URL Encoder/Decoder Encode or decode URL strings easily Input Output Encode Decode Clear All URL encoding and decoding are fundamental concepts in web development and network communications. When data is transmitted over the internet, URLs must conform to a specific…
BCD to Decimal Converter Convert Binary-Coded Decimal (BCD) values into standard base-10 numbers BCD Input Decimal Output Convert BCD Clear All What is a BCD to Decimal Converter? I like binary, but let’s be honest—binary-coded decimal (BCD) makes life a…
JSON to YAML Converter Turn compact JSON into readable, indentation-based YAML instantly JSON Input YAML Output Convert JSON Clear All What is a JSON to YAML Converter? I love JSON for its strict structure, but sometimes I want the elegance…
JSON to XML Converter Turn any valid JSON into clean, standards-friendly XML in one click JSON Input XML Output Convert JSON Clear All What is a JSON to XML Converter? I love how JSON keeps data light and friendly for…
XML to JSON Converter Convert structured XML into clean, readable JSON instantly XML Input JSON Output Convert XML Clear All What is an XML to JSON Converter? I have wrestled with XML more times than I care to count. It…
IDN Encode Convert international domain names to Punycode format Domain Input Encoded Output Encode IDN Clear All What is an IDN Encode Tool or Punycode Converter? I love domain names and the way they connect people to content around the…
Image processing is a core skill for anyone working in scientific computing, computer vision, biology, engineering, or even basic data analysis. With Python’s scipy.ndimage, you get direct, high-performance access to essential image processing tools—no complex setup, no need for heavy…
Detecting peaks in signals is a must-have technique for anyone working with sensor data, biomedical signals, vibration analysis, or any periodic measurement. Peaks often correspond to important events – heartbeats, local maxima, machinery faults, or cycles in experimental data. In…
Filtering signals is essential for cleaning up noisy data, extracting trends, and preparing inputs for further analysis in science, engineering, and data work. In Python, the scipy.signal subpackage makes designing and applying filters straightforward and flexible. Here’s how to filter…
Signal processing in Python often starts with the scipy.signal module. If you need to filter, analyze, or extract features from signals – like cleaning up sensor data, audio, or biomedical measurements – scipy.signal delivers powerful, efficient tools you can use…