Python Projects & Free Books
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📈 Telegram 频道 Python Projects & Free Books 的分析概览
频道 Python Projects & Free Books (@pythonfreebootcamp) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 40 655 名订阅者,在 技术与应用 类别中位列第 3 224,并在 印度 地区排名第 9 418 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 40 655 名订阅者。
根据 05 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 -135,过去 24 小时变化为 -12,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 3.58%。内容发布后 24 小时内通常能获得 0.78% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 455 次浏览,首日通常累积 316 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 learning, analyst, framework, link:-, structure 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 Interview Projects & Free Courses
Admin: @Coderfun”
凭借高频更新(最新数据采集于 06 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。
40 655
订阅者
-1224 小时
-597 天
-13530 天
帖子存档
🎯 GigaChat 3.5 Reasoning: 5 Key Features
1️⃣ Advanced Reasoning: Explores multiple step-by-step paths, using automated verification to reinforce correct answers and self-correct
2️⃣ Autonomous Tool Usage: Independently decides when to call external APIs or revise earlier steps
3️⃣ Linear Attention: Proprietary architecture retains key context points without re-matching from scratch
4️⃣ Token Economy: Uses 37% fewer tokens than DeepSeek V4 Flash Preview on math problems
5️⃣ Proven Performance: Open-source LLM (built on GigaChat 3.5 Ultra) with massive benchmark gains:
• IFBench: 44 → 77
• Natural Plan: 64 → 80
• LiveCodeBench v6: 56 → 85
🔗 MIT License. Weights on Hugging Face: fp8 | bf16
Let’s dive into our first mini project using Python:
Project 1: Number Guessing Game 🎯
Goal:
The computer randomly picks a number between 1 and 100.
The user has to guess it — and the program gives hints like “Too High” or “Too Low” until the user gets it right.
Code:
import random
number_to_guess = random.randint(1, 100)
guess = None
attempts = 0
print("Welcome to the Number Guessing Game!")
print("I'm thinking of a number between 1 and 100.")
while guess != number_to_guess:
guess = int(input("Enter your guess: "))
attempts += 1
if guess < number_to_guess:
print("Too low! Try again.")
elif guess > number_to_guess:
print("Too high! Try again.")
else:
print(f"Congratulations! You guessed it in {attempts} tries.")
Concepts used:
• random.randint() for generating numbers
• Taking user input using input() & converting input to integers
• Using while loops and if-else logic
React with ♥️ for the next project
Important Python Concepts: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/1441
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🐍 Python Roadmap
1️⃣ Basics: 📝📜 Syntax, Variables, Data Types
2️⃣ Control Flow: 🔄🤖 If-Else, Loops, Functions
3️⃣ Data Structures: 🗂️🔢 Lists, Tuples, Dictionaries, Sets
4️⃣ OOP in Python: 📦🎭 Classes, Inheritance, Decorators
5️⃣ File Handling: 📄📂 Read/Write, JSON, CSV
6️⃣ Modules & Libraries: 📦🚀 NumPy, Pandas, Matplotlib
7️⃣ Web Development: 🌍🔧 Flask, Django, FastAPI
8️⃣ Automation & Scripting: 🤖🛠️ Web Scraping, Selenium, Bash Scripting
9️⃣ Machine Learning: 🧠📈 TensorFlow, Scikit-learn, PyTorch
🔟 Projects & Practice: 📂🎯 Create apps, scripts, and contribute to open source
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Week 1: Python Basics
• Install Python and VS Code
• Learn variables, data types, input, output
• Practice arithmetic and string operations
• Write 10 small programs
Example: Calculator, temperature converter
Week 2: Control Flow
• Learn if, else, elif
• Learn for and while loops
• Use break and continue
• Solve 20 logic problems
Example: Number guessing game
Week 3: Data Structures
• Lists, tuples, sets, dictionaries
• Indexing, slicing, methods
• Loop through collections
• Solve real problems
Example: Student marks analysis
Week 4: Functions and Modules
• Define functions
• Use parameters and return values
• Learn lambda functions
• Import built-in modules
Example: Reusable math utility
Week 5: Strings and File Handling
• String methods and formatting
• Read and write files
• Handle CSV and text files
• Build small file-based programs
Example: Log file analyzer
Week 6: Error Handling and Debugging
• Learn try, except, finally
• Understand common errors
• Use print and debugger
• Fix broken programs
Example: Robust input validator
Week 7: Object-Oriented Programming
• Classes and objects
• Constructors and methods
• Inheritance and encapsulation
• Build simple class-based apps
Example: Bank account system
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• datetime, math, random
• os and sys basics
• Work with JSON
• Write utility scripts
Example: Automated folder organizer
Week 9: Working with External Packages
• Learn pip and virtual environments
• Use requests library
• Basic API calls
• Handle API responses
Example: Weather app using API
Week 10: Data Handling Basics
• Intro to NumPy
• Intro to Pandas
• Read CSV and Excel files
• Basic data cleaning
Example: Sales data summary
Week 11: Mini Projects
• Build 2 small projects
• Focus on logic and structure
• Write clean, readable code
Examples:
• To-do list app
• Expense tracker
Week 12: Final Project and Revision
• Build one end-to-end project
• Revise core concepts
• Practice interview-style questions
Example projects:
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• Data analysis mini project
Daily Rule for You:
• Code at least 60 minutes
• Solve 5 problems daily
• Rewrite old code weekly
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Here are some tricky🧩 SQL interview questions!
