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Python Projects & Free Books

Python Projects & Free Books

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📈 Análisis del canal de Telegram Python Projects & Free Books

El canal Python Projects & Free Books (@pythonfreebootcamp) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 40 926 suscriptores, ocupando la posición 3 337 en la categoría Tecnologías y Aplicaciones y el puesto 10 047 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 926 suscriptores.

Según los últimos datos del 05 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 175, y en las últimas 24 horas de 29, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.03%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.77% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 649 visualizaciones. En el primer día suele acumular 314 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 5.
  • Intereses temáticos: El contenido se centra en temas clave como learning, analyst, framework, link:-, structure.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Python Interview Projects & Free Courses Admin: @Coderfun

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 07 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

40 926
Suscriptores
+2924 horas
+517 días
+17530 días
Archivo de publicaciones
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. 🎯

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⌨️ Create a Progress Bar in Python
⌨️ Create a Progress Bar in Python

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⌨️ Grammar Correction using Python
⌨️ Grammar Correction using Python

⌨️ 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 👍👍

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⌨️ Take Screenshots using Python
⌨️ Take Screenshots using Python

Python Cheatsheet-4.pdf1.53 MB

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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'))