𝟱 𝗠𝘂𝘀𝘁-𝗙𝗼𝗹𝗹𝗼𝘄 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝗳𝗼𝗿 𝗔𝘀𝗽𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱😍

Want to Become a Data Scientist in 2025? Start Here!🎯

If you’re serious about becoming a Data Scientist in 2025, the learning doesn’t have to be expensive — or boring!🚀

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/4kfBR5q

Perfect for beginners and aspiring pros✅️

Guys, Big Announcement!

We’ve officially hit 2 MILLION followers — and it’s time to take our Python journey to the next level!

I’m super excited to launch the 30-Day Python Coding Challenge — perfect for absolute beginners, interview prep, or anyone wanting to build real projects from scratch.

This challenge is your daily dose of Python — bite-sized lessons with hands-on projects so you actually code every day and level up fast.

Here’s what you’ll learn over the next 30 days:

Week 1: Python Fundamentals

- Variables & Data Types (Build your own bio/profile script)

- Operators (Mini calculator to sharpen math skills)

- Strings & String Methods (Word counter & palindrome checker)

- Lists & Tuples (Manage a grocery list like a pro)

- Dictionaries & Sets (Create your own contact book)

- Conditionals (Make a guess-the-number game)

- Loops (Multiplication tables & pattern printing)

Week 2: Functions & Logic — Make Your Code Smarter

- Functions (Prime number checker)

- Function Arguments (Tip calculator with custom tips)

- Recursion Basics (Factorials & Fibonacci series)

- Lambda, map & filter (Process lists efficiently)

- List Comprehensions (Filter odd/even numbers easily)

- Error Handling (Build a safe input reader)

- Review + Mini Project (Command-line to-do list)


Week 3: Files, Modules & OOP

- Reading & Writing Files (Save and load notes)

- Custom Modules (Create your own utility math module)

- Classes & Objects (Student grade tracker)

- Inheritance & OOP (RPG character system)

- Dunder Methods (Build a custom string class)

- OOP Mini Project (Simple bank account system)

- Review & Practice (Quiz app using OOP concepts)


Week 4: Real-World Python & APIs — Build Cool Apps

- JSON & APIs (Fetch weather data)

- Web Scraping (Extract titles from HTML)

- Regular Expressions (Find emails & phone numbers)

- Tkinter GUI (Create a simple counter app)

- CLI Tools (Command-line calculator with argparse)

- Automation (File organizer script)

- Final Project (Choose, build, and polish your app!)

React with ❤️ if you're ready for this new journey

You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/1661

🎓 𝗟𝗲𝗮𝗿𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱, 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱, 𝗠𝗜𝗧 & 𝗚𝗼𝗼𝗴𝗹𝗲😍

Why pay thousands when you can access world-class Computer Science courses for free? 🌐

Top institutions like Harvard, Stanford, MIT, and Google offer high-quality learning resources to help you master in-demand tech skills👨‍🎓📌

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/3ZyQpFd

Perfect for students, self-learners, and career switchers✅️

9 things every beginner programmer should stop doing:

❌ Copy-pasting code without understanding it

⏩ Skipping the fundamentals to learn advanced stuff

🔁 Rewriting the same code instead of reusing functions

📦 Ignoring file/folder structure in projects

⚠️ Not handling errors or exceptions

🧠 Memorizing syntax instead of learning logic

⏳ Waiting for the “perfect idea” to start coding

📚 Jumping between tutorials without building anything

💤 Giving up too early when things get hard


#coding #tips

𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗡𝗼 𝗗𝗲𝗴𝗿𝗲𝗲 𝗡𝗲𝗲𝗱𝗲𝗱!😍

You don’t need a degree or pay lakhs to start a career in web development! 💸❌

These 100% free courses by Udacity are beginner-friendly and cover everything from frontend to backend👨‍💻📌

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/4jCAtJ5

📌 Save this post & tag a friend who’s ready to switch to tech!

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 👍👍

𝗦𝗤𝗟 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍

Looking to master SQL for Data Analytics or prep for your dream tech job? 💼

These 3 Free SQL resources will help you go from beginner to job-ready—without spending a single rupee! 📊✨

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/3TcvfsA

💥 Start learning today and build the skills top companies want!✅️

Python Full Stack Developer Roadmap:

Stage 1: HTML – Learn webpage basics.

