Mindblown: a blog about philosophy.

  • How to visualize high frequency financial data using Plotly and R

    In this article I show how to use the Plotly package to visualize financial data in high frequency using R. https://towardsdatascience.com/how-to-visualize-high-frequency-financial-data-using-plotly-and-r-97171ae84be1

  • Beautiful and Easy Plotting in Python — Pandas + Bokeh

    Although Matplotlib can satisfy all our needs when we want to plot something in Python, it is sometimes time-consuming to create a beautiful chart using it. Well, sometimes we may want to demonstrate something to the boss so that it would be nice to have some beautiful and interactive plots. https://towardsdatascience.com/beautiful-and-easy-plotting-in-python-pandas-bokeh-afa92d792167

  • This Raspberry Pi Network and Power Monitor Sends Outage Notifications

    Monitoring your network for connectivity and power outages can be very useful, especially when trying to isolate or prevent issues. While there are plenty of network monitoring applications available for PCs, this project was developed with the Raspberry Pi in mind. https://www.tomshardware.com/news/this-raspberry-pi-network-and-power-monitor-sends-outage-notifications

  • Interactive Power BI Custom Visuals with R

    A recent job focused on capturing and reporting project event data, the data we were capturing was all start dates, end dates, costs and resource assignments. Just before handover, it was missing an executive summary of the data. https://towardsdatascience.com/interactive-power-bi-custom-visuals-with-r-a6a4ac998710

  • Sublime Merge 2 – Features and Flexibility

    From the first release of Sublime Merge, we talked about the simple joy of software that ‘gets it really right’. For our team it means going beyond the minimum, making software as good as it can be, and paying attention to the details. https://www.sublimetext.com/blog/articles/sublime-merge-2-announcement

  • Reviewing Deepnote — The New IDE for Data Scientists

    Disclaimer: In no way I’m affiliated to Deepnote or any of it’s members. https://towardsdatascience.com/reviewing-deepnote-the-new-ide-for-data-scientists-90c3464ebc5e

  • Microsoft Business Applications Summit 2020 – Power Platform sessions quick reference

    Hi everyone! You asked for the sessions and we’ve delivered! https://powerbi.microsoft.com/en-us/blog/microsoft-business-applications-summit-2020-power-platform-sessions-quick-reference/

  • How to implement Clustering in Power BI using PyCaret

    In our last post, we demonstrated how to build an anomaly detector in Power BI by integrating it with PyCaret, thus allowing analysts and data scientists to add a layer of machine learning to their reports and dashboards without any additional license costs. https://towardsdatascience.com/how-to-implement-clustering-in-power-bi-using-pycaret-4b5e34b1405b

  • Web Scraping Tool & API

    Data Scraping is something that has to be done quite responsibly. You have to be very cautious about the website you are scraping. It could have negative effects on the website. There are FREE web scrapers in the market which can smoothly scrape any website without getting blocked. https://www.scrapingdog.com/blog/10-tips-to-avoid-getting-blocked-while-scraping

  • Build your first Anomaly Detector in Power BI using PyCaret

    In our last post, Machine Learning in Power BI using PyCaret, we presented a step-by-step tutorial on how PyCaret can be integrated within Power BI, thus allowing analysts and data scientists to add a layer of machine learning to their Dashboards and Reports without any additional license costs. https://towardsdatascience.com/build-your-first-anomaly-detector-in-power-bi-using-pycaret-2b41b363244e

Got any book recommendations?