https://StackShare.io and https://FounderKit.com are great places to find reviews of SaaS services:

> mails,

https://founderkit.com/growth-marketing/email-marketing/revi...

https://stackshare.io/email-marketing

https://zapier.com/learn/email-marketing/

> text gateways,

https://founderkit.com/apis/sms/reviews

https://stackshare.io/voice-and-sms

> payments

https://founderkit.com/apis/credit-card-processing/reviews

https://stackshare.io/payment-services

Both have categories:

https://stackshare.io/categories

https://founderkit.com/reviews

Subvocalization https://en.wikipedia.org/wiki/Subvocalization

Speed reading https://en.wikipedia.org/wiki/Speed_reading

> The potential energy of the pyramid—the energy needed to lift the mass above ground level—is simply the product of acceleration due to gravity, mass, and the center of mass, which in a pyramid is one-quarter of its height. The mass cannot be pinpointed because it depends on the specific densities of the Tura limestone and mortar that were used to build the structure; I am assuming a mean of 2.6 metric tons per cubic meter, hence a total mass of about 6.75 million metric tons. That means the pyramid’s potential energy is about 2.4 trillion joules.

In "Lost Technologies of the Great Pyramid" (2010) and "The Great Pyramid Prosperity Machine: Why the Great Pyramid was Built!" (2011), Steven Myers contends that the people who built the pyramids were master hydrologists who built a series of locks from the Nile all the way up the sides of the pyramids and pumped water up to a pool of water on the topmost level; where they used buoyancy and mechanical leverage by way of a floating barge crane in order to place blocks. This would explain how and why the pyramids are water tight, why explosive residue has been found in specific chambers, and why boats have been found buried at the bases of the pyramids.

https://www.amazon.com/dp/B0045Y26CC/

There are videos: http://www.thepump.org/video-series-2

https://www.youtube.com/playlist?list=PLt_DvKGJ_QLYvJ3IdVKXU...

I'm not aware of other explanations for how friction could have been overcome in setting the blocks such that they are watertight (in the later Egyptian pyramids).

AFAIU, the pyramids of South America appear to be of different - possibly older - construction methods.

How many degrees Celsius hotter would that be for billions of people in 50 years?

> The Paris Agreement's long-term temperature goal is to keep the increase in global average temperature to well below 2 °C above pre-industrial levels; and to pursue efforts to limit the increase to 1.5 °C, recognizing that this would substantially reduce the risks and impacts of climate change. This should be done by reducing emissions as soon as possible, in order to "achieve a balance between anthropogenic emissions by sources and removals by sinks of greenhouse gases" in the second half of the 21st century. It also aims to increase the ability of parties to adapt to the adverse impacts of climate change, and make "finance flows consistent with a pathway towards low greenhouse gas emissions and climate-resilient development."

> Under the Paris Agreement, each country must determine, plan, and regularly report on the contribution that it undertakes to mitigate global warming. [6] No mechanism forces [7] a country to set a specific emissions target by a specific date, [8] but each target should go beyond previously set targets.

And then this is what was decided:

> In June 2017, U.S. President Donald Trump announced his intention to withdraw the United States from the agreement. Under the agreement, the earliest effective date of withdrawal for the U.S. is November 2020, shortly before the end of President Trump's 2016 term. In practice, changes in United States policy that are contrary to the Paris Agreement have already been put in place.[9]

https://en.wikipedia.org/wiki/Paris_Agreement

> The difficulty of the calculations are determined by how many zeroes need to be at the front. [...]

The difficulty is actually not determined by the number of zeroes (as was initially the case).

https://en.bitcoinwiki.org/wiki/Difficulty_in_Mining :

> The Bitcoin network has a global block difficulty. Valid blocks must have a hash below this target. Mining pools also have a pool-specific share difficulty setting a lower limit for shares.

"Less than" instead of "count leading zeroes" makes it possible for the difficulty to be less broadly adjusted in a difficulty retargeting.

Difficulty retargetings occur after up to 2016 blocks (~10 minutes, assuming the mining pool doesn't suddenly disappear resulting in longer block times that could make it take months to get to 2016 blocks according to "What would happen if 90% of the Bitcoin miners suddenly stopped mining?" https://bitcoin.stackexchange.com/questions/22308/what-would... )

Difficulty is adjusted up or down (every up to 2016 blocks) in order to keep the block time to ~10 minutes.

