Python-bloggers

AI-powered code generation raises an intriguing question about the differences between artificial neural attention and human thought processes in writing code. Developers take years to become skilled at programming through hands-on experience and intuition. Neural models, however, tackle code generation through mathematical attention mechanisms and pattern recognition. The comparison between ...

On Day 19, we introduced circular block sampling and used it to test the likelihood the 200-day SMA strategy would outperform buy-and-hold over a five year period. We found that the 200-day outperformed buy-and-hold a little over 25% of the time acr...

On Day 18 we started to discuss simulating returns to quantify the probability of success for a strategy out-of-sample. The reason for this was we were unsure whether or how much to merit the 12-by-12’s performance relative to the 200-Day SMA. We di...

On Day 17 , we compared the 12-by-12 and 200-day SMA strategies in terms of magnitude and duration of drawdowns, finding in favor of the 200-day. We also noted that most of the contributors to the differences in performance were due to two periods a...

In an earlier post, I discussed adding conditional formatting to an Excel chart. One key benefit of using Python in Excel for this—rather than relying on standard Excel charting—is the flexibility it offers. With Python, it’s simpler to adjust the chart when adding new variables or expanding ...

Introduction This post describes a particular use-case for Python in Excel and how it was solved using the R package Reticulate 1.39.0 along with the ExcelRAddIn. A while back I read an interesting post on LinkedIn that identified a number of criteria...

On Day 16, we showed the adjusted 12-by-12 strategy with full performance metrics against buy-and-hold, the 60-40 SPY-IEF ETF portfolio, and the 200-day SMA strategy. In all cases, it tended to perform better than the benchmarks. However, against th...

Companies just need more Python Selenium automation experts as they expand their testing capabilities. A well-laid-out Python Selenium resume opens doors to promising career opportunities in test automation. Job seekers who showcase their expertise in Python programming, Selenium WebDriver, and test automation frameworks excel among competitors in the ever-changing field ...

Data reshaping is a vital task in modern data analysis. Data analysts can handle complex data transformations quickly with dcast and variable labels in data.table R. The data.table package provides powerful tools to restructure datasets. These tools help professionals work with large-scale data manipulation tasks in R. This ...

Gradient boosting with any regression algorithm in Python and R package mlsauce. Part4, Time series forecasting