Technical Interview July 2022 Newsletter

Published in

Data Science Bootcamp

5 min readJul 4, 2022

It is a bad economy right now. With tech layoffs happening everywhere, our members could use a technical interview review and boost. These are bonus newsletters on the topic of technical interviews. There will still be a deep learning and data science newsletter this month, and will be released shortly.

In this technical interview math review series, we will go over some of the math tricks, patterns used in technical interviews. It’s a special bonus newsletter. These flashcards are especially useful for bootcamp graduates, who didn’t go through the traditional computer science training.

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Technical interview basics

Bible of Technical Interview. You might have heard of the bible of technical interviews — Cracking the Coding Interview (written in Java), and its author — Gayle Laakmann McDowell. The author is no ordinary author. She also taught at UPenn and UDub (university of Washington). In her book Gayle (who not only wrote the book but made hiring decisions at Google and sat on the hiring committee) explains it’s not just about past academic history or research. “To crack the coding interview. You need to prepare with real interview questions. You must practice on real problems and learn their patterns. It’s about developing fresh algorithms, not memorizing existing problems.”

The interviews at big tech (FANG companies) is a process, decisions are made relatively systematically: decisions are made in groups by the hiring team, there’s a scoring system for each skill, there are many rounds of interviews and a final approval before decisions are made. At Google there’s even a hiring committee that will review your recruiting profile and performance. Especially at google, after each interview the person will score you. The process is a bit faster at Microsoft. In this tech layoff tsunami, nowhere is easy, and highly paid tech positions are highly desirable. Big tech (fang companies) also care a lot about scalable code. They have huge user base, handles big data. Be sure to check out our Rehtinking Fibonacci Sequence interviews guides below.

Technical Interview Basics [public]

https://ml.learn-to-code.co/skillView.html?skill=vD6byOBzthJLgtmqmcUS

Binary Numbers, Bit Manipulation, Hexademical

Memory units bit, nibble, byte [public]

https://ml.learn-to-code.co/skillView.html?skill=JtLrME3XnTCEiUXivICV

Bit manipulation overflow error, max integer example [public]

https://ml.learn-to-code.co/skillView.html?skill=7wLuRBPKjuZHbVBE04a1

What is Hexadecimal, base-16 numbers? (definition) Part 1 [public, pro tip, high quality]

https://ml.learn-to-code.co/skillView.html?skill=UpZzl8OpW1PiAIvsAmOT

What is Hexadecimal, base-16 numbers? (definition) Part 2 [public, pro tip, high quality]

https://ml.learn-to-code.co/skillView.html?skill=jS3ouYSNs8tZMgirvrgE

What is Hexadecimal, base-16 numbers? (definition) Part 3 Converting binary numbers to hexadecimals. [public, pro tip, high quality]

https://ml.learn-to-code.co/skillView.html?skill=vLGXEZq2XUXVTdiUURqd

Uniqtech Guide to Decimal, Binary Number and Hexadecimal [public, pro tip, high quality]

https://ml.learn-to-code.co/skillView.html?skill=eHE5d0U0gAAQMFpiu0sC

Math numbers series, infinite series, numeric series

1/2 + 1/4 + 1/8 + 1/16 + ⋯ Math infinite series [public]

https://ml.learn-to-code.co/skillView.html?skill=CfQfCuu3ZPKQr2777NmG

Question : What is 1 + 2 + 3… + (n-2) + (n-1) + n ? infinite series, math series https://ml.learn-to-code.co/skillView.html?skill=EddCdch760nGLmK5ojx3

What is 1 + 2 + 3… + (n-2) + (n-1) + n ? Part 2 What’re triangular numbers?

https://ml.learn-to-code.co/skillView.html?skill=s2F3Rf4Ub1RrVoccKLhl

Floating Point, Precision

Interview Math Series : Python Floating Point [public]

https://ml.learn-to-code.co/skillView.html?skill=1FB3bXOjBwpHk1me5gom

Technical interview at Google and FANG companies

Technical Interviews: Rethink Fibonacci sequence Part 01 [pro]

https://ml.learn-to-code.co/skillView.html?skill=3dIanBS4HZb5L2YNhiM2

Technical Interviews: Rethink Fibonacci sequence Part 02. Understand how does a simple fibonacci implementation using recursion may never finish. How the call tree grows, and how dynamic programming can help. [pro]

https://ml.learn-to-code.co/skillView.html?skill=9CAChVxR30qiA151APRZ

Technical Interviews: Rethink Fibonacci sequence Part 2.5 [pro]

https://ml.learn-to-code.co/skillView.html?skill=FzJZYqBFcPey88mSAFVX

Technical Interviews: Rethink Fibonacci sequence Part 03. Fibonacci dynamic programming implementation with cache. [pro]

https://ml.learn-to-code.co/skillView.html?skill=ofIY91tPTAftQwc8kzVG

Technical Interviews: Rethink Fibonacci sequence Part 04. Medium article on fibonacci [public]

https://ml.learn-to-code.co/skillView.html?skill=NpZ6NteL9QiAGTWc6Bvf

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Linear Algebra, Matrix Math, Deep Learning Math

L2 Norm ||v|| or ||u|| [public]

https://ml.learn-to-code.co/skillView.html?skill=d0y0VC6uq9EGf76jBQij

Chain Rule, Review [public]

https://ml.learn-to-code.co/skillView.html?skill=Q71hxQGPCtEB9xUY7LM1

Deep Learning math formula basics [pro, high quality]

https://ml.learn-to-code.co/skillView.html?skill=PQhmnCII2bh6oClghsCT

Unit vectors (definition)

https://ml.learn-to-code.co/skillView.html?skill=T1xTBPuy50bdEdTZaGUw

Programming Basics and Python Basics

Might be useful for bootcamp graduates

Quiz : What does the Python keyword from mean? [public]