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Python Programming & AI Resources

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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📈 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 13 137 名订阅者,在 技术与应用 类别中位列第 9 723,并在 印度 地区排名第 32 951

📊 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 13 137 名订阅者。

根据 04 六月, 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 19,过去 24 小时变化为 1,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 15.68%。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 2 060 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 9
  • 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 05 六月, 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。

13 137
订阅者
+124 小时
-77
+1930
帖子存档
Learn Python with Examples 2024.pdf1.98 MB

Python in High School Arnaud Rodin, 2020

IntermediatePython.pdf1.02 MB

Python HandBook

Tune in to the 10th AI Journey 2025 international conference: scientists, visionaries, and global AI practitioners will come
Tune in to the 10th AI Journey 2025 international conference: scientists, visionaries, and global AI practitioners will come together on one stage. Here, you will hear the voices of those who don't just believe in the future—they are creating it! Speakers include visionaries Kai-Fu Lee and Chen Qufan, as well as dozens of global AI gurus! Do you agree with their predictions about AI? On November 20, we will focus on the role of AI in business and economic development and present technologies that will help businesses and developers be more effective by unlocking human potential. On November 21, we will talk about how engineers and scientists are making scientific and technological breakthroughs and creating the future today! The day's program includes presentations by scientists from around the world: - Ajit Abraham (Sai University, India) will present on “Generative AI in Healthcare” - Nebojša Bačanin Džakula (Singidunum University, Serbia) will talk about the latest advances in bio-inspired metaheuristics - AIexandre Ferreira Ramos (University of São Paulo, Brazil) will present his work on using thermodynamic models to study the regulatory logic of transcriptional control at the DNA level - Anderson Rocha (University of Campinas, Brazil) will give a presentation entitled “AI in the New Era: From Basics to Trends, Opportunities, and Global Cooperation”. And in the special AIJ Junior track, we will talk about how AI helps us learn, create and ride the wave with AI. The day will conclude with an award ceremony for the winners of the AI Challenge for aspiring data scientists and the AIJ Contest for experienced AI specialists. The results of an open selection of AIJ Science research papers will be announced. Ride the wave with AI into the future! Tune in to the AI Journey webcast on November 19-21.

Python Basics: Variables & Data Types 🐍📚 🔹 What is a Variable? A variable is a name that stores some value. Think of it like a container that holds data.
x = 10
name = "Alice"
Here: ⦁ x is a variable storing a number ⦁ name is storing text Variables let you reuse values, perform calculations, or manipulate text later in your code. 🔹 Python Rules for Naming Variables ✔ Must start with a letter or underscore (_) ✔ Can contain letters, numbers, and underscores ❌ No spaces or special characters ❌ Can't start with a number ❌ Avoid using keywords like if, while, class Examples:
age = 25      # valid  
_name = "Raj" # valid  
2num = 4      # ❌ invalid  
🔹 Data Types in Python Python automatically assigns a data type based on the value. 1️⃣ Integer → int Whole numbers
x = 5
2️⃣ Float → float Decimal numbers
pi = 3.14
3️⃣ String → str Text in quotes
name = "Sara"
4️⃣ Boolean → bool True or False
is_happy = True
5️⃣ NoneType → None No value
empty = None
🔹 How to Check Data Type? Use the type() function:
print(type(name))  # <class 'str'>
print(type(x))     # <class 'int'>
🔹 Changing or Reassigning Variables
x = 10
x = x + 5  # Now x is 15
You can also change the data type:
x = 100
x = "one hundred"   # Now x is a string
✅ Quick Practice:
a = 3
b = "hello"
c = 5.5
d = True

print(type(a))
print(type(b))
print(type(c))
print(type(d))
💡 Tip: Python is dynamically typed – you don't need to declare the type. React ❤️ for more!

The program for the 10th AI Journey 2025 international conference has been unveiled: scientists, visionaries, and global AI p
The program for the 10th AI Journey 2025 international conference has been unveiled: scientists, visionaries, and global AI practitioners will come together on one stage. Here, you will hear the voices of those who don't just believe in the future—they are creating it! Speakers include visionaries Kai-Fu Lee and Chen Qufan, as well as dozens of global AI gurus from around the world! On the first day of the conference, November 19, we will talk about how AI is already being used in various areas of life, helping to unlock human potential for the future and changing creative industries, and what impact it has on humans and on a sustainable future. On November 20, we will focus on the role of AI in business and economic development and present technologies that will help businesses and developers be more effective by unlocking human potential. On November 21, we will talk about how engineers and scientists are making scientific and technological breakthroughs and creating the future today! Ride the wave with AI into the future! Tune in to the AI Journey webcast on November 19-21.

Python Beginner Roadmap 🐍 📂 Start Here ∟📂 Install Python & VS Code ∟📂 Learn How to Run Python Files 📂 Python Basics ∟📂 Variables & Data Types ∟📂 Input & Output ∟📂 Operators (Arithmetic, Comparison) ∟📂 if, else, elif ∟📂 for & while loops 📂 Data Structures ∟📂 Lists ∟📂 Tuples ∟📂 Sets ∟📂 Dictionaries 📂 Functions ∟📂 Defining & Calling Functions ∟📂 Arguments & Return Values 📂 Basic File Handling ∟📂 Read & Write to Files (.txt) 📂 Practice Projects ∟📌 Calculator ∟📌 Number Guessing Game ∟📌 To-Do List (store in file) 📂 ✅ Move to Next Level (Only After Basics) ∟📂 Learn Modules & Libraries ∟📂 Small Real-World Scripts React "❤️" For More :)

Complete python handwritten Notes 🚀 React ❤️ For More

Python Handwritten Notes 🐍 React ❤️ For More

Building Chatbots with Python

⌨️ 4 Hidden features of Python
⌨️ 4 Hidden features of Python

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

🚀 AI Journey Contest 2025: Test your AI skills! Join our international online AI competition. Register now for the contest!
🚀 AI Journey Contest 2025: Test your AI skills! Join our international online AI competition. Register now for the contest! Award fund — RUB 6.5 mln! Choose your track: · 🤖 Agent-as-Judge — build a universal “judge” to evaluate AI-generated texts. · 🧠 Human-centered AI Assistant — develop a personalized assistant based on GigaChat that mimics human behavior and anticipates preferences. Participants will receive API tokens and a chance to get an additional 1M tokens. · 💾 GigaMemory — design a long-term memory mechanism for LLMs so the assistant can remember and use important facts in dialogue. Why Join Level up your skills, add a strong line to your resume, tackle pro-level tasks, compete for an award, and get an opportunity to showcase your work at AI Journey, a leading international AI conference. How to Join 1. Register here. 2. Choose your track. 3. Create your solution and submit it by 30 October 2025. 🚀 Ready for a challenge? Join a global developer community and show your AI skills!

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Advanced Python Programming Accelerate your Python programs.pdf8.46 MB

Python Tricks Book.pdf1.27 MB

Learn Python in one day.pdf1.28 MB

Goldman Sachs Python Interview Questions 🚀 🚀 Master Python interviews like a pro! 📌 Must-know questions for every Data Analyst & Python Developer — save & practice now!

Goldman Sachs Python Interview Questions .pdf4.76 MB

DSA in Python 👆👆
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DSA in Python 👆👆