The block reward halving occurs every ~4 years (210,000 blocks).

Relatedly, Moore's law observes/predicts that processing power (as measured by transistor count per unit) will double every 2 years while price stays the same. Is energy efficiency independent of transistor count? https://en.wikipedia.org/wiki/Moore%27s_law

> When asked, Google confirmed that the designs were an internal idea it explored last year but decided not to pursue as part of [Google Contributor] and Google Funding Choices, which lets sites ask visitors to disable ad blockers, or instead buy a subscription or pay a per page fee to remove ads.

Could this be built on Web Monetization API (ILP (Interledger Protocol)) and e.g. Google Pay as one of many possible payment/card/cryptocurrency processing backends; just like Coil is built on Web Monetization API?

Coil: $5/mo, Content creators get a proportional cut of that amount according to what is browsed with the browser extension enabled or the Puma browser, and Private: No Tracking

> Coil sends payments via the Interledger Protocol, which allows any currency to be used for sending and receiving.

https://github.com/coilhq

It looks like the Web Monetization API is not yet listed on the Website Monetization Wikipedia page: https://en.wikipedia.org/wiki/Website_monetization

Quoting from earlier this week:

> Web Monetization API (ILP: Interledger Protocol)

>> A JavaScript browser API which allows the creation of a payment stream from the user agent to the website.

>> Web Monetization is being proposed as a #W3C standard at the Web Platform Incubator Community Group.

> https://webmonetization.org/

> Interledger: Web Monetization API https://interledger.org/rfcs/0028-web-monetization/

Website monetization https://en.wikipedia.org/wiki/Website_monetization

Web Monetization API (ILP: Interledger Protocol)

> A JavaScript browser API which allows the creation of a payment stream from the user agent to the website.

> Web Monetization is being proposed as a #W3C standard at the Web Platform Incubator Community Group.

https://webmonetization.org/

Interledger: Web Monetization API https://interledger.org/rfcs/0028-web-monetization/

Khan Academy, for example, accepts BAT (Basic Attention Token) micropayments/microdonations that e.g. Brave browser users can opt to share with the content producers and indexers. https://en.wikipedia.org/wiki/Brave_(web_browser)#Basic_Atte...

Web Monetization w/ Interledger should enable any payments system with low enough transaction costs ("ledger-agnostic, currency agnostic") to be used to pay/tip/donate to content producers who are producing unsensational, unbiased content that people want to pay for.

Paywalls/subscriptions and ads are two other approaches to funding quality journalism.

Should journalists pay ScholarlyArticle authors whose studies they publish summaries of without even citing the DOI/URL and Title; or the journals said ScholarlyArticles are published in? https://schema.org/ScholarlyArticle

> Thermal Camera Imager for Fever Screening with USB Video Output - UTi165K. PRODUCT ID: 4579 https://www.adafruit.com/product/4579

> This video camera takes photos of temperatures! This camera is specifically tuned to work in the 30˚C~45˚C / 86˚F~113˚ F range with 0.5˚C / 1˚ F accuracy, so it's excellent for human temperature & fever detection. In fact, this thermal camera is often used by companies/airports/hotels/malls to do a first-pass fever check: If any person has a temperature of over 99˚F an alarm goes off so you can do a secondary check with an accurate handheld temperature meter.

> You may have seen thermal 'FLIR' cameras used to find air leaks in homes, but those cameras have a very wide temperature range, so they're not as accurate in the narrow range used for fever-scanning. This camera is designed specifically for that purpose!

... USB Type-C, SD Card; no price listed yet?

Thanks!

Year 2038 Problem > Solutions is already updated re: 5.6. https://en.wikipedia.org/wiki/Year_2038_problem

To calculate the ROI of YC investments, we could find the terms of the YC investments (x for y%, preference) and find the exit rate (what % of companies exit).

We could search for 'ROI of ycombinator investments' and find valuation numbers from a number of years ago.

From the first page of search results, we'd then learn about "return on capital" and how the standard YC seed terms have changed over the years.

