¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
Ir al canal en Telegram
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data
Mostrar más📈 Análisis del canal de Telegram Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
El canal Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 56 118 suscriptores, ocupando la posición 2 374 en la categoría Tecnologías y Aplicaciones y el puesto 6 527 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 56 118 suscriptores.
Según los últimos datos del 10 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 89, y en las últimas 24 horas de 1, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.65%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.87% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 485 visualizaciones. En el primer día suele acumular 488 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
- Intereses temáticos: El contenido se centra en temas clave como algorithm, structure, stack, javascript, programming.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 11 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.
56 118
Suscriptores
+124 horas
+317 días
+8930 días
Archivo de publicaciones
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+9
Built-in Data Types in Python 👆
𝟱 𝗙𝗥𝗘𝗘 𝗧𝗲𝗰𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗙𝗿𝗼𝗺 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁, 𝗔𝗪𝗦, 𝗜𝗕𝗠, 𝗖𝗶𝘀𝗰𝗼, 𝗮𝗻𝗱 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱. 😍
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- Artificial Intelligence,
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🔰 Create a PDF file using Python
🔰 R Programming Roadmap for Beginners 2025
├── 🧠 What is R? Why Use It in Data Science?
├── 🖥️ Installing R & RStudio
├── 🔤 Data Types & Variables in R
├── 🔄 Control Structures (if, else, loops)
├── 🧮 Functions in R
├── 📊 Data Frames, Lists, Vectors, Matrices
├── 📂 Reading Data (CSV, Excel, Web)
├── 🧹 Data Cleaning with dplyr
├── 📈 Data Visualization with ggplot2
├── 🧠 Basic Statistics in R
├── 📦 Working with Tidyverse
├── 🔁 Writing Custom Functions & Scripts
├── ⚙️ R Markdown & Report Generation
├── 🧪 R Projects:
│ ├── Covid-19 Data Tracker
│ ├── Movie Ratings Visualizer
│ ├── Sales Dashboard using shiny
#Programming
𝗜𝗻𝗳𝗼𝘀𝘆𝘀 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
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🔰 C++ Roadmap for Beginners 2025
├── 🧠 Introduction to C++ & How It Works
├── 🧰 Setting Up Environment (IDE, Compiler)
├── 📝 Basic Syntax & Structure
├── 🔢 Variables, Data Types & Constants
├── ➕ Operators (Arithmetic, Relational, Logical, Bitwise)
├── 🔁 Flow Control (if, else, switch)
├── 🔄 Loops (for, while, do...while)
├── 🧩 Functions (Declaration, Definition, Recursion)
├── 📦 Arrays, Strings & Vectors
├── 🧱 Pointers & References
├── 🧮 Dynamic Memory Allocation (new, delete)
├── 🏗 Structures & Unions
├── 🏛 Object-Oriented Programming (Classes, Objects, Inheritance, Polymorphism)
├── 📂 File Handling in C++
├── ⚠️ Exception Handling
├── 🧠 STL (Standard Template Library - vector, map, set, etc.)
├── 🧪 Mini Projects (Bank System, Student Record, etc.)
Like for the detailed explanation ❤️
#c++ #programming
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Don't Miss This Opportunity 🤗
I’ve never met an awesome software developer who:
- Thought learning new frameworks was a waste.
- Avoided refactoring because “it already works.”
- Avoided debugging because it was frustrating.
- Never deleted code they once proudly wrote.
- Never pushed code that broke in production.
- Stuck to one programming language forever.
- Stopped learning after getting their first job.
- Didn’t rewrite their code later.
- Only worked on projects that felt safe.
- Refused to ask questions when stuck.
Great developers aren’t perfect.
They take risks.
They make mistakes.
They debug endlessly.
They make wrong estimates.
But during all that, They learn.
And that’s exactly why they grow.
Keep that in mind
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Python is everywhere—web dev, data science, automation, AI…
But where should YOU start if you're a beginner?
Don’t worry. Here’s a 6-step roadmap to master Python the smart way (no fluff, just action)👇
🔹 𝗦𝘁𝗲𝗽 𝟭: Learn the Basics (Don’t Skip This!)
✅ Variables, data types (int, float, string, bool)
✅ Loops (for, while), conditionals (if/else)
✅ Functions and user input
Start with:
Python.org Docs
YouTube: Programming with Mosh / CodeWithHarry
Platforms: W3Schools / SoloLearn / FreeCodeCamp
Spend a week here.
Practice > Theory.
🔹 𝗦𝘁𝗲𝗽 𝟮: Automate Boring Stuff (It’s Fun + Useful!)
