FOR PYTHON QUANTS

An exclusive bootcamp series brought to you by CQF Institute and The Python Quants

TicketsGet in Touch

LONDON MON 21. to THU 24. NOVEMBER 2016

The Bootcamp Series for those working in Finance and using Python.

UNIQUE COMBINATION

This bootcamp series is the only one in the world to focus exclusively on Python for Quantitative Finance. Do not miss it if you work in finance and use Python.

GAIN INSIGHTS

Keep up with the latest developments in Python for Finance, see the experts in action, meet people active in your field, experience practical case studies.

BUILD YOUR NETWORK

In addition to the main program, there is lots of room for networking, chatting, making connections and building your network in the industry.


Stay informed about the latest of Python for Quant Finance.

THE SERIES IN NUMBERS

Some numbers about the FOR PYTHON QUANTS series.

For those quants believing more in numbers than just words.

800+

NYC + LONDON

This London series is the sixth of its kind. During the last five more than 800 people attended the bootcamp and conference days.

4

LONDON

We bring you four intensive bootcamps days with experts in their field.

20+

TOPICS

Expect a fast-paced schedule during the bootcamp days with more than 20 topics of relevance covered. Master Python for.

2

STRONG PARTNERS

The CQF Institute is amongst the world's most renowned education bodies for Quantitative Finance. The Python Quants Group focuses on
Python for Quant Finance.

PYTHON BOOTCAMPS

Intensive Python bootcamps about Python for Finance for professionals and academics who want to make their next step in their career.

The introductory bootcamp introduces Python as a programming language and gets you up to speed with the most popular tools used in the Python ecosystem.

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.

The Python & Excel bootcamp shows you how to best combine Python with Excel — the tool used for so many purposes in the financial industry in general and in quant finance in particular. Learn how to replace and complement VBA by Python and how to bring your financial analytics with Excel to the next level.

Topics covered in the algorithmic trading bootcamp include advanced time series management, analysis and visualization, real-time data streaming, backtesting approaches and the implementation of automated trading strategies. This bootcamp applies the basic Python tools and libraries presented in the technical bootcamp to real-world quantitative finance examples.

The bootcamps take place at Fitch Learning The Corn Exchange, 55 Mark Lane (2nd floor), London, EC3R 7NE in London (see it on Google Maps).

Tickets to attend either in London or online will gain access to videos of your chosen event(s) on demand for up to 60 days.

INTRODUCTORY
BOOTCAMP

GBP 445/345
(live/online)
  • Mon, 21. November 2016,
  • one-day, intensive bootcamp,
  • covering introductory Python & tools,
  • with Dr. Yves J. Hilpisch.
  • Read the Outline.
This bootcamp covers basic Python programming with a focus on:
  • Introducing the Quant Platform (http://pqp.io)
  • Fundamentals of data types and structures in Python
  • Selected Python idioms and control structures for numerical algorithms
  • Fundamentals of NumPy arrays for numerical computations
  • Basic concepts and approaches with pandas and SciPy
  • Selected performance issues and approaches for financial analytics
  • Some basic visualization approaches


Close
BUY
TICKET

TECHNICAL
BOOTCAMP

GBP 445/345
(live/online)
  • Tue, 22. November 2016,
  • one-day, intensive bootcamp,
  • covering technical Python for Finance,
  • with Dr. Yves J. Hilpisch.
  • Read the Outline.
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:
  • Introducing the Quant Platform (http://pqp.io)
  • 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


Close
BUY
TICKET

PYTHON & EXCEL
BOOTCAMP

GBP 445/345
(live/online)
  • Wed, 23. November 2016,
  • one-day, intensive bootcamp,
  • covering Python & Excel integration
  • with Felix Zumstein.
  • Read the Outline.
This bootcamp covers Python's open source packages for Excel: while the main focus is on xlwings and how to create macros and user defined functions (UDFs) with Python instead of VBA, we will also have an in-depth session covering the read/write packages (xlrd, xlwt, xlsxwriter, openpyxl). The following is an outline of what you can expect:
  • read/write packages: xlrd, xlwt, xlsxwriter, openpyxl
  • xlwings vs. read/write packages
  • How to setup/configure Python and xlwings
  • Fundamentals: xlwings Workbook and Range objects
  • Working with lists, dictionaries, NumPy arrays and Pandas DataFrame objects
  • Converters/options
  • Matplotlib charts
  • How to use the command line client
  • Calling Python functions as macros from Excel
  • User Defined Functions (UDFs, Windows only)
  • Debugging
  • How to access the underlying libraries
  • Application development with xlwings


Close
BUY
TICKET

ALGO TRADING
BOOTCAMP

GBP 445/345
(live/online)
  • Thu, 24. November 2016,
  • one-day, intensive bootcamp,
  • covering applied Python for Finance,
  • with Dr. Yves J. Hilpisch.
  • Read the Outline.
This bootcamp covers some topics of importance for nearly every financial analytics and/or application project. The following is an outline of what you can expect:
  • Introducing the Quant Platform (http://pqp.io)
  • Fundamentals of pandas and plotly for financial analytics
  • Retrieving, processing and storing financial data
  • Implementing basic backtests for automated trading strategies
  • Optimizing trading strategies, doing in- vs out-of-sample testing
  • Capturing live financial data streams and plotting them in real-time
  • Implementing a simple Web app to visualize financial data (using Flask & plotly)
  • Implementing automated trading strategies with real-time data streaming and buy/sell orders


Close
BUY
TICKET

Academics & Students

Group Bookings

Package Bookings

A 30% discount applies to students and academics. To claim your discount, email us at events@cqfinstitute.org.

For group bookings, email us at events@cqfinstitute.org and receive a 15% discount when registering 3+ delegates.

Receive a 15% discount when booking at least two bootcamps. For package bookings, email us at events@cqfinstitute.org.

Book a Package

Academics & Students

A 30% discount applies to students and academics. To claim your discount, email us at events@cqfinstitute.org.

Group Bookings

For group bookings, email us at events@cqfinstitute.org and receive a 15% discount when registering 3+ delegates.

Package Bookings

Receive a 15% discount when booking at least two bootcamps.

Book a Package

IMPRESSIONS FROM PREVIOUS EVENTS

Get a feel for the energy and flow at the For Python Quants event series.





Venue

The bootcamps take place at Fitch Learning The Corn Exchange, 55 Mark Lane (2nd floor), London, EC3R 7NE in London.

Fitch Venue

The venue is in the
the financial heart of the Europe.

See it on Google Maps

MEET THE TEAM

Organizers

Your organizer team.

Randeep

Dr. Randeep Gug

Director of the CQF Institute

Randeep is academic director of the CQF program and director the CQF Institute. He is also co-head of professional qualifications at Fitch Learning.
Yves

Dr. Yves Hilpisch

Managing Partner of The Python Quants

Yves is managing partner of The Python Quants Group and is author of the books "Python for Finance" (O'Reilly) and "Derivatives Analytics with Python" (Wiley Finance).

DON'T MISS THIS UNIQUE OPPORTUNITY.

EXPECT 100%
PYTHON
& FINANCE

GET IN TOUCH TODAY!

SPONSORS

These are the sponsors.

Visit their Web sites for more information.

Fitch Fitch Learning is a global leader in financial education with over 25 years of experience in delivering specialized, technical training to the finance community.

Stay informed about the latest of Python for Quant Finance.

© The Python Quants GmbH 2014–2016 (Imprint)