avatarNaina Chaturvedi

Summary

The website provides a comprehensive collection of resources for tech interviews, including dynamic programming and memoization questions, system design case studies, and a variety of projects and tutorials in Python, data science, machine learning, and more.

Abstract

The website serves as a valuable repository for individuals preparing for technical interviews, offering a wide range of practice questions, in-depth system design studies, and hands-on projects across various domains of software development and data science. It covers topics such as dynamic programming, memoization, and system design, with a focus on platforms like LeetCode for coding challenges. The site also features detailed guides on advanced SQL, data structures, algorithms, and a series of educational content on natural language processing, data engineering, MLOps, deep learning, and more. Additionally, the website announces the launch of a YouTube channel, Ignito, which will publish videos on the implemented projects and coding exercises, and it encourages visitors to subscribe for more content.

Opinions

  • The author emphasizes the importance of being well-prepared for tech interviews by providing a curated list of coding questions and system design case studies.
  • There is a strong recommendation for continuous learning and practice, as evidenced by the multiple series and compilations of projects and tutorials.
  • The website promotes the idea that understanding the theoretical concepts is not enough; practical implementation through projects is crucial for mastering the skills.
  • The author values the community aspect of learning, suggesting visitors to join a tech newsletter and subscribe to the newly launched YouTube channel for additional support and resources.
  • There is an opinion that the content provided is comprehensive and covers a broad spectrum of topics relevant to the tech industry, making it a one-stop-shop for aspiring tech professionals.

Most Popular Dynamic Programming and Memoization Questions

Just for your reference…

Pic credits : Code Tricks

Welcome back peeps. This post is for the students who are preparing for their tech interviews. While I’m sitting on the other side of the table as an interviewer now; I know how daunting the prep journey can be. Use it just as a reference/practice resource.

System Design Case Studies — In Depth

Design Instagram

Design Messenger App

Design Twitter

Design URL Shortener

Design Dropbox

Design Youtube

Design API Rate Limiter

Design Web Crawler

Design Facebook’s Newsfeed

Most Popular System Design Questions

Mega Compilation : Solved System Design Case studies

Some of the other best Series —

30 Days of Natural Language Processing ( NLP) Series

30 days of Data Engineering with projects Series

60 days of Data Science and ML Series with projects

100 days : Your Data Science and Machine Learning Degree Series with projects

23 Data Science Techniques You Should Know

Tech Interview Series — Curated List of coding questions

Complete System Design with most popular Questions Series

Complete Data Visualization and Pre-processing Series with projects

Complete Python Series with Projects

Complete Advanced Python Series with Projects

Kaggle Best Notebooks that will teach you the most

Complete Developers Guide to Git

All the Data Science and Machine Learning Resources

210 Machine Learning Projects

30 days of Machine Learning Ops

Projects Videos —

All the projects, data structures, SQL, algorithms, system design, Data Science and ML , Data Analytics, Data Engineering, , Implemented Data Science and ML projects, Implemented Data Engineering Projects, Implemented Deep Learning Projects, Implemented Machine Learning Ops Projects, Implemented Time Series Analysis and Forecasting Projects, Implemented Applied Machine Learning Projects, Implemented Tensorflow and Keras Projects, Implemented PyTorch Projects, Implemented Scikit Learn Projects, Implemented Big Data Projects, Implemented Cloud Machine Learning Projects, Implemented Neural Networks Projects, Implemented OpenCV Projects,Complete ML Research Papers Summarized, Implemented Data Analytics projects, Implemented Data Visualization Projects, Implemented Data Mining Projects, Implemented Natural Leaning Processing Projects, MLOps and Deep Learning, Applied Machine Learning with Projects Series, PyTorch with Projects Series, Tensorflow and Keras with Projects Series, Scikit Learn Series with Projects, Time Series Analysis and Forecasting with Projects Series, ML System Design Case Studies Series videos will be published on our youtube channel ( just launched).

Subscribe today!

Tech Newsletter —

If you are interested, you can join my newsletter through which I send tech interview tips, techniques, patterns, hacks — Software Development, ML, Data Science, Startups and Technology projects to more than 30K readers. You can subscribe to Tech Brew :

Curated List — The Top & Most Frequently Asked Coding Questions You Should Practice

System Design Case Studies — In Depth

Design Instagram

Design Messenger App

Design Twitter

Design URL Shortener

Design Dropbox

Design Youtube

Mega Compilation : Solved System Design Case studies

Most Popular Coding Questions — Company Wise List : Part 1

System Design

Most Popular Coding Questions — Company Wise List : Part 2

Python Iterators, Generators And Decorators Made Easy

Complete Data Preprocessing and Data Visualization with Projects — Mega Compilation Part 2

