Considering the San Andreas fault is less than two miles from where I live I will have a front row seat.
@minnbeef27 күн бұрын
Hmmm, maybe flyover country isn’t so bad after all? 🤔
@KartikPatel-nt4ff27 күн бұрын
😅😮😅😮😅😮😅😅😅😅😅well ingormeti0n.Good show more 😅
@johngraves6878Ай бұрын
Honestly, Santa Monica and the Westside looks to get hit much worse than the SF Valley where I live. And Palm Springs? Forget it. I don't understand why people live in Palm Springs. It's a mercilessly hot hell hole. not to mention sitting right on the fault. Hey, we were only a couple miles away from the epicenter in the 1994 Northridge quake. I don't think it's gonna get much worse than that! What's amazing is the Andreas quake takes more than a minute to reach the city of LA. That's a very long time. Oxnard and Ventura also seem to take a significant seismic hit.
@RonHudgens-ck5qeАй бұрын
A FEAR MONGERING SITE!!!
@perrolocoytАй бұрын
corona 2020
@weiwang9216Ай бұрын
Very helpful!
@user-de4hk2qt6sАй бұрын
We live in Los Angeles, so a 7.8 IS FRIGHTENING ENOUGH! IF I’m this simulation video the 7.8 can be shown how far it travels, I just wish it would also give the estimate magnitude each area would get hit with.
@Zack_11thАй бұрын
It look like black hole
@user-uo7fw5bo1oАй бұрын
I live nowhere near there so I'm good 😊
@uhadme2 ай бұрын
Earthquake that only lasts for one second, just like the real world.
@AA-gl1dr3 ай бұрын
Thank you!
@Defenetilynotme4 ай бұрын
Hmm i might be in massive trouble because im in san Bernardino
@charlanpennington3989Ай бұрын
Water , food, a way to cook with no electricity, how to potty if the sewage breaks. Protection of family. Pet food.
@mika90274 ай бұрын
It's beautiful!
@alfredfishFeet61324 ай бұрын
Im in between Oxnard and Santa Barbra so idk how it’s going to affect besides the shaking
@seisies-mama7 ай бұрын
Very interesting video
@calit29 ай бұрын
Awesome video!!
@rsprituraj17089 ай бұрын
Congratulations hokam
@kundanshaktawat48639 ай бұрын
Congratulations maasisa hokm
@yuvrajpurawat52859 ай бұрын
Congratulations Shweta jija
@dr.tarunashailendrasanadhy91859 ай бұрын
Super
@ace9087010 ай бұрын
Great lecture, thanks for sharing this! :)
@siruitao Жыл бұрын
Great content! Thanks
@benoryvan Жыл бұрын
invisable yae not gravitational
@habibmrad8116 Жыл бұрын
Amazing
@BatuKham Жыл бұрын
I can't believe corona spread to outer space
@NoAverageGuy1124 Жыл бұрын
LOL
@ericswain4177 Жыл бұрын
Lame ! Nothing more than propaganda. We still know very little about Earthquakes, you can Simulate all you want.
@cameronrutherford1765 Жыл бұрын
Awesome video!
@user-ei9bm7mv6h Жыл бұрын
.#zZz#.⚡⬆️⬇️💀☢☢☣......
@borey123xx9 Жыл бұрын
What the difference between an earthquake that hits a local area and one that runs up along the entire fault line?
@Lesloi62272 ай бұрын
What do you think it might be seriously?
@LoveAllJoyАй бұрын
It will be different for sure, a little less damage.
@QuintinMassey Жыл бұрын
What a helpful presentation. Thank you 🙏 also, my favorite question 1:02:10
@robinatwable Жыл бұрын
a great job, thanks a lot for introducing.
@googlegilbertlevinmars3222 жыл бұрын
Now we have corona virus. So convenient people.
@SamDig2 жыл бұрын
Galelyo is amazing, I always wondered why my cluster notebooks are in HTTP and not in HTTPS. This session was really good, thank you. And Yes, I too save commands that work. Indeed live demos fail most of the time. Thanks again.
@user-pg2tg2qr5b2 жыл бұрын
Thank you SDSC/HPC!
@jaredbland35332 жыл бұрын
0:04:00 Expanse: System Overview 0:33:30 Running Jobs on Expanse 1:17:08 Managing Your HPC Software Environment 2:27:32 Managing Allocations and Charging 2:44:45 Expanse User Portal 2:57:30 Interacting Computing and Running Jupyter Notebooks 3:22:00 Data Storage and Transfer
@tljstewart2 жыл бұрын
Thanks for sharing the great content, how did you make your slides? or might you have a template, I really like that style
@willis11392 жыл бұрын
It’s done in a beamer presentation from latex
@FIREiWATER2 жыл бұрын
Beautiful
@mad3m6n2 жыл бұрын
Awesome tutorial. Thanks
@farukhsaid8812 жыл бұрын
Great Matrix analogy. Thank you for sharing this!
@yl953 жыл бұрын
amazing
@hdenergy3 жыл бұрын
截波海浪发电是商产的主要方向。
@Teutathis3 жыл бұрын
To be honest, I don't entirely understand why ISPs are allowed to be ran for-profit by private entitites. They're basically the roads of the Internet and should be provided at cost.
@user-xe1ne9wi8j3 жыл бұрын
jj
@braa1943323 жыл бұрын
Thank you
@carlhempen58933 жыл бұрын
Bombay beach popping off right now.
@Quetzalcoatl_Feathered_Serpent2 жыл бұрын
Salton Sea Right? It went off again a couple days ago 10 months later. Its actually the volcanic area there that has mud volcanos that's acting up. Were likely fine hopefully.
@rutkowskitony4 жыл бұрын
Internet Service providers were never considered "common carriers." I worked as a senior staff member at the FCC and contributed to the Computer Inquiry Reports and Orders that defined the use of those terms. Whatever your view about the topic, the SDSC statement is not accurate.
@Morpho324 жыл бұрын
Very good video, thank you! However I replicated exactly the same example as him for the groupby using Numba and it's still much slower than Pandas groupby... I don't understand how he got it to quick for the njit version... My groupby took 3 seconds while njit takes 14 seconds... so much slower...
@Morpho324 жыл бұрын
OK I noticed I had done differently, I had created a DataFrame and not a Series. I am surprised by how much difference this makes! Basically if you create a DataFrame instead of Series, it makes it much slower. I would understand for the groupby of Pandas but I don't understand why this impacts the NJIT version !? Nowhere in the function we specify whether it is a DataFrame or a Series since we pass the numpy arrays to the function and not the Pandas objects... So how come Numba is much slower? How does it know ???
@Morpho324 жыл бұрын
OK... I reply to my own message... Numba will make the difference between whether it is DataFrame or Series because at some point we use np.zeros_like(m) ... Basically if we use DataFrame then it will create a DataFrame for the output (output in the function)... which slows the function a lot compared to when output is a Series. So if you have a DataFrame at the beginning, you can just replace m_numba = np.zeros_like(m) by m_numba =np.zeros(len(m)) and it will be fast.
@ilovechaos34 жыл бұрын
Very cool! Go SDSU and SDSC! Wave energy conversion is so important as a future energy source.