for faster, more efficient data analysis.
🏷️ #intermediate #datascience #python
📖 Discover the key differences in Polars vs pandas to help you choose the right Python library for faster, more efficient data analysis.
🏷️ #intermediate #datascience #python
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Forwarded from Machine Learning with Python
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Visualization of Python objects and references
Many beginner Python developers face confusion when working with mutability and references between variables. It is especially difficult to understand during debugging of complex data structures when it is unclear how exactly they are connected.⌨️
So here is memory_graph — an open-source tool for visualizing Python objects and references. It shows the data structure, call stack, and connections between variables.
👉 Link: https://github.com/bterwijn/memory_graph?tab=readme-ov-file
It also supports working with recursion and structures such as binary trees or linked lists.
Works in VS Code, Jupyter, PyCharm, and is available online without installation.
😁 more: https://memory-graph.com/#breakpoints=8&continues=1×tep=1.0&play
👉 https://t.me/CodeProgrammer
Many beginner Python developers face confusion when working with mutability and references between variables. It is especially difficult to understand during debugging of complex data structures when it is unclear how exactly they are connected.
So here is memory_graph — an open-source tool for visualizing Python objects and references. It shows the data structure, call stack, and connections between variables.
It also supports working with recursion and structures such as binary trees or linked lists.
Works in VS Code, Jupyter, PyCharm, and is available online without installation.
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