Categories / python
Choosing between DATE and TIMESTAMP formats When working with dates in BigQuery, consider the following: Use the `DATE` format when you need to store or compare only dates (e.g., birthdays). Use the `TIMESTAMP` format when you need to include time information (e.g., log timestamps). Both formats are supported in BigQuery queries and operations.
2023-09-30    
Calculating Ratios in Pandas DataFrames: A Comprehensive Guide to Average Values
2023-09-30    
Creating a Graph from a Pandas DataFrame: A Comparison of Two Approaches Using NetworkX
2023-09-29    
10 Ways to Condense Repeating Python Code Using Functions, Data Structures, and Design Patterns
2023-09-28    
Retrieving Data from Existing Barplots in Python: A Comprehensive Guide
2023-09-28    
Sniffing Bluetooth Packets using Scapy on Raspberry Pi 5: A Step-by-Step Guide
2023-09-28    
Displaying Decimal Places and Commas in Jupyter/Pandas: Mastering Float Formatting
2023-09-28    
Handling Missing Values in Pandas DataFrames: Complementing Daily Time Series with NaN Values until the End of the Year
2023-09-27    
Filtering Partial Values in a Pandas Column Using String Matching Functions, Boolean Indexing, and Datetime Comparison
2023-09-27    
Efficiently Accumulating Volume Traded Across Price Levels in Large DataFrames
2023-09-27