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Machine Learning with Python

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

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📈 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 68 103 名订阅者,在 教育 类别中位列第 2 374,并在 印度 地区排名第 4 765

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 68 103 名订阅者。

根据 28 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 75,过去 24 小时变化为 -18,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 4.69%。内容发布后 24 小时内通常能获得 1.70% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 3 194 次浏览,首日通常累积 1 155 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 6
  • 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 29 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。

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68 103
订阅者
-1824 小时
-907
+7530
帖子存档
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Checking the reliability of a password with Python! Sometimes you need to quickly check how secure a password is. Let's look at a simple example using regular expressions - a good opportunity to practice with re and conditional logic. Import the module:
import re
Create a password check function:
def check_password_strength(password):
    length = len(password) >= 8
    upper = re.search(r"[A-Z]", password)
    lower = re.search(r"[a-z]", password)
    digit = re.search(r"\d", password)
    special = re.search(r"[@$!%*?&]", password)

    if all([length, upper, lower, digit, special]):
        return "✅ Reliable password"
    else:
        return "⚠️ Weak password"
Check a few examples:
print(check_password_strength("Qwerty123"))
print(check_password_strength("Qw!8zYt@1"))
Output example:
⚠️ Weak password  
✅ Reliable password
🔥 Example of how to check a string for compliance with several conditions using code - and practice with regular expressions. 🚪 @DataScience4

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