Applications

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Notes

Notes

JetBrains Toolbox

JetBrains Toolbox

Snippets

Snippets

Python Web App

Python Web App

RegEx

RegEx

Installation

Install on Windows

Place in high-level dir (C:\PythonX.X)

Source: https://www.youtube.com/watch?v=i-MuSAwgwCU&ab_channel=IDGTECHtalk

Multiple versions

Install in different dirs

Ensure system paths are pointed to default version

Source: https://www.youtube.com/watch?v=47kQVAdA6Fc&feature=emb_logo&ab_channel=IDGTECHtalk

Install Virtual Environments & Packages

Set up project dirs, install venv to each, and install package to those venvs to preserve a clean base install.

Create New Conda Environment

Verify that anaconda is configured to PATH system environment variable.

In Anaconda CMD prompt, specify environment name and python version:

conda create -n <env_name> python=3.7

Virtual Environments: https://www.youtube.com/watch?v=ohlRbcasPAc&ab_channel=IDGTECHtalk

Packages: https://www.youtube.com/watch?v=0PUxUMZJWu4&ab_channel=IDGTECHtalk

Source: https://towardsdatascience.com/virtual-environments-104c62d48c54

Install Virtual Environment with YML File

Using Anaconda Prompt, navigate to the location where the YML file to be installed from is located.

Input the following command to create venv using the specified YML file, and name the venv:

conda env create -f yml_file.yml --name venv_name

This will create the venv in the default Anaconda venv directory:

C:\Users\<username>\anaconda\anaconda3\envs

Environment Variables

Package Installation

Install via PyCharm and Conda Package Manager

Install with Anaconda

1. Start > Anaconda Prompt
2. Activate relevant environment.
Copy

C:\Users\username>conda activate C:/Users/<username>/anaconda/<environmentname>

3. Check list of current packages.
Copy

C:\Users\username>conda list

4. Install package.
Copy

C:\Users\username>conda install <packageName>

5. If the package install fails due to building wheel, explore option to install via wheel downloaded from Unofficial Windows Binaries for Python Extension Packages.

Install with PIP in Virtual Environments

Verify that pip is updated to latest version.

Installing packages using pip and virtual environments - Python Packaging User Guide

This guide discusses how to install packages using and a virtual environment manager: either for Python 3 or virtualenv for Python 2. These are the lowest-level tools for managing Python packages and are recommended if higher-level tools do not suit your needs.

packaging.python.org

How to install a package inside virtualenv?

Avoiding Headaches and Best Practices: Virtual Environments are not part of your git project (they don't need to be versioned) ! They can reside on the project folder (locally), but, ignored on your .gitignore. After activating the virtual environment of your project, never "sudo pip install package".

stackoverflow.com

Install via Command Prompt in Administrator Mode

System Default Python

py -m pip install package

Specific Python Version

py -2.7 -m pip install package

Install wheel file with PIP

Verify the package compatibility with Python version being downloaded and/or installed. In this example, the OpenEXR wheel file for Python 2.7 is being installed.

Activate virtual environment intended to receive package.

Note the path to the wheel file. If wheel is in the same folder as the intended Python version, then:

$ pip install OpenEXR-1.3.2-cp27-cp27m-win_amd64.whl
Processing c:\users\username\openEXR-1.3.2-cp27-cp27m-win_amd64.whl
Installing collected packages: OpenExr
Successfully installed OpenExr-1.3.2

Otherwise, include the path to the wheel file

$ pip install C:\Users\username\Documents\OpenEXR-1.3.2-cp27-cp27m-win_amd64.whl

Source: https://stackoverflow.com/questions/28568070/filename-whl-is-not-supported-wheel-on-this-platform

Packages & Modules

General

Add __init__.py files to directories so Python can treat them as packages and submodules.

__main__.py
top/
			__init__.py
			levelone/
							__init__.py
							module.py

Note the strategies for importing submodules based on the file structure above.

• Requires full name reference
Copy

import top.levelone.module

top.levelone.module.function()

• Reference module only
Copy

from top.levelone import module

module.function()

• Reference function only
Copy

from top.levelone.module import function

function()

References & Sources

Packages

Python Packages and You

Jean-Paul Calderone wrote an excellent blog post on the right way to structure a python project. This post will build on that post by covering concrete examples of how to write imports, how to distribute your package, and what not to do. As an example, we'll be looking at my own project, passacre.

blog.habnab.it

How to Create a Python Package - Python Central

When you've got a large number of Python classes (or "modules"), you'll want to organize them into packages. When the number of modules (simply stated, a module might be just a file containing some classes) in any project grows significantly, it is wiser to organize them into packages - that is, placing functionally similar modules/classes in the same directory.

www.pythoncentral.io

Absolute v. Relative Imports

Absolute vs Relative Imports in Python - Real Python

If you've worked on a Python project that has more than one file, chances are you've had to use an import statement before. In this tutorial, you'll not only cover the pros and cons of absolute and relative imports but also learn about the best practices for writing import statements.

realpython.com

PEP 328 -- Imports: Multi-Line and Absolute/Relative

The import statement has two problems: Long import statements can be difficult to write, requiring various contortions to fit Pythonic style guidelines. Imports can be ambiguous in the face of packages; within a package, it's not clear whether import foo refers to a module within the package or some module outside the package.