Return on capital: https://en.wikipedia.org/wiki/Return_on_capital

From the See also section of this Wikipedia page, we might discover "Cash flow return on investment" and "Rate of return on a portfolio"

From the "rate of return" Wikipedia page, we might learn that "The return on investment (ROI) is return per dollar invested. It is a measure of investment performance, as opposed to size (c.f. return on equity, return on assets, return on capital employed)." and that "The annualized return of an investment depends on whether or not the return, including interest and dividends, from one period is reinvested in the next period. " https://en.wikipedia.org/wiki/Rate_of_return

From the YCombinator Wikipedia page, we might read that "The combined valuation of the top YC companies was over $155 billion as of October, 2019. [4]" and that "As of late 2019, Y Combinator had invested in >2,000 companies [37], most of which are for-profit. Non-profit organizations can also participate in the main YC program. [38]" and then read about "seed accelerators" and then "business incubators" in search of appropriate metrics for comparing VC performance. https://en.wikipedia.org/wiki/Y_Combinator

ROI is such a frou frou statistic anyway. What does that even mean, ROI? In any case, YC itself is not a public company, per se, AFAICT, so, it's not so easy as going to https://YCharts.com, entering the equity symbol, clicking on "Key Stats", and scrolling down to "Profitability" to review [Gross | EBITDA | Operating] [Profit] Margin.

The LTSE (Long-Term Stock Exchange) is where people who are in this for real are really doing it now.

This looks really useful.

At first glance, I found a number of ways to push transaction data into Google Sheets from the Plaid API:

build-your-own-mint (NodeJS, CircleCI) https://github.com/yyx990803/build-your-own-mint

go-plaid: https://github.com/ebcrowder/go-plaid

Presumably, like the GOOGLEFINANCE function, there's some way to pull data from an API with just Apps Script (~JS) without an auxiliary serverless function to get the txs from Plaid and post to the gsheets API?

Source: jupyterlab/debugger https://github.com/jupyterlab/debugger

"Getting Started with Qiskit" https://qiskit.org/documentation/getting_started.html

Qiskit / qiskit-community-tutorials > "1 Hello, Quantum World with Qiskit" https://github.com/Qiskit/qiskit-community-tutorials#1-hello...

"Quantum basics with Q#" https://docs.microsoft.com/en-us/quantum/quickstart?tabs=tab...

Qutip notebooks: https://github.com/qutip/qutip#run-notebooks-online

Jupyter Notebooks labeled quantum-computing: https://github.com/topics/quantum-computing?l=jupyter+notebo...

Are life sciences and healthcare familiar verticals for YC?

Good to see money and talent going to such good use.

(Edit) Here's the YC Companies list; which doesn't yet list these new investments:

Biomedical vertical: https://www.ycombinator.com/companies/?vertical=Biomedical

Healthcare vertical: https://www.ycombinator.com/companies/?vertical=Healthcare

"The Y Combinator Database" https://www.ycdb.co/

Average of a finite series: There's a statistics module in Python 3.4+:

  X = [1, 2, 3]

  from statistics import mean, fmean
  mean(X)

  # may or may not be preferable to
  sum(X) / len(X)

Product of a terminating iterable:

  import operator
  from functools import reduce
  # from itertools import accumulate
  reduce(operator.mul, X)

  from numpy import linalg as LA
  LA.norm(X)

Function domains and ranges can be specified and checked at compile-time with type annotations or at runtime with type()/isinstance() or with something like pycontracts or icontracts for checking preconditions and postconditions.

Dot product:

  Y = [4, 5, 6]
  np.dot(X, Y)

Unit vector:

  X / np.linalg.norm(X)

Infrared thermometer: https://en.wikipedia.org/wiki/Infrared_thermometer

Thermography: https://en.wikipedia.org/wiki/Thermography

IDK what the standard error is for medical temperature estimation with an e.g. FLIR ONE thermal imaging camera for an Android/iOS device. https://www.flir.com/applications/home-outdoor/

I'd imagine that sanitization would be crucial for any clinical setting.

(Edit) "Prediction of brain tissue temperature using near-infrared spectroscopy" (2017) Neurophotonics https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469395/

"Nirs body temperature" https://scholar.google.com/scholar?hl=en&as_sdt=0%2C43&q=nir...

"Infrared body temperature" https://scholar.google.com/scholar?hl=en&as_sdt=0%2C43&q=inf...

