Skip to main content

Setup

  • Chapter
  • First Online:
  • 5070 Accesses

Abstract

To run the code examples in this book, you will need Python 3.6 (or newer), Jupyter, and a bunch of libraries from the Python data stack.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    https://www.anaconda.com/

  2. 2.

    https://docs.anaconda.com/anaconda/install/

  3. 3.

    www.numpy.org/

  4. 4.

    https://www.crummy.com/software/BeautifulSoup/

  5. 5.

    https://jupyter.org/

  6. 6.

    https://nteract.io/

  7. 7.

    https://github.com/nteract/nteract/blob/master/USER_GUIDE.md

  8. 8.

    https://stackoverflow.com/questions/39438049/how-to-set-the-default-python-path-for-anaconda

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Max Humber

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Humber, M. (2018). Setup. In: Personal Finance with Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3802-8_1

Download citation

Publish with us

Policies and ethics