Invalid quantity. Please enter a quantity of 1 or more.
The quantity you chose exceeds the quantity available.
Please enter your name.
Please enter an email address.
Please enter a valid email address.
Please enter your message or comments.
Please enter the code as shown on the image.
Please select the date you would like to attend.
Please enter an email address.
Please enter a valid email address in the To: field.
Please enter a subject for your message.
Please enter a message.
You can only send this invitations to 10 email addresses at a time.
$$$$ is not a properly formatted colour. Please use the format #RRGGBB for all colours.
Please limit your message to $$$$ characters. There are currently ££££.
$$$$ is not a valid email address.
Please enter a promotional code.
N/A
Sold Out
Unavailable
Please enter a password with at least 8 characters.
You have exceeded the time limit and your reservation has been released.
The purpose of this time limit is to ensure that registration is available to as many people as possible. We apologise for the inconvenience.
This option is not available anymore. Please choose a different option.
Please read and accept the waiver.
All fields marked with * are required.
Please double check your email address. The email address format does not appear valid.
Please double-check your email address. Your emails do not match.
$$$$ requires a number between ££££ and §§§§
US Zipcodes need to be 5 digits.
Post code may contain no more than 9 letter or number characters.
Please double check your website URL.
All fields marked with * are required.
Your card expiration date is in the past.
Your card CSC needs to be 4 digits.
Please confirm your order: $$$$ You have selected to Pay by Cheque.
Click OK to confirm your order.
Please confirm your order: $$$$ You have selected to Pay at the Door.
Click OK to confirm your order.
Please confirm your order: $$$$ You have selected to Pay upon Receiving an Invoice.
Click OK to confirm your order.
Your card CSC needs to be 3 digits.
Sofort is only available in Germany and Austria.
Boleto Bancario is only available in Brazil.
PagoFacil is only available in Argentina.
Rapipago is only available in Argentina.
Please enter a valid IBAN number.
You need to accept to charge your bank account.
Your billing zip code needs to be 5 digits.
Please double check your CEP info. The CEP format should be something like 12345-678.
Please double check your tax identifier.
There was a problem saving your address.
There was a problem saving your card info.
There was a problem saving your personal information.
Please select the date you would like to attend.
McAfee Secure sites help keep you safe from identity theft, card fraud, spyware, spam, viruses and online scams.
Copying Prohibited by Law - McAfee Secure is a Trademark of McAfee, Inc.
Unknown card type.
No card number provided.
card number is in invalid format.
Wrong card type or card number is invalid.
card number has an inappropriate number of digits.
Please enter numbers here.
Please enter an integer value.
Numbers must be less or equal to $$$$
All the required fields have not been filled out. Click OK to proceed without all the required information, or click Cancel to finish entering the missing data.
Job titles must be less than 50 characters.
Please enter a donation amount.
Please select an attendee for donation.
There is currently an issue with card submission on Safari with iOS7. Please try again with a different browser or device.
Sorry, invalid event registration form.
Sorry, invalid event or database error.
Sorry, quantity must be a positive integer.
Sorry, you did not select a valid ticket.
Sorry, invalid event organiser email address.
Your order was cancelled.
Thank You. Your order has been successfully completed. Your name and email address have been added to the list of event attendees.
Sorry, that option is sold out.
Sorry, that option is no longer available.
Sorry, you entered an invalid quantity. Please enter a quantity of 1 or more next to the type or types of tickets you would like to purchase.
Sorry, you did not select any tickets to purchase. Please enter a quantity of 1 or more next to the type or types of tickets you would like to purchase.
Sorry, there are no tickets left for this event.
The tickets, ticket quantity or date and time you've requested are no longer available, due to previous sales. Please choose a different date, time or number of tickets and place your order again.
Sorry, one or more of the tickets you requested are no longer available for purchase.
Sorry, you need to select the date you want to attend.
Sorry, the promotional code you entered is not valid yet.
Sorry, the promotional code you entered has expired.
Sorry, the promotional code you entered is not valid.
Your session has expired. Try ordering again.
Sorry, your requested ticket quantity exceeds the number provided by your promotional code.
Python for Financial Data Science Bootcamp - 9th May Fitch Learning, 55 Broad Street, New York, 10004 The Python for Financial Data Science bootcamp day introduces the most important Python packages for Data Science, like NumPy, pandas or matplotlib.
This bootcamp day covers basic concepts, topics and idioms of importance for financial analytics and/or application development projects:
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
Bootcamp teacher -Dr. J. Yves Hilpisch, Managing Partner of The Python Quants
Tickets to attend either in New York or online will gain access to videos of your chosen event(s) on demand for up to 30 days.
Other events in this series:
Introduction to Finance with Python – 8th May Python for Algorithmic Trading Bootcamp (I)– 10th May Python for Algorithmic Trading Bootcamp (II) – 11th May
Package Bookings: Receive a15% discount when booking at least two bootcamps. For package bookings, emails us at events@cqfinstitute.org
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 events@cqfinstitute.org
Loading your connections...
Share Python for Financial Data Science Bootcamp
Share Tweet