"Infrared thermometer iOS" https://m.alibaba.com/trade/search?SearchText=infrared%20the...

"Infrared thermometer Android" https://alibaba.com/trade/search?SearchText=infrared%20therm...

From "Ask HN: What algorithms should I research to code a conference scheduling app" https://news.ycombinator.com/item?id=15267804 :

> Resource scheduling, CSP (Constraint Satisfaction programming)

CSP: https://en.wikipedia.org/wiki/Constraint_satisfaction_proble...

Scheduling (production processes):

https://en.wikipedia.org/wiki/Scheduling_(production_process...

Scheduling (computing):

https://en.wikipedia.org/wiki/Scheduling_(computing)

... To an OS, a process thread has a priority and sometimes a CPU affinity.

From http://markmail.org/search/?q=list%3Aorg.python.omaha+pysche... :

Pyschedule:

- Src: https://github.com/timnon/pyschedule

From https://github.com/timnon/pyschedule :

> pyschedule is python package to compute resource-constrained task schedules. Some features are:

- precedence relations: e.g. task A should be done before task B

- resource requirements: e.g. task A can be done by resource X or Y

- resource capacities: e.g. resource X can only process a few tasks

Previous use-cases include:

- school timetables: assign teachers to classes

- beer brewing: assign equipment to brewing stages

- sport schedules: assign stadiums to games

... https://en.wikipedia.org/wiki/Slurm_Workload_Manager :

> Slurm is the workload manager on about 60% of the TOP500 supercomputers.[1]

Slurm uses a best fit algorithm based on Hilbert curve scheduling or fat tree network topology in order to optimize locality of task assignments on parallel computers.[2]

... https://en.wikipedia.org/wiki/Hilbert_curve_scheduling :

> [...] the Hilbert curve scheduling method turns a multidimensional task allocation problem into a one-dimensional space filling problem using Hilbert curves, assigning related tasks to locations with higher levels of proximity.[1] Other space filling curves may also be used in various computing applications for similar purposes.[2]

FWIW, Ethereum WASM (ewasm) has a cost (in "particles" ("gas")) for each WebAssembly opcode. [1]

Opcode costs help to incentivize efficient code.

ewasm/design /README.md [2] links to the complete WebAssembly instruction set. [3]

[1] https://ewasm.readthedocs.io/en/mkdocs/determining_wasm_gas_...

[2] https://github.com/ewasm/design/blob/master/README.md

[3] https://webassembly.github.io/spec/core/appendix/index-instr...

Is it possible to detect coronavirus with NIRS (Near-Infrared Spectroscopy)? https://en.wikipedia.org/wiki/Near-infrared_spectroscopy

FWIU, the equipment costs and scan times are lower with NIRS than with CT or MRI? And infrared is zero rads?

(Edit) I think it was this or the TED video that had the sweet demo: "The Science of Visible Thought & Our Translucent Selves | Mary Lou Jepsen | SU Global Summit" https://youtu.be/IRCXNBzfeC4

Are these devices in production?

One option: screencast development of a Jupyter notebook.

Jupyter Notebook supports LaTeX (MathTeX) and inline charts. You can create graded notebooks with nbgrader and/or with CoCalc (which records all (optionally multi-user) input such that you can replay it with a time slider).

Jupyter notebooks can be saved to HTML slides with reveal.js, but if you want to execute code cells within a slide, you'll need to install RISE: https://rise.readthedocs.io/en/stable/

Here are the docs for CoCalc Course Management; Handouts, Assignments, nbgrader: https://doc.cocalc.com/teaching-course-management.html

Here are the docs for nbgrader: https://nbgrader.readthedocs.io/en/stable/

You can also grade Jupyter notebooks in Open edX:

> Auto-grade a student assignment created as a Jupyter notebook, using the nbgrader Jupyter extension, and write the score in the Open edX gradebook

https://github.com/ibleducation/jupyter-edx-grader-xblock

Or just show the Jupyter notebook within an edX course: https://github.com/ibleducation/jupyter-edx-viewer-xblock

There are also ways to integrate Jupyter notebooks with various LMS / LRS systems (like Canvas, Blackboard, etc) "nbgrader and LMS / LRS; LTI, xAPI" on the "Teaching with Jupyter Notebooks" mailing list: https://groups.google.com/forum/#!topic/jupyter-education/_U...

