Python Programming & AI Resources
前往频道在 Telegram
✅ Python Programming Books ✅ Coding Projects ✅ Important Pdfs ✅ Artificial Intelligence Courses ✅ Data Science Notes For promotions: @love_data Buy ads: https://telega.io/c/pythonproz
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网络:📈 Telegram 频道 Python Programming & AI Resources 的分析概览
频道 Python Programming & AI Resources (@pythonproz) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 13 520 名订阅者，在 技术与应用 类别中位列第 9 410，并在 印度 地区排名第 29 249 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 13 520 名订阅者。
根据 26 十月, 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 -91，过去 24 小时变化为 -11，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 19.06%。内容发布后 24 小时内通常能获得 N/A% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 0 次浏览，首日通常累积 0 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 0。
- 主题关注点： 内容集中在 tuple, comprehension, learning, programming, loop 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：
“✅ Python Programming Books
✅ Coding Projects
✅ Important Pdfs
✅ Artificial Intelligence Courses
✅ Data Science Notes
For promotions: @love_data
Buy ads: https://telega.io/c/pythonproz”
凭借高频更新（最新数据采集于 27 十月, 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。
13 520
订阅者
-1124 小时
-397 天
-9130 天
帖子存档
✅ 50 Must-Know Python Concepts for Interviews 🐍📊
📍 Core Concepts
1. Data Types: int, float, str, bool, list, tuple, dict, set
2. Operators: Arithmetic, Comparison, Logical
3. Control Flow: if, elif, else
4. Loops: for, while
5. Functions: def, lambda
6. Variables & Scope
📍 Data Structures
7. Lists: Manipulation, indexing, slicing
8. Tuples: Immutability
9. Dictionaries: Key-value pairs
10. Sets: Unique elements
📍 Object-Oriented Programming (OOP)
11. Classes and Objects
12. Inheritance
13. Polymorphism
14. Encapsulation
📍 File Handling
15. Opening, reading, writing files
16. Context Managers (with statement)
📍 Modules & Packages
17. Importing modules
18. Creating and using packages
19. Popular Libraries: NumPy, Pandas, Matplotlib, Scikit-learn
📍 NumPy
20. Arrays: Creation, indexing, slicing
21. Mathematical Operations
22. Broadcasting
📍 Pandas
23. Series and DataFrames
24. Data Selection, Filtering
25. Grouping and Aggregation
26. Joining and Merging
27. Handling Missing Data
📍 Data Cleaning & Preprocessing
28. Handling Missing Values
29. Outlier Detection and Treatment
30. Data Transformation (scaling, normalization)
📍 Data Visualization
31. Matplotlib: Plots, charts, customizations
32. Seaborn: Statistical visualizations
📍 Machine Learning Basics
33. Supervised Learning
34. Unsupervised Learning
35. Model Evaluation Metrics
36. Cross-Validation
📍 Common ML Algorithms
37. Linear Regression
38. Logistic Regression
39. Decision Trees
40. Random Forests
📍 Advanced Concepts
41. List Comprehensions
42. Generators
43. Decorators
44. Error Handling (try, except)
45. Regular Expressions
📍 Best Practices
46. Code Style (PEP 8)
47. Documentation
48. Testing
49. Version Control (Git)
📍 Real-World Scenarios
50. Data Analysis Projects
💡 Tap ❤️ for more! #python #coding #interview #datascience #machinelearning #programming
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Advanced Python Programming Accelerate your Python programs.pdf8.46 MB
Goldman Sachs Python Interview Questions 🚀
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Difference between list and tuple in python
🔸List is mutable ( you can modify the original list) and it's values are written in sqare brackets [ ]
🔸Tuple is immutable ( you can't modify it) and it's values are written in parentheses ( ) delimited by comma( , )
🔸To convert list to tuple - we use tuple() function
list1 = [1,2,3]
print(tuple(list1)) Output : (1,2,3)
🔸 For single element list
list1 = [1]
print(tuple(list1)) Output : (1, )
▪️a tuple is a tuple because of comma not because of parentheses
