Search Results for "building"

...How do you securely connect to production data systems? How do you notify team members and triage when data validation fails? Great Expectations supports all of these use cases out of the box. Instead of building these components for yourself over weeks or months, you will be able to add production-ready validation to your pipeline in a day.

A python package that provides an easy access to elements of HTML and XHTML documents through the Document Object Model.

Construct is a python module for bit-level, symmetrical parsing and building of data structures. Complex constructs are formed by a hierarchy of less-complex constructs, as well as user-defined constructs.

TeXas assists the building process of LaTeX files and provides useful scripted features. It mainly acts as an automated build system. TeXbooklet creates booklets out of LaTeX files while TeXlayout creates a LaTeX file with a standard layout in it.

For 2D data objects in Python, you have 3 main options: - Numpy Array - Pandas DataFrame (built on np.array) - SQL table Numpy and Pandas are great for working with a complete set of data, but not very efficient for building up row by row. SQL is good for building up the object row by row, but you have to write SQL and leave the world of Python objects. PySimpleTable tries to find the middle ground with more flexibility than Numpy or Pandas for incrementally building a 2D object without needing to use SQL. Once the 2D object is created, call an included method to convert it to a more efficient and powerful Numpy Array or Pandas DataFrame for the real work. ...