Foundamentals and Practice of Software Engineering with Python

• If you have concerns about the course, please email to me or open the github issue. I value all suggestions.

  • Email: cmh@seu.edu.cn.

Goal

This course is intended to train students majored in thermal energy engineering in good software practices and tools for producing code and documentation.

After successfully completing the program, the participants will be able to:

• writing clean, testable, high quality code in Python
• a useful set of algorithmic and problem reduction techniques
• computational tools to model and understand data
• debug programs using a standardized approach
• write unit tests
• use version control

Required Materials and Textbooks

• A laptop computer will be needed in the classroom.

• John V. Guttag. Introduction to Computation and Programming Using Python. Revised and expanded edition. MIT Press. 2013.08.

  • https://mitpress.mit.edu/index.php?q=books/introduction-computation-and-programming-using-python-0

  • 梁杰译. 编程导论. 人民邮电出版社(第1版) . 2015.03

• Python 3 documentation. https://docs.python.org/3/

• Michael J . Mora. Fundamentals of Engineering Thermodynamics(7th Edition). John Wiley & Sons, Inc. 2011

Contents

• Lectures in Jupyter notebook

  Please install Jupyter to read and interactive with the notebook.

  Online read-only versions：

  http://nbviewer.ipython.org/github/PySEE/home/tree/S2017/notebook/

• Source code for John V. Guttag

  Python3.X Version Source code: Introduction to Computation and Programming Using Python. Revised and expanded edition:

• Guide

  1. Python学习和开发环境的建立(教学版).docx

  2. Markdown

  3. Version Control and GitHub

  4. C/C++ Programming With GCC

  5. Ubuntu,Python,C/C++

• Practices(60)

  1. Github(5)：Github、Git

  2. Python(15)：Python、IDE

  3. Interactive Computing(15)：Jupyter Noteboo of the Rankine cycle

  4. Data Analysis(15)：Statistics, regression and visualization

  5. Unit Test(10)：IAPWS-IF97 physical properties calculation and unit test

  • Bonus Points(+5): C/C++ Programming with GCC，Ubuntu

Course Grades

The Course graded on an 100 point scale and then weighted according to the following distribution:

• In-class Exercises 20%
• Practice (~5) 60%, Bonus Points: +5
• Final Exam 20%

Update Course

This repository contain all files of the course. You can manually download these files,

but we recommend that you use git to clone and update this repository.

You can use any GUI git client to update this repository, for example: GitHub Desktop, EGit, VS Code.

You may also use the following commands if you have installed git:

Cloning to Your Computer

When you clone a repository you set up a copy on your computer. Run:

git clone https://github.com/PySEE/home.git

This will create a folder home on your computer, with the files in subdirectories.

Updating to The Latest Version

As we release new files, or if we update an already released files, you'll have to update your repository.

You can do this by changing into the home directory and executing:

git pull

That's it - you'll have the latest version of the repository.

Softwares for the Course

• Python3: https://www.python.org/downloads/
• Python Packages
  • Scipy for Windows: http://www.lfd.uci.edu/~gohlke/pythonlibs/
  • Jupyter: http://jupyter.org/

        >pip install jupyter
    

  • IAPWS-IF97:
    • https://github.com/PySEE/SEUIF97
    • https://github.com/jjgomera/iapws

        >pip install iapws
    

• Eclipse IDE
  • Java JDK: http://www.oracle.com/technetwork/java/javase/downloads/index.html
  • Eclipse CDT: http://www.eclipse.org/
  • Pydev: http://pydev.org/
• Visual Studio Code：https://code.visualstudio.com/
• Git for Windows. https://github.com/git-for-windows/git/releases
• MinGW-W64 (GCC) Compiler Suite: https://sourceforge.net/projects/mingw-w64/files/

Legitimate Software @ Southeast University

• January 2015, Southeast University and Microsoft Corp provide legitimate Windows, Office for the staffs and students.

  http://nic.seu.edu.cn/2015/0113/c12333a115289/page.htm

TIPS

We highly recommend you practice coding whenever you have a few minutes.

Even if you are just modifying available code, it will be incredibly beneficial.

You NEED to

• use other resources,

• read codes,

• get your hands dirty and practice