Expandi.io
Dripify
Waalaxy
Dux Soup
Linked Helper
Skylead
lemlist
Apollo.io
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Expandi.io MatplotlibBased on our record, Matplotlib seems to be a lot more popular than Expandi.io. While we know about 114 links to Matplotlib, we've tracked only 5 mentions of Expandi.io. 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.
Also.. There are a few preferred email lookup integrations expandi.io has. I no longer see them listed on site. But they have a ton of built I integrations plus api + webhooks. There chat/email support is very good you could ask. Https://help.expandi.io/en/collections/3042112-webhooks-and-integrations-api. Source: about 3 years ago
If you want to target people that have not interacted with any landing page pixel or LinkedIn content, only those that connected, I would use https://expandi.io/ first to get them pixeled on a page or post/article/opt-in form. Then make custom audience on that. Otherwise I think what you got is the best way. Zapier & make & Waalaxys etc. Will all cost operations. But perhapse it is not worth targeting those not... Source: about 3 years ago
Also cold emails / DMS to business. Try linkedIN marketing tool like https://expandi.io. Source: over 3 years ago
Live broke for a few months while things close up, save up some of that juicy six figs, then when shit hits the fan, use the saved up money to hire a lead gen expert or invest in lead gen software like expandi.io. Source: over 4 years ago
I use Expandi and while it's not cheap, it works well. We have gotten big enough to outsource some of the building to a marketing company and they run our connections now. I post my own daily content, scheduled and unscheduled. Unscheduled content is "Me being me" and scheduled content is educational in nature. Source: over 4 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 / 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
Dripify - Supercharge LinkedIn prospecting and close more deals
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Waalaxy - The simplest LinkedIn automation tool on the market.
NumPy - NumPy is the fundamental package for scientific computing with Python
Dux Soup - Dux-Soup is a lead generation tool for LinkedIn.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
