sqlryan.com valuation and analysis
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Meta Tags
| Title | SQL Ryan – Some SQL and some data |
| Description | SQL Ryan Some SQL and some data viz Menu About Ryan Twitter LinkedIn Converting two-column DataFrame to a dictionary in Python If you have a Pandas datafr |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 107.180.25.8 |
| Location | United States |
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sqlryan.com Valuation
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US$2,696,569
Last updated: 2023-05-10 09:58:03
sqlryan.com has Semrush global rank of 3,925,101. sqlryan.com has an estimated worth of US$ 2,696,569, based on its estimated Ads revenue. sqlryan.com receives approximately 311,143 unique visitors each day. Its web server is located in United States, with IP address 107.180.25.8. According to SiteAdvisor, sqlryan.com is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$2,696,569 |
| Daily Ads Revenue | US$2,490 |
| Monthly Ads Revenue | US$74,675 |
| Yearly Ads Revenue | US$896,091 |
| Daily Unique Visitors | 20,743 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| sqlryan.com. | A | 10799 | IP: 107.180.25.8 |
| sqlryan.com. | NS | 3600 | NS Record: ns63.domaincontrol.com. |
| sqlryan.com. | NS | 3600 | NS Record: ns64.domaincontrol.com. |
| sqlryan.com. | TXT | 3600 | TXT Record: google-site-verification=ybLtYQLy0WwxJ-n9l1YElS13yVDURzv0hgj7ZrQ-EBw |
HtmlToTextCheckTime:2023-05-10 09:58:03
| SQL Ryan Some SQL and some data viz Menu About Ryan Twitter LinkedIn Converting two-column DataFrame to a dictionary in Python If you have a Pandas dataframe like the following (if you already have a DataFrame based on a query result, you can use that): import pandas as pd data = [[’tom’, 10], [’nick’, 15], [’juli’, 14]] df = pd.DataFrame(data, columns = [’Name’, ’Age’]) Basic Pandas DataFrame I wanted a dictionary where I could provide the name (“tom”, “nick”, or “juli”) and receive their age as the result. To convert your DataFrame to a dictionary like this, you’d use the following command: my_dict = pd.Series(df.Age.values,index=df.Name).to_dict() print(my_dict) Python dict with three key:value pairs Now that you have a dictionary, you can do lookups or whatever else you want. Make sure you take note above that the first parameter uses “values” where the second one doesn’t. If you use values in the second parameter, or you just try to use the “.todict()” function on the DataFrame |
HTTP Headers
HTTP/1.1 301 Moved Permanently Date: Tue, 02 Nov 2021 14:22:34 GMT Server: Apache X-XSS-Protection: 1; mode=block Referrer-Policy: no-referrer-when-downgrade X-Content-Type-Options: nosniff Location: https://sqlryan.com/ Content-Type: text/html; charset=iso-8859-1 HTTP/2 200 x-xss-protection: 1; mode=block referrer-policy: no-referrer-when-downgrade x-content-type-options: nosniff vary: User-Agent,Accept-Encoding last-modified: Thu, 21 Oct 2021 20:40:47 GMT accept-ranges: bytes content-length: 120821 cache-control: max-age=0, no-cache, no-store, must-revalidate pragma: no-cache expires: Mon, 29 Oct 1923 20:30:00 GMT content-type: text/html; charset=UTF-8 date: Tue, 02 Nov 2021 14:22:34 GMT server: Apache |
sqlryan.com Whois Information
Domain Name: SQLRYAN.COM Registry Domain ID: 1710510622_DOMAIN_COM-VRSN Registrar WHOIS Server: whois.godaddy.com Registrar URL: http://www.godaddy.com Updated Date: 2020-04-02T14:10:27Z Creation Date: 2012-04-01T15:47:10Z Registry Expiry Date: 2022-04-01T15:47:10Z Registrar: GoDaddy.com, LLC Registrar IANA ID: 146 Registrar Abuse Contact Email: abuse@godaddy.com Registrar Abuse Contact Phone: 480-624-2505 Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited Domain Status: clientRenewProhibited https://icann.org/epp#clientRenewProhibited Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited Name Server: NS63.DOMAINCONTROL.COM Name Server: NS64.DOMAINCONTROL.COM DNSSEC: unsigned >>> Last update of whois database: 2021-09-20T21:43:43Z <<< |