Crypeli retweetledi
Crypeli
24 posts
ASICs are a hard-to-clutch fact that has a known but vaguely gauged impact on the ETH network. Despite, some fair guesses can be made to understand their impact. Also, what about if we model a 51% attack as a voting bribery problem?@OmniAnalytics
@theomniacs/asics-and-their-importance-to-the-ethereum-mining-discussion" target="_blank" rel="nofollow noopener">steemit.com/ethereum/@theo…
English
Ethereum's economic Breakpoint: an analysis. Let's keep an informed, unbiased and reasonably fact-based discussion, no matter your stance or interests.
@hudsonjameson @OmniAnalytics crypto.omnianalytics.io/2018/08/23/eth…
English
@hudsonjameson Hello! Please check your Twitter inbox. I've sent you something.
English
2/2 I have yet to see any solid evidence/data to support the negative effects of ASICs on the network (beyond speculation). At this point ASICs have been out for months. I'd love for someone to share data or an article that shows negative effects on the network.
English
1/ As I ask miners to voice their opinions on the Ethereum issuance reduction I am seeing a lot of commentary on still wanting to change the POW algo to block ASICs.
English
@OmniAnalytics I have this one: twitter.com/Crypeli1/statu…
Crypeli@Crypeli1
@OmniAnalytics And this is the Part Three of the challenge :-) : library(rvest) url <- "omnianalytics.io/challenges/web…" a <- read_html(url) sapply(html_attr(html_nodes(a, "body > img"), "src"), FUN = function(x, url) download.file(paste0(url, x), destfile = strsplit(x, "/")[[1]][2]), url = url)
English
Solution!!!
library(rvest)
base_url <- "omnianalytics.io/challenges/web…"
image_urls <- base_url %>%
read_html() %>%
html_nodes("body > img") %>%
html_attr("src")
full_urls <- paste0(base_url, image_urls)
download.file(full_urls, destfile = basename(full_urls))
English
Part Three of our #rstats #webscraping challenge! Scrape the URLs of the 5 fruit images from omnianalytics.io/challenges/web… . Using the URLs, write a loop to download the 5 images to your computer!
English
@OmniAnalytics And this is the Part Three of the challenge :-) :
library(rvest)
url <- "omnianalytics.io/challenges/web…"
a <- read_html(url)
sapply(html_attr(html_nodes(a, "body > img"), "src"), FUN = function(x, url) download.file(paste0(url, x), destfile = strsplit(x, "/")[[1]][2]), url = url)
English
Part Two of our #rstats #webscraping challenge! Can you scrape the unordered list of fruits from omnianalytics.io/challenges/web… into an #r vector? Hint: Use the #rvest package along with the Chrome extension SelectorGadget.
English
@OmniAnalytics library(rvest)
a <- read_html("omnianalytics.io/challenges/web…")
a <- gsub(pattern = " ", "", unlist(strsplit(html_text(html_node(a,"body > ul")), split = "\n")))
answer <- a[a != ""]
English
@OmniAnalytics Yes! I'm one of those. In fact, that's what I used on a previous MN analysis: twitter.com/Crypeli1/statu…
Crypeli@Crypeli1
@OmniAnalytics @BrianDColwell I was wondering how would it look like if we brought MN coin age (as per genesis block) and MN worth into the picture (literally... :-) ). As you can see: - The cheaper the MN, the lower trading volume it has; - The older the MN coin is, the lower ROI it yields
English
@OmniAnalytics library(rvest)
webPage <- read_html("omnianalytics.io/challenges/web…")
fruitTable <- html_table(html_node(webPage, xpath = "/html/body/table"))
English
An #rstats #webscraping challenge! Can you scrape the table of fruit characteristics from omnianalytics.io/challenges/web… into an #r data frame? Hint: We recommend the #rvest package!
English
@Crypeli1 @samin100 Hi Crypeli1,
We are always looking to improve the user experience. Please email us at contact@vectordash.com for more details on a possible partnership!
English
Really digging the new @vectordashGPU host dashboard!
✅ monetize your GPUs to train neural networks
✅ view your earnings in real time
✅ live status of all your hardware
✅ cash out to BTC, ETH, or LTC (we all cover network fees)
What else should we add?
English
@VectordashGPU @samin100 Thanks for your response! Looking forward to seeing you advance, guys.
Also, I am really interested in establishing mutually beneficial relationships between you and Colombia's Big Data/Machine Learning practitioners' Community. Are you willing to do so? Thx!
English
@OmniAnalytics @BrianDColwell These results are consistent with what's being discussed in these tweets: ROI performance tends to degrade over time (i.e. more and people trying to earn profits). What does not seem as obvious (although it sounds like it is) is that volume follows suit when MN worth decreases.
English
@OmniAnalytics @BrianDColwell I was wondering how would it look like if we brought MN coin age (as per genesis block) and MN worth into the picture (literally... :-) ). As you can see:
- The cheaper the MN, the lower trading volume it has;
- The older the MN coin is, the lower ROI it yields
English
This week’s #masternode analysis showcases the #MNO eco-system using a seven day rolling average of ROI and trade volume. #Masternodes with high ROI are appealing, but a sparse order book will make entering and exiting a position costly on both ends. #crypto #cryptocurrency #maps
English
#Shitcoin --> yes, or no?
5/4-5/20: + 161% gain
5/21/-5/26: - 20% loss
5/27-6/3: - 18% loss
6/4-6/10: - 24% loss
6/11-6/17: - 67% loss
#privacycoin #cryptocurrencies
English
Crypeli retweetledi
Call to action! If you like our analysis, find it useful, and would love to see more of it, help spread the word! 🗣️📢 Help us become influencers in this space by liking, retweeting, following and telling your followers to follow! 🌍
English
@TheCrypt0Mask @Panama_TJ @ZeusZissou I would add a ban by banks on crypto exchanges (e.g. Coinbase, Buda, Huobi), so that crypto-to-fiat conversion becomes sluggish.
English
@OmniAnalytics @BrianDColwell Great analysis. Is there a way I can contribute to this project by adding more analytics to it (maybe you have a git repo)? I am invested in crypto/masternodes, and I do freelance Data Science work; willing to both contribute and learn.
English
@samin100 @kamik92 @VectordashGPU Sharif: in case I have 2 GPUs (e.g. 2 1080's), are 2 separate 60 GB SSD's on the same computer proper for Vectordash's needs? (at a first glance, they could be, but maybe virtualization won't work on separate drives). Really looking forward to be a host with you guys!
English
@kamik92 @VectordashGPU The storage requirement is per GPU. So if you had 2 GPUs, we’d require at least 50GB x 2 = 100GB total!
Can’t use the GPU while it’s in use, however you CAN mine whichever crypto you like - our desktop client allows for auto-switching with any miner.
English