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Coding Projects
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Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data
Mostrar más📈 Análisis del canal de Telegram Coding Projects
El canal Coding Projects (@programming_experts) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 65 997 suscriptores, ocupando la posición 1 980 en la categoría Tecnologías y Aplicaciones y el puesto 5 218 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 65 997 suscriptores.
Según los últimos datos del 11 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 716, y en las últimas 24 horas de 20, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.00%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.25% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 637 visualizaciones. En el primer día suele acumular 823 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 9.
- Intereses temáticos: El contenido se centra en temas clave como |--, algorithm, array, framework, javascript.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Channel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning
Managed by: @love_data”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 12 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.
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Suscriptores
+2024 horas
+1347 días
+71630 días
Archivo de publicaciones
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𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | Microsoft & AWS included😍
- Microsoft Courses
- IT/Software
- Data Science & ML
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Oldest Programming Languages Still in Use Today 🕰️
📜 Fortran (1957) – Still used in scientific computing
🤖 Lisp (1958) – Powering AI since the start
💼 COBOL (1959) – Running banks & ATMs
🖥 C (1972) – The godfather of modern languages
🗣 Prolog (1972) – Logic programming OG
React ❤️ For More!
65 997
Roadmap to become a Programmer:
📂 Learn Programming Fundamentals (Logic, Syntax, Flow)
∟📂 Choose a Language (Python / Java / C++)
∟📂 Learn Data Structures & Algorithms
∟📂 Learn Problem Solving (LeetCode / HackerRank)
∟📂 Learn OOPs & Design Patterns
∟📂 Learn Version Control (Git & GitHub)
∟📂 Learn Debugging & Testing
∟📂 Work on Real-World Projects
∟📂 Contribute to Open Source
∟✅ Apply for Job / Internship
React ❤️ for More 💡
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𝗧𝗼𝗽 𝗠𝗡𝗖𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 ,𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀😍
Qualification:- Graduation
Salary Range :- 5 To 24LPA
Job Location:- PAN India
𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇:-
https://pdlink.in/42K8l0Q
Select your experience & Complete the Registration Process
Select the company name & apply for the role that matches you
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The key to starting your coding career:
❌It's not your degree
❌It's not your job experience
It's how you apply these principles:
1. Learn by building real projects
2. Create a portfolio that shows your skills
3. Share your work and connect with others
No one starts a coding expert, but everyone can become one.
If you're looking for a career in coding, start by:
⟶ Watching tutorials
⟶ Reading developer blogs
⟶ Doing internships or freelance gigs
⟶ Building projects (even small ones!)
⟶ Learning from senior developers
You'll be amazed at how fast you’ll grow and how quickly you’ll feel confident writing code.
So, start today and let your coding journey begin!
React ❤️ for more helpful tips
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𝗔𝗜 & 𝗠𝗟 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍
Here’s your chance 👉 100% Free Certification Courses 🎓– absolutely FREE!
💡 Learn from industry experts
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🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 𝗡𝗼𝘄 👇:-
https://pdlink.in/3U3eZuq
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10 GitHub Repositories for Python Projects
🔹 The Ultimate Project-Based Python Learning Hub
‣ Top GitHub repo with 230k+ stars of hands-on tutorials.
📎 Link
🔹 Endless Python Project Ideas & Resources
‣ Tons of creative ideas to sharpen your coding skills.
📎 Link
🔹 Real Python’s Hands-On Learning Materials
‣ Bonus content and exercises from Real Python tutorials.
📎 Link
🔹 Curated Project Tutorials for Every Learner
‣ Project-based learning with AI/ML tutorials included.
📎 Link
🔹 Awesome Jupyter: Notebooks, Libraries & More
‣ Boost your Jupyter Notebook skills and workflow.
📎 Link
🔹 Python Mini-Projects for Quick Wins
‣ Fun mini-games and small apps for fast practice.
📎 Link
🔹 100 Practical Python Projects Challenge
‣ Track your progress across 100 real Python projects.
📎 Link
🔹 Data Science Projects for Python Enthusiasts
‣ Beginner-friendly data science project ideas.
📎 Link
🔹 Showcase of Awesome Python Projects
‣ Collection of cool Python projects with guides.
📎 Link
🔹 Python Script Projects from Beginner to Advanced
‣ Step-by-step script projects for all levels.
📎 Link
🤖 AI for the Future || Double Tap ❤️ for More
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𝟯 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟱😍
Upgrade your skills without spending a penny!
1️⃣ AI & ML – https://pdlink.in/3U3eZuq
2️⃣ Data Analytics – https://pdlink.in/4lp7hXQ
3️⃣ Microsoft & AWS – https://pdlink.in/4m3FwTX
🎯 Learn Online | High Value | Certificates Included ✅
65 997
If you want to Excel at using the most used database language in the world, learn these powerful SQL features:
• Wildcards (%, _) – Flexible pattern matching
• Window Functions – ROW_NUMBER(), RANK(), DENSE_RANK(), LEAD(), LAG()
• Common Table Expressions (CTEs) – WITH for better readability
• Recursive Queries – Handle hierarchical data
• STRING Functions – LEFT(), RIGHT(), LEN(), TRIM(), UPPER(), LOWER()
• Date Functions – DATEDIFF(), DATEADD(), FORMAT()
• Pivot & Unpivot – Transform row data into columns
• Aggregate Functions – SUM(), AVG(), COUNT(), MIN(), MAX()
• Joins & Self Joins – Master INNER, LEFT, RIGHT, FULL, SELF JOIN
• Indexing – Speed up queries with CREATE INDEX
Like it if you need a complete tutorial on all these topics! 👍❤️
#sql
65 997
📊𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 - 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 😍
Start learning industry-relevant data skills today at zero cost!
