
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
PayPal
Stripe
PayPal Braintree
Payoneer
Wise
Skrill
Amazon Pay
Square
Matplotlib
PayPalI used PayPal for years, but lately itโs been one of the most frustrating payment services Iโve dealt with. Their customer support feels almost nonexistent โ long wait times, scripted replies that donโt solve anything, and nobody seems empowered to actually help you.
One of the worst things is how easily they freeze or limit accounts, sometimes without clear explanation, leaving you unable to access your money for weeks. And when you try to dispute a charge or problem with an order, it often feels like you get brushed off rather than any real help.
Overall, PayPal used to be convenient, but recent experiences on safety holds, opaque policies, and unhelpful support make it feel more like a headache than a reliable way to pay or get paid
I like PayPal, it has a high security standard. Except when I am the one suffering a chargeback for some flimsy reasons.
Based on our record, Matplotlib seems to be a lot more popular than PayPal. While we know about 114 links to Matplotlib, we've tracked only 1 mention of PayPal. 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.
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 / 8 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
(I live in USA) When I go to payments under my shopify account to add paypal as a payment method I am having trouble doing so. I first click activate paypal > activate paypal express checkout which directs me to a "security challenge" (confirm I am not a robot). Then it just brings me to paypals website (paypal.com/us/home). When I sign in nothing happens, I am just on my paypal homescreen. Source: over 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Stripe - Online payment processing for internet businesses. Stripe is a suite of payment APIs that powers commerce for online businesses of all sizes. Use Stripeโs payment platform to accept and process payments online for easy-to-use commerce solutions.
NumPy - NumPy is the fundamental package for scientific computing with Python
PayPal Braintree - An all-in-one solution to accept, process, and split payments in your mobile app or online - from small business to large enterprise.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
Payoneer - Whether making international payments, receiving funds, managing your digital business, or accessing capital, Payoneer opens your business up to the world.