Learn Python Coding

✨ Microsoft Copilot | AI Coding Tools ✨ 📖 A generative AI assistant available in Bing, Microsoft Edge, and Windows. 🏷️ #Python

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✨ Quiz: Get Started With FastAPI ✨ 📖 This hands-on quiz will test your knowledge of FastAPI basics, from installation and endpoints to automatic JSON responses and Swagger UI. 🏷️ #intermediate #api #front-end #web-dev

✨ CodeGeeX | AI Coding Tools ✨ 📖 An open multilingual code generation model family and an IDE assistant. 🏷️ #Python

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&timestep=1.0&play 👉 https://t.me/CodeProgrammer

✨ 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 #data-science #python

✨ Jupyter AI | AI Coding Tools ✨ 📖 A JupyterLab extension that brings generative AI into notebooks. 🏷️ #Python

✨ Zed | AI Coding Tools ✨ 📖 A high-performance, collaborative code editor with built-in AI agent tooling. 🏷️ #Python

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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.

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

👉 https://t.me/DataScience4

✨ 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

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✨ Quiz: What Can You Do With Python? ✨ 📖 Review where Python shines: web, APIs, CLIs, GUIs, data science, ORMs, automation, and robots. Practice key terms, tools, and workflows. 🏷️ #basics #career

✨ Quiz: Ways to Start Interacting With Python ✨ 📖 Test your knowledge of running Python interactively using REPL, scripts, and IDEs, and clarify key concepts. 🏷️ #basics #python

✨ Code Llama | AI Coding Tools ✨ 📖 A family of code-specialized large language models (LLMs) for generating, completing, and explaining source code. 🏷️ #Python

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