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index.rst lesson to right day in menu
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docs/index.rst

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@@ -250,74 +250,7 @@ Preliminary schedule
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- Bring your own problems
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- All
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.. list-table:: Preliminary schedule Friday 6 December
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:widths: 20 25 40 15
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:header-rows: 1
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* - Time
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- Topic
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- Content
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- Teacher
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* - 9:00
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- Analysis with Python part I (50)
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- Pandas
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- Rebecca
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* - 9:50
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- **Coffee**
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-
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-
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* - 10:05
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- Analysis with Python part II (50)
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- Pandas & Seaborn
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- Rebecca
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* - 10.55
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- **Short leg stretch**
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-
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-
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* - 11:10
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- Parallelism part I: MPI, Processes, Dask
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- Processes, MPI
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- Pedro
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* - 12:00
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- **LUNCH**
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-
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-
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* - 13:00
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- Big Data with Python (35)
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- File formats and packages, Chunking
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- Björn
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* - 13:50
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- **Short leg stretch**
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-
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-
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* - 14:05
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- Machine and Deep Learning part I (50)
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- Pytorch, Tensorflow, ScikitLearn
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- Jayant
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* - 14.55
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- **Coffee**
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-
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-
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* - 15:10
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- Machine and Deep Learning part II (40)
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- Pytorch, Tensorflow, ScikitLearn
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- Jayant
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* - 15.50
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- **Short leg stretch**
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-
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-
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* - 16.00
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- Summar and Q&A and avaluation
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-
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-
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* - 16.20
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- Use cases and Q&A
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- Bring your own problems
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- All
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* - 16.45
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-
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-
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-
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Prepare your environment now!
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-----------------------------
@@ -521,35 +454,35 @@ Content of the course
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.. toctree::
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:maxdepth: 2
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:caption: Lessons day 2:
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:caption: Lessons day 2 (basig analysis and packages):
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day2/intro.rst
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day2/load_run_packages.rst
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day2/install_packages.rst
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day2/use_isolated_environments.rst
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day2/batch.md
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day2/interactive.md
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day2/IDEs.rst
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day2/ondemand-desktop.rst
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day2/IDEs.rst
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day2/Matplotlib60min.rst
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day2/gpu.md
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summary1.rst
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day2/python_at_hpc_centers.rst
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.. toctree::
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:maxdepth: 2
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:caption: Lessons day 3:
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:caption: Lessons day 3 (advanced analysis):
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day3/pandas.rst
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day3/Seaborn-Intro.rst
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day3/parallel.rst
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day2/batch.md
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day3/big_data.md
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summary2.rst
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.. toctree::
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:maxdepth: 2
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:caption: Lessons day 4:
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:caption: Lessons day 4 (parallel and ML):
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day3/parallel.rst
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day2/gpu.md
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day4/ml.md
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.. toctree::

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