Coding Projects

Kanalga Telegram’da o‘tish

Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data

Ko'proq ko'rsatish

Tarmoq:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert Hindiston5 218 Texnologiyalar & Aralashmalar1 980...

📈 Telegram kanali Coding Projects analitikasi

Coding Projects (@programming_experts) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 65 997 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 1 980-o'rinni va Hindiston mintaqasida 5 218-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 65 997 obunachiga ega bo‘ldi.

11 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 716 ga, so‘nggi 24 soatda esa 20 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 4.00% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.25% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 2 637 marta ko‘riladi; birinchi sutkada odatda 823 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 9 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent |--, algorithm, array, framework, javascript kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 12 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

65 997

Obunachilar

+2024 soatlar

+1347 kunlar

+71630 kunlar

2 637

Post ko'rishlar

~ 82324 soatlar

~ 1 09348 soatlar

4.00%

Muloqot nisbati

~ 1

Kuniga postlar

Ads index

beta

Postlar arxiv

65 997

𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | Microsoft & AWS included😍 - Microsoft Courses - IT/Software - Data Science & ML - AI & Generative AI - Management - Cyber Security - Cloud Computing 𝗘𝗻𝗿𝗼𝗹𝗹 𝗡𝗼𝘄 & 𝗚𝗲𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱👇:- https://pdlink.in/48wVJ0O Prep for jobs with AI mock interviews & resume builder

65 997

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 💡

65 997

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

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! 💡 Learn from industry experts 📜 Get certificates that add value to your profile 🚀 Build real-world projects 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 𝗡𝗼𝘄 👇:- https://pdlink.in/3U3eZuq 🚀 Limited seats available – Enroll For FREE now!

65 997

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

DSA Handwritten Notes

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 😍 Start learning industry-relevant data skills today at zero cost! ✅ 100% FREE Certification ✅ Learn Data Analysis, Excel, SQL, Power BI & more ✅ Boost your resume with job-ready skills 🚀 Perfect for Students, Freshers & Career Switchers 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4lp7hXQ 🎓 Enroll Now & Get Certified

65 997

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 Eligibility:- BE/BTech / BCA / BSc 🌟 2000+ Students Placed 🤝 500+ Hiring Partners 💼 Avg. Rs. 7.4 LPA 🚀 41 LPA Highest Package 𝗕𝗼𝗼𝗸 𝗮 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼👇:- 𝗢𝗻𝗹𝗶𝗻𝗲 :- https://pdlink.in/4hO7rWY 🔹 Hyderabad :- https://pdlink.in/4cJUWtx 🔹 Pune :- https://pdlink.in/3YA32zi 🔹 Noida :- https://linkpd.in/NoidaFSD ( Hurry Up 🏃‍♂️Limited Slots )

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! 🎓 100% FREE Online Courses in ✔️ AI ✔️ Data Science ✔️ Cloud Computing ✔️ Cyber Security ✔️ Python 𝗘𝗻𝗿𝗼𝗹𝗹 𝗶𝗻 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀👇:- https://linkpd.in/freeskills Get Certified & Stay Ahead🎓

65 997

DSA Handwritten Notes

65 997

📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼 𝗰𝗹𝗮𝘀𝘀 𝗶𝗻 𝗛𝘆𝗱𝗲𝗿𝗮𝗯𝗮𝗱/𝗣𝘂𝗻𝗲 😍 🔥 Learn Data Analytics with Real-time Projects ,Hands-on Tools ✨ Highlights: ✅ 100% Placement Support ✅ 500+ Hiring Partners ✅ Weekly Hiring Drives 𝗕𝗼𝗼𝗸 𝗮 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼👇:- 🔹 Hyderabad :- https://pdlink.in/4kFhjn3 🔹 Pune:- https://pdlink.in/45p4GrC 🔹 Noida :- https://linkpd.in/DaNoida Hurry Up 🏃‍♂️! Limited seats are available.

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 loop:

    while x < 5:
        print(x)
        x += 1

2. Importing Libraries - NumPy:

  import numpy as np

- Pandas:

  import pandas as pd

- Matplotlib:

  import matplotlib.pyplot as plt

- Seaborn:

  import seaborn as sns

3. NumPy for Numerical Data - Creating Arrays:

  arr = np.array([1, 2, 3, 4])

- Array Operations:

  arr.sum()
  arr.mean()

- Reshaping Arrays:

  arr.reshape((2, 2))

- Indexing and Slicing:

  arr[0:2]  # First two elements

4. Pandas for Data Manipulation - Creating DataFrames:

  df = pd.DataFrame({
      'col1': [1, 2, 3],
      'col2': ['A', 'B', 'C']
  })

- Reading Data:

  df = pd.read_csv('file.csv')

- Basic Operations:

  df.head()          # First 5 rows
  df.describe()      # Summary statistics
  df.info()          # DataFrame info

- Selecting Columns:

  df['col1']
  df[['col1', 'col2']]

- Filtering Data:

  df[df['col1'] > 2]

- Handling Missing Data:

  df.dropna()        # Drop missing values
  df.fillna(0)       # Replace missing values

- GroupBy:

  df.groupby('col2').mean()

5. Data Visualization - Matplotlib:

  plt.plot(df['col1'], df['col2'])
  plt.xlabel('X-axis')
  plt.ylabel('Y-axis')
  plt.title('Title')
  plt.show()

- Seaborn:

  sns.histplot(df['col1'])
  sns.boxplot(x='col1', y='col2', data=df)

6. Common Data Operations - Merging DataFrames:

  pd.merge(df1, df2, on='key')

- Pivot Table:

  df.pivot_table(index='col1', columns='col2', values='col3')

- Applying Functions:

  df['col1'].apply(lambda x: x*2)

7. Basic Statistics - Descriptive Stats:

  df['col1'].mean()
  df['col1'].median()
  df['col1'].std()

- Correlation:

  df.corr()

This cheat sheet should give you a solid foundation in Python for data analytics. As you get more comfortable, you can delve deeper into each library's documentation for more advanced features. I have curated the best resources to learn Python 👇👇 https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L Hope you'll like it Like this post if you need more resources like this 👍❤️