Python Projects & Free Books
前往频道在 Telegram
📈 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 40 908 名订阅者,在 技术与应用 类别中位列第 3 337,并在 印度 地区排名第 10 047 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 40 908 名订阅者。
根据 05 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 175,过去 24 小时变化为 29,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 4.03%。内容发布后 24 小时内通常能获得 0.77% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 649 次浏览,首日通常累积 314 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 5。
- 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 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。
40 908
订阅者
+2924 小时
+517 天
+17530 天
帖子存档
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Essentials for Acing any Data Analytics Interviews-
SQL:
1. Beginner
- Fundamentals: SELECT, WHERE, ORDER BY, GROUP BY, HAVING
- Essential JOINS: INNER, LEFT, RIGHT, FULL
- Basics of database and table creation
2. Intermediate
- Aggregate functions: COUNT, SUM, AVG, MAX, MIN
- Subqueries and nested queries
- Common Table Expressions with the WITH clause
- Conditional logic in queries using CASE statements
3. Advanced
- Complex JOIN techniques: self-join, non-equi join
- Window functions: OVER, PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, lead, lag
- Query optimization through indexing
- Manipulating data: INSERT, UPDATE, DELETE
Python:
1. Basics
- Understanding syntax, variables, and data types: integers, floats, strings, booleans
- Control structures: if-else, loops (for, while)
- Core data structures: lists, dictionaries, sets, tuples
- Functions and error handling: lambda functions, try-except
- Using modules and packages
2. Pandas & Numpy
- DataFrames and Series: creation and manipulation
- Techniques: indexing, selecting, filtering
- Handling missing data with fillna and dropna
- Data aggregation: groupby, data summarizing
- Data merging techniques: merge, join, concatenate
3. Visualization
- Plotting basics with Matplotlib: line plots, bar plots, histograms
- Advanced visualization with Seaborn: scatter plots, box plots, pair plots
- Plot customization: sizes, labels, legends, colors
- Introduction to interactive visualizations with Plotly
Excel:
1. Basics
- Cell operations and basic formulas: SUMIFS, COUNTIFS, AVERAGEIFS
- Charts and introductory data visualization
- Data sorting and filtering, Conditional formatting
2. Intermediate
- Advanced formulas: V/XLOOKUP, INDEX-MATCH, complex IF scenarios
- Summarizing data with PivotTables and PivotCharts
- Tools for data validation and what-if analysis: Data Tables, Goal Seek
3. Advanced
- Utilizing array formulas and sophisticated functions
- Building a Data Model & using Power Pivot
- Advanced filtering, Slicers and Timelines in Pivot Tables
- Crafting dynamic charts and interactive dashboards
Power BI:
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- Importing data from diverse sources
- Creating and managing dataset relationships
- Data modeling essentials: star schema, snowflake schema
2. Data Transformation
- Data cleaning and transformation with Power Query
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- Implementing calculated columns and measures with DAX
3. Data Visualization and Reporting
- Developing interactive reports and dashboards
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Statistics:
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FREE RESOURCES TO LEARN PYTHON
👇👇
Free Udacity Course to learn Python
https://imp.i115008.net/5bK93j
Data Structure and OOPS in Python Free Courses
https://bit.ly/3t1WEBt
Free Certified Python course by Freecodecamp
https://www.freecodecamp.org/learn/scientific-computing-with-python/
Free Python Course from Google
https://developers.google.com/edu/python
Free Python Tutorials from Kaggle
https://www.kaggle.com/learn/python
Python hands-on Project
https://t.me/Programming_experts/23
Free Python Books Collection
https://cfm.ehu.es/ricardo/docs/python/Learning_Python.pdf
https://static.realpython.com/python-basics-sample-chapters.pdf
👨💻Websites to Practice Python
1. http://codingbat.com/python
2. https://www.hackerrank.com/
3. https://www.hackerearth.com/practice/
4. https://projecteuler.net/archives
5. http://www.codeabbey.com/index/task_list
6. http://www.pythonchallenge.com/
Beginner's guide to Python Free Book
https://t.me/pythondevelopersindia/144
Official Documentation
https://docs.python.org/3/
Join @free4unow_backup for more free courses
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4 Python practical projects to do for freshers in data analytics
🧵⬇️
1️⃣ Exploratory Data Analysis (EDA) on a Public Dataset
Use a dataset from Kaggle or data.gov
Clean and preprocess the data
Perform statistical analysis and visualization
Draw insights and present findings
2️⃣ Stock Market Analysis Tool
Fetch real-time stock data using an API (e.g., yfinance)
Implement technical indicators (e.g., moving averages, RSI)
Create visualizations of stock performance
Build a simple prediction model
3️⃣ Social Media Sentiment Analysis
Collect tweets or Reddit posts using APIs
Preprocess text data
Perform sentiment analysis
Visualize sentiment trends over time
4️⃣ Customer Churn Prediction
Use a telecom or e-commerce dataset
Perform feature engineering
Build and compare multiple machine learning models
Evaluate model performance and interpret results
Hope it helps :)
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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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现已上线!2025 年 Telegram 研究 — 年度关键洞察 
