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Articles related to "start"


Discovering New Data

  • Remember that before trying to get data to solve a problem you need to get the context of a business and the project.
  • Remember that getting new data has to be done in a systematic fashion, it’s not just getting data out of nowhere, we have to do it consistently, plan it, create a process to do it, and this depends in engineering, architect, DataOps and more things that I’ll be discussing in other articles.
  • At this point the system it’s not only bringing new data from external sources but also creating new features based on our existing columns.
  • Remember that we are interested in finding more information about the businesses, so I’ll pick some columns coming from the external datasets and add them to my original data.

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Colleges are reopening in fall, but many professors won’t be present

  • Most universities plan to bring students back to campus.
  • College students across the country have been warned that campus life will look drastically different in the fall, with temperature checks at academic buildings, masks in half-empty lecture halls and maybe no football games.
  • Thousands of instructors at American colleges and universities have told administrators in recent days that they are unwilling to resume in-person classes because of the pandemic.
  • More than three-quarters of colleges and universities have decided students can return to campus this fall.
  • A Cornell University survey of its faculty found that about one-third were “not interested in teaching classes in person,” one-third were “open to doing it if conditions were deemed to be safe,” and about one-third were “willing and anxious to teach in person,” said Michael Kotlikoff, Cornell’s provost.

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Discovering New Data

  • Remember that before trying to get data to solve a problem you need to get the context of a business and the project.
  • Remember that getting new data has to be done in a systematic fashion, it’s not just getting data out of nowhere, we have to do it consistently, plan it, create a process to do it, and this depends in engineering, architect, DataOps and more things that I’ll be discussing in other articles.
  • At this point the system it’s not only bringing new data from external sources but also creating new features based on our existing columns.
  • Remember that we are interested in finding more information about the businesses, so I’ll pick some columns coming from the external datasets and add them to my original data.

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The Millennium Falcon almost ended up looking like Space 1999's Eagle

  • The original Star Wars story went through a lot of changes as Lucas worked out its kinks, turning it from a hot mess into the story that became the final film (a process which continued throughout production, and arguably to this day), and those continuing changes makes it hard at times to know when what occurred.
  • What this piece of yellow paper tells us, is that the Rebel Blockade Runner and the Pirate Ship were concurrent, but that Lucas seemed in two minds regarding which one was supposed to have the "longish" design he had found.
  • The following sketches, most of them from The Ralph McQuarrie Archives (2007) — although the second one is from Making of Star Wars (2010) — were described by McQuarrie himself as being specifically of the Millennium Falcon, although for the sake of correct chronology, they are from the period when it was still referred to as the Pirate Ship.

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Discovering New Data

  • Remember that before trying to get data to solve a problem you need to get the context of a business and the project.
  • Remember that getting new data has to be done in a systematic fashion, it’s not just getting data out of nowhere, we have to do it consistently, plan it, create a process to do it, and this depends in engineering, architect, DataOps and more things that I’ll be discussing in other articles.
  • At this point the system it’s not only bringing new data from external sources but also creating new features based on our existing columns.
  • Remember that we are interested in finding more information about the businesses, so I’ll pick some columns coming from the external datasets and add them to my original data.

save | comments | report | share on


Dating app S'More adds blurred video calling and launches in LA

  • The pandemic hasn’t slowed down dating app S’More — at least according to CEO Adam Cohen-Aslatei, who said that the app’s daily active user count doubled in March and hasn’t gone down since.
  • The app (whose name is short for “something more”) launched last fall and has supposedly attracted nearly 50,000 users.
  • The goal is to move beyond the superficiality of most dating apps, where you first learn about another user and then unlock visual elements (like a profile photo) as you interact.
  • Cohen-Aslatei said the team has also spent more on marketing to attract a diverse audience, both in terms of racial diversity (something S’more reinforces by not allowing users to filter by race) and sexual orientation, with 15% of users identifying as LGBTQ.
  • And it recently started its a video series of its own on Instagram’s IGTV — the S’More Live Happy Hour, where celebrities offer dating advice.

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How to Collect Data from TikTok (Tutorial)

  • With this in mind, it is important to understand what TikTok shows to millions of eyeballs every day, and to do that, we will need some data.
  • A good place to start is collecting videos from a given user.
  • Say you wanted to create a large list of users from which you could collect videos they post and videos they like.
  • You could use the 50 most-followed TikTok accounts, but 50 may not generate a wide enough sample.
  • From what I observed, the getSuggestedUsersbyIDCrawler method starts to branch out and find smaller, more niche accounts, which have tens of thousands of followers rather than hundreds of thousands or millions.
  • If you want to collect a wide sample of data from TikTok, I advise starting with the suggested users crawler.

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How to Collect Data from TikTok (Tutorial)

  • With this in mind, it is important to understand what TikTok shows to millions of eyeballs every day, and to do that, we will need some data.
  • A good place to start is collecting videos from a given user.
  • Say you wanted to create a large list of users from which you could collect videos they post and videos they like.
  • You could use the 50 most-followed TikTok accounts, but 50 may not generate a wide enough sample.
  • From what I observed, the getSuggestedUsersbyIDCrawler method starts to branch out and find smaller, more niche accounts, which have tens of thousands of followers rather than hundreds of thousands or millions.
  • If you want to collect a wide sample of data from TikTok, I advise starting with the suggested users crawler.

save | comments | report | share on


How to Collect Data from TikTok (Tutorial)

  • With this in mind, it is important to understand what TikTok shows to millions of eyeballs every day, and to do that, we will need some data.
  • A good place to start is collecting videos from a given user.
  • Say you wanted to create a large list of users from which you could collect videos they post and videos they like.
  • You could use the 50 most-followed TikTok accounts, but 50 may not generate a wide enough sample.
  • From what I observed, the getSuggestedUsersbyIDCrawler method starts to branch out and find smaller, more niche accounts, which have tens of thousands of followers rather than hundreds of thousands or millions.
  • If you want to collect a wide sample of data from TikTok, I advise starting with the suggested users crawler.

save | comments | report | share on


How to Collect Data from TikTok (Tutorial)

  • With this in mind, it is important to understand what TikTok shows to millions of eyeballs every day, and to do that, we will need some data.
  • A good place to start is collecting videos from a given user.
  • Say you wanted to create a large list of users from which you could collect videos they post and videos they like.
  • You could use the 50 most-followed TikTok accounts, but 50 may not generate a wide enough sample.
  • From what I observed, the getSuggestedUsersbyIDCrawler method starts to branch out and find smaller, more niche accounts, which have tens of thousands of followers rather than hundreds of thousands or millions.
  • If you want to collect a wide sample of data from TikTok, I advise starting with the suggested users crawler.

save | comments | report | share on