Machine Learning with Python
前往频道在 Telegram
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
显示更多📈 Telegram 频道 Machine Learning with Python 的分析概览
频道 Machine Learning with Python (@codeprogrammer) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 68 102 名订阅者,在 教育 类别中位列第 2 372,并在 印度 地区排名第 4 808 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 68 102 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 112,过去 24 小时变化为 8,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 4.52%。内容发布后 24 小时内通常能获得 1.90% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 3 077 次浏览,首日通常累积 1 291 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 5。
- 主题关注点: 内容集中在 insidead, learning, degree, evaluation, algorithm 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 Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
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 教育 类别中的关键影响点。
68 102
订阅者
+824 小时
-727 天
+11230 天
帖子存档
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Repost from Python Courses & Resources
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Repost from Python Courses & Resources
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
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KMeans clustering animation in the style of 3blue1brown
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🧠 Converting images to ASCII: text instead of pixels
Want to turn any image into ASCII art? It's not magic, just simple brightness processing.
It's tedious and stupid to do it manually
img = [
[255, 0, 0],
[0, 255, 0]
]
# Now we need to pick a symbol for each pixel...
# What a hassle.
Problem:
Manually selecting symbols by brightness is a pain. We need to automate the conversion of grayscale to symbols.
✔️ The right way (using gradation)
```python
from PIL import Image
def image_to_ascii(path, width=100):
img = Image.open(path)
aspect = img.height / img.width
height = int(width * aspect * 0.55)
img = img.resize((width, height)).convert('L')
ascii_chars = '@%#*+=-:. '
pixels = img.getdata()
ascii_art = '\n'.join(
ascii_chars[pixel * (len(ascii_chars) - 1) // 255]
for pixel in pixels
)
lines = [ascii_art[i:i+width] for i in range(0, len(ascii_art), width)]
return '\n'.join(lines)
print(image_to_ascii('cat.jpg'))```
How it works:
convert('L') converts the image to grayscale
Each pixel (0-255) is assigned a symbol from the set
The darker the pixel, the "denser" the symbol (e.g., '@'), the lighter - the "weaker" (space)
Let's write a converter with customizable palette:
```python
class AsciiConverter:
PALETTES = {
'default': '@%#*+=-:. ',
'blocks': '█rayed ',
'detailed': '$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\\|()1{}[]?-_+~<>i!lI;:,"^`\'. '
}
def __init__(self, palette_name='default'):
if palette_name not in self.PALETTES:
raise ValueError(f'Нет такой палитры, идиот. Выбери из: {list(self.PALETTES.keys())}')
self.chars = self.PALETTES[palette_name]
def convert(self, image_path, width=80):
# ... code to convert using self.chars ...
return ascii_result```
Try specifying a non-existent palette - you'll get a clear error. Key parameters: 🔵Width - determines the size of the final ASCII art 🔵Character palette - affects the detail and style 🔵Aspect ratio - important for correct display 🔵Inversion - you can invert the brightness for a dark background Important: ASCII art isn't just a fun thing. It's used to visualize data in the console, create creative logs, and even "hide" information in plain sight. 👩💻 @CodeProgrammer
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As promised, i will do another challenge for those who missed the previous one!
Last one we completed in 6 days, let’s do this one even quicker!
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https://t.me/+DAKLP7eUy9Y3ZjY0
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Кто я и зачем Я здесь
Дмитрий Мачихин, основатель компании BitOK (Бит окей). Предприниматель и инвестор в сфере финансов, web3 и игр. Пишу для себя и для вас. Иногда наступаю на горло мошенникам и врагам народа.
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