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Learn Python Coding

Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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Learn Python Coding (@pythonre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 122 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 231-o'rinni va Hindiston mintaqasida 9 549-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

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31 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 153 ga, so‘nggi 24 soatda esa 7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

Yuqori yangilanish chastotasi (oxirgi ma’lumot 01 Sentabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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✨ How to Expense Your Real Python Membership ✨ 📖 Many companies offer professional development or learning budgets that can
How to Expense Your Real Python Membership ✨ 📖 Many companies offer professional development or learning budgets that can cover the cost of a Real Python membership. Here's how you can get your membership reimbursed. 🏷️ #Python

OverflowAI | AI Coding Tools ✨ 📖 A suite of generative AI features that bring conversational search and assistants to Stack Overflow. 🏷️ #Python

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✨ Quiz: Get Started With FastAPI ✨ 📖 This hands-on quiz will test your knowledge of FastAPI basics, from installation and en
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
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

🌟 Swiftproxy – Fast, Secure, and Reliable Proxies for Every Project Looking for proxies that are stable, high-speed, and rea
🌟 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. 🌐 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

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
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
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,
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