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Versioning, Unit Testing and Deployment Automation
#Financial modelling in python download how to
Discuss options for improving performance of time critical portions of code by utilizing C++ binding options including Numba, CFFI, and Boost.Use Python’s Natural Language Processing Toolkit package to develop basic sentiment analysis tools for the text related to news articles.Discuss how to stem, remove stop works, and develop bag of words and n-gram representations of text.Review the Natural Language Processing Toolkit (NLTK) package in Python.Download, parse, and process text data associated with news articles.Go through an example of scraping stock price and fundamental information from yahoo finance.Review fundamentals of the urllib2 and Beautiful Soup Python packages and their application to web scraping.Describe how to host, add an authentication layer, and manage a dash dashboard application.Extend the previous example to an interactive visualization that includes dropdowns to select different time series, text input to accept window sizes lengths, etc.
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This course offers a continuation of the intermediate course in Python by providing a more in-depth examination of secondary Python packages that contain useful tools for a quantitative analyst’s daily workflow. Building on this extensive experience, we are now able to offer a range of public courses in a live online environment, whilst ensuring you will get the same value as you would in our classroom courses. Since 2003, Fitch Learning has been delivering virtual learning programs to clients and learners. * With many businesses now working from home, we have introduced virtual learning so we can continue to deliver high quality training to the financial community as we accommodate this new way of working.
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The Certified Professional in Training Management Program.