1. Find the second-highest salary in a table without using LIMIT or TOP.
2. Write a SQL query to find all employees who earn more than their managers.
3. Find the duplicate rows in a table without using GROUP BY.
4. Write a SQL query to find the top 10% of earners in a table.
5. Find the cumulative sum of a column in a table.
6. Write a SQL query to find all employees who have never taken a leave.
7. Find the difference between the current row and the next row in a table.
8. Write a SQL query to find all departments with more than one employee.
9. Find the maximum value of a column for each group without using GROUP BY.
10. Write a SQL query to find all employees who have taken more than 3 leaves in a month.
These questions are designed to test your SQL skills, including your ability to write efficient queries, think creatively, and solve complex problems.
Here are the answers to these questions:
1. SELECT MAX(salary) FROM table WHERE salary NOT IN (SELECT MAX(salary) FROM table)
2. SELECT e1.* FROM employees e1 JOIN employees e2 ON e1.manager_id = (link unavailable) WHERE e1.salary > e2.salary
3. SELECT * FROM table WHERE rowid IN (SELECT rowid FROM table GROUP BY column HAVING COUNT(*) > 1)
4. SELECT * FROM table WHERE salary > (SELECT PERCENTILE_CONT(0.9) WITHIN GROUP (ORDER BY salary) FROM table)
5. SELECT column, SUM(column) OVER (ORDER BY rowid) FROM table
6. SELECT * FROM employees WHERE id NOT IN (SELECT employee_id FROM leaves)
7. SELECT *, column - LEAD(column) OVER (ORDER BY rowid) FROM table
8. SELECT department FROM employees GROUP BY department HAVING COUNT(*) > 1
9. SELECT MAX(column) FROM table WHERE column NOT IN (SELECT MAX(column) FROM table GROUP BY group_column)
Here you can find essential SQL Interview Resources👇
https://t.me/mysqldata
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15 Best Project Ideas for Python : 🐍
🚀 Beginner Level:
1. Simple Calculator
2. To-Do List
3. Number Guessing Game
4. Dice Rolling Simulator
5. Word Counter
🌟 Intermediate Level:
6. Weather App
7. URL Shortener
8. Movie Recommender System
9. Chatbot
10. Image Caption Generator
🌌 Advanced Level:
11. Stock Market Analysis
12. Autonomous Drone Control
13. Music Genre Classification
14. Real-Time Object Detection
15. Natural Language Processing (NLP) Sentiment Analysis
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🐍 𝐏𝐲𝐭𝐡𝐨𝐧 𝐟𝐞𝐥𝐭 𝐢𝐦𝐩𝐨𝐬𝐬𝐢𝐛𝐥𝐞 𝐚𝐭 𝐟𝐢𝐫𝐬𝐭, 𝐛𝐮𝐭 𝐭𝐡𝐞𝐬𝐞 𝟗 𝐬𝐭𝐞𝐩𝐬 𝐜𝐡𝐚𝐧𝐠𝐞𝐝 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠!
.
.
1️⃣ 𝐌𝐚𝐬𝐭𝐞𝐫𝐞𝐝 𝐭𝐡𝐞 𝐁𝐚𝐬𝐢𝐜𝐬: Started with foundational Python concepts like variables, loops, functions, and conditional statements.
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3️⃣ 𝐅𝐨𝐥𝐥𝐨𝐰𝐞𝐝 𝐏𝐲𝐭𝐡𝐨𝐧-𝐒𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬: Studied essential problem-solving techniques for Python, like list comprehensions, dictionary manipulations, and lambda functions.
4️⃣ 𝐋𝐞𝐚𝐫𝐧𝐞𝐝 𝐊𝐞𝐲 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: Explored popular libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.
5️⃣ 𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐨𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: Built small projects like a to-do app, calculator, or data visualization dashboard to apply concepts.
6️⃣ 𝐖𝐚𝐭𝐜𝐡𝐞𝐝 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥𝐬: Followed creators like CodeWithHarry and Shradha Khapra for in-depth Python tutorials.
7️⃣ 𝐃𝐞𝐛𝐮𝐠𝐠𝐞𝐝 𝐑𝐞𝐠𝐮𝐥𝐚𝐫𝐥𝐲: Made it a habit to debug and analyze code to understand errors and optimize solutions.
8️⃣ 𝐉𝐨𝐢𝐧𝐞𝐝 𝐌𝐨𝐜𝐤 𝐂𝐨𝐝𝐢𝐧𝐠 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬: Participated in coding challenges to simulate real-world problem-solving scenarios.
9️⃣ 𝐒𝐭𝐚𝐲𝐞𝐝 𝐂𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐭: Practiced daily, worked on diverse problems, and never skipped Python for more than a day.
I have curated the best interview resources to crack Python Interviews 👇👇
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
Hope you'll like it
Like this post if you need more resources like this 👍❤️
#Python
If you work with Python, remember a simple rule: do not modify a list while iterating over it. 🐍🛑 This can lead to unexpected results because the iterator does not track structural changes.
Here is an example that looks logical but works incorrectly: 🤔
items = [1, 2, 2, 3, 4]
for item in items:
if item == 2:
items.remove(item)
print(items)
# Output: [1, 2, 3, 4]
It seems that all 2s should disappear, but one remains. ❓ Why?
After removing an element, the list shifts, but the loop moves on — as a result, some values are simply skipped. 🔄🚫
How to do it correctly — iterate over a copy: ✅
for item in items[:]:
if item == 2:
items.remove(item)
print(items)
# Output: [1, 3, 4]
Even better — use list comprehension: 🚀
items = [x for x in items if x != 2]
Conclusion: 🏁 do not modify a collection during iteration. This can lead to skipped elements, duplication, or even errors during execution. 🛠️🚧
#Python #Coding #Programming #Debugging #TechTips #PythonTipsPython Basics Arrays & Loops 🐍
Essential you need to start strong 💪
https://t.me/pythonRe 🔗
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