PyData Madrid 2016

NumFOCUS/PyData

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<H2 STYLE="text-align: center;"><SPAN STYLE="font-size: xx-large; color: #eb8f40;">PyData Madrid 2016</SPAN></H2>
<H3 STYLE="text-align: center;"><SPAN STYLE="color: #000000;"><SPAN STYLE="font-size: medium;"> <SPAN STYLE="font-size: large;">Workshops: </SPAN></SPAN><SPAN STYLE="font-size: large;">8 April </SPAN></SPAN> </H3>
<H3 STYLE="text-align: center;"><SPAN STYLE="font-size: large; color: #000000;">BBVA Innovation Center: Saint Bárbara Square, 2</SPAN></H3>
<H3 STYLE="text-align: center;"><SPAN STYLE="font-size: large;"><SPAN STYLE="color: #666666;">Conference Main Sessions: </SPAN><SPAN STYLE="color: #666666;">9 - 10 April </SPAN></SPAN></H3>
<H3 STYLE="text-align: center;"><SPAN STYLE="font-size: large;"><SPAN STYLE="color: #666666;">  </SPAN><SPAN STYLE="color: #666666;">Campus Madrid: Moreno Nieto Street, 2</SPAN></SPAN></H3>
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<P STYLE="text-align: left;">PyData brings together both users and developers of data analysis tools to share ideas and learn from each other. The PyData community will gather in Madrid to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization.</P>
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<H2 STYLE="text-align: left;"><SPAN STYLE="font-size: small;">Ticket Pricing:</SPAN></H2>
<SPAN STYLE="font-size: 1.5em;"><SPAN STYLE="font-size: small;">*<SPAN STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 20.8px;">Please Note: If you wish to attend both workshops on Fri. (8 April) and the main sessions on Sat. and Sun. (9-10 April) you need to purchase both a workshop ticket and an Individual, Student, or Corporate ticket.</SPAN>   </SPAN></SPAN></DIV>
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<LI><SPAN STYLE="font-size: small;"><SPAN STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 20.8px;">Workshop (8 April):</SPAN> <SPAN STYLE="font-family: arial, sans, sans-serif; text-align: right;" DATA-SHEETS-VALUE="[null,3,null,50071.270000000004]" DATA-SHEETS-FORMULA="=sum(R[-16]C[0]:R[-1]C[0])">€80.00</SPAN></SPAN></LI>
<LI><SPAN STYLE="font-size: small;"><SPAN STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 20.8px;">Individual (9-10 April):</SPAN> <SPAN STYLE="font-family: arial, sans, sans-serif; text-align: right;">€150.00</SPAN></SPAN></LI>
<LI><SPAN STYLE="font-size: small;"><SPAN STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 20.8px;">Student (9-10 April):</SPAN> <SPAN STYLE="font-family: arial, sans, sans-serif; text-align: right;">€80.00</SPAN></SPAN></LI>
<LI><SPAN STYLE="font-size: small;"><SPAN STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 20.8px;">Corporate (9-10 April):</SPAN> <SPAN STYLE="font-family: arial, sans, sans-serif; text-align: right;">€250.00</SPAN> </SPAN><SPAN STYLE="font-size: medium;"> </SPAN><SPAN STYLE="font-size: medium;">                          </SPAN></LI>
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<H2><BR></H2>
<H2 STYLE="text-align: center;"><SPAN STYLE="font-size: x-large; color: #489bb6;"><SPAN STYLE="color: #000000;"><SPAN STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 1.6em;">To see the type of topics presented at previous PyData events, please look at our past conference sites at </SPAN><A STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 1.6em;" HREF="http://www.pydata.org" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">pydata.org</A><SPAN STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 1.6em;"> or check out the videos on </SPAN><A STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 1.6em;" TITLE="PyData TV" HREF="https://www.youtube.com/user/PyDataTV" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://www.youtube.com/user/PyDataTV</A><SPAN STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 1.6em;">. </SPAN></SPAN></SPAN></H2>
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<H3 STYLE="text-align: center;"><SPAN STYLE="font-size: medium;"><SPAN STYLE="font-size: large;"> </SPAN></SPAN></H3>
<P STYLE="text-align: center;">For comprehensive information about PyData Madrid 2016, <BR>please visit the conference website:</P>
<H3 STYLE="text-align: center;"> </H3>
<H3 STYLE="text-align: center;"><SPAN STYLE="font-size: x-large;"><A TITLE="PyData Madrid 2016" HREF="http://pydata.org/madrid2016/" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">http://pydata.org/madrid2016/</A></SPAN></H3>
<H3 STYLE="text-align: center;"><SPAN STYLE="font-size: x-large;"><BR><SPAN STYLE="font-size: large;"><SPAN STYLE="color: #eb8f40;">Interested in Sponsoring?</SPAN> Contact us at: <A TITLE="admin@pydata.org" HREF="mailto:admin@pydata.org" REL="nofollow noopener noreferrer">admin@pydata.org</A></SPAN></SPAN></H3>
<P> </P>
<HR>
<P><BR></P>
<H2 STYLE="text-align: center;"><SPAN STYLE="font-size: x-large;"><SPAN STYLE="color: #575757;">PyData is organized by:</SPAN>  <A TITLE="NumFOCUS" HREF="http://www.numfocus.org/" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">NumFOCUS</A></SPAN></H2>
<P STYLE="text-align: center;"><SPAN STYLE="font-size: large;"><A TITLE="NumFOCUS on Twitter" HREF="http://www.twitter.com/NumFOCUS" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Follow @NumFOCUS</A>   <A STYLE="font-family: helvetica; font-size: small; line-height: 36px;" TITLE="NumFOCUS on Twitter" HREF="http://www.twitter.com/NumFOCUS" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer"><IMG TITLE="NumFOCUS on Twitter" ALT="NumFOCUS on Twitter" SRC="https://cdn.evbuc.com/eventlogos/38043444/twitterlogoblue.png" WIDTH="50"></IMG></A></SPAN></P>
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<P><STRONG> </STRONG></P>
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<P><SPAN STYLE="font-size: large;"><STRONG>FAQs</STRONG></SPAN></P>
<P><STRONG>Do I need to bring my laptop?</STRONG></P>
<P>Yes, we recommend all attendees bring a laptop to the event. </P>
<P><STRONG>Are there ID requirements or an age limit to enter the event?</STRONG></P>
<P>While an ID is not required, we ask that you have one available in case there are any questions about your registration. Attendees under age 14 must be accompanied by an adult.</P>
<P><STRONG>Is my registration/ticket transferrable?</STRONG></P>
<P>Yes, registrations are transferable. To transfer your ticket, please email <A HREF="mailto:admin@pydata.org" REL="nofollow noopener noreferrer">admin@pydata.org</A> with the name and contact information of the original ticket-holder and the person to whom the ticket will be transferred. No transfers will be accepted after March 29, 2016.</P>
<P><STRONG>What is the refund policy?</STRONG></P>
<P>Full refunds are available when cancellation is made prior to 7 days before the start of the event. Within 7 days of the start of the event, cancellations will be refunded at 50%. No refunds will be available for any cancellations made on or after the start date of the event.</P>
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<P><STRONG>How can I contact the organizer with questions?</STRONG></P>
<P>You can reach us by email: <A STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 20.8px;" HREF="mailto:admin@pydata.org" REL="nofollow noopener noreferrer">admin@pydata.org</A> or by phone: +1 512-222-5449</P>
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Campus Madrid

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