Giter Site home page Giter Site logo

teachingdata / basic-python Goto Github PK

View Code? Open in Web Editor NEW
1.0 2.0 5.0 704 KB

Lesson dealing directly with the Python Language (split into the lesson modules)

License: MIT License

Python 42.04% Jupyter Notebook 57.43% Prolog 0.15% kvlang 0.39%
workbook python analytics backend

basic-python's Introduction

Example Solutions for Workbook

  • Example Answers for problems proposed by The Python Workbook by B. Stephenson (Springer, 2014)
    • These were used in teaching a Python course
    • Not every example was used (as noted or just skipped)
  • There are also self made examples which are indicted in each specific program.

Note on Examples

This is also used with Junior & Senior level (undergrad) Data analytic courses. The idea is that the students already have a general understanding of programming (with Java & C++) but have not encountered data analytic applications of programming.

There was also an expectation of full completion of at least calculus & statistics with some students having completed linear algebra and discrete math courses. So the math concepts only received a cursory review, with the course focused on application.

Due to this, the class moved very quickly through the first chapters in the workbook and found the solutions that were provided were too elementary. They also required a small update in a few places (yeah! type hints) - as is to be expected after 10+ years.

Modules

  • Module 1: Basic input and output using the console and standard control structures
  • Module 2: More detailed look at control and data structures with introduction to loops
  • Module 3: File input and output with a Bag of Words project
  • Module 4: Single program at the moment which shows a basic graph (will expand with a game example soon)
  • Module 5: Using parallel operations (threading)
  • Network Operations: Provides examples of Networking tools (sockets with requests and a little automation)
  • Review 1: Classes with type hinting and basic review of math

License

The content of any data used within projects themselves is licensed under the Creative Commons Attribution 4.0 International license while the source code of any script or program is licensed under the MIT license.

All code was authored and written by Professor Greenwell (self) based on problems proposed in workbook or his own lessons.

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.