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python-for-finance.com

Python for Finance – Analyze Big Financial Data (O'Reilly)

The Python Quants, Quant Platform, Python, Quantitative Finance, Big Data, Oreilly, Yves Hilpisch, Python for Finance, Python Training, Finance Training, Derivatives Training

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Python for Finance – Analyze Big Financial Data (O'Reilly) | python-for-finance.com Reviews
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The Python Quants, Quant Platform, Python, Quantitative Finance, Big Data, Oreilly, Yves Hilpisch, Python for Finance, Python Training, Finance Training, Derivatives Training
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Python for Finance – Analyze Big Financial Data (O'Reilly) | python-for-finance.com Reviews

https://python-for-finance.com

The Python Quants, Quant Platform, Python, Quantitative Finance, Big Data, Oreilly, Yves Hilpisch, Python for Finance, Python Training, Finance Training, Derivatives Training

LINKS TO THIS WEBSITE

python-quants.com python-quants.com

The Python Quants Group

http://www.python-quants.com/index.html

The PYTHON QUANTS GROUP. Making the Best of Open Source. Your Partner for Python in Quant finance. On delivering Python- and Open Source-based financial analytics solutions. SIGN UP FOR OUR FREE PYTHON FOR FINANCE EMAIL COURSE. FOR PYTHON QUANTS CONFERENCE NYC—MAY 2016. ONLINE TRAININGS IN DATA SCIENCE, ALGO TRADING and QUANT FINANCE. PYTHON PODCAST WITH YVES HILPISCH ON QUANT FINANCE. WEBINAR ON AUTOMATED TRADING WITH PYTHON. Presentations and other resources by Yves Hilpisch. Python, R, Julia. Experien...

risk-software.net risk-software.net

The Python Quants

http://www.risk-software.net/imprint.html

The Python Quants GmbH is an independent, privately owned analytics software provider. The Python Quants core competencies are derivatives analytics, related numerical methods and Python programming. The Python Quants GmbH. T 49 6898 932 350. F 49 6898 932 352. Http:/ www.python-for-finance.com. Http:/ www.dexision.com. Http:/ www.hilpisch.com. Http:/ www.derivatives-analytics.com. Http:/ www.derivatives-analytics-with-python.com. Dr Yves J. Hilpisch. NO 455 55 20. BLZ 590 700 70. Alle mit Warenzeichen, ...

dx-analytics.com dx-analytics.com

Mean-Variance Portfolio Class — DX Analytics (Derivatives Analytics with Python)

http://dx-analytics.com/11_dx_mean_variance_portfolio.html

Without doubt, the Markowitz (1952) mean-variance portfolio theory. Is a cornerstone of modern financial theory. This section illustrates the use of the. Class to implement this approach. Market Environment and Portfolio Object. We start by instantiating a. Object which in particular contains a list of ticker symbols. In which we are interested in. Using pandas under the hood, the class retrieves historial stock price data. CPU times: user 236 ms, sys: 3 ms, total: 239 ms Wall time: 1.2 s. Portfolio am t...

dx-analytics.com dx-analytics.com

Framework Classes and Functions — DX Analytics (Derivatives Analytics with Python)

http://dx-analytics.com/01_dx_frame.html

Framework Classes and Functions. This section explains the usage of some basic framework classes and functions of DX Analytics. Mainly some helper functions, the discounting classes and the market environment class used to store market data and other parameters/data needed to model, value and risk manage derivative instruments. There are two helper functions used regulary:. Get year deltas: get a list of year deltas (decimal fractions) relative to first value in time list. Suppose we have a. Class repres...

dx-analytics.com dx-analytics.com

Multi-Risk Derivatives Portfolios — DX Analytics (Derivatives Analytics with Python)

http://dx-analytics.com/05_dx_portfolio_multi_risk.html

The step from multi-risk derivatives instruments to multi-risk derivatives instrument portfolios is not a too large one. This part of the tutorial shows how to model an economy with three risk factors. This sub-section models the single risk factors. We start with definition of the risk-neutral discounting object. Probability for jump p.a. Expected jump size [%]. Finally, the unifying valuation assumption for the valuation environment. These are added to the single. Objects of the risk factors. Time stat...

datapark.io datapark.io

Data Science Know-how From The Experts (datapark.io)

http://www.datapark.io/datascience.html

On this page you find data science know-how in the form of talks and presentations, event announcements and reports, articles, language and library features, and more. In general, the know-how illustrated in the single pieces can be readily tested and applied on datapark.io. You can register for free under datapark.io. Python for Finance Certification. 4-day intensive training in New York. For further details and for registration. Quant Conference in London on 30. October 2015. For Python Quants in London.

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Python for Finance – Analyze Big Financial Data (O'Reilly)

Analyze Big Financial Data. An excellent summary of the state-of-the art of Python for Finance.". Very useful and to the point.". This is an excellent book that works both as teaching medium as well as a reference.". And useful for a quant who wants to start to use Python in his job.". I would definitely recommend it if you want to use Python for finance.". Yves Hilpisch is founder and managing partner of The Python Quants Group (cf. http:/ tpq.io. London (cf. Python for Quant Finance. Below you find a b...

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