Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
前往频道在 Telegram
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data
显示更多📈 Telegram 频道 Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books 的分析概览
频道 Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 56 136 名订阅者,在 技术与应用 类别中位列第 2 280,并在 印度 地区排名第 6 075 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 56 136 名订阅者。
根据 31 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 -52,过去 24 小时变化为 6,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 1.78%。内容发布后 24 小时内通常能获得 0.70% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 998 次浏览,首日通常累积 394 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 algorithm, structure, stack, javascript, programming 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:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
凭借高频更新(最新数据采集于 01 九月, 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。
56 136
订阅者
+624 小时
+197 天
-5230 天
帖子存档
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Python Roadmap for 2025: Complete Guide
1. Python Fundamentals
1.1 Variables, constants, and comments.
1.2 Data types: int, float, str, bool, complex.
1.3 Input and output (input(), print(), formatted strings).
1.4 Python syntax: Indentation and code structure.
2. Operators
2.1 Arithmetic: +, -, *, /, %, //, **.
2.2 Comparison: ==, !=, <, >, <=, >=.
2.3 Logical: and, or, not.
2.4 Bitwise: &, |, ^, ~, <<, >>.
2.5 Identity: is, is not.
2.6 Membership: in, not in.
3. Control Flow
3.1 Conditional statements: if, elif, else.
3.2 Loops: for, while.
3.3 Loop control: break, continue, pass.
4. Data Structures
4.1 Lists: Indexing, slicing, methods (append(), pop(), sort(), etc.).
4.2 Tuples: Immutability, packing/unpacking.
4.3 Dictionaries: Key-value pairs, methods (get(), items(), etc.).
4.4 Sets: Unique elements, set operations (union, intersection).
4.5 Strings: Immutability, methods (split(), strip(), replace()).
5. Functions
5.1 Defining functions with def.
5.2 Arguments: Positional, keyword, default, *args, **kwargs.
5.3 Anonymous functions (lambda).
5.4 Recursion.
6. Modules and Packages
6.1 Importing: import, from ... import.
6.2 Standard libraries: math, os, sys, random, datetime, time.
6.3 Installing external libraries with pip.
7. File Handling
7.1 Open and close files (open(), close()).
7.2 Read and write (read(), write(), readlines()).
7.3 Using context managers (with open(...)).
8. Object-Oriented Programming (OOP)
8.1 Classes and objects.
8.2 Methods and attributes.
8.3 Constructor (init).
8.4 Inheritance, polymorphism, encapsulation.
8.5 Special methods (str, repr, etc.).
9. Error and Exception Handling
9.1 try, except, else, finally.
9.2 Raising exceptions (raise).
9.3 Custom exceptions.
10. Comprehensions
10.1 List comprehensions.
10.2 Dictionary comprehensions.
10.3 Set comprehensions.
11. Iterators and Generators
11.1 Creating iterators using iter() and next().
11.2 Generators with yield.
11.3 Generator expressions.
12. Decorators and Closures
12.1 Functions as first-class citizens.
12.2 Nested functions.
12.3 Closures.
12.4 Creating and applying decorators.
13. Advanced Topics
13.1 Context managers (with statement).
13.2 Multithreading and multiprocessing.
13.3 Asynchronous programming with async and await.
13.4 Python's Global Interpreter Lock (GIL).
14. Python Internals
14.1 Mutable vs immutable objects.
14.2 Memory management and garbage collection.
14.3 Python's name == "main" mechanism.
15. Libraries and Frameworks
15.1 Data Science: NumPy, Pandas, Matplotlib, Seaborn.
15.2 Web Development: Flask, Django, FastAPI.
15.3 Testing: unittest, pytest.
15.4 APIs: requests, http.client.
15.5 Automation: selenium, os.
15.6 Machine Learning: scikit-learn, TensorFlow, PyTorch.
16. Tools and Best Practices
16.1 Debugging: pdb, breakpoints.
16.2 Code style: PEP 8 guidelines.
16.3 Virtual environments: venv.
16.4 Version control: Git + GitHub.
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1.Core:
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4.Stashing:
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• git stash list
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• git stash drop
5.Remotes:
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6.Configuration:
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7. Plumbing:
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• git symbolic-ref
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8.Porcelain:
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• git fetch
• git grep
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• git rebase
• git reset
• git show
• git tag
9.Alias:
• git config --global alias.<alias> <command>
10.Hook:
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Git Merge vs Git Rebase
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🌟 Why Java Feels Harder Than C++ Sometimes 🌟
1. Java: Why write one line when you can write 5? Every variable needs its type, every method needs a class.
C++: Write code anywhere. Procedural, OOP, or just chaos. Your call. 🚀
2. Java: Even the simplest main needs a whole public class. 🤡
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4. Java: No unsigned integers. Imagine life without them. Big sad. 😔
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5. Java: Print something? Get ready: System.out.println(). Keyboard workout. ⌨️💪
C++: cout <<. Done faster than you can say “hello world.”
6. Java: Multi-threading? Write a novel and pray the JVM approves. 📚
C++: Threading? Use libraries. Use APIs. DIY is the way.
7. Java: Generics—looks simple but screams at you later. 🤯
C++: Templates are like magic. Dark magic—you’ll debug forever, though.
8. Java: Misspell a package name? Good luck. 📦
C++: Namespaces confuse, but fewer typos.
9. Java: The JVM controls your code and life. 👁️
C++: Compile once, run anywhere—until undefined behavior strikes. 🌀
10. Java: No operators in the name.
C++: The name is an operator. That's how cool it is. 😎
