the %run magic command. Typically, you will work on a computational problem in pieces, organizing related ideas into cells and moving forward once previous parts work correctly. This is much more convenient documented in the configuration file and the user documentation. • Running a Notebook server • Related: Configuring a language kernel to run in the Notebook server enables your server to run other languages cell.cell_type == 'code': # transform the input to executable Python code = self.shell.input_transformer_manager.transform_cell(cell.source) # run the code in themodule exec(code, mod.__dict__) finally:

the %run magic command. Typically, you will work on a computational problem in pieces, organizing related ideas into cells and moving forward once previous parts work correctly. This is much more convenient documented in the configuration file and the user documentation. • Running a Notebook server • Related: Configuring a language kernel to run in the Notebook server enables your server to run other languages cell.cell_type == 'code': # transform the input to executable Python code = self.shell.input_transformer_manager.transform_cell(cell.source) # run the code in themodule exec(code, mod.__dict__) finally:

the %run magic command. Typically, you will work on a computational problem in pieces, organizing related ideas into cells and moving forward once previous parts work correctly. This is much more convenient documented in the configuration file and the user documentation. • Running a Notebook server • Related: Configuring a language kernel to run in the Notebook server enables your server to run other languages cell.cell_type == 'code': # transform the input to executable Python code = self.shell.input_transformer_manager.transform_cell(cell.source) # run the code in themodule exec(code, mod.__dict__) finally:

the %run magic command. Typically, you will work on a computational problem in pieces, organizing related ideas into cells and moving forward once previous parts work correctly. This is much more convenient are documented in the configuration file and the user documentation. Running a Notebook server Related: Configuring a language kernel [https://jupyter.readthedocs.io/en/latest/install.html#installing-kernels] # transform the input to executable Python code = self.shell.input_transformer_manager.transform_cell(cell.sou rce) # run the code in themodule

the %run magic command. Typically, you will work on a computational problem in pieces, organizing related ideas into cells and moving forward once previous parts work correctly. This is much more convenient are documented in the configuration file and the user documentation. Running a Notebook server Related: Configuring a language kernel [https://jupyter.readthedocs.io/en/latest/install.html#installing-kernels] # transform the input to executable Python code = self.shell.input_transformer_manager.transform_cell(cell.sou rce) # run the code in themodule

the %run magic command. Typically, you will work on a computational problem in pieces, organizing related ideas into cells and moving forward once previous parts work correctly. This is much more convenient # transform the input to executable Python code = self.shell.input_transformer_manager.transform_cell(cell.input) # run the code in themodule exec(code

the %run magic command. Typically, you will work on a computational problem in pieces, organizing related ideas into cells and moving forward once previous parts work correctly. This is much more convenient are documented in the configuration file and the user documentation. Running a Notebook server Related: Configuring a language kernel [https://jupyter.readthedocs.io/en/latest/install- kernel.html] to # transform the input to executable Python code = self.shell.input_transformer_manager.transform_cell(cell.sou rce) # run the code in themodule

the %run magic command. Typically, you will work on a computational problem in pieces, organizing related ideas into cells and moving forward once previous parts work correctly. This is much more convenient documented in the configuration file and the user documentation. • Running a Notebook server • Related: Configuring a language kernel to run in the Notebook server enables your server to run other languages cell.cell_type == 'code': # transform the input to executable Python code = self.shell.input_transformer_manager.transform_cell(cell.source) # run the code in themodule exec(code, mod.__dict__) finally:

the %run magic command. Typically, you will work on a computational problem in pieces, organizing related ideas into cells and moving forward once previous parts work correctly. This is much more convenient Documentation, Release 5.5.0 # transform the input to executable Python code = self.shell.input_transformer_manager.transform_cell(cell.source) # run the code in themodule exec(code, mod.__dict__) finally: documented in the configuration file and the user documentation. • Running a Notebook server • Related: Configuring a language kernel to run in the Notebook server enables your server to run other languages

the %run magic command. Typically, you will work on a computational problem in pieces, organizing related ideas into cells and moving forward once previous parts work correctly. This is much more convenient documented in the configuration file and the user documentation. • Running a Notebook server • Related: Configuring a language kernel to run in the Notebook server enables your server to run other languages cell.cell_type == 'code': # transform the input to executable Python code = self.shell.input_transformer_manager.transform_cell(cell.source) # run the code in themodule exec(code, mod.__dict__) finally: