Pipedrive
Zoho CRM
Freshsales CRM
Copper
SugarCRM
Insightly
Alore CRM
Agile CRM
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Pipedrive is the easy-to-use, #1 user-rated CRM tool. Get more qualified leads and grow your business. Sign up for a 14-day free trial.
Pipedrive PandasPipedrive has made our business much more efficient in following up deals. Keep track of deals, meetings, mails and phone calls all in one place. We can quickly follow up on offers and used Pipedrive's automations and API to integrate our Vizito trials directly into Pipedrive.
It offers the most flexibility while maintaining an easy-to-use interface and their support is superb!
Keep up the great work!
All alternatives are good but we prefer Pipedrive because of its great customization and most fit for company/business development.
Based on our record, Pandas seems to be a lot more popular than Pipedrive. While we know about 199 links to Pandas, we've tracked only 2 mentions of Pipedrive. 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.
I feel like Microsoft could offer a more robust CRM than what's present with 'Contacts' under Outlook, and pretty easily. Something like Pipedrive... I mean it could syncronize all the datapoints that local Microsoft programs already have access to: mail, contacts, projects, teams, and LinkedIn. Source: over 1 year ago
Pipedrive → our CRM for tracking leads, tasks, conversations, and deals. We chose Pipedrive because it does a good job of providing an intuitive and relatively simple CRM while still having enough features to track our sales conversations. Pricing is accessible. Source: over 2 years ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / 9 days ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 27 days ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 20 days ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 3 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Zoho CRM - Omnichannel CRM for Businesses of all sizes
NumPy - NumPy is the fundamental package for scientific computing with Python
Freshsales CRM - A full-fledged CRM for high-velocity sales teams.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Copper - Copper (formerly ProsperWorks) is easy-to-use customer relationship management for small businesses. Capture contacts and sales leads direct from Gmail with our simple CRM.
OpenCV - OpenCV is the world's biggest computer vision library
