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cointables

Cointables is a Python package that provides a simple and convenient framework to extract historical Open-High-Low-Close (OHLC) data for various cryptocurrencies from Binance. Cointables supports different sampling methods and GET approaches, allowing users to customize their data extraction process. This is a fork from bitcharts

Installation

Cointables can be installed using pip:

pip install cointables

It is recommended you run voxelmap using a virtualenv virtual environment. To do so, follow the below simple protocol to create the virtual environment, run it, and install the package there:

virtualenv venv
source venv/bin/activate
pip install cointables

To exit the virtual environment, simply type deactivate. To access it at any other time again, enter with the above source venv... command.

Metadata

Release files for cointables 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for cointables 0.1.2
File Size Uploaded
cointables-0.1.2.tar.gz 4.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for cointables 0.1.2
File Interpreter ABI Platform
cointables-0.1.2-py3-none-any.whl Python 3 none any Details

Total release size: 10.1 kB

Release files / cointables-0.1.2.tar.gz

Download URL cointables-0.1.2.tar.gz
Size 4.9 kB
Tags Source
SHA-256 checksum
How to use checksums
a612a67b648d66d108627ce864bd56ad1c6819c64551d7bf3acfa3110ac518d5
BLAKE2b-256 checksum
How to use checksums
d2c3fb2d81b369dc9881818fe611e0062bc36eab11e7ef934fd50bcf695520c3
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Uploaded via poetry/1.3.2 CPython/3.8.3 Linux/5.19.0-32-generic

Release files / cointables-0.1.2-py3-none-any.whl

Download URL cointables-0.1.2-py3-none-any.whl
Size 5.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
868688ae6353f6526d340e81ad31d0ae0d8aa79a74593a1363a30510b639e9e0
BLAKE2b-256 checksum
How to use checksums
0aebf5477df85437815570a78f6b693ec371be2421badb7e75cd1aa6b32f0f24
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Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.3.2 CPython/3.8.3 Linux/5.19.0-32-generic

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This release

0.1.2 This release

2 release files

0.1.1

2 release files

0.1.0

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