Giter VIP home page Giter VIP logo

practical-data-science-with-python's Introduction

Practical-Data-Science-with-Python

This is the code repository for Practical Data Science with Python, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

About the Book

This is intended to be a book for beginners to intermediate learners who want to become data scientists or learn some of the basics of data science and machine learning.

Instructions and Navigation

The code from this book and repository is intended for Python 3.9. See chapter 2 for instructions on getting setup with Python.

All of the code is organized into folders. Each folder contains the code and data for that chapter.

Related Products

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

https://packt.link/free-ebook/9781801071970

practical-data-science-with-python's People

Contributors

nategeorge avatar packt-itservice avatar packtjaniceg avatar packtutkarshr avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

practical-data-science-with-python's Issues

Chapter 7 page 207 variable "datafile" declaration and calling

In chapter 7 on page 207 the variable are decleare as:

datafile = 'https://docs.misoenergy.org/marketreports/20210203_mom.xlsx' mom_data = urlopen(datafile_url).read() print(mom_data[:20])

In theory it should be:
datafile_url= 'https://docs.misoenergy.org/marketreports/20210203_mom.xlsx' mom_data = urlopen(datafile_url).read() print(mom_data[:20])

I have check the cooresponding ipynb file on github its correct there. The updates will help in correction for next version.

download

I cannot download the files hosted on this book

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.