Python projects —

Day 1 — Day 60 : Quick Recap of 60 days of Data Science and ML

Part 1 of Data Science and ML mega series ( Day 0 — Day 20) can be found here —

Part 2 of Data Science and ML mega series ( Day 21 — Day 35) can be found here —

Part 3 of Data Science and ML mega series ( Day 36 — Day 48) can be found here —

Build Machine Learning Pipelines( With Code)

Recurrent Neural Network with Keras

Python Iterators, Generators And Decorators Made Easy

Custom Layers in Keras

ANN, Linear Regression, Decision Tree Regression and Random Forest with a project

23 Data Science Techniques You Should Know!

Data Science And Machine Learning Projects — Mega Compilation Part 5

Transfer learning and Text Classification

Natural Language Processing and Convolutions

Quick Recap : 30 days of Natural Language Processing ( NLP) with Projects Series

More Coming Soon!

All the Complete System Design Series Parts —

1. System design basics

2. Horizontal and vertical scaling

3. Load balancing and Message queues

4. High level design and low level design, Consistent Hashing, Monolithic and Microservices architecture

5. Caching, Indexing, Proxies

6. Networking, How Browsers work, Content Network Delivery ( CDN)

7. Database Sharding, CAP Theorem, Database schema Design

8. Concurrency, API, Components + OOP + Abstraction

9. Estimation and Planning, Performance

10. Map Reduce, Patterns and Microservices

11. SQL vs NoSQL and Cloud

12. Most Popular System Design Questions

Github —

More Projects —

Complete Python And Projects — Mega Compilation

Complete Data Preprocessing and Data Visualization with Projects — Mega Compilation Part 2

Maths —

Statistics for Data Science and Machine Learning with Code Implementation

Maths for Data Science and Machine learning

In this post we covered Maths for ML . Topics like Linear Algebra, Calculus, Matrix and Vectors, Bayes Theorem and Cheatsheets etc are covered in detail.

Advanced SQL Series

Day 1 : SQL Basics and Kick start of Advanced SQL Series

Day 2 : SQL Basics, Query Structure, Built In functions Conditions

Day 3 : Most Important Commands, Joins and Filters

Day 4 : Set Theory Operations, Stored Procedures and CASE statements in SQL

Day 5 : Wildcards, Aggregation and Sequences in SQL

Day 6 : Subqueries, Group by, order by and Having clauses in SQL and Analytical Functions

Day 7 : Window Functions, Grouping Sets and Constraints in SQL

Day 8 : BigQuery Basics, SELECT, FROM, WHERE and Date and Extract in BigQuery

Day 9 : Common Expression Table, UNNEST Clause, SQL vs NoSQL Databases

Day 10 : Triggers, Pivot and Cursors in SQL

Day 11 : Views, Indexes and Auto Increment in SQL

Day 12 : Query optimizations, Performance tuning in SQL

Day 13 : Introduction to MySQL, PostgreSQL and Mongo DB, Comparison between MySQL and PostgreSQL and Mongo DB, Introduction to SQL and NoSQL Databases

Day 14 : MySQL in Depth

Day 15 : PostgreSQL inDepth

Anyways, For Day 15 of 15 days of Advanced SQL, we will cover —

PostgreSQL inDepth

Github for Advanced SQL that you can follow —

All the projects, data structures, algorithms, system design, Data Science and ML, Data Engineering, MLOps and Deep Learning videos will be published on our youtube channel ( just launched).

Subscribe today!

System Design Case Studies — In Depth

Design Instagram

Design Messenger App

Design Twitter

Design URL Shortener

Design Dropbox

Design Youtube

Design API Rate Limiter

Design Web Crawler

Design Facebook’s Newsfeed

Design Yelp

Design Uber

Design Tinder

Design Tiktok

Design Whatsapp

Most Popular System Design Questions

Mega Compilation : Solved System Design Case studies

Complete Data Structures and Algorithm Series

Complexity Analysis

Backtracking

Sliding Window

Greedy Technique

Two pointer Technique

Arrays

Linked List

Strings

Stack

Queues

Hash Table/Hashing

Binary Search

1- D Dynamic Programming

Divide and Conquer Technique

Recursion

Github —

For other projects, tune to —

Build Machine Learning Pipelines( With Code)

Recurrent Neural Network with Keras

Custom Layers in Keras

Follow for more updates, stay tuned and of-course let me end this post with a quote by Steve Jobs ;)

“Your time is limited, so don’t waste it living someone else’s life.”

Tech
Data Science
Programming
Software Development
Technology
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