The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

Syndication 10 simple Python tips to speed up your data analysis October 12, 2020 - 11:39 am Tips and tricks, especially in the programming world, can be very useful.

Discover how Julius AI simplifies complex data analysis for US businesses and researchers. Learn about its recent $10M ...

Useful Libraries for Data Analysis Whenever I start a data analysis project, I like to have at a minimum the following libraries installed: Requests. Matplotlib. Requests-html. Pandas.

According to the company, Insight Partners led the investment with participation from Mubadala Capital. Bloomberg reported ...

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 great because it includes an interactive mode for learning the language and quickly testing out code ideas. IPython ...

6 min read Scenario Analysis: Python Code Snippets for Forecasting Investment Performance Copy and paste these code snippets to forecast investment performance in any market conditions.

Python Integration in Excel TL;DR Key Takeaways : Integrating Python into Excel enhances data analysis by combining Excel’s accessibility with Python’s advanced analytical and visualization tools.

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out.