✅ Rename files in bulk
✅ Auto-fill forms
✅ Web scraping with BeautifulSoup or Selenium
Read: “Automate the Boring Stuff with Python”
It’s beginner-friendly and practical!
🔹 𝗦𝘁𝗲𝗽 𝟯: Build Mini Projects (Your Confidence Booster)
✅ Calculator app
✅ Dice roll simulator
✅ Password generator
✅ Number guessing game
These small projects teach logic, problem-solving, and syntax in action.
🔹 𝗦𝘁𝗲𝗽 𝟰: Dive Into Libraries (Python’s Superpower)
✅ Pandas and NumPy – for data
✅ Matplotlib – for visualizations
✅ Requests – for APIs
✅ Tkinter – for GUI apps
✅ Flask – for web apps
Libraries are what make Python powerful. Learn one at a time with a mini project.
🔹 𝗦𝘁𝗲𝗽 𝟱: Use Git + GitHub (Be a Real Dev)
✅ Track your code with Git
✅ Upload projects to GitHub
✅ Write clear README files
✅ Contribute to open source repos
Your GitHub profile = Your online CV. Keep it active!
🔹 𝗦𝘁𝗲𝗽 𝟲: Build a Capstone Project (Level-Up!)
✅ A weather dashboard (API + Flask)
✅ A personal expense tracker
✅ A web scraper that sends email alerts
✅ A basic portfolio website in Python + Flask
Pick something that solves a real problem—bonus if it helps you in daily life!
🎯 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝘆𝘁𝗵𝗼𝗻 = 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝗼𝗹𝘃𝗶𝗻𝗴
You don’t need to memorize code. Understand the logic.
Google is your best friend. Practice is your real teacher.
𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
Skills you will gain:-
- Introduction to GenAI
- Chatgpt
- Prompt design
- AI for business solutions
- Prompt Engineering
- Python
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Top 10 Python Concepts
Variables & Data Types
Understand integers, floats, strings, booleans, lists, tuples, sets, and dictionaries.
Control Flow (if, else, elif)
Write logic-based programs using conditional statements.
Loops (for & while)
Automate tasks and iterate over data efficiently.
Functions
Build reusable code blocks with def, understand parameters, return values, and scope.
List Comprehensions
Create and transform lists concisely:
[x*2 for x in range(10) if x % 2 == 0]
Modules & Packages
Import built-in, third-party, or custom modules to structure your code.
Exception Handling
Handle errors using try, except, finally for robust programs.
Object-Oriented Programming (OOP)
Learn classes, objects, inheritance, encapsulation, and polymorphism.
File Handling
Open, read, write, and manage files using open(), read(), write().
Working with Libraries
Use powerful libraries like:
- NumPy for numerical operations
- Pandas for data analysis
- Matplotlib/Seaborn for visualization
- Requests for API calls
- JSON for data parsing
#python
𝗟𝗲𝗮𝗿𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 & 𝗘𝗹𝗲𝘃𝗮𝘁𝗲 𝗬𝗼𝘂𝗿 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗚𝗮𝗺𝗲!😍
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+7
There were a bunch of new methods added to thr Set interface in JavaScript, and here are all of them!
✨ Sets represent a collection of unordered items, and are optimised to quickly find if a particular item exists in a collection or not.
These methods help to reduce a lot of boilerplate code which would be required otherwise!
𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗢𝗻 𝗗𝗲𝘃𝗼𝗽𝘀😍
Get Started with DevOps Without Having to Learn Complex Coding
You don’t need to be a coder to break into DevOps.
𝗘𝗹𝗶𝗴𝗶𝗯𝗶𝗹𝗶𝘁𝘆 :- Students, Freshers & Working Professionals
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𝗗𝗮𝘁𝗲 & 𝗧𝗶𝗺𝗲:- April 9, 2025, at 7 PM
How to convert image to pdf in Python
# Python3 program to convert image to pfd
# using img2pdf library
# importing necessary libraries
import img2pdf
from PIL import Image
import os
# storing image path
img_path = "Input.png"
# storing pdf path
pdf_path = "file_pdf.pdf"
# opening image
image = Image.open(img_path)
# converting into chunks using img2pdf
pdf_bytes = img2pdf.convert(image.filename)
# opening or creating pdf file
file = open(pdf_path, "wb")
# writing pdf files with chunks
file.write(pdf_bytes)
# closing image file
image.close()
# closing pdf file
file.close()
# output
print("Successfully made pdf file")
pip3 install pillow && pip3 install img2pdf