Python for Social Science Data: Glossary

The REPL (Read-Eval-Print loop) allows rapid development and testing of code segments Jupyter notebooks builds on the REPL concepts and allow code results and documentation to be maintained together and shared Jupyter notebooks is a complete IDE (Integrated Development Environment) The Jupyter environment can be used to write code segments and display results Datatypes in Python are implicit based on variable values

Python for Social Science Data: Glossary https://tess.elixir-europe.org/materials/python-for-social-science-data-glossary The REPL (Read-Eval-Print loop) allows rapid development and testing of code segments Jupyter notebooks builds on the REPL concepts and allow code results and documentation to be maintained together and shared Jupyter notebooks is a complete IDE (Integrated Development Environment) The Jupyter environment can be used to write code segments and display results Datatypes in Python are implicit based on variable values