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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
Больше📈 Аналитический обзор Telegram-канала Coding Projects
Канал Coding Projects (@programming_experts) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 65 997 подписчиков, занимая 1 980 место в категории Технологии и приложения и 5 218 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 65 997 подписчиков.
Согласно последним данным от 11 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 716, а за последние 24 часа — 20, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 4.00%. В первые 24 часа после публикации контент обычно набирает 1.25% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 637 просмотров. В течение первых суток публикация набирает 823 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 9.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как |--, algorithm, array, framework, javascript.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Channel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning
Managed by: @love_data”
Благодаря высокой частоте обновлений (последние данные получены 12 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
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Подписчики
+2024 часа
+1347 дней
+71630 день
Архив постов
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𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | Microsoft & AWS included😍
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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😍
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Salary Range :- 5 To 24LPA
Job Location:- PAN India
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Select your experience & Complete the Registration Process
Select the company name & apply for the role that matches you
65 997
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
65 997
𝗔𝗜 & 𝗠𝗟 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍
Here’s your chance 👉 100% Free Certification Courses 🎓– absolutely FREE!
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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
65 997
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 😍
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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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65 997
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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Get Certified & Stay Ahead🎓
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📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼 𝗰𝗹𝗮𝘀𝘀 𝗶𝗻 𝗛𝘆𝗱𝗲𝗿𝗮𝗯𝗮𝗱/𝗣𝘂𝗻𝗲 😍
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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()
