BitPay
Coinbase
CoinGate
CoinPayments
NOWPayments
0xProcessing
PayPal
Stripe
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
BitPay
MatplotlibBitPay is recommended for businesses seeking an easy way to accept cryptocurrency payments, particularly those new to the space, as well as individual users who prefer a straightforward platform for managing their crypto transactions.
Based on our record, Matplotlib should be more popular than BitPay. It has been mentiond 114 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Plenty of software solutions like https://bitpay.com/ do this. Source: about 3 years ago
Also, both Crypto.com and Bitpay offer a debit card that can be loaded using crypto. It's actually quite convenient, but just understand that 1) once the money is in, you can't get it out, and 2) you can't use the card to purchase crypto (lol). And a bit of a pro tip, if you're looking to load one of these cards with, let's say, a few thousand dollars, make sure to swap your ETH to a stablecoin (i.e. USDC, USDT,... Source: about 3 years ago
Can you message me the invoice ID? Once received, I will contact you from bitpay.com Support Channel. Source: about 3 years ago
1) Easiest: use a 3rd party API like BitPay. Downside: they charge a 1% + $0.25 for every payment. Source: over 3 years ago
For example, an article on a crypto forum about how a particular company is 'accepting Bitcoin' will not point out that in most cases, the company in question is not actually accepting crypto, but instead partnering with an intermediary exchange who will accept crypto, convert it to fiat, and then pay the company. This is also the case with Paypal. They're lauded as now allowing people to buy/sell crypto, but in... Source: over 3 years ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 7 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Coinbase - Bitcoin, safe and easy.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
CoinGate - CoinGate is a payment gateway for Bitcoin, XRP, Litecoin, Ethereum and 50 other cryptocurrencies.
NumPy - NumPy is the fundamental package for scientific computing with Python
CoinPayments - Payment gateway providing buy now buttons, shopping carts, and more to accept Bitcoin, Litecoin, and other cryptocurrencies/altcoins on your website/online store.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.