www.python.org

Modules

6. Modules - Python 3.9.0 documentation

If you quit from the Python interpreter and enter it again, the definitions you have made (functions and variables) are lost. Therefore, if you want to write a somewhat longer program, you are better off using a text editor to prepare the input for the interpreter and running it with that file as input instead.

docs.python.org

Load/Reload Multiple Packages

https://stackoverflow.com/questions/40353226/reload-a-whole-package-structure-in-python

https://stackoverflow.com/questions/1057431/how-to-load-all-modules-in-a-folder/1057534#1057534

UClass Type

For use of unreal.Object in Python, the uclass() decorator is used and can be supported with other decorators, like properties and functions, depending on the base object. Reference link above for docs on decorators.

Format

@unreal.uclass()
class PyObject(Object):
	python_property = unreal.uproperty(int)
	python_function = unreal.ufunction()

Example (UE4)

The use of pass notes a null block.

@unreal.uclass()
class ueUtil(unreal.GlobalEditorUtilityBase):
    pass

ueUtil().get_selected_assets()

Operation Commands

Jupyter Notebook/Lab

Activate specified virtual environment (venv_name). Navigate to base directory where Jupyter Lab is to be accessed from. This is key if the intended directory is on another drive on the computer. Once in the specified directory, input the following to access Jupyter Lab.

(venv_name) specified_directory>jupyter-lab

Bash

$ py

$ py -0

$ py -2.7

$ echo $PYTHONPATH

$ py -2.7 -m pip install -U PySide

$ py -2.7 -m pip install --upgrade pip

$ set

Anaconda Commands

List discoverable Anaconda environments

conda info --envs

conda info -e

Locate Anaconda environment

$ where anaconda
C:\Users\username\Anaconda2\Scripts\anaconda.exe

List packages in environment

conda list

Activate/Deactivate Virtual Environment

Navigate to directory where activate file is located for the intended venv, and enable it. Specified venv should be discoverable. The (env) notes that the venv is active.

$ conda activate venv_name
(env)

If venv is not accessible using the above, specify its absolute path, such as C:/Users/<username>/anaconda/pycharmCondaEnv37.

Once complete with operations within venv, verify that it is deactivated. The (env) is removed. This can also be confirmed by checking the current version of Python versus the default system version of Python.

conda deactivate

Python

>>> help('modules')

>>> help('glob')

>>> import <libName>

>>> exit()

import os
print(os.environ['NUKE_PATH'])

os.environ

Command Prompt (as Admin)

C:\windows\system32>assoc .usd=usdfiles
.usd=usdfiles
C:\windows\system32>ftype usdfiles=C:\usd\bin\usdview.cmd %1
usdfiles=C:\usd\bin\usdview.cmd %1

set

List drives and uses:

net use

PowerShell

List drives and uses:

Get-PSDrive

Qt Designer

Object & Layout Coordination

Resources

Gists

morphingdesign's gists

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gist.github.com

⚠️ Public gists cannot be converted to secret.

Markdown

Writing

Writing on GitHub is supported with its markdown syntax. The following links are references:

Mastering Markdown

Markdown is a lightweight and easy-to-use syntax for styling all forms of writing on the GitHub platform. What you will learn: How the Markdown format makes styled collaborative editing easy How Markdown differs from traditional formatting approaches How to use Markdown to format text How to leverage GitHub's automatic Markdown rendering How to apply GitHub's unique Markdown extensions Markdown is a way to style text on the web.

guides.github.com

Emoji Icons

These can quickly be accessed by typing the colon (:) button. Though not all show up immediately, others can be included by either typing additional letters to show available emoji icons or by referencing the following list of available emoji icons:

scotch-io/All-Github-Emoji-Icons

A repo of every emoji icon as a separate file and commit. - scotch-io/All-Github-Emoji-Icons

github.com

Frameworks/Modules

Support Tools

Keyboard Shortcuts

PyCharm

Jupyter Notebook

QT Designer Keyboard Shortcuts

Git Resources

Python Resources

On This Page

• Notes
• Installation
• Install on Windows
• Multiple versions
• Install Virtual Environments & Packages
• Install Virtual Environment with YML File
• Environment Variables
• Package Installation
• Install via PyCharm and Conda Package Manager
• Install with Anaconda
• Install with PIP in Virtual Environments
• Install via Command Prompt in Administrator Mode
• Install wheel file with PIP
• Packages & Modules
• General
• References & Sources
• Packages
• Absolute v. Relative Imports
• Modules
• Load/Reload Multiple Packages
• UClass Type
• Format
• Example (UE4)
• Operation Commands
• Jupyter Notebook/Lab
• Bash
• Anaconda Commands
• Activate/Deactivate Virtual Environment
• Python
• Command Prompt (as Admin)
• PowerShell
• Qt Designer
• Object & Layout Coordination
• Resources
• Gists
• Markdown
• Frameworks/Modules
• Support Tools
• Keyboard Shortcuts
• PyCharm
• Jupyter Notebook
• QT Designer Keyboard Shortcuts
• Git Resources
• Python Resources