Stage 2: CSS – Style web pages.

Stage 3: JavaScript – Add interactivity.

Stage 4: Git + GitHub – Manage code versions.

Stage 5: Frontend Project – Build a simple project.

Stage 6: Python (Core + OOP) – Learn Python fundamentals.

Stage 7: Backend Project – Use Flask/Django for backend.

Stage 8: Frameworks – Master Flask/Django features.

𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍

𝗦𝗤𝗟:- https://pdlink.in/3TcvfsA

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3Hfpwjc

𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3ZyQpFd

𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3Hnx3wh

𝗗𝗲𝘃𝗢𝗽𝘀 :- https://pdlink.in/4jyxBwS

𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 :- https://pdlink.in/4jCAtJ5

Enroll for FREE & Get Certified 🎓

Goldman Sachs senior data analyst interview asked questions

SQL

1 find avg of salaries department wise from table
2 Write a SQL query to see employee name and manager name using a self-join on 'employees' table with columns 'emp_id', 'name', and 'manager_id'.
3 newest joinee for every department (solved using lead lag)

POWER BI

1. What does Filter context in DAX mean?
2. Explain how to implement Row-Level Security (RLS) in Power BI.
3. Describe different types of filters in Power BI.
4. Explain the difference between 'ALL' and 'ALLSELECTED' in DAX.
5. How do you calculate the total sales for a specific product using DAX?

PYTHON

1. Create a dictionary, add elements to it, modify an element, and then print the dictionary in alphabetical order of keys.
2. Find unique values in a list of assorted numbers and print the count of how many times each value is repeated.
3. Find and print duplicate values in a list of assorted numbers, along with the number of times each value is repeated.

I have curated best 80+ top-notch Data Analytics Resources 👇👇
https://t.me/DataSimplifier

Hope this helps you 😊

𝟱 𝗙𝗿𝗲𝗲 𝗠𝗜𝗧 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗧𝗮𝗸𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱😍

🎓No MIT Admission? No Problem — Learn from MIT for Free!🔥

MIT is known for world-class education—but you don’t need to walk its halls to access its knowledge📚📌

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/4jBNtP2

These courses offer industry-relevant skills & completion certificates at no cost✅️

Python for Data Analysis: Must-Know Libraries 👇👇

Python is one of the most powerful tools for Data Analysts, and these libraries will supercharge your data analysis workflow by helping you clean, manipulate, and visualize data efficiently.

🔥 Essential Python Libraries for Data Analysis:

✅ Pandas – The go-to library for data manipulation. It helps in filtering, grouping, merging datasets, handling missing values, and transforming data into a structured format.

📌 Example: Loading a CSV file and displaying the first 5 rows:

import pandas as pd df = pd.read_csv('data.csv') print(df.head()) 

✅ NumPy – Used for handling numerical data and performing complex calculations. It provides support for multi-dimensional arrays and efficient mathematical operations.

📌 Example: Creating an array and performing basic operations:

import numpy as np arr = np.array([10, 20, 30]) print(arr.mean()) # Calculates the average 

✅ Matplotlib & Seaborn – These are used for creating visualizations like line graphs, bar charts, and scatter plots to understand trends and patterns in data.

📌 Example: Creating a basic bar chart:

import matplotlib.pyplot as plt plt.bar(['A', 'B', 'C'], [5, 7, 3]) plt.show() 

✅ Scikit-Learn – A must-learn library if you want to apply machine learning techniques like regression, classification, and clustering on your dataset.

✅ OpenPyXL – Helps in automating Excel reports using Python by reading, writing, and modifying Excel files.

💡 Challenge for You!
Try writing a Python script that:
1️⃣ Reads a CSV file
2️⃣ Cleans missing data
3️⃣ Creates a simple visualization

React with ♥️ if you want me to post the script for above challenge! ⬇️

Share with credits: https://t.me/sqlspecialist

Hope it helps :)

𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱!😍

Want to communicate with AI like a pro? 🤖

Whether you’re a data analyst, AI developer, content creator, or student, this is the must-have skill of 2025✨️

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/456lMuf

Save this now & unlock your AI potential!⚡

Check out the list of top 10 Python projects on GitHub given below.

