Mailmodo
Loops.so
MailerLite
MailChimp
Moda
Customer.io
Stripo
Selzy
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
At Mailmodo, we are building the future of marketing and transactional emails. With Mailmodo, businesses will be able to add web-like interactivity like forms, survey, calendar, likes, comments, etc. right inside emails to their users. This will help them to engage their users better and achieve a higher conversion rate from their emails.
MailmodoBased on our record, NumPy seems to be a lot more popular than Mailmodo. While we know about 122 links to NumPy, we've tracked only 2 mentions of Mailmodo. 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.
Yeah, the ability to do this is ~3 years old, so there are few no-code tools, and it's expensive to do in house. None of the no-code tools that do exist are verticalized around eCommerce. Check out mailmodo.com for an example of a horizontally positioned company in the space. Source: over 3 years ago
Mailmodo helps marketers create app-like experiences in email by adding forms, shopping cart, calendar, NPS and more widgets within the email without any coding. Our interactive emails reduce the number of steps for users, thereby increasing email conversions by ~3x for brands like Razorpay, Cleartax, etc. You can use it to collect feedback from your users, book meetings with prospects, recover abandon carts,... Source: over 4 years ago
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch. - 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
AI starts with math and coding. You donโt need a PhDโjust high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Pythonโs syntax is straightforward. - Source: dev.to / 11 months ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / over 1 year ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / almost 2 years ago
Loops.so - We bought a billboard in Times Square and we're letting you advertise your startup on it!It's free.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
MailerLite - Affordable Email Marketing Software. Get all features (Segmentation, Automation, A/B testing) for up to 1,000 subscribers & send unlimited emails for free!
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
MailChimp - MailChimp is the best way to design, send, and share email newsletters.
OpenCV - OpenCV is the world's biggest computer vision library