There are a few different ways that you can link Binance in Python. One way is to use the unofficial Python client for the Binance API.
Another way is to use the official Binance API, which is a REST API.
If you want to use the unofficial Python client for the Binance API, you can find it on Github. The client is called “python-binance”. To install it, you can use pip:
pip install python-binance
Once you have installed the client, you will need to create a file called “binance_api_key.py” in the same directory as your Python script. In this file, you will need to set your API key and secret:
BINANCE_API_KEY = ‘Your-API-Key’ BINANCE_SECRET = ‘Your-Secret’
Now that you have set up your environment, you can start coding. The first thing you need to do is import the client:
from binance.client import Client
Next, you will need to create an instance of the Client class. You will need to pass your API key and secret to this class:
client = Client(api_key, api_secret)
Now that you have an instance of the Client class, you can start using the Binance API. For example, let’s say you want to get the latest price of Bitcoin:
# Get ticker for BTC/USDT btc_ticker = client.get_ticker(symbol=’BTCUSDT’) print(btc_ticker) # Get latest price of BTC in USD btc_price = float(btc_ticker[‘lastPrice’]) print(btc_price) # Get 24 hour volume for BTC/USDT btc_volume = float(btc_ticker[‘volume’]) print(btc_volume) # Get 24 hour price change for BTC/USDT btc_priceChange = float(btc_ticker[‘priceChange’]) print(btc_priceChange) # Get 24 hour price change percent for BTC/USDT btc_priceChangePercent = float(btc_ticker[‘priceChangePercent’]) print(btc_priceChangePercent) # Get highest price for BTC/USDT in last 24 hours btc_highPrice = float(btc_ticker[‘highPrice’]) print(btc_highPrice) # Get Lowest price for BTC/USDT in last 24 hours btc_lowPrice = float(btcLinking Binance with Python can be done in a few different ways depending on what kind of functionality you are looking for.
If you are just looking to get some basic information about prices and volume, then using the unofficial Python client or the official REST API would be sufficient. If you are looking for more advanced functionality, then using the official Python SDK would be a better option.