Coding Interview Resources
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This channel contains the free resources and solution of coding problems which are usually asked in the interviews.

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what programming language do you use most often ๐ŸŒŸ
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๐Ÿ”Ÿ Web development project ideas for beginners

Personal Portfolio Website: Create a website showcasing your skills, projects, and resume. This will help you practice HTML, CSS, and potentially some JavaScript for interactivity.

To-Do List App: Build a simple to-do list application using HTML, CSS, and JavaScript. You can gradually enhance it by adding features like task priority, due dates, and local storage.

Blog Platform: Create a basic blog platform where users can create, edit, and delete posts. This will give you experience with user authentication, databases, and CRUD operations.

E-commerce Website: Design a mock e-commerce site to learn about product listings, shopping carts, and checkout processes. This project will introduce you to handling user input and creating dynamic content.

Weather App: Develop a weather app that fetches data from a weather API and displays current conditions and forecasts. This project will involve API integration and working with JSON data.

Recipe Sharing Site: Build a platform where users can share and browse recipes. You can implement search functionality and user authentication to enhance the project.

Social Media Dashboard: Create a simplified social media dashboard that displays metrics like followers, likes, and comments. This project will help you practice data visualization and working with APIs.

Online Quiz App: Develop an online quiz application that lets users take quizzes on various topics. You can include features like multiple-choice questions, timers, and score tracking.

Personal Blog: Start your own blog by developing a content management system (CMS) where you can create, edit, and publish articles. This will give you hands-on experience with database management.

Event Countdown Timer: Build a countdown timer for upcoming events. You can make it interactive by allowing users to set their own event names and dates.

Remember, the key is to start small and gradually add complexity to your projects as you become more comfortable with different technologies concepts. These projects will not only showcase your skills to potential employers but also help you learn and grow as a web developer.

Free Resources to learn web development https://t.me/free4unow_backup/554

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Top 10 Web Development Technologies ๐ŸŒ

1. ๐ŸŸจ JavaScript โ€” 98% usage

2. ๐Ÿ”ต TypeScript โ€” 78% adoption

3. ๐ŸŸข Node.js โ€” 75% backend choice

4. โš›๏ธ React โ€” 70% frontend framework

5. ๐Ÿ…ฐ๏ธ Angular โ€” 55% enterprise use

6. ๐Ÿ’š Vue.js โ€” 49% growing popularity

7. ๐Ÿ Python โ€” 48% for full-stack

8. ๐Ÿ’Ž Ruby on Rails โ€” 45% rapid development

9. ๐Ÿ˜ PHP โ€” 43% widespread use

10. โ˜• Java โ€” 40% enterprise solutions
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11. ๐Ÿฆ€ Rust โ€” 38% performance-critical apps

12. ๐ŸŽฏ Dart โ€” 35% with Flutter for web

13. ๐Ÿ”ท GraphQL โ€” 33% API queries

14. ๐Ÿƒ MongoDB โ€” 30% NoSQL database

15. ๐Ÿณ Docker โ€” 28% containerization

16. โ˜๏ธ AWS โ€” 25% cloud services

17. ๐Ÿ”ถ Svelte โ€” 22% compile-time framework

18. ๐Ÿ”ท Next.js โ€” 20% React framework

19. ๐ŸŸฃ Blazor โ€” 18% .NET web apps

20. ๐ŸŸข Deno โ€” 15% secure runtime
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All 25 Algorithms...
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Interview QnAs For ML Engineer

1.What are the various steps involved in an data analytics project?

The steps involved in a data analytics project are:

Data collection
Data cleansing
Data pre-processing
EDA
Creation of train test and validation sets
Model creation
Hyperparameter tuning
Model deployment


2. Explain Star Schema.

Star schema is a data warehousing concept in which all schema is connected to a central schema.


3. What is root cause analysis?

Root cause analysis is the process of tracing back of occurrence of an event and the factors which lead to it. Itโ€™s generally done when a software malfunctions. In data science, root cause analysis helps businesses understand the semantics behind certain outcomes.