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When to Use Which Programming Language?
C ➝ OS Development, Embedded Systems, Game Engines
C++ ➝ Game Dev, High-Performance Apps, Finance
Java ➝ Enterprise Apps, Android, Backend
C# ➝ Unity Games, Windows Apps
Python ➝ AI/ML, Data, Automation, Web Dev
JavaScript ➝ Frontend, Full-Stack, Web Games
Golang ➝ Cloud Services, APIs, Networking
Swift ➝ iOS/macOS Apps
Kotlin ➝ Android, Backend
PHP ➝ Web Dev (WordPress, Laravel)
Ruby ➝ Web Dev (Rails), Prototypes
Rust ➝ System Apps, Blockchain, HPC
Lua ➝ Game Scripting (Roblox, WoW)
R ➝ Stats, Data Science, Bioinformatics
SQL ➝ Data Analysis, DB Management
TypeScript ➝ Scalable Web Apps
Node.js ➝ Backend, Real-Time Apps
React ➝ Modern Web UIs
Vue ➝ Lightweight SPAs
Django ➝ AI/ML Backend, Web Dev
Laravel ➝ Full-Stack PHP
Blazor ➝ Web with .NET
Spring Boot ➝ Microservices, Java Enterprise
Ruby on Rails ➝ MVPs, Startups
HTML/CSS ➝ UI/UX, Web Design
Git ➝ Version Control
Linux ➝ Server, Security, DevOps
DevOps ➝ Infra Automation, CI/CD
CI/CD ➝ Testing + Deployment
Docker ➝ Containerization
Kubernetes ➝ Cloud Orchestration
Microservices ➝ Scalable Backends
Selenium ➝ Web Testing
Playwright ➝ Modern Web Automation
Credits: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
ENJOY LEARNING 👍👍
65 997
𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 😍
𝗟𝗲𝗮𝗿𝗻 𝗖𝗼𝗱𝗶𝗻𝗴 & 𝗚𝗲𝘁 𝗣𝗹𝗮𝗰𝗲𝗱 𝗜𝗻 𝗧𝗼𝗽 𝗠𝗡𝗖𝘀
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15 Coding Project Ideas 🚀
Beginner Level:
1. 🗂️ File Organizer Script
2. 🧾 Expense Tracker (CLI or GUI)
3. 🔐 Password Generator
4. 📅 Simple Calendar App
5. 🕹️ Number Guessing Game
Intermediate Level:
6. 📰 News Aggregator using API
7. 📧 Email Sender App
8. 🗳️ Polling/Voting System
9. 🧑🎓 Student Management System
10. 🏷️ URL Shortener
Advanced Level:
11. 🗣️ Real-Time Chat App (with backend)
12. 📦 Inventory Management System
13. 🏦 Budgeting App with Charts
14. 🏥 Appointment Booking System
15. 🧠 AI-powered Text Summarizer
Credits: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
React ❤️ for more
65 997
🔥 𝗦𝗸𝗶𝗹𝗹 𝗨𝗽 𝗕𝗲𝗳𝗼𝗿𝗲 𝟮𝟬𝟮𝟱 𝗘𝗻𝗱𝘀!
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𝗘𝗻𝗿𝗼𝗹𝗹 𝗶𝗻 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀👇:-
https://linkpd.in/freeskills
Get Certified & Stay Ahead🎓
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📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼 𝗰𝗹𝗮𝘀𝘀 𝗶𝗻 𝗛𝘆𝗱𝗲𝗿𝗮𝗯𝗮𝗱/𝗣𝘂𝗻𝗲 😍
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65 997
Here's a concise cheat sheet to help you get started with Python for Data Analytics. This guide covers essential libraries and functions that you'll frequently use.
1. Python Basics
- Variables:
x = 10
y = "Hello"
- Data Types:
- Integers: x = 10
- Floats: y = 3.14
- Strings: name = "Alice"
- Lists: my_list = [1, 2, 3]
- Dictionaries: my_dict = {"key": "value"}
- Tuples: my_tuple = (1, 2, 3)
- Control Structures:
- if, elif, else statements
- Loops:
for i in range(5):
print(i)
while x < 5:
print(x)
x += 1
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
arr = np.array([1, 2, 3, 4])
arr.sum()
arr.mean()
arr.reshape((2, 2))
arr[0:2] # First two elements
df = pd.DataFrame({
'col1': [1, 2, 3],
'col2': ['A', 'B', 'C']
})
df = pd.read_csv('file.csv')
df.head() # First 5 rows
df.describe() # Summary statistics
df.info() # DataFrame info
df['col1']
df[['col1', 'col2']]
df[df['col1'] > 2]
df.dropna() # Drop missing values
df.fillna(0) # Replace missing values
df.groupby('col2').mean()
plt.plot(df['col1'], df['col2'])
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Title')
plt.show()
sns.histplot(df['col1'])
sns.boxplot(x='col1', y='col2', data=df)
pd.merge(df1, df2, on='key')
df.pivot_table(index='col1', columns='col2', values='col3')
df['col1'].apply(lambda x: x*2)
df['col1'].mean()
df['col1'].median()
df['col1'].std()
df.corr()
