Soil Classification-EOAS-with Python

Python script to utilize given CPT data for preliminary liquifiction analysis and output the data in excel file and a plotting them using matplotlib.

Things you will need

• Powershell(Windows), Ubuntu Terminal(Windows Subsystem Linux version) or Terminal(macOS)
• An IDE:
  • Eclipse
  • VSCode
  • Notepad++
• Package Managers:
  • Homebrew
  • pip - Install Python3 using pip
  • python3+ - CHECK your current python version by python --version

Tips and Tools

• General Syntax
  • You don’t have to know much other than some basic stuff
  • It’s always a good idea to look into documentation if you use something from a library
  • Try thinking everything in your PLAIN language first, then translate it to what you need to do.
• Functions
  • Always a good idea to break down your code into sections called “functions”. Very similar to how Math functions work.
  • Don’t put too many things in your main function.
• Bugs and Workarounds
  • Opensource problems. At any rate, in a workplace, you will be expected to find a solution or a workaround to any bugs that you face that doesn’t have an “official” bug fix.

Resources

• Syntax and sample exercises to get you familiar with Python:
  1. https://developers.google.com/edu/python
  2. https://www.coursera.org/learn/python
• Setting up Python environment (Python 3+) May have to spend some time correctly setting it up. A lot of systems still use Python2.7
  1. https://www.tutorialspoint.com/python/python_environment.htm
  2. https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/
  3. HomeBrew https://brew.sh/
  4. Pip3 https://pip.pypa.io/en/stable/
  5. And of course, YouTube!
• You may be required to download additional things like Python Linter and other extensions based on the IDE you use. Autocompletion is helpful
  1. https://kite.com/ <- Helps with autocomplete snippets
  2. PyCodeStyle is a good linter. It can be annoying sometimes, but is helpful with neatness!
  3. https://github.com/psf/black <- makes your script look pretty, very aggressive though!
• If you come across weird errors, just google them! Chances are people faced the same kind of problems. StackOverflow and google is your best friend.
  1. https://askubuntu.com/questions/70883/how-do-i-install-python-pandas
  2. https://pypi.org/project/numpy/
  3. https://pypi.org/project/matplotlib/
• A little bit of shell commands like ls, sudo(careful!!!), cd