Guide Python, Windows

Requirements

• Python https://www.python.org/downloads/windows/
• Git Bash https://git-scm.com/downloads
• Conda https://conda.io/projects/conda/en/latest/user-guide/install/windows.html

Starting Virtual Environment for a Project

• masuk ke C:\Users[User]\anaconda3\envs
• klik kanan, open Git Bash
• conda create -n nama_project_atau_folder
• cd nama_project_atau_folder
• code . untuk membuka di vscode (code editor)
• [CTRL + `] untuk membuka terminal di vscode
• conda activate nama_project_atau_folder untuk mengaktifkan virtual environment python di terminal vscode
• sekarang, sudah bisa pip install, python, dan lain-lain

Guide Python, MacOS

• I'm using miniforge now because it's more recommended: https://github.com/conda-forge/miniforge
• Conda tutorial: https://kirenz.github.io/codelabs/codelabs/miniforge-setup/#3

Miniforge Conda

• conda create -n <PROJECT_NAME>
• conda activate
  • conda activate <PROJECT_NAME>
  • conda list
    • Now take a look at all the modules in your <PROJECT_NAME> environment
  • conda deactivate
  • conda install <PACKAGE_NAME>
    • alternative: pip install <PACKAGE_NAME>
• Installing
  • brew install miniforge

Jupyter Notebook

• 404 Loading forever bug https://stackoverflow.com/ques
• conda install -c conda-forge nbstripout
• nbstripout filename.ipynb.
  • Make sure that there is no whitespace in the filenam

Installing Packages

pip3 install package_name - - Using with [[TensorFlow]]: https://github.com/adis

Getting Started with Keras, Windows

This is a set of instructions on how to use Keras, from setting up the conda environment until getting results from python code with keras.

How I setup the tensorflow environment

Creating new environment with Anaconda (conda)

The complete documentation on how we could use conda is here https://docs.anaconda.com/anaconda/user-guide/tasks/tensorflow/

conda create -n <folder_name> tensorflow

cd into folder

conda activate <folder_name>

Install your dependencies (tensorflow, keras)

pip install tensorflow
pip install keras

Using Jupyter Notebook as Text Editor

https://jupyter.org/install

If you use conda, you can install it with:

conda install -c conda-forge jupyterlab

If you use pip, you can install it with:

pip install jupyterlab

If installing using pip install --user, you must add the user-level bin directory to your PATH environment variable in order to launch jupyter lab. If you are using a Unix derivative (FreeBSD, GNU / Linux, OS X), you can achieve this by using export PATH="$HOME/.local/bin:$PATH" command.

Run jupyter lab with

jupyter-lab

Use the Documentation

https://keras.io/getting_started/intro_to_keras_for_researchers/

Here are some python project examples:

• https://keras.io/examples/vision/image_classification_from_scratch/
• more on https://keras.io/examples/