"Teaching and Learning with Jupyter" ("An open book about Jupyter and its use in teaching and learning.") https://jupyter4edu.github.io/jupyter-edu-book/

> "Aerogel from fruit biowaste produces ultracapacitors with high energy density and stability" (2020) https://www.sciencedirect.com/science/article/pii/S2352152X1...

Years ago, I remember reading about supercapacitor electrodes made from what would be waste hemp bast fiber. They used graphene as a control. And IIRC, the natural branching structure in hemp (the strongest natural fiber) was considered ideal for an electrode.

"Hemp Carbon Makes Supercapacitors Superfast" https://www.asme.org/topics-resources/content/hemp-carbon-ma...

How do the costs and performance compare? Graphene, hemp, durian, jackfruit

While graphene production costs have fallen due to lots of recent research, IIUC all graphene production is hazardous due to graphene's ability to cross the lungs and the blood-brain barrier?

"12 Awesome (& Educational) STEM Subscription Boxes for Kids" https://stemeducationguide.com/subscription-boxes-for-kids/

Tape measure with big numbers, ruler(s)

Measuring cup, water, ice.

"Melissa & Doug Sunny Patch Dilly Dally Tootle Turtle Target Game (Active Play & Outdoor, Two Color Self-Sticking Bean Bags, Great Gift for Girls and Boys - Best for 3, 4, 5, and 6 Year Olds)"

Set of wooden blocks in a wood box; such as "Melissa & Doug Standard Unit Blocks"

...

https://sugarlabs.org/ , GCompris mouse and keyboard games with a trackpad and a mouse, ABCMouse, Khan Academy Kids, Code.org, ScratchJr (5-7), K12 Computer Science Framework https://k12cs.org/

This looks useful. Are there pending standards for other browser storage mechanisms than an in-memory FS?

Would it be a security risk to grant limited local filesystem access by domain; with a storage quota?

... To answer my own question, it looks like the FileSystem API is still experimental and only browser extensions can request access to the actual filesystem: https://developer.mozilla.org/en-US/docs/Web/API/FileSystem

+1. From the letter: https://www.blackrock.com/us/individual/larry-fink-ceo-lette...

> The money we manage is not our own. It belongs to people in dozens of countries trying to finance long-term goals like retirement. And we have a deep responsibility to these institutions and individuals – who are shareholders in your company and thousands of others – to promote long-term value.

> Climate change has become a defining factor in companies’ long-term prospects. Last September, when millions of people took to the streets to demand action on climate change, many of them emphasized the significant and lasting impact that it will have on economic growth and prosperity – a risk that markets to date have been slower to reflect. But awareness is rapidly changing, and I believe we are on the edge of a fundamental reshaping of finance.

> The evidence on climate risk is compelling investors to reassess core assumptions about modern finance. Research from a wide range of organizations – including the UN’s Intergovernmental Panel on Climate Change, the BlackRock Investment Institute, and many others, including new studies from McKinsey on the socioeconomic implications of physical climate risk – is deepening our understanding of how climate risk will impact both our physical world and the global system that finances economic growth.

Environmental, social and corporate governance > Responsible investment: https://en.wikipedia.org/wiki/Environmental,_social_and_corp...

Corporate social responsibility: https://en.wikipedia.org/wiki/Corporate_social_responsibilit...

UN-supported PRI: Principles for Responsible Investment (2,350 signatories (2019-04)) https://en.wikipedia.org/wiki/Principles_for_Responsible_Inv...

It's both cost-rational and environment-rational to invest heavily in clean energy (with or without the comparatively paltry tax incentives).

The long-term costs of climate change and inaction are unfortunately still mostly external costs to energy producers. We should expect that to change as we start developing competencies in evaluating the costs and frequency of weather disasters exacerbated by anthropogenic climate change. We all get to pay for floods, fires, tornados, hurricanes, landslides, blizzards, and the gosh darn heat.

Insurance firms clearly see these costs. Our military sees the costs of responding to natural disasters. Local economies see the costs of months and years spent on disaster relief; on just getting back up to speed so that they can generate profit from selling goods and services (and pay taxes to support disaster relief efforts essential to operational readiness).

