Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
IdeaBuddy
Liveplan
Bizplan
Validator AI
Upmetrics
Cuttles.io
Strategyzer
Enloop
IdeaBuddy is an innovative business planning software that helps aspiring entrepreneurs, startups and teams to: - Design a business model - Develop business ideas by using a step-by-step guide - Validate a business concept - Make an investor-ready business plan
Who it is for: - Aspiring entrepreneurs and small business owners - Accelerators and incubators - Business schools and universities - Product managers - Consultants and accounting agencies
Matplotlib IdeaBuddyWhile it may be overwhelming at start, IdeaBuddy guides you through different segments and steps of opening your business that young startupers tend to neglect (such as competition analysis, funding and financial viability planning, taxes and fees, profitability, etc.). I am still to explore all of it, but what I saw was pretty useful already.
Based on our record, Matplotlib seems to be more popular. 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.
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 / 5 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 / 8 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 / 9 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 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 / 11 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Liveplan - LivePlan helps entrepreneurs and small-to-medium size business owners build dynamic business plans and track performance against their goals.
NumPy - NumPy is the fundamental package for scientific computing with Python
Bizplan - Modern business planning for startups
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
Validator AI - Get AI business validation for any idea
