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
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📈 Analytical overview of Telegram channel Coding Projects
Channel Coding Projects (@programming_experts) in the English language segment is an active participant. Currently, the community unites 67 949 subscribers, ranking 1 912 in the Technologies & Applications category and 4 646 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 67 949 subscribers.
According to the latest data from 05 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 46 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 3.29%. Within the first 24 hours after publication, content typically collects 1.01% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 234 views. Within the first day, a publication typically gains 685 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as |--, algorithm, array, framework, javascript.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Channel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning
Managed by: @love_data”
Thanks to the high frequency of updates (latest data received on 06 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
67 949
Subscribers
+1124 hours
+297 days
+4630 days
Posts Archive
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𝗧𝗼𝗽 𝗣𝘆𝘁𝗵𝗼𝗻 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝟮𝟬𝟮𝟱 — 𝗥𝗲𝗰𝗲𝗻𝘁𝗹𝘆 𝗔𝘀𝗸𝗲𝗱 𝗯𝘆 𝗠𝗡𝗖𝘀😍
📌 Preparing for Python Interviews in 2025?🗣
If you’re aiming for roles in data analysis, backend development, or automation, Python is your key weapon—and so is preparing with the right questions.💻✨️
𝐋𝐢𝐧𝐤👇:-
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Crack your next Python interview✅️
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🔟 Project Ideas for a data analyst
Customer Segmentation: Analyze customer data to segment them based on their behaviors, preferences, or demographics, helping businesses tailor their marketing strategies.
Churn Prediction: Build a model to predict customer churn, identifying factors that contribute to churn and proposing strategies to retain customers.
Sales Forecasting: Use historical sales data to create a predictive model that forecasts future sales, aiding inventory management and resource planning.
Market Basket Analysis: Analyze
transaction data to identify associations between products often purchased together, assisting retailers in optimizing product placement and cross-selling.
Sentiment Analysis: Analyze social media or customer reviews to gauge public sentiment about a product or service, providing valuable insights for brand reputation management.
Healthcare Analytics: Examine medical records to identify trends, patterns, or correlations in patient data, aiding in disease prediction, treatment optimization, and resource allocation.
Financial Fraud Detection: Develop algorithms to detect anomalous transactions and patterns in financial data, helping prevent fraud and secure transactions.
A/B Testing Analysis: Evaluate the results of A/B tests to determine the effectiveness of different strategies or changes on websites, apps, or marketing campaigns.
Energy Consumption Analysis: Analyze energy usage data to identify patterns and inefficiencies, suggesting strategies for optimizing energy consumption in buildings or industries.
Real Estate Market Analysis: Study housing market data to identify trends in property prices, rental rates, and demand, assisting buyers, sellers, and investors in making informed decisions.
Remember to choose a project that aligns with your interests and the domain you're passionate about.
Data Analyst Roadmap
👇👇
https://t.me/sqlspecialist/379
ENJOY LEARNING 👍👍
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𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
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Software development is complex, and the fancy names don't help.
Hashing vs. Encryption vs. Encoding
𝗛𝗮𝘀𝗵𝗶𝗻𝗴
This is a one-way process used for data integrity verification.
When you hash data, you get a unique string representing the original data.
It's a one-way street; once you hash something, you can't get the original data back from the hash.
While multiple values can theoretically yield the same hash, well-crafted cryptographic hash functions make such collisions incredibly rare and nearly impossible to compute.
This property makes it perfect for verifying if someone altered the data.
If even one-bit changes in the original data, the hash changes dramatically.
𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻
This is the real deal when it comes to data security.
It uses algorithms and keys to transform readable data (plaintext) into an unreadable format (ciphertext).
Only those with the correct key can unlock (decrypt) the data and read it.
This process is reversible, unlike hashing.
Encryption is critical for protecting sensitive data from unauthorized access.
𝗘𝗻𝗰𝗼𝗱𝗶𝗻𝗴
This is all about data representation.
It converts data from one format to another, making it easier to interpret and display.
Common formats:
• Base64
• UTF-8
• ASCII
Encoding does NOT provide security! It's for data transmission and storage convenience.