4. Define Confounding Variables.

A confounding variable is an external influence in an experiment. In simple words, these variables change the effect of a dependent and independent variable. A variable should satisfy below conditions to be a confounding variable :

Variables should be correlated to the independent variable.
Variables should be informally related to the dependent variable.
For example, if you are studying whether a lack of exercise has an effect on weight gain, then the lack of exercise is an independent variable and weight gain is a dependent variable. A confounder variable can be any other factor that has an effect on weight gain. Amount of food consumed, weather conditions etc. can be a confounding variable.

Data Science & Machine Learning Resources: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D

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How to master Python from scratch๐Ÿš€

1. Setup and Basics ๐Ÿ
   - Install Python ๐Ÿ–ฅ๏ธ: Download Python and set it up.
   - Hello, World! ๐ŸŒ: Write your first Hello World program.

2. Basic Syntax ๐Ÿ“œ
   - Variables and Data Types ๐Ÿ“Š: Learn about strings, integers, floats, and booleans.
   - Control Structures ๐Ÿ”„: Understand if-else statements, for loops, and while loops.
   - Functions ๐Ÿ› ๏ธ: Write reusable blocks of code.

3. Data Structures ๐Ÿ“‚
   - Lists ๐Ÿ“‹: Manage collections of items.
   - Dictionaries ๐Ÿ“–: Store key-value pairs.
   - Tuples ๐Ÿ“ฆ: Work with immutable sequences.
   - Sets ๐Ÿ”ข: Handle collections of unique items.

4. Modules and Packages ๐Ÿ“ฆ
   - Standard Library ๐Ÿ“š: Explore built-in modules.
   - Third-Party Packages ๐ŸŒ: Install and use packages with pip.

5. File Handling ๐Ÿ“
   - Read and Write Files ๐Ÿ“
   - CSV and JSON ๐Ÿ“‘

6. Object-Oriented Programming ๐Ÿงฉ
   - Classes and Objects ๐Ÿ›๏ธ
   - Inheritance and Polymorphism ๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘ง

7. Web Development ๐ŸŒ
   - Flask ๐Ÿผ: Start with a micro web framework.
   - Django ๐Ÿฆ„: Dive into a full-fledged web framework.

8. Data Science and Machine Learning ๐Ÿง 
   - NumPy ๐Ÿ“Š: Numerical operations.
   - Pandas ๐Ÿผ: Data manipulation and analysis.
   - Matplotlib ๐Ÿ“ˆ and Seaborn ๐Ÿ“Š: Data visualization.
   - Scikit-learn ๐Ÿค–: Machine learning.

9. Automation and Scripting ๐Ÿค–
   - Automate Tasks ๐Ÿ› ๏ธ: Use Python to automate repetitive tasks.
   - APIs ๐ŸŒ: Interact with web services.

10. Testing and Debugging ๐Ÿž
    - Unit Testing ๐Ÿงช: Write tests for your code.
    - Debugging ๐Ÿ”: Learn to debug efficiently.

11. Advanced Topics ๐Ÿš€
    - Concurrency and Parallelism ๐Ÿ•’
    - Decorators ๐ŸŒ€ and Generators โš™๏ธ
    - Web Scraping ๐Ÿ•ธ๏ธ: Extract data from websites using BeautifulSoup and Scrapy.

12. Practice Projects ๐Ÿ’ก
    - Calculator ๐Ÿงฎ
    - To-Do List App ๐Ÿ“‹
    - Weather App โ˜€๏ธ
    - Personal Blog ๐Ÿ“

13. Community and Collaboration ๐Ÿค
    - Contribute to Open Source ๐ŸŒ
    - Join Coding Communities ๐Ÿ’ฌ
    - Participate in Hackathons ๐Ÿ†

14. Keep Learning and Improving ๐Ÿ“ˆ
    - Read Books ๐Ÿ“–: Like "Automate the Boring Stuff with Python".
    - Watch Tutorials ๐ŸŽฅ: Follow video courses and tutorials.
    - Solve Challenges ๐Ÿงฉ: On platforms like LeetCode, HackerRank, and CodeWars.

