Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API, with Python via the BQL Object Model. This session will feature practical demonstrations, code ...

Python is now integrated into Excel via Microsoft 365, allowing users to write Python code directly in spreadsheets using the `=PY` formula, enhancing data analysis and visualization capabilities.

TL;DR Key Takeaways : Python integration in Excel enhances data analysis by combining Python’s flexibility with Excel’s accessibility, allowing advanced analytics and workflow optimization ...

Python has several libraries that can be used for sentiment analysis, including Pattern, NLTK, TextBlob, and spaCy. These libraries provide a wide range of features, such as tokenization, part-of ...

Introduction to Python for Data Analysis Recall that R is a statistical programming language—a language designed to do things like t -tests, regression, and so on. The core of R was developed during ...

import pandas as pd import statsmodels.formula.api as smf First, fetch the data needed for style analysis of equity funds. Obtain the unique tickers for the funds you plan to analyze.