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Commit a7a5120b authored by Jenni Rinker's avatar Jenni Rinker
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fix links on material

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......@@ -9,12 +9,12 @@ Cheatsheets
A collection of quick references from Matplotlib and Python
for Data Science:
* Jupyter notebook cheatsheet `download pdf <../../material/cheatsheets/jupyter_notebook_cheatsheet.pdf>`
* Numpy cheatsheet `download pdf <../../material/cheatsheets/numpy_cheatsheet.pdf>`
* Matplotlib cheatsheet `download pdf <../../material/cheatsheets/matplotlib_cheatsheet.pdf>`
* Numpy cheatsheet `download pdf <../../material/cheatsheets/numpy_cheatsheets.pdf>`
* Basic pandas cheatsheet `download pdf <../../material/cheatsheets/basic_pandas_cheatsheet.pdf>`
* Intermediate pandas cheatsheet `download pdf <../../material/cheatsheets/intermediate_pandas_cheatsheet.pdf>`
* Jupyter notebook cheatsheet :download:`download pdf <../../material/cheatsheets/jupyter_notebook_cheatsheet.pdf>`
* Numpy cheatsheet :download:`download pdf <../../material/cheatsheets/numpy_cheatsheet.pdf>`
* Matplotlib cheatsheet :download:`download pdf <../../material/cheatsheets/matplotlib_cheatsheet.pdf>`
* Numpy cheatsheet :download:`download pdf <../../material/cheatsheets/numpy_cheatsheets.pdf>`
* Basic pandas cheatsheet :download:`download pdf <../../material/cheatsheets/basic_pandas_cheatsheet.pdf>`
* Intermediate pandas cheatsheet :download:`download pdf <../../material/cheatsheets/intermediate_pandas_cheatsheet.pdf>`
Tutorials and exercises
......@@ -22,8 +22,9 @@ Tutorials and exercises
The following links are a series of Jupyter notebooks that allow
you to practice basic skills with Jupyter notebooks and common Python
packages used with scientific programming. Google how to run a Jupyter
notebook if you've never seen one before. :)
packages used with scientific programming.
Google how to run a Jupyter notebook if you've never used one before. :)
* Introduction to Jupyter notebooks :download:`download notebook <../../material/jupyter_notebooks/introduction_to_jupyter_notebooks.ipynb>`
* NumPy tutorial :download:`download notebook <../../material/jupyter_notebooks/2a-tutorial_numpy_array_basics.ipynb>`
......@@ -38,7 +39,7 @@ notebook if you've never seen one before. :)
Slides from previous editions
------------------------------
January 2022:
January 2022 (Python only):
* Day 1 :download:`download pdf <../../material/slides/2022/CodeCamp_Jan2022_Day1.pdf>`
* Day 2 :download:`download pdf <../../material/slides/2022/CodeCamp_Jan2022_Day2.pdf>`
......@@ -46,7 +47,7 @@ January 2022:
* Day 4 :download:`download pdf <../../material/slides/2022/CodeCamp_Jan2022_Day4.pdf>`
August 2021:
August 2021 (Python and Matlab):
* Day 1 :download:`download pdf <../../material/slides/2021/CodeCamp_Day1.pdf>`
* Day 2 :download:`download pdf <../../material/slides/2021/CodeCamp_Day2.pdf>`
......
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