15. Teach and Share Knowledge ๐Ÿ“ข
    - Write Blogs โœ๏ธ
    - Create Video Tutorials ๐Ÿ“น
    - Mentor Others ๐Ÿ‘จโ€๐Ÿซ

I have curated the best interview resources to crack Python Interviews ๐Ÿ‘‡๐Ÿ‘‡
https://topmate.io/coding/898340

Hope you'll like it

Like this post if you need more resources like this ๐Ÿ‘โค๏ธ
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Types of Data Structures ๐Ÿ‘†
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Advanced SQL Optimization Tips for Data Analysts

Use Proper Indexing: Create indexes for frequently queried columns.

Avoid SELECT *: Specify only required columns to improve performance.

Use WHERE Instead of HAVING: Filter data early in the query.

Limit Joins: Avoid excessive joins to reduce query complexity.

Apply LIMIT or TOP: Retrieve only the required rows.

Optimize Joins: Use INNER JOIN over OUTER JOIN where applicable.

Use Temporary Tables: Break complex queries into smaller parts.

Avoid Functions on Indexed Columns: It prevents index usage.

Use CTEs for Readability: Simplify nested queries using Common Table Expressions.

Analyze Execution Plans: Identify bottlenecks and optimize queries.

Here you can find SQL Interview Resources๐Ÿ‘‡
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02

Like this post if you need more ๐Ÿ‘โค๏ธ

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

Hope it helps :)
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Web Development Interview Questions for Freshers

1. What happens when you type a URL in your browser and press Enter?
Answer:

DNS lookup happens to find the IP address

Browser sends an HTTP/HTTPS request to the server

Server processes and sends back HTML/CSS/JS

Browser renders the page using its rendering engine


2. What is the difference between GET and POST requests?
Answer:

GET: Sends data in the URL, used for fetching data

POST: Sends data in the body, used for submitting data securely


3. What is a responsive website?
Answer:
A responsive website adjusts layout and design based on screen size and device (mobile, tablet, desktop), usually using CSS media queries.

4. What is the role of Webpack in web development?
Answer:
Webpack bundles JavaScript files, CSS, and assets into optimized output for faster website loading and better performance.

5. What is the purpose of async and defer in script tags?
Answer:

async: Loads script asynchronously and executes it immediately

defer: Loads script asynchronously but executes after HTML is parsed


6. What is the difference between localStorage and sessionStorage?
Answer:

localStorage: Stores data with no expiration

sessionStorage: Stores data until the browser tab is closed


7. What is CORS?
Answer:
CORS (Cross-Origin Resource Sharing) is a browser security feature that restricts cross-domain API calls unless the server allows it.

8. What is the difference between null and undefined in JavaScript?
Answer:

undefined: A variable declared but not assigned a value

null: A variable explicitly set to have no value


9. How do you optimize website performance?
Answer:

Minify CSS/JS

Compress images

Use lazy loading

Use caching

Reduce HTTP requests

Use a CDN


10. What is the DOM?
Answer:
DOM (Document Object Model) represents the structure of an HTML document as objects, which JavaScript can interact with to change content dynamically.