1. Magenta: Explore the artist inside you with this python project. A Google Brain’s brainchild, it leverages deep learning and reinforcement learning algorithms to create drawings, music, and other similar artistic products.

2. Photon: Designing web crawlers can be fun with the Photon project. It is a fast crawler designed for open-source intelligence tools. Photon project helps you perform data crawling functions, which include extracting data from URLs, e-mails, social media accounts, XML and pdf files, and Amazon buckets.

3. Mail Pile: Want to learn some encrypting tricks? This project on GitHub can help you learn to send and receive PGP encrypted electronic mails. Powered by Bayesian classifiers, it is capable of automatic tagging and handling huge volumes of email data, all organized in a clean web interface.

4. XS Strike: XS Strike helps you design a vulnerability to check your network’s security. It is a security suite developed to detect vulnerability attacks. XSS attacks inject malicious scripts into web pages. XSS’s features include four handwritten parsers, a payload generator, a fuzzing engine, and a fast crawler.

5. Google Images Download: It is a script that looks for keywords and phrases to optionally download the image files. All you need to do is, replicate the source code of this project to get a sense of how it works in practice.

6. Pandas Project: Pandas library is a collection of data structures that can be used for flexible data analysis and data manipulation. Compared to other libraries, its flexibility, intuitiveness, and automated data manipulation processes make it a better choice for data manipulation.

7. Xonsh: Used for designing interactive applications without the need for command-line interpreters like Unix. It is a Python-powered Shell language that commands promptly. An easily scriptable application that comes with a standard library, and various types of variables and has its own virtual environment management system.

8. Manim: The Mathematical Animation Engine, Manim, can create video explainers. Using Python 3.7, it produces animated videos, with added illustrations and display graphs. Its source code is freely available on GitHub and for tutorials and installation guides, you can refer to their 3Blue1Brown YouTube channel.

9. AI Basketball Analysis: It is an artificial intelligence application that analyses basketball shots using an object detection concept. All you need to do is upload the files or submit them as a post requests to the API. Then the OpenPose library carries out the calculations to generate the results.

10. Rebound: A great project to put Python to use in building Stackoverflow content, this tool is built on the Urwid console user interface, and solves compiler errors. Using this tool, you can learn how the Beautiful Soup package scrapes StackOverflow and how subprocesses work to find compiler errors.

𝟱 𝗙𝗥𝗘𝗘 𝗠𝗜𝗧 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗧𝗲𝗰𝗵, 𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲😍

Dreaming of an MIT education without the tuition fees? 🎯

These 5 FREE courses from MIT will help you master the fundamentals of programming, AI, machine learning, and data science—all from the comfort of your home! 🌐✨

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/45cvR95

Your gateway to a smarter career✅️

⭕ MAHINDRA Interview Experience ⭕

Technical Round:

1) Explain the working of your projects.
2) What are your favourite subjects?
3) Discuss about improving engine
efficiency and fuel economy.
4) What are the CNG driven cars' future in
India?
5) What is an in-car technology?

HR Round:

1) Tell me about yourself?
2) Why do you want to join our company?
3) What are your weakness and strong
points?
4) Can you tell us any instance of your
life when you worked as a leader?
5) Why should we hire you? Etc.

𝟱 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝗶𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲😍

Looking to Master Python for Free?✨️

These 5 GitHub repositories are all you need to level up — from beginner to advanced! 💻

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/3FG7DcW

📌 Save this post & share it with a Python learner!

𝟲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗖𝗵𝗮𝗻𝗴𝗲 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟱 😍

🎯 Want to switch careers or upgrade your skills — without spending a single rupee?

Check out 6 handpicked, beginner-friendly courses in high-demand fields like Data Science, Web Development, Digital Marketing, Project Management, and more. 🚀

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/4e1I17a

💥 Start learning today and build the skills top companies want!✅️

Must Know Fine Tuning Terms In LLM

𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 𝘄𝗶𝘁𝗵 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆😍

🎯 Want to break into Data Science without spending a single rupee?💰

Harvard University is offering a goldmine of free courses that make top-tier education accessible to anyone, anywhere👨‍💻✨️

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/3HxOgTW

These courses are designed by Ivy League experts and are trusted by thousands globally✅️