Notes from 4/11/20

Hum Qing Ze

7 min readNov 16, 2020

Blockchain

Binance Tai-Chi Document

Tips and tricks to evade the US government

How to Implement an ERC721 Market

It seems quite simple except that you need to have your own currency for this market

Career

What does an executive do

Job #1: Convince smart people to work with me.

Job #2: Allocate scarce resources.

Job #3: Craft vision.

Job #4: Break ties.

Job #5: Curate Culture.

Job #6: Advocate, explain, and be held accountable.

On Great Thoughts Fridays:

Friday afternoons for years — great thoughts only — means that I committed 10% of my time trying to understand the bigger problems in the field, i.e. what was and what was not important. I found in the early days I had believed `this’ and yet had spent all week marching in `that’ direction. It was kind of foolish. If I really believe the action is over there, why do I march in this direction? I either had to change my goal or change what I did. So I changed something I did and I marched in the direction I thought was important.

I think this is a great idea. In addition to 20% time (where a lack of productivity is almost the primary short term goal), I would love to devote some portion of my schedule to thinking about what is and isn’t important.

Also, the format this is done is great > take up key quotes and critique slightly

Opinionated guides

Interesting how some kid comes up with this and it gets famous

How To Identify A Problem Worth Solving

Frequency — how often does your customer experience this problem?
Intensity — how painful is this problem to your customer?
Willingness to pay — how much is your customer willing to pay to make this problem go away?

How to Identify a Future Billionaire, According to a Legendary Investor

“Delusional, with skill.”

First of all, Jason says that he doesn’t pay too much attention to the business ideas he’s presented with. The only thing he’s looking for is personality.

“You have to bet on people. Because even an entrepreneur who maybe builds the wrong product in the wrong market, they’ll be smart enough and indefatigable enough, resilient enough to realize ‘oh, this didn’t work, let’s make a couple little adjustments, maybe a full pivot.’ And they’ll figure it out.”

All about product careers

Range: How Generalists Triumph in a Specialized World
The Start-up of You: Adapt to the Future, Invest in Yourself, and Transform Your Career
Cracking the PM Interview: How to Land a Product Manager Job in Technology
Mindset — Updated Edition: Changing The Way You think To Fulfil Your Potential
Designing Your Life: Build the Perfect Career, Step by Step
The First 90 Days, Updated and Expanded: Proven Strategies for Getting Up to Speed Faster and Smarter

We Analyzed 180K Business Proposals (You’ll Never Guess What We Found!)

However, our report has shown that you should consider the following elements when creating your proposal:

Use a template
Include a proposal cover
Use live chat
Send an online version of the proposal (don’t print)
Make it 6 pages long
Cram the word investment into the title
Send it within 24 hours from contact with the client

Climate

EIB Group adopts Climate Bank Roadmap and approves € 400 million for COVAX initiative to ensure global access to COVID-19 vaccine, part of € 7.8 billion for COVID-19 support, transport, water and cities.

Climate Roadmap if i ever need to look at what the EU is doing for this

Will have to look at it’s criticisms and praiess

Data

ML Infrastructure Tools for Production (Part 1)

Full Stack Data Science: The Next Gen of Data Scientist Cohort

Distributed Data Processing/Machine Learning: Getting hold of hands-on experience with technologies such as Apache Spark, Apache Hadoop, Dask, etc. can help you prove that you can create Data/ML pipelines at scale. Having experience with anyone of them should be good to go, but I would recommend Apache Spark(either in Python or Scala) the go-to.
Production ML/Data Pipelines: If you can get hands-on experience with Apache Airflow, a standard open-source job orchestration tool for creating data and machine learning pipelines. This is currently used in the industry so, it’s recommended to learn and get some projects around it.
DevOps/Cloud: DevOps is very much neglected by most of the data science aspirants. If you don’t have an infrastructure, how would you build ML pipelines? It’s not as easy as we do in the coursework to build notebooks or code that run on your local machine. The code that you write should be scalable across infrastructure that you or other folks might create on your team. Many companies might not have the ML infrastructure already laid out and might be looking for someone to start with. Getting familiar with Docker, Kubernetes, and building ML applications with frameworks like Flask should be your standard practice even during your coursework. I love Docker as it’s scalable and you can build infrastructure images and replicate the same things on servers/cloud on Kubernetes clusters.
Databases: Knowing databases and query languages is a must. SQL is very much neglected, but It’s still the industry standard, be it on any cloud platform or databases. Start practicing complex SQLs on leetcode, which is gonna help you with some part of coding interviews in DS profiles as you will be responsible for bringing in data from warehouses with on-the-go preprocessing, which will ease up your job on preprocessing before running ML models. Most of the feature engineering can be done on-the-go while getting the data to your models with SQL, which is an aspect many people neglect.
Programming Languages: The recommended programming languages for data science are Python, R, Scala, and Java. Knowing anyone of them is fine and can do the trick. For ML kind of roles, there’s going to be live coding rounds in the interview process so you need to practice wherever you are comfortable — Leetcode, Hackerrank, or anything you prefer.

Development

Foundations of Software Engineering

Course by CMU — it’s so important to know all these!

Architecture playbook

Useful to have as a reference

Learn Ruby on Rails by Creating a Friends List App

Need to see how people teach this

Solidify Your React Skills by Building 15 Projects — Free Course

Need to see how react works

Birthday Reminder
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Learn Microsoft Excel — Full Video Course

enter data,
navigate through a spreadsheet,
create formulas to solve problems,
create charts and graphs,
understand relative vs absolute references,
import and export data,
implement VLOOKUP,
use pivot tables,
split and concatenate text,
and more.

What is Metaprogramming in JavaScript? In English, please.

Simply put, Metaprogramming involves writing code that can

Generate code
Manipulate language constructs at the run time. This phenomenon is known as Reflective Metaprogramming or Reflection.

Philosophy

Beyond Good and Evil: Nietzsche on Love, Perseverance, and true mark of greatness

It is not the strength, but the duration of great sentiments that makes great men.
A man of genius is unbearable, unless he possess at least two things besides: gratitude and purity.
He who fights with monsters should be careful lest he thereby become a monster. And if thou gaze long into an abyss, the abyss will also gaze into thee.
What is done out of love always takes place beyond good and evil.

Product

Misinformation in Elections, Facebook accountability

Just include a friction point to slow blind sharing

Strategy

Unbundling Harvard: How The Traditional University Is Being Disrupted

Universities have had so much power for too long. Interesting how they’ve also unwittingly illustrated the core business of universities. Everything else is peripheral

How to build your strategy so it has its own network effect

Network effects also compound their value by creating positive feedback loops. One example of this effect is the tendency of people to gravitate to a dominant platform. As a network gains traction, more people use it, which makes it the natural choice for non-users. Often, this cycle results in products underpinned by a network effect becoming effective monopolies.

When considering the strategy, there are three ways organisations can invest in their network effect. These are:

Grow one part of the network: increasing the value it contributes, both as a standalone entity and through its connections to the whole.
Create/strengthen connections within the network: increasing the leverage of each area within the portfolio.
Add new participants into the network: which extend the scope of the entire network and creates more opportunities to do 1) and 2).