One common use of hashing is for secure password storage.
When you create an account or set a password, the system hashes and stores the password in the database.
During login, the system hashes the provided password and compares it to the stored hash without revealing the password.
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𝗟𝗲𝗮𝗿𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗚𝗼𝗼𝗴𝗹𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 — 𝗙𝗼𝗿 𝗙𝗿𝗲𝗲!😍
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Google’s Machine Learning Crash Course is the perfect launchpad—absolutely free, beginner-friendly, and created by the engineers behind the tools.👨💻📌
𝐋𝐢𝐧𝐤👇:-
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All The Best 🎊
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Python Interview Questions – Part 1
1. What is Python?
Python is a high-level, interpreted programming language known for its readability and wide range of libraries.
2. Is Python statically typed or dynamically typed?
Dynamically typed. You don't need to declare data types explicitly.
3. What is the difference between a list and a tuple?
List is mutable, can be modified.
Tuple is immutable, cannot be changed after creation.
4. What is indentation in Python?
Indentation is used to define blocks of code. Python strictly relies on indentation instead of brackets {}.
5. What is the output of this code?
x = [1, 2, 3]
print(x * 2)
Answer: [1, 2, 3, 1, 2, 3]
6. Write a Python program to check if a number is even or odd.
num = int(input("Enter number: "))
if num % 2 == 0:
print("Even")
else:
print("Odd")
7. What is a Python dictionary?
A collection of key-value pairs. Example:
person = {"name": "Alice", "age": 25}
8. Write a function to return the square of a number.
def square(n):
return n * n
Coding Interviews: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING 👍👍
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𝗙𝗥𝗘𝗘 𝗢𝗳𝗳𝗹𝗶𝗻𝗲 𝗗𝗲𝗺𝗼 𝗖𝗹𝗮𝘀𝘀 𝗜𝗻 𝗛𝘆𝗱𝗲𝗿𝗮𝗯𝗮𝗱/𝗣𝘂𝗻𝗲😍
Master Coding Skills & Get Your Dream Job In Top Tech Companies
Designed by Top 1% from IITs and top MNCs.
𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝗲𝘀:-
- Get hands-on coding experience
- Placement assistance
- 60 hiring drives each month
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𝗛𝘆𝗱𝗲𝗿𝗮𝗯𝗮𝗱 :- https://pdlink.in/4cJUWtx
𝗣𝘂𝗻𝗲 :- https://pdlink.in/3YA32zi
( Limited Slots )
67 949
𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗦𝗸𝘆𝗿𝗼𝗰𝗸𝗲𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿😍
Whether you’re diving into AI, learning Python, mastering marketing, or sharpening your Excel skills📊
These free courses offer everything you need to stay ahead in tech, data, and business👨💻
𝐋𝐢𝐧𝐤👇:-
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🚀 Top 10 Tools Data Scientists Love! 🧠
In the ever-evolving world of data science, staying updated with the right tools is crucial to solving complex problems and deriving meaningful insights.
🔍 Here’s a quick breakdown of the most popular tools:
1. Python 🐍: The go-to language for data science, favored for its versatility and powerful libraries.
2. SQL 🛠️: Essential for querying databases and manipulating data.
3. Jupyter Notebooks 📓: An interactive environment that makes data analysis and visualization a breeze.
4. TensorFlow/PyTorch 🤖: Leading frameworks for deep learning and neural networks.
5. Tableau 📊: A user-friendly tool for creating stunning visualizations and dashboards.
6. Git & GitHub 💻: Version control systems that every data scientist should master.
7. Hadoop & Spark 🔥: Big data frameworks that help process massive datasets efficiently.
8. Scikit-learn 🧬: A powerful library for machine learning in Python.
9. R 📈: A statistical programming language that is still a favorite among many analysts.
10. Docker 🐋: A must-have for containerization and deploying applications.
I have curated the best interview resources to crack Data Science Interviews
👇👇
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Like if you need similar content 😄👍
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𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝗜𝗻 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀😍
1️⃣ BCG Data Science & Analytics Virtual Experience
2️⃣ TATA Data Visualization Internship
3️⃣ Accenture Data Analytics Virtual Internship
𝐋𝐢𝐧𝐤👇:-
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Enroll for FREE & Get Certified 🎓
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2 VERY IMPORTANT MISAKES to avoid for job seekers
Trying or struggling to get Interview Calls
Let me summarise.
