GithubHelp home page GithubHelp logo

apoorvanand / pythonfullthrottle Goto Github PK

View Code? Open in Web Editor NEW

This project forked from pdeitel/pythonfullthrottle

0.0 1.0 0.0 15.61 MB

Files for attendees of my PythonFullThrottle Safari Online Learning Live Training

HTML 93.18% Jupyter Notebook 5.83% Python 0.99%

pythonfullthrottle's Introduction

PythonFullThrottle

Source code and Jupyter Notebooks files for my "Python Full Throttle" live training course:

The links below will take you to the course page. If you registered/attended that session, that page is where you can access the archived video.

I'll keep this repository up-to-date with any changes I make for future presentations.

These files are for your personal use and may not be redistributed or reposted.

If you have any questions, open an issue in the Issues tab or email us: deitel at deitel dot com.

Copyright 2020 by Deitel & Associates, Inc. and Pearson Education, Inc. All Rights Reserved.

Setup for Executing the Examples

If you intend to execute code in parallel with me during the live training (which you don't need to do, but can), you'll want to do one of the following:

  1. Install the Anaconda Python Distribution for Python 3.7 at https://www.anaconda.com/distribution/#download-section
  2. If you prefer, you can use Docker:

docker run -p 8888:8888 -it --user root -v fullPathTo/PythonFullThrottle:/home/jovyan/work jupyter/scipy-notebook:latest start.sh jupyter lab

In #2, be sure to replace fullPathTo/PythonFullThrottle with the actual location where you download my code on your system.

Our Books on Which These Examples Are Based

The content of this course is based on our book Python for Programmers, which is a subset of our book Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud.

Cover image for Python for Programmers

The authors and publisher of this book have used their best efforts in preparing this book. These efforts include the development, research, and testing of the theories and programs to determine their effectiveness. The authors and publisher make no warranty of any kind, expressed or implied, with regard to these programs or to the documentation contained in this book. The authors and publisher shall not be liable in any event for incidental or consequential damages in connection with, or arising out of, the furnishing, performance, or use of these programs.

pythonfullthrottle's People

Contributors

pdeitel avatar

Watchers

James Cloos avatar

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.