Hi,
If you are planning to program in Python from your local computer, the best development environment to code, instruct and visualize data is using Jupyter notebook.
I really like working with Jupyter notebook (aka IPython Notebook) for coding in Python, R programs.
As a lot of us download and look at ipynb files to use it in our applications. Instead of copy and paste code into Python console window, Jupyter notebook provides more interactive way to write code in Python and tons of other languages.
If you got a punch of ipynb files and would like to install and start working with Jupyter, follow these below steps:
1) Open command prompt window, write below command:
2) After this installation is complete, navigate to the folder where you have set of ipynb files.
3) Run Jupyter notebook by executing the following command in the ipynb files folder:
4) A new browser window will open where it has jupyter files to start viewing or creating new ipynb files. Jupyter usually run on port 8888. The url for jupyter notebook looks like: http://localhost:8888/
Enjoy!
If you are planning to program in Python from your local computer, the best development environment to code, instruct and visualize data is using Jupyter notebook.
I really like working with Jupyter notebook (aka IPython Notebook) for coding in Python, R programs.
As a lot of us download and look at ipynb files to use it in our applications. Instead of copy and paste code into Python console window, Jupyter notebook provides more interactive way to write code in Python and tons of other languages.
If you got a punch of ipynb files and would like to install and start working with Jupyter, follow these below steps:
1) Open command prompt window, write below command:
pip install jupyter notebook
2) After this installation is complete, navigate to the folder where you have set of ipynb files.
3) Run Jupyter notebook by executing the following command in the ipynb files folder:
jupyter notebook
4) A new browser window will open where it has jupyter files to start viewing or creating new ipynb files. Jupyter usually run on port 8888. The url for jupyter notebook looks like: http://localhost:8888/
Enjoy!