The cost per kilowatt hour of wind (and solar) energy is now lower than operating existing dirty energy plants that dump soot on our crops, air, and water.

With wind, they talk about the "alligator curve". With solar, it's the "duck curve". Grid-scale energy storage is necessary for reaching 100% renewable energy as soon as possible.

Iowa's renewable energy tax incentives are logically aligned with international long-term goals:

UN Sustainable Development Goal 7: Affordable and Clean Energy https://www.globalgoals.org/7-affordable-and-clean-energy

Goal 13: Climate Action https://www.globalgoals.org/13-climate-action

SDG Target 12.6: "Encourage companies to adopt sustainable practices and sustainability reporting" (CSR; e.g. GRI Sustainability Reporting Standards that we can score portfolios with)

https://www.undp.org/content/undp/en/home/sustainable-develo... :

> Rationalize inefficient fossil-fuel subsidies that encourage wasteful consumption by removing market distortions, in accordance with national circumstances, including by restructuring taxation and phasing out those harmful subsidies, where they exist, to reflect their environmental impacts, taking fully into account the specific needs and conditions of developing countries and minimizing the possible adverse impacts on their development in a manner that protects the poor and the affected communities

...

> Thanks. How can I say "try and only run this [computational workload] in zones with 100% PPA offsets or 100% directly sourced #CleanEnergy"? #Goal7 #Goal11 #Goal12 #Goal13 #GlobalGoals #SDGs

It makes good business sense to invest in clean energy to take advantage of tax incentives, minimize future costs to other business units (e.g. insurance, taxes), and earn the support of investors choosing portfolios with long term environmental (and thus economic) sustainability as a primary objective.

"Scientists Have Discovered a Drug That Fixes Cavities and Regrows Teeth" https://futurism.com/neoscope/scientists-have-discovered-thi...

Tideglusib https://en.wikipedia.org/wiki/Tideglusib

The GNU/Linux kernel, FreeBSD kernel, Windows kernel, MacOS kernel, Python, Ruby, Perl, PHP, NodeJS, and NumPy are all written in C. If you want to review and contribute code, you'd need to learn C.

There are a number of coding guidelines e.g. for safety-critical systems where bounded running time and resource consumption are essential. These coding guidelines and standards are basically only available for C, C++, and Ada. https://github.com/stanislaw/awesome-safety-critical/blob/ma...

Even though modern languages have garbage-collection that runs whenever it feels like it, It's helpful to learn about memory management in C (or C++). You'll appreciate object destructor methods that free memory and sockets and file handles that much more. Reference cycles in object graphs are easier to handle with modern C++ than with C. Are there RAII (Resource Acquisition is Initialization) "smart pointers" that track reference counts in C?

Without OO namespacing, in C, function names are often prefixed with namespaces. How many ways could a struct be initialized? When can I free that memory?

When strace prints a syscall, what is that?

Is it necessary to learn C? Somebody needs to maintain and improve the C-based foundation for most of our OSs and very many of our fancy scripting languages. C can be very unforgiving: it's really easy to do it wrong, and there's a lot to keep in mind at once: the cognitive burden is higher with C (and then still with ASM and WebASM) than with an interpreted (or compiled) duck-typed 3GL scripting language with first-class functions.

What's a good progression that includes syntax, finding and reading the libc docs, Make/CMake/Autotools, secure recommended compiler flags for GCC (CPPFLAGS, CFLAGS, LDFLAGS) and LLVM Clang?

C: https://learnxinyminutes.com/docs/c/

C++: https://learnxinyminutes.com/docs/c++/

Links to the docs for Libc and other tools: https://westurner.github.io/tools/#libc

xeus-cling is a Jupyter kernel for C++ (and most of C) that works with nbgrader. https://github.com/QuantStack/xeus-cling

What's a better unit-testing library for C/C++ than gtest? https://github.com/google/googletest/

This is a good list of books. Unfortunately many of the links are broken? Probably just my luck, but the first few "with Sage" books I excitedly selected unfortunately 404'd. I'll send an email.

