Kalanos

6 ms·

31.
by Kalanos 2y ago
With some serious repositioning, I think there is still an opportunity for Julia to displace Python tools like polars/pandas/numpy, airflow, and pytorch -- with a unified ecosystem that makes it easy to transition to GPU and lead
32.
by Kalanos 2y ago
In your opinion, is this the very best use of our time right now? Why is it better than every other alternative?
33.
by Kalanos 2y ago
https://en.wikipedia.org/wiki/Holiday_heart_syndrome
34.
by Kalanos 2y ago
You can create a dataframe from a list of dictionaries in pandas `df = pd.DataFrame([{},{},{}])`
35.
by Kalanos 2y ago
That is to say, the investments are bad because most of them are are overvalued. Who do you think is writing the Series B checks that puff them up to $1B?
36.
by Kalanos 2y ago
Who would have thought that a decade of: a bunch of consultants running copycat investment strategies, flushing money down the drain on crypto + indefensible AI wrappers, throwing cash at kids from Stanford with no real world experience, ch
37.
by Kalanos 2y ago
Continues to be the best by far
38.
by Kalanos 2y ago
Hadoop hasn't been relevant for a long time, which is telling. Unless I had thousands of files to work with, I would be loathe to use cluster computing. There's so much overhead, cost, waiting for nodes to spin up, and cloud archi
39.
by Kalanos 2y ago
Regarding compatibility, fireducks appears to be using the same column dtypes: ``` >>> df['year'].dtype == np.dtype('int32') True ```
40.
by Kalanos 2y ago
Linux only right now https://github.com/fireducks-dev/fireducks/issues/27
41.
by Kalanos 2y ago
The pandas API makes a lot more sense if you are familiar with numpy. Writing pandas code is a bit redundant. So what? Who is to say that fireducks won't make their own API?
42.
by Kalanos 2y ago
Comments are enabled on the doc
43.
Product development framework beyond agile(docs.google.com)
4 points by Kalanos 2y ago|2 comments
44.
by Kalanos 2y ago
Consider that there are thousands of mitochondria (MT) in an individual muscle cell. Cell diagrams often make it look like there is one MT organelle. It's highly misleading. Single cell bacteria have thousands of genes. MT have a few d
45.
by Kalanos 2y ago
$28 bluelight glasses for the computer. $18 ceramic pans. $9 vertical monitor from thrift shop. $30 chirp wheel for back cracking. $180 theragun for muscles. Finds knots that you didn't know you had. used dell server towers with 128GB
46.
by Kalanos 2y ago
- Scientific literature - Wikipedia articles - YouTube videos - Google images
47.
by Kalanos 2y ago
my opinion is that targeting mTOR is fruitless because it's so broad and integral to life that it's like a self-righting ship or trying to sink a life preserver. as described in the conclusion: "This may be explained by the i
48.
by Kalanos 2y ago
The domain could also have been used to run spam email campaigns, meaning that it is blacklisted by email servers
49.
by Kalanos 2y ago
My cousin is an established radiologist. Since I am well-versed in AI, we talked about this at length. He says that the automated predictions help free up radiologists to focus on the edge cases and more challenging disease types.
50.
Notion is launching an email product - join the waitlist(techcrunch.com)
2 points by Kalanos 2y ago|0 comments
51.
by Kalanos 2y ago
The product role is far too broad. It's absurd. The more experience I get in both product and engineering leads me to believe that product should be a scout out ahead of the team, identifying the most valuable things to build. Product
52.
by Kalanos 2y ago
how will they handle heat?
53.
by Kalanos 2y ago
it is enticing. i did not find the syntax for working with ndim data to be intuitive though.
54.
by Kalanos 2y ago
things break due to shifting dependencies. also, if it isn't maintained by the company that made it, then it is a good sign that they are no longer using it. it suggests that there is a better solution elsewhere.
55.
by Kalanos 2y ago
calling attention to disclosure suggests bias. i'm obviously saying that i trust him not to be biased.
56.
by Kalanos 2y ago
who is a great technologist with a lot of hands on experience. if it made sense to leverage papermill, he would have done so and focused on something else.
57.
by Kalanos 2y ago
Is this still being developed? The last commit to the main library was 5 months ago and its tied to exceptions/tests.
58.
by Kalanos 2y ago
"their white blood cell count was high" that's just an alert, not ai
59.
by Kalanos 2y ago
Probably stopping at yellow lights and for pedestrians at crosswalks. It's a good way to get rear ended in Boston.
60.
by Kalanos 2y ago
Normalize 3 week sprints. Enables the team to do what they need to do. Less planning overhead. Enables the product manager to be more forward-looking and spend more time focused on customers/ market research.

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