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| Sort and filter data | |
| https://support.office.com/en-us/article/Sort-and-filter-data-ffb9fcb0-b9cb-48bf-a15c-8bec9fd3a472?ui=en-US&rs=en-US&ad=US | |
| VLOOKUP: When and how to use it | |
| https://support.office.com/en-us/article/VLOOKUP-When-and-how-to-use-it-9a86157a-5542-4148-a536-724823014785?ui=en-US&rs=en-US&ad=US | |
| Use conditional formatting | |
| https://support.office.com/en-us/article/Use-conditional-formatting-03ab07da-1564-4913-b69f-2b1a370c8910?ui=en-US&rs=en-US&ad=US | |
| Take conditional formatting to the next level |
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| real advantage comes from unique data | |
| observations: | |
| teams that start with a simple model but augment beyond inituial scope tend to perform best | |
| secondary sources have proven invaluable in deriving insights E.g. Recorded future, entity tagging over time, delta analysis | |
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| git clone https://github.com/ZerBea/hcxtools | |
| sudo apt install libpcap-dev libssl-dev libcurl4-openssl-dev | |
| make | |
| make install | |
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| Higher leverage activities instead of focusing on grunt work | |
| best minds in the world to focus on the issue (IP development) access to top 3-5 winning solutions | |
| Go on to hire them or continue on in consulting engagement | |
| Branding, recruiting | |
| leverage distribution | |
| XGBoost library - part of 50% of winning solutions | |
| Leaderboard forces question, why are these submissions above me better? | |
| Anyone can sign up - no corrolation with winners and domain export knowledge (shared passion is for data) | |
| Deep learning extended beyond computer vision problem |
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| -- Characterize offending processes for targeting will KILL (pid) | |
| Declare @T Table (SPID INT, | |
| Status VARCHAR(1000) NULL, | |
| Login SYSNAME NULL, | |
| HostName SYSNAME NULL, | |
| BlkBy SYSNAME NULL, | |
| DBName SYSNAME NULL, | |
| Command VARCHAR(1000) NULL, | |
| CPUTime INT NULL, | |
| DiskIO INT NULL, |
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| /*============================================================================== | |
| Question 1: full transaction data for suppliers from Madison | |
| and consumers from Stevens point and transaction value > 10 | |
| ==============================================================================*/ | |
| SELECT s.Name "Supplier Name" -- list full transaction data |
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| import os | |
| import sys | |
| from slackclient import SlackClient | |
| def send_message_to_channel(message='hello, I did not override the message',channel='#systems'): | |
| slack_token = "xoxp-12345" | |
| sc = SlackClient(slack_token) | |
| sc.api_call( | |
| "chat.postMessage", |
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| import os | |
| import sys | |
| from twilio.rest import Client | |
| def send_sms(to_number='19005551212',message='the job is done'): | |
| account_sid = "abc123" | |
| auth_token = "12345" | |
| client = Client(account_sid, auth_token) | |
| message = client.api.account.messages.create(to=to_number,from_="+19005551212",body=message) |
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| USE [DS715-Rick-Lentz] | |
| --1 Product categories and number of products in each category? | |
| SELECT Product_Category AS 'PROD CATEGORIES', | |
| COUNT(Prod_ID) AS 'NUM PROD IN CATEGORY' | |
| FROM Tb_Product | |
| GROUP BY (Product_Category) | |
| --2 Cities having at least 5 different consumers? | |
| SELECT City | |
| FROM Tb_Consumer GROUP BY City |