The only way to change the rules set out in the code is through a democratic vote where the network has to agree to chan

Author : lsibetrole
Publish Date : 2021-01-07 03:19:35


The only way to change the rules set out in the code is through a democratic vote where the network has to agree to chan

(Editor’s note: Dodger Insider will compile top 10 lists throughout the offseason, reflecting on the 2020 season. This edition is the top Dodger defensive plays of the year.)

To do this, we need to use v2 of the Twitter API — which is slightly different — but practically the same in functionality as v1. The full code, including API setup, is included below.

Credit Max Muncy with the assist. The Dodger first baseman yelled for Kershaw to step off as Manuel Margot took off for home. Kershaw successfully fired home just in time to prevent the Rays from tying the game in a 4–2 win.

The premise was simple: an internet currency, with no founder, that was fully transparent, that was publicly verifiable, with no banks in the middle to create trust, that was secured by cryptography.

TSLA stock prices Monday-Friday. The sentiment (originally scored from -1 to 1 has been multiplied to accentuate ve or -ve sentiment, and centered on the average stock price value for the week.

We initialize a Ticker object for TSLA, then use the history method to extract stock data between the min and max dates contained in our tweets data, with an interval of sixty minutes.

First, we need more data. Twitter offers the past seven days of data on their free API tier, so we will go back in 60-minute windows and extract ~100 tweets from within each of these windows.

Apple has a golden opportunity to dramatically increase the Mac’s market share over the next few years. Arguably, it would be a betrayal of Steve Jobs if it failed to take that opportunity.

API v2 allows us to include a specific language in our search query, so when adding (lang:en) to query we filter out anything that isn’t en (English) — leaving us with ~12K tweets.

http://news24.gruposio.es/ydd/videos-hv71-v-leksands-v-sw-sw-1ihh-9.php

http://live07.colomboserboli.com/tie/videos-lettonia-v-italia-v-it-it-1kjo2-15.php

http://news24.gruposio.es/ydd/Video-Brynas-IF-Linkoping-HC-v-en-gb-1inu-.php

http://main.dentisalut.com/hxd/video-HV71-Leksands-IF-v-en-gb-cgz30122020-.php

http://live07.colomboserboli.com/tie/videos-lettonia-v-italia-v-it-it-1imh2-4.php

https://assifonte.org/media/hvc/Video-centrum-tigers-oslo-v-kongsberg-miners-v-no-no-1lex-26.php

http://news24.gruposio.es/ydd/video-Brynas-IF-Linkoping-HC-v-en-gb-1gfb-29.php

http://go.acaps.cat/npt/video-skelleftea-v-vaxjo-lakers-v-sw-sw-1njd-4.php

http://live-stream.munich.es/exd/video-brynas-v-linkoping-v-sw-sw-1tgb-27.php

http://live-stream.munich.es/exd/v-ideos-brynas-v-linkoping-v-sw-sw-1psn-2.php

http://news24.gruposio.es/ydd/v-ideos-Brynas-IF-Linkoping-HC-v-en-gb-1pqn-14.php

http://live07.colomboserboli.com/tie/video-lettonia-v-italia-v-it-it-1ogg2-22.php

http://go.acaps.cat/npt/v-ideos-skelleftea-v-vaxjo-lakers-v-sw-sw-1sod-19.php

http://live07.colomboserboli.com/tie/Video-Latvia-Italy-v-en-gb-1mli-.php

http://go.acaps.cat/npt/video-Skelleftea-AIK-Vaxjo-Lakers-HC-v-en-gb-1dmh-.php

http://live-stream.munich.es/exd/videos-orebro-HK-Malmo-Redhawks-v-en-gb-1lqq-.php

https://assifonte.org/media/hvc/v-ideos-fenerbahce-v-kk-crvena-zvezda-v-tr-tr-1sfh-25.php

https://assifonte.org/media/hvc/v-ideos-fenerbahce-v-kk-crvena-zvezda-v-tr-tr-1dic-2.php

http://live07.colomboserboli.com/tie/Video-Latvia-Italy-v-en-gb-1psv-2.php

http://live-stream.munich.es/exd/Video-orebro-HK-Malmo-Redhawks-v-en-gb-1gug-4.php

probably already knew these things. What you might not know is that you can also force keyword arguments. The details are described in PEP 3202, but it comes down to using an asterisk before the arguments you want to force as keyword arguments. Or, before everything, forcing all arguments to be keyword arguments:

With word embeddings, it is improbable that our model would recognize ‘*not’ as matching the word ‘not’. Our character-level model doesn’t trip up and accurately classifies the tweet as negative.

It’s clear that the Twitter sentiment and stock price are correlated during this week. Of course, a larger timespan would provide greater confidence — but this provides us with an initial positive outcome to investigate further.

A quick look at the head of our dataframe shows some pretty impressive results. The second tweet is assigned a positive sentiment, but with a low level of confidence (0.51) — as a human, I’m also not sure whether this is a positive or negative tweet either.

We are all guilty of being a little selfish once in a while. After all, English philosopher Thomas Hobbes argued that self-interest is the most fundamental human motivation.

It’s clear that the Twitter sentiment and stock price are correlated during this week. Of course, a larger timespan would provide greater confidence — but this provides us with an initial positive outcome to investigate further.



Category : general

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