Learn Python Coding

前往频道在 Telegram

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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网络:Machine Learning with Python 印度9 688 技术与应用3 242...

📈 Telegram 频道 Learn Python Coding 的分析概览

频道 Learn Python Coding (@pythonre) 英语语言赛道中的是活跃参与者。目前社区聚集了 40 060 名订阅者，在 技术与应用 类别中位列第 3 242，并在印度地区排名第 9 688 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 40 060 名订阅者。

根据 27 八月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 168，过去 24 小时变化为 12，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 3.06%。内容发布后 24 小时内通常能获得 1.11% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 1 227 次浏览，首日通常累积 443 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 3。
主题关注点： 内容集中在 math, harvard, oxford, supervision, waybienad 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“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”

凭借高频更新（最新数据采集于 28 八月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。

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40 060

订阅者

+1224 小时

-377 天

+16830 天

1 227

帖子浏览量

~ 44324 小时

~ 64348 小时

3.06%

参与率

~ 2

每日帖子数

Ads index

beta

帖子存档

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✨ Quiz: Python Modules and Packages: An Introduction ✨ 📖 Test your knowledge of Python modules and packages. Learn about imports, namespaces, the dir() function, and more. 🏷️ #basics #python

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Repost from Machine Learning with Python

⚡️ Colorizing old black-and-white videos and "bringing faces to life" for FREE SVFR — a full-fledged framework for restoring faces in videos. It can: 💬 BFR — improve blurry faces. 💬 Colorization — colorize black-and-white videos. 💬 Inpainting — redraw damaged areas. 💬 and combine all of this in one pass. Essentially, the model takes old or damaged videos and makes them "as if they were shot yesterday". And it's free and open-source. ⚙️ Installation locally: 1. Create an environment

conda create -n svfr python=3.9 -y
conda activate svfr

2. Install PyTorch (for your CUDA)

pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2

3. Install dependencies

pip install -r requirements.txt

4. Download models

conda install git-lfs
git lfs install
git clone https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt models/stable-video-diffusion-img2vid-xt

5. Start processing videos

python infer.py \
--config config/infer.yaml \
--task_ids 0 \
--input_path input.mp4 \
--output_dir results/ \
--crop_face_region

Where task_ids: * 0 — face enhancement * 1 — colorization * 2 — redrawing damage An ideal tool if: 🟢you're restoring archival videos; 🟢you're creating historical content; 🟢you're working with neural networks and video effects; 🟢you want a wow result without paid services. ▶️ Demo on Hugging Face ♎️ GitHub/Instructions #python #soft #github https://t.me/CodeProgrammer

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🐍 Learning Python through real projects A collection of projects with which you can master Python by creating real applications: from backends and parsers to bots, games, and automation systems. Instead of theory — specific tasks, step-by-step tutorials, and repositories that help hone skills through practice. 📱 Link to GitHub https://github.com/practical-tutorials/project-based-learning?tab=readme-ov-file#python

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Repost from Machine Learning with Python

Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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