Complete-Placement-Preparation VS FAANG

Compare Complete-Placement-Preparation vs FAANG and see what are their differences.

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Complete-Placement-Preparation FAANG
3 1
3,063 1,701
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1.6 5.2
7 months ago 11 days ago
Python Java
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Complete-Placement-Preparation

Posts with mentions or reviews of Complete-Placement-Preparation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-17.

FAANG

Posts with mentions or reviews of FAANG. We have used some of these posts to build our list of alternatives and similar projects.
  • List of questions for Uber and Google
    1 project | /r/leetcode | 29 Apr 2021
    Thanks for your inputs. Yes I agree that no company would ask as is questions from LC, but I have read online that the patterns still stay the similar, for example in MSFT interviews you have good chance of getting problems related to strings, whereas GOOG interviewers like graphs a lot. And also, recently I gave AMZN SDE2 interview, and 2/4 questions were from https://github.com/neerazz/FAANG/blob/master/Algorithms/Top_LeetCode_Questions_By_Company.md

What are some alternatives?

When comparing Complete-Placement-Preparation and FAANG you can also consider the following projects:

google-cloud-ops-agents-ansible - Ansible Role for Google Cloud Ops

DSA-Bootcamp-Java - This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.

grind-helper - Website that helps you to grind leetcode based on your previous activity

Data-Structures-and-Algorithms - Important data structures and algorithms implemented in Java along with solutions to AlgoExpert problems and some Leetcode problems.

Grokking-the-Coding-Interview-Patterns - This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems. [UnavailableForLegalReasons - Repository access blocked]

react-native-touch-id - React Native authentication with the native Touch ID popup.

python-cp-cheatsheet - Python3 interview prep cheatsheet and examples

LeetCode - LeetCode solutions, classified by tags of companies and topics.

developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.

HackerRank-in-Java - Solutions of HackerRank problems.

awesome-nodejs - :zap: Delightful Node.js packages and resources

SubsetSum-BacktrackAlgorithm - Solving the popular NP problem, The Subset Sum Problem, with an Amortized O(n) algorithm based on Recursive Backtracking. The Algorithm stood second fastest in the organized Intra-University competition.