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Python Programming & AI Resources
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β Python Programming Books β Coding Projects β Important Pdfs β Artificial Intelligence Courses β Data Science Notes For promotions: @love_data Buy ads: https://telega.io/c/pythonproz
Show moreπ Analytical overview of Telegram channel Python Programming & AI Resources
Channel Python Programming & AI Resources (@pythonproz) in the English language segment is an active participant. Currently, the community unites 13 137 subscribers, ranking 9 723 in the Technologies & Applications category and 32 951 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 13 137 subscribers.
According to the latest data from 04 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 19 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 15.68%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 060 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 9.
- Thematic interests: Content is focused on key topics such as tuple, comprehension, learning, programming, loop.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
ββ
Python Programming Books
β
Coding Projects
β
Important Pdfs
β
Artificial Intelligence Courses
β
Data Science Notes
For promotions: @love_data
Buy ads: https://telega.io/c/pythonprozβ
Thanks to the high frequency of updates (latest data received on 05 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
13 137
Subscribers
+124 hours
-77 days
+1930 days
Posts Archive
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 futureβthey 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?
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- Ajit Abraham (Sai University, India) will present on βGenerative AI in Healthcareβ
- NebojΕ‘a BaΔanin DΕΎakula (Singidunum University, Serbia) will talk about the latest advances in bio-inspired metaheuristics
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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.
β
Python Basics: Variables & Data Types ππ
πΉ 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"age = 25 # valid
_name = "Raj" # valid
2num = 4 # β invalid x = 5pi = 3.14name = "Sara"is_happy = Trueempty = Noneprint(type(name)) # <class 'str'>
print(type(x)) # <class 'int'>x = 10
x = x + 5 # Now x is 15x = 100
x = "one hundred" # Now x is a stringa = 3
b = "hello"
c = 5.5
d = True
print(type(a))
print(type(b))
print(type(c))
print(type(d))
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 futureβthey 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 π
π Start Here
βπ Install Python & VS Code
βπ Learn How to Run Python Files
π Python Basics
βπ Variables & Data Types
βπ Input & Output
βπ Operators (Arithmetic, Comparison)
βπ if, else, elif
βπ for & while loops
π Data Structures
βπ Lists
βπ Tuples
βπ Sets
βπ Dictionaries
π Functions
βπ Defining & Calling Functions
βπ Arguments & Return Values
π Basic File Handling
βπ Read & Write to Files (.txt)
π Practice Projects
βπ Calculator
βπ Number Guessing Game
βπ To-Do List (store in file)
π β
Move to Next Level (Only After Basics)
βπ Learn Modules & Libraries
βπ Small Real-World Scripts
React "β€οΈ" For More :)
β
50 Must-Know Python Concepts for Interviews ππ
π 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
π Data Structures
7. Lists: Manipulation, indexing, slicing
8. Tuples: Immutability
9. Dictionaries: Key-value pairs
10. Sets: Unique elements
π Object-Oriented Programming (OOP)
11. Classes and Objects
12. Inheritance
13. Polymorphism
14. Encapsulation
π File Handling
15. Opening, reading, writing files
16. Context Managers (with statement)
π Modules & Packages
17. Importing modules
18. Creating and using packages
19. Popular Libraries: NumPy, Pandas, Matplotlib, Scikit-learn
π NumPy
20. Arrays: Creation, indexing, slicing
21. Mathematical Operations
22. Broadcasting
π Pandas
23. Series and DataFrames
24. Data Selection, Filtering
25. Grouping and Aggregation
26. Joining and Merging
27. Handling Missing Data
π Data Cleaning & Preprocessing
28. Handling Missing Values
29. Outlier Detection and Treatment
30. Data Transformation (scaling, normalization)
π Data Visualization
31. Matplotlib: Plots, charts, customizations
32. Seaborn: Statistical visualizations
π Machine Learning Basics
33. Supervised Learning
34. Unsupervised Learning
35. Model Evaluation Metrics
36. Cross-Validation
π Common ML Algorithms
37. Linear Regression
38. Logistic Regression
39. Decision Trees
40. Random Forests
π Advanced Concepts
41. List Comprehensions
42. Generators
43. Decorators
44. Error Handling (try, except)
45. Regular Expressions
π Best Practices
46. Code Style (PEP 8)
47. Documentation
48. Testing
49. Version Control (Git)
π Real-World Scenarios
50. Data Analysis Projects
π‘ Tap β€οΈ for more! #python #coding #interview #datascience #machinelearning #programming
π AI Journey Contest 2025: Test your AI skills!
Join our international online AI competition. Register now for the contest! Award fund β RUB 6.5 mln!
Choose your track:
Β· π€ Agent-as-Judge β build a universal βjudgeβ to evaluate AI-generated texts.
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Β· πΎ GigaMemory β 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.
π Ready for a challenge? Join a global developer community and show your AI skills!
Advanced Python Programming Accelerate your Python programs.pdf8.46 MB
Goldman Sachs Python Interview Questions π
π Master Python interviews like a pro! π Must-know questions for every Data Analyst & Python Developer β save & practice now!
