ch
Feedback
Python Projects & Free Books

Python Projects & Free Books

前往频道在 Telegram

Python Interview Projects & Free Courses Admin: @Coderfun

显示更多

📈 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 40 804 名订阅者,在 技术与应用 类别中位列第 3 176,并在 印度 地区排名第 9 408

📊 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 40 804 名订阅者。

根据 28 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 -72,过去 24 小时变化为 0,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 3.40%。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 1 388 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 1
  • 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 29 八月, 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。

Buy Ad
40 804
订阅者
无数据24 小时
-547
-7230
帖子存档
⌨️ Encrypt PDF files using Python
⌨️ Encrypt PDF files using Python

⌨️ Video to GIF in Python
⌨️ Video to GIF in Python

Complete Roadmap to learn DSA in 30 days Day 1-5: Introduction to Data Structures and Algorithms - Understand the importance of DSA in programming - Learn about different types of data structures (arrays, linked lists, stacks, queues, trees, graphs) - Study basic algorithms like searching and sorting Day 6-10: Arrays and Strings - Dive deeper into arrays and strings - Learn about common operations and algorithms on arrays and strings - Practice solving problems related to arrays and strings Day 11-15: Linked Lists - Study linked lists and their variations (singly linked list, doubly linked list, circular linked list) - Implement basic operations on linked lists - Solve problems involving linked lists Day 16-20: Stacks and Queues - Learn about stacks and queues and their applications - Implement stack and queue data structures - Solve problems using stacks and queues Day 21-25: Trees and Graphs - Study binary trees, binary search trees, AVL trees, heaps, and graphs - Understand traversal algorithms (inorder, preorder, postorder) for trees - Implement basic graph algorithms (DFS, BFS) - Solve problems related to trees and graphs Day 26-30: Advanced Topics - Study advanced data structures like hash tables, tries, segment trees - Learn about dynamic programming, backtracking, and divide and conquer algorithms - Practice solving complex problems that require a combination of data structures and algorithms Throughout the 30 days, make sure to practice regularly by solving coding problems on platforms like LeetCode, HackerRank, or Codeforces. Additionally, review your concepts regularly and seek out resources like online tutorials, textbooks, and study groups to deepen your understanding of DSA. 5⃣ Free DSA resources to crack coding interview 👉 GeekforGeeks 👉 Leetcode 👉 Hackerrank 👉 DSA Resources 👉 FreeCodeCamp Join for more free resources: https://t.me/free4unow_backup ENJOY LEARNING 👍👍

👉🏻 DO LIKE IF YOU WANT MORE CONTENT LIKE THIS FOR FREE 🆓

⌨️ Take Screenshots using Python
⌨️ Take Screenshots using Python

Python Cheatsheet-4.pdf1.53 MB

✅ Best Telegram channels to get free coding & data science resources https://t.me/addlist/ID95piZJZa0wYzk5 ✅ Free Courses with Certificate: https://t.me/free4unow_backup

AI will create 97 Million jobs by 2025! As AI revolutionises industries and transforms job markets, staying ahead means maste
AI will create 97 Million jobs by 2025! As AI revolutionises industries and transforms job markets, staying ahead means mastering essential skills. Upskill with IIT Mandi's AI/ML course, taught by IIT professors, and secure : ✅ 24 Program Credits ✅ Assured Placement Assistance ✅ Live Lectures from IIT Mandi Professors So what are you waiting for? This is your chance to stay ahead! Apply now and secure your future: https://epcw.short.gy/DPK_DataScience_AIML

python pattern notes.pdf1.57 MB

Top 16 Python Projects
Top 16 Python Projects

⌨️ List Comprehension in Python
⌨️ List Comprehension in Python

⌨️ Generate Barcode using Python
⌨️ Generate Barcode using Python

Take Screenshots using Python
Take Screenshots using Python

🖥 How to hide secret text inside an image using Python? Nothing complicated, you just need the Stegano library: # pip instal
🖥 How to hide secret text inside an image using Python? Nothing complicated, you just need the Stegano library:
# pip install stegano

from stegano import lsb
secret = lsb.hide('image.png', 'very secret text')
secret.save('secret_image.png')

print(lsb.reveal('secret_image.png'))

⌨️ Hide secret message in Image using Python
⌨️ Hide secret message in Image using Python

Here are some of the most popular python project ideas: 💡 Simple Calculator Text-Based Adventure Game Number Guessing Game Password Generator Dice Rolling Simulator Mad Libs Generator Currency Converter Leap Year Checker Word Counter Quiz Program Email Slicer Rock-Paper-Scissors Game Web Scraper (Simple) Text Analyzer Interest Calculator Unit Converter Simple Drawing Program File Organizer BMI Calculator Tic-Tac-Toe Game To-Do List Application Inspirational Quote Generator Task Automation Script Simple Weather App Automate data cleaning and analysis (EDA) Sales analysis Sentiment analysis Price prediction Customer Segmentation Time series forecasting Image classification Spam email detection Credit card fraud detection Market basket analysis NLP, etc These are just starting points. Feel free to explore, combine ideas, and personalize your projects based on your interest and skills. 🎯

fluent-python-2015-.pdf17.53 MB

photo content

Python Tip for the day: Use the "enumerate" function to iterate over a sequence and get the index of each element. Sometimes when you're iterating over a list or other sequence in Python, you need to keep track of the index of the current element. One way to do this is to use a counter variable and increment it on each iteration, but this can be tedious and error-prone. A better way to get the index of each element is to use the built-in "enumerate" function. The "enumerate" function takes an iterable (such as a list or tuple) as its argument and returns a sequence of (index, value) tuples, where "index" is the index of the current element and "value" is the value of the current element. Here's an example:
 Iterate over a list of strings and print each string with its index
strings = ['apple', 'banana', 'cherry', 'date']
for i, s in enumerate(strings):
    print(f"{i}: {s}")

In this example, we use the "enumerate" function to iterate over a list of strings. On each iteration, the "enumerate" function returns a tuple containing the index of the current string and the string itself. We use tuple unpacking to assign these values to the variables "i" and "s", and then print out the index and string on a separate line. The output of this code would be:
 apple
1: banana
2: cherry
3: date

Using the "enumerate" function can make your code more concise and easier to read, especially when you need to keep track of the index of each element in a sequence.