Many job applicants for analytics roles (also applicable for other roles) often get frustrated with receiving no interview calls DESPITE putting a lot of good projects, certifications and even their prior experience.
There are probably 2 key yet common mistakes you could be making during your application:
𝟏. 𝐘𝐨𝐮𝐫 𝐑𝐞𝐬𝐮𝐦𝐞 𝐈𝐬𝐧'𝐭 𝐓𝐚𝐢𝐥𝐨𝐫𝐞𝐝 𝐅𝐨𝐫 𝐓𝐡𝐞 𝐑𝐨𝐥𝐞
- Companies use an ATS to scan for relevant profiles amongst 100 of applications based on finding relevant key words.
- Ensure you update your resume to include the skills they're looking for.
- This will increase the chance of the ATS picking up on your resume.
𝟐. 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐏𝐫𝐨𝐟𝐢𝐥𝐞 & 𝐀𝐜𝐭𝐢𝐯𝐢𝐭𝐲- - - - - If your resume reaches the technical/hiring team - they'll want to get more information about you.
- Their Next Stop - YOUR LINKEDIN PROFILE
- Update your certifications/skills & upload your key projects.
- Be Active and Share Your Learnings.
- This builds your credibility in their eyes
Remember....
You're competing against large pool of equally or more talented individuals like yourself.
On A Technical And Accomplishment level, you might on par with others.
Then it goes down to who can stand out from the rest.
Luck can play a huge role, but so can being strategic in your application.
Leave no stone unturned.
Join our WhatsApp channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
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𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀 𝗜𝗻 𝟮𝟬𝟮𝟱😍
Explore top-notch courses to build expertise in cloud computing, data analysis, and visualization—all for FREE!
1. Microsoft Azure Fundamentals
2. Power BI Data Analyst Associate
3. Azure Enterprise Data Analyst Associate
4. Introduction to Data Analysis Using Excel (edX)
5. Analyzing & Visualizing Data with Excel (edX)
𝐋𝐢𝐧𝐤👇:-
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Start learning today and transform your career! 🚀
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Master Frontend to Backend in 150 Days👩💻
Days:1 - 30
Learn HTML, CSS, and JavaScript
Days: 31 - 60
Master React.js and Build Interfaces
Days: 61 - 90
Explore MongoDB and learn how to work
with Databases
Days: 91 - 120
Dive into Node.js and learn the basics of
server-side development
Days: 121 - 150
Bring it all together by learning Express.js
and building full-stack applications
Free Resources on WhatsApp
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https://whatsapp.com/channel/0029VaxfCpv2v1IqQjv6Ke0r
ENJOY LEARNING 👍👍
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Repost from Power BI & Tableau Resources
𝟱 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻’𝘁 𝗠𝗶𝘀𝘀😍
Microsoft Learn is offering 5 must-do courses for aspiring data scientists, absolutely free🔥📊
These self-paced learning modules are designed by industry experts and cover everything from Python and ML to Microsoft Fabric and Azure🎯
𝐋𝐢𝐧𝐤👇:-
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Job-ready content that gets you results✅️
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Repost from Jobs | Internships | Placement | Interviews
𝟰 𝗕𝗲𝘀𝘁 𝗖𝗼𝗱𝗶𝗻𝗴 𝗚𝗮𝗺𝗲𝘀 𝗧𝗵𝗮𝘁 𝗠𝗮𝗸𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗦𝘂𝗽𝗲𝗿 𝗙𝘂𝗻 🎮💻
Tired of boring tutorials? 👨💻✔️
Say hello to coding games—a powerful (and fun) way to learn programming by playing💻🚀
𝐋𝐢𝐧𝐤👇:-
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Forget the lectures—code, play, and grow your skills with these interactive platforms!✅️