> Moreover, the American Institute of Mathematics maintains a list of approved open-source textbooks. https://aimath.org/textbooks/approved-textbooks/

I also like the (free) Green Tea Press books: Think Stats, Think Bayes, Think DSP, Think Complexity, Modeling and Simulation in Python, Think Python 2e: How To Think Like a Computer Scientist https://greenteapress.com/wp/

And IDK how many times I've recommended the book for the OCW "Mathematics for Computer Science" course: https://ocw.mit.edu/courses/electrical-engineering-and-compu...

There may be a newer edition than the 2017 version of the book: https://courses.csail.mit.edu/6.042/spring17/mcs.pdf

FWIW, this segfaults CPython in 2 lines:

  import ctypes
  ctypes.cast(1, ctypes.py_object)

  import ctypes, gc
  x = 22
  _id = id(x)
  del x
  gc.collect()
  y = ctypes.cast(_id, ctypes.py_object).value
  assert y == 22

+1 for Life Skills for Adulting and also Home Economics including Family and Meal Planning.

A bunch of resources from "Consumer science (a.k.a. home economics) as a college major" https://news.ycombinator.com/item?id=17894632 : CS 007: Personal Finance for Engineers, r/personalfinance/wiki, Healthy Eating Plate, Khan Academy > Science > Health and Medicine

And also, Instant Pot. The Instant Pot pressure cooker is your key to nutrient preservation and ultimate happiness.

And it works on my phone now?!

If there is demand for housing, we would expect people to be finding land and building housing unless there are policies that prevent this (and/or long commutes that people don't want to suffer) or higher-value opportunities.

If the city wanted residential areas (over commercial tax revenue giants), the city should have zoned residential.

The people elect city leaders. The people all want affordable housing.

With $4.5b from corporations and nowhere to build but out or up, high rise residential is the most likely outcome. (Which is typical for dense urban areas that have prioritized and attracted corporate tax revenue over affordable housing)

... Effing scooter bros with their scooters and their gold rush money and their tiny houses.

[Edit: more than] One company says "I will pay you $10,000 to leave the Bay Area / Silicon Valley" Because there's a lot of tech talent (because universities and opportunities) but ridiculously high expenses.

What an effectual headline from NY.

No, LXC does quite a bit more than static linking. An inability to recognize that likely has nothing to do with generation.

Can you launch a process in a chroot, with cgroups? Okay, now upgrade everything it's linked with (without breaking the host/build system)

Configure a host-only network for a few processes – running in separate cgroups – without DHCP.

Criticize Docker? Rootless builds and containers are essentially impossible. Buildah and podman make rootless builds possible without a socket. Like sysvinit, though, IDK how well centralized logging (and logshipping, and logged crashes and restarts) works without that socket.

Given comments like this, it's likely that you've never built a chroot for a different distro. Or launchd a process with cgroups.

This looks excellent. The ability to generate the Python code for the pandas dataframe transformations looks to be more useful than OpenRefine, TBH.

How much work would it be to use Dask (and Dask-ML) as a backend?

I see the OneHotEncoder button. Have you considered integration with Yellowbrick? They've probably already implemented a few of your near-future and someday roadmap items involving hyperparameter selection and model selection and visualization? https://www.scikit-yb.org/en/latest/

This video shows more of the advanced bamboolib features: https://youtu.be/I0a58h1OCcg

The live histogram rebinning looks useful. Recently I read about a 'shadowgram' / ~KDE approach with very many possible bin widths translucently overlaid in one chart. https://stats.stackexchange.com/questions/68999/how-to-smear...

Yellowbrick also has a bin width optimization visualization in yellowbrick.target.binning.BalancedBinningReference: https://www.scikit-yb.org/en/latest/api/target/binning.html

Great work.

> They’ve created a single platform that can be easily modified to do any number of jobs. For instance, their flagship product, the Dannar 4.00, can accept over 250 attachments from CAT, John Deere, or Bobcat. […] Having interoperability with so many different types of equipment, one platform can easily perform many tasks over the course of a year. This is a huge win for cash strapped municipalities. Why would a company or municipality opt to have a backhoe parked all winter long when it could be doing another job?

Does it have regenerative brakes?

There's a sphinx extension (sphinxcontrib-sdedit) [1] for sdedit ("Quick Sequence Diagram Editor") which does require Java [2].

[1] https://pypi.org/project/sphinxcontrib-sdedit/

[2] http://sdedit.sourceforge.net/