Credits: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z/847
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Want to get started with System design interview preparation, start with these ๐Ÿ‘‡

1. Learn to understand requirements
2. Learn the difference between horizontal and vertical scaling.
3. Study latency and throughput trade-offs and optimization techniques.
4. Understand the CAP Theorem (Consistency, Availability, Partition Tolerance).
5. Learn HTTP/HTTPS protocols, request-response lifecycle, and headers.
6. Understand DNS and how domain resolution works.
7. Study load balancers, their types (Layer 4 and Layer 7), and algorithms.
8. Learn about CDNs, their use cases, and caching strategies.
9. Understand SQL databases (ACID properties, normalization) and NoSQL types (keyโ€“value, document, graph).
10. Study caching tools (Redis, Memcached) and strategies (write-through, write-back, eviction policies).
11. Learn about blob storage systems like S3 or Google Cloud Storage.
12. Study sharding and horizontal partitioning of databases.
13. Understand replication (leaderโ€“follower, multi-leader) and consistency models.
14. Learn failover mechanisms like active-passive and active-active setups.
15. Study message queues like RabbitMQ, Kafka, and SQS.
16. Understand consensus algorithms such as Paxos and Raft.
17. Learn event-driven architectures, Pub/Sub models, and event sourcing.
18. Study distributed transactions (two-phase commit, sagas).
19. Learn rate-limiting techniques (token bucket, leaky bucket algorithms).
20. Study API design principles for REST, GraphQL, and gRPC.
21. Understand microservices architecture, communication, and trade-offs with monoliths.
22. Learn authentication and authorization methods (OAuth, JWT, SSO).
23. Study metrics collection tools like Prometheus or Datadog.
24. Understand logging systems (e.g., ELK stack) and tracing tools (OpenTelemetry, Jaeger).
25.Learn about encryption (data at rest and in transit) and rate-limiting for security.
26. And then practise the most commonly asked questions like URL shorteners, chat systems, ride-sharing apps, search engines, video streaming, and e-commerce websites

Coding Interview Resources: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
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List of most asked Programming Interview Questions.

Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.

Arrays

- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?

Linked Lists

- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?

Strings

- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?

Binary Trees

- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?

Graph

- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.

Dynamic Programming

1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
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Python Cheatsheet ๐Ÿš€

1๏ธโƒฃ Variables & Data Types

x = 10 (Integer)

y = 3.14 (Float)

name = "Python" (String)

is_valid = True (Boolean)

items = [1, 2, 3] (List)

data = (1, 2, 3) (Tuple)

person = {"name": "Alice", "age": 25} (Dictionary)


2๏ธโƒฃ Operators

Arithmetic: +, -, *, /, //, %, **

Comparison: ==, !=, >, <, >=, <=

Logical: and, or, not

Membership: in, not in


3๏ธโƒฃ Control Flow

If-Else:

if age > 18:
print("Adult")
elif age == 18:
print("Just turned 18")
else:
print("Minor")

Loops:

for i in range(5):
print(i)
while x < 10:
x += 1


4๏ธโƒฃ Functions

Defining & Calling:

def greet(name):
return f"Hello, {name}"
print(greet("Alice"))

Lambda Functions: add = lambda x, y: x + y


5๏ธโƒฃ Lists & Dictionary Operations

Append: items.append(4)

Remove: items.remove(2)

List Comprehension: [x**2 for x in range(5)]

Dictionary Access: person["name"]


6๏ธโƒฃ File Handling

Read File:

with open("file.txt", "r") as f:
content = f.read()

Write File:

with open("file.txt", "w") as f:
f.write("Hello, World!")


7๏ธโƒฃ Exception Handling

try:
result = 10 / 0
except ZeroDivisionError:
print("Cannot divide by zero!")
finally:
print("Done")

8๏ธโƒฃ Modules & Packages

Importing:

import math
print(math.sqrt(25))

Creating a Module (mymodule.py):

def add(x, y):
return x + y

Usage: from mymodule import add


9๏ธโƒฃ Object-Oriented Programming (OOP)

Defining a Class:

class Person:
def init(self, name, age):
self.name = name
self.age = age
def greet(self):
return f"Hello, my name is {self.name}"

Creating an Object: p = Person("Alice", 25)


๐Ÿ”Ÿ Useful Libraries

NumPy: import numpy as np

Pandas: import pandas as pd

Matplotlib: import matplotlib.pyplot as plt

Requests: import requests

Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
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