Excel is an incredibly versatile tool, but its built-in charting options are limited when it comes to geospatial data visualization. Thankfully, with Python, you can tap into powerful libraries like Folium to create interactive geospatial plots in Excel. By integrating Python into Excel with PyXLL, you can seamlessly bring these visualizations into your spreadsheets. In
It used to be an “either/or” choice between Excel and Python Jupyter Notebooks. With the introduction of the PyXLL-Jupyter package now you can use both together, side by side.
Whether you’re trading for yourself or part of a large trading team, you will more than likely work with huge data sets. Whether you’re developing and refining your own technical indicators or running fully automated algorithmic trading using machine learning, having fast and easy access to accurate data sets is key. Accurate data sets are
A guide to the different solutions available for working with Excel and Python. From reading and writing Excel files, to using Python as a VBA replacement in Excel.
PyXLL 5.9.0 is now available! 🥳 There are some big improvements and new features in this release. I’ve recorded a short video to tell you more… Highlights New html based interactive plotting I’m really excited about the new interactive html based plotting integration.Plotting using plotly, bokeh and altair by rendering static images is still possible,
Wow! It’s been a long time since I wrote Plotting in Excel with Python and Matplotlib – #2. A lot has changed since then and this Part 3 post is long over-due! I you have followed the previous two blog posts then everything contained there will still work. But, with updates to the PyXLL add-in
Unlock the full potential of your YouTube video research by seamlessly integrating Python in Excel. As a content creator, staying ahead requires insightful data on video performance and trending topics. While YouTube offers valuable data, the real game-changer is having that information readily available in Excel! Traditional web scraping tools like PowerQuery fall short when
PyXLL makes returning arrays and DataFrames of data from Python to Excel simple. Python functions can return entire tables of data directly into Excel as user defined function (or UDF). All we require to do that is PyXLL’s @xl_func decorator. Python Array Functions in Excel: https://www.pyxll.com/docs/userguide/udfs/arrayfuncs.html But what if you want to format your data
PyXLL 5.5.0 supports using Python 3.11 in Excel. When looking back at history of Python we may well remember Python 3.11 as a major milestone. The performance of Python has long been a topic of debate among even the most dedicated Python fans. Python detractors often quote performance as a reason (often unfounded!) not to