Harness the Power of Data Science to Optimize Your Core Business Applications
Big Data is everywhere, but it would not have any intrinsic value without the actionable insights provided through data science. […]
Data Security
Data security is paramount in the era of remote work. Discover why downloading data to spreadsheets poses risks such as loss of control, file exploitation, and increased exposure of sensitive information.
DSUM of all things
Excel’s database functions provide a user-friendly way to manipulate data. Explore DCOUNT, DMAX, DMIN, and DSUM to efficiently parse and analyze information from your lists.
Method or Function?
In Python, methods and functions may seem similar, but they serve distinct purposes. Explore how methods interact with objects within classes, while functions are standalone blocks of code, and make informed coding decisions.
Style with Conditional Formatting
Want to make your data stand out? Dive into the world of DataFrame styling in Python. Learn how to use styling functions to transform your DataFrames into visually appealing presentations.
How to add Table of Contents
Tired of navigating lengthy Markdown documents? Learn how to enhance document organization by adding a Table of Contents with internal section-links. Discover the markdown_toclify.py script, your key to streamlined Markdown content management
Investigating Unexpected Data Sources
Data is abundant, but the real gems are often hiding in unexpected places. Dive into the world of data sleuthing and explore unconventional sources like social media feeds, metadata, and publicly available data to supercharge your operational efficiency.
Outline Your Code
Don’t let aimless coding slow you down. Discover the power of outlining your code before you start. With a clear plan in hand, you’ll avoid unnecessary backtracking and bugs, saving you valuable programming time.
How to Deal with Empty Values
Don’t let null values derail your data analysis. Discover effective techniques for managing them in large data sets, whether it’s through deletion, replacement with central tendencies, or retaining them for advanced machine learning.
Data Frame
Harness the simplicity of data visualization with Pandas. Learn how to use pd.DataFrame.plot() to instantly display your DataFrame and create diverse chart types, from lines to bars and histograms, all within Pandas, eliminating the need for external libraries.