For Python Quants Technical Bootcamp

CQF Institute and The Python Quants

For Python Quants Technical Bootcamp - 22nd November Fitch Learning, The Corn Exchange (2nd Floor), 55 Mark Lane, London, EC3R 7NE 
<P STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 1.6em; color: #000000; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px;">Dr. J. Yves Hilpisch, Managing Partner of The Python Quants The technical bootcamp shows you the basic and advanced approaches of typical Python paradigms and libraries, like IPython, NumPy or pandas. This bootcamp covers those basic libraries and tools that you need every day.
<P STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 1.6em; color: #000000; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px;">This bootcamp covers basic concepts, topics and idioms of importance for financial analytics and/or application development projects. The following is an outline of what you can expect:
<P STYLE="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 1.6em; color: #000000; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px;">• Introducing the Quant Platform (<A HREF="http://pqp.io" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">http://pqp.io</A>) • Advanced concepts and approaches with NumPy and pandas • Time series management with pandas and basic operations • Advanced operations on pandas DataFrame objects • Performant IO operations with Numpy and pandas • Selected performance issues and approaches for financial analytics • Static and interactive data visualization of numerical and time series data
 
Other events in this series:
For Python Quants – Introductory Bootcamp – 21st November For Python Quants - Python & Excel Bootcamp - 23rd November For Python Quants – Algorithmic Trading Bootcamp – 24th November For Python Quants Conference – 25th November
 
Package Bookings: Receive a 15% discount when booking at least two bootcamps or the conference and at least one bootcamp. For package bookings, emails us at <A HREF="mailto:events@cqfinstitute.org" TARGET="_blank" REL="nofollow noopener noreferrer">events@cqfinstitute.org</A>
  
 
Terms and Conditions This bootcamp is being organised by the CQF Institute (part of Fitch 7city Learning) and The Python Quants. While we will make every effort to deliver the bootcamp, we reserve the right to change or cancel the published event dates due to unforeseen circumstances. Receipt of the booking form constitutes formal agreement to attend and acceptance of the terms and conditions stated. The Python Quants are responsible for the bootcamp material. Fee includes attendance to the sessions. The registration fee does not include any travel costs or any costs of accommodation. If you are unable to attend no refund can be given but you may nominate a colleague to take your place. By registering for this event you agree to any photography and video that may take place. If you wish to opt out, please contact the CQF Institute at <A HREF="mailto:events@cqfinstitute.org" TARGET="_blank" REL="nofollow noopener noreferrer">events@cqfinstitute.org</A>
For full details of the terms and conditions, please visit <A HREF="http://www.cqfinstitute.org/content/website-terms-conditions-use-and-privacy-statement" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">http://www.cqfinstitute.org/content/website-terms-conditions-use-and-privacy-statement</A>

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For Python Quants Technical Bootcamp

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