diff options
| -rw-r--r-- | advanced_python/README.md | 1 | ||||
| -rw-r--r-- | basic_python/README.md | 7 | ||||
| -rw-r--r-- | data_analysis/README.md | 1 | ||||
| -rw-r--r-- | scipy/basic/README.md | 9 |
4 files changed, 7 insertions, 11 deletions
diff --git a/advanced_python/README.md b/advanced_python/README.md index e7fb8cd..cf142ea 100644 --- a/advanced_python/README.md +++ b/advanced_python/README.md @@ -12,7 +12,6 @@ and requires the use of yaksh for practice, self-assessment, and assessment. - Students should have completed the basic Python programming material. - One should have a Python 3.x installation with IPython installed. -- Use a reasonable editor, Canopy will work. - If one desires a more advanced editor, I suggest VS Code (https://code.visualstudio.com/) which is free, open source, and very powerful. diff --git a/basic_python/README.md b/basic_python/README.md index ddc0a1e..54066b7 100644 --- a/basic_python/README.md +++ b/basic_python/README.md @@ -37,11 +37,10 @@ hands-on session. Please install Python 3.x (or 2.7.x if 3.x is not available) for this course. On Linux, Windows and Mac OS X it is easiest to install Python and many other -useful packages by installing Canopy. Download the Canopy Python distribution -for your OS and architecture from here: https://store.enthought.com/downloads . +useful packages by installing Anaconda. Download the Anaconda Python distribution +for your OS and architecture from here: https://www.anaconda.com/products/individual. The instructions to install are available here https://docs.anaconda.com/anaconda/install/ -You could also use Anaconda or Conda along with the Spyder editor to obtain -the requirements. +You can use Anaconda or Conda along with the Spyder editor or the VSCode editor. On many Linux distributions, Python is already available. We suggest that you install Python 3.x and are comfortable with any text editor. Editors that diff --git a/data_analysis/README.md b/data_analysis/README.md index a00b95d..6f34cc8 100644 --- a/data_analysis/README.md +++ b/data_analysis/README.md @@ -22,7 +22,6 @@ attendees links to some useful material. - One should have a Python 3.x installation with the following packages: - IPython, scipy, matplotlib - pandas, statsmodels -- Use a reasonable editor, Canopy will work. - If one desires a more advanced editor, I suggest VS Code (https://code.visualstudio.com/) which is free, open source, and very powerful. diff --git a/scipy/basic/README.md b/scipy/basic/README.md index 59c8dc9..b26af41 100644 --- a/scipy/basic/README.md +++ b/scipy/basic/README.md @@ -46,12 +46,11 @@ The following packages need to be installed: - Matplotlib - Optionally install Mayavi. -On Linux, Windows and Mac OS X it is easiest to install these by installing -the Enthought Canopy. Download the Canopy Python distribution for your OS and -architecture from here: https://store.enthought.com/downloads. +On Linux, Windows and Mac OS X it is easiest to install Python and many other +useful packages by installing Anaconda. Download the Anaconda Python distribution +for your OS and architecture from here: https://www.anaconda.com/products/individual. The instructions to install are available here https://docs.anaconda.com/anaconda/install/ -You could also use Anaconda or Conda along with the Spyder editor to obtain -the requirements. +You can use Anaconda or Conda along with the Spyder editor or the VSCode editor. On many Linux distributions, these packages are easy to install. |