Python-bloggers

Saliency maps for Convolutional Neural Networks are a technique used to visualize and understand the behavior of CNN models, particularly in tasks such as image classification, object detection and segmentation. They highlight which parts of an ...

We were impressed with Shiny Assistant’s performance for R Shiny apps – but you already know that. Will Shiny Assistant for Python impress us the same way? You’re about to find out. This article will show you how we used Shiny Assistant to build a Python application around the ...

I needed an offline copy of an economic calendar with all of the major international economic events. After grubbing around the internet I found the Economic Calendar on Myfxbook which had everything that I needed.

Time series analysis lets analysts identify patterns, trends, and cyclic fluctuations over time. These insights are essential for accurate forecasting, strategic planning, and informed decision-making. Despite its significance, working with dates and times in a sophisticated manner is often hindered by Excel, which has become the butt of many internet ...

Excel has long been a go-to tool for data analysts to crunch numbers and perform data analysis. Traditionally, its ability to handle text data, particularly for advanced analysis tasks like sentiment analysis, was seen as limited. Analysts seeking meaningful insights from text often resorted to more specialized tools or cumbersome ...

When Copilot for Excel was first introduced, it primarily served as a tool to automate basic Excel tasks like sorting, filtering, conditional formatting, and creating formulas. However, as the AI has evolved and more resources have been invested in the product, it now supports more advanced functionalities, including sophisticated data ...

It has been almost 2 months since a few of our developers tried using the Robot framework to make the automation process smoother and cleaner. They prefer choosing this framework because it’s easy to use and offers an extensive array of libraries.   The capabilities it provided to our developers were ...

Advanced Analysis with Python in Copilot for Excel can help with many data analysis tasks that would typically be challenging to execute in Excel. From building predictive models using techniques like random forests to uncovering patterns and relationships through clustering and principal component analysis, and even analyzing text data for ...

Gradient checkpointing has emerged as a pivotal technique in deep learning, especially for managing memory constraints while maintaining high model performance. In the rapidly evolving field of AI, out-of-memory (OOM) errors have long been a bottleneck for many projects. Gradient checkpointing, particularly in PyTorch, offers an effective solution by optimizing ...