bitcoin-data-analysis

(★ 12)

Tools for analyzing data on Bitcoin and Lightning Network

File Explorer

  • .env.example
  • .gitignore
  • Dockerfile
  • LICENSE
  • Makefile
  • pyproject.toml
  • README.md
  • requirements.txt
  • setup.py

# Use via CDN

jsDelivr

jsDelivr serves any public GitHub repository as a CDN with zero setup. Pick a version and a file to get a ready-to-paste link and snippet.

Command Glossary

Commands referenced in this DOCs, explained below.

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git clone

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Clone an existing repository.

git clone {{remote_repository_location}} {{path/to/directory}}

Clone an existing repository into a new directory (the default directory is the repository name):

git clone --recursive {{remote_repository_location}}

Clone an existing repository and its submodules:

git clone {{[-n|--no-checkout]}} {{remote_repository_location}}

Clone only the `.git` directory of an existing repository:

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nano

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Text editor. An enhanced `pico` clone.
See also: `pico`, `rnano`.

nano {{path/to/file1 path/to/file2 ...}}

Open specific files, moving to the next file after closing the previous one:

nano {{[-I|--ignorercfiles]}}

Start the editor without using configuration files:

nano +{{line}},{{column}} {{path/to/file}}

Open a file and position the cursor at a specific line and column:

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pip install

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Install Python packages.

pip install {{package1 package2 ...}}

Install one or more packages:

pip install {{package1 package2 ...}} {{[-U|--upgrade]}}

Upgrade all specified packages to the latest version, installing any that are not already present:

pip install {{package}}=={{version}}

Install a specific version of a package:

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poetry install

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Install all dependencies for a Python project as defined in the pyproject.toml file.

poetry install

Install dependencies:

poetry install --no-root

Skip installing the project itself as a dependency:

poetry install --without dev

Install only production dependencies:

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poetry run

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Run a command in the project's virtual environment.

poetry run {{command}}

Run a command inside the virtual environment:

poetry run {{command}} {{argument1 argument2 ...}}

Run a command with arguments:

poetry run {{script_name}}

Run a script defined in `pyproject.toml`:

# Project Badges

// repository documentation