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docs/mooc/index.md

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## Welcome to the course
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1. [Welcome to Python in High Performance Computing (video)](https://video.csc.fi/media/02-Python-for-HPC-Welcome-HIRES/0_elbgtamh)
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1. [Welcome to Python in High Performance Computing (video)](https://video.csc.fi/media/t/0_elbgtamh)
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2. [Prerequisities and structure of the course](python-and-performance/prerequisities.md)
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3. How well do you know Python? (quiz)
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4. [Setting up the programming environment](python-and-performance/setting-environment.md)
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## Performance challenges in Python
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5. Outline of Python performance issues (video)
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5. [Outline of Python performance issues (video)](https://video.csc.fi/media/t/0_s9lahndi)
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6. [Why are Python programs slow?](python-and-performance/performance-bottlenecks.md)
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7. Experiences about performance of Python programs (discussion)
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8. [Where program spends time?](python-and-performance/performance-analysis.md)
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9. [Using applications own timers](python-and-performance/using-own-timers.md)
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10. [Measuring small code snippets with timeit](python-and-performance/using-timeit.md)
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11. Using cProfile (video)
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11. [Using cProfile (video)](https://video.csc.fi/media/t/0_yevcle07)
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12. [Introducing heat equation](python-and-performance/heat-equation.md)
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13. [Hands-on: Performance analysis of heat equation solver](../../performance/cprofile/)
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14. Pros and cons of various performance analysis approaches (discussion)
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## Using NumPy
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1. Welcome to week 2 (video)
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2. Differences between Python lists and NumPy arrays (video)
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1. [Welcome to week 2 (video)](https://video.csc.fi/media/t/0_gzg3gomf)
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2. [Differences between Python lists and NumPy arrays (video)](https://video.csc.fi/media/t/0_ftg323rh)
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3. [Creating and accessing NumPy arrays](numerical-computing/creating-and-accessing.md)
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4. [Hands-on: Array creation](../../numpy/array-creation/)
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5. [Hands-on: Array slicing](../../numpy/array-slicing/)
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## Using Cython
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1. Welcome to week 3 (video)
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1. [Welcome to week 3 (video)](https://video.csc.fi/media/t/0_5snt9bv1)
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2. [What is Cython?](using-compiled-code/what-is-cython.md)
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3. [Creating Cython modules](using-compiled-code/creating-cython-modules.md)
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4. [Hands-on: Creating a simple Cython extension](../../cython/simple-extension/)
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5. [Using static typing](using-compiled-code/using-static-typing.md)
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6. [Avoiding function call overheads](using-compiled-code/avoiding-function-call-overheads.md)
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7. Where to add types? (video)
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7. [Where to add types? (video)](https://video.csc.fi/media/t/0_mdbo85x2)
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8. [Using NumPy with Cython](using-compiled-code/numpy-and-cython.md)
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9. [Hands-on: Cythonizing heat equation solver](../../cython/heat-equation/)
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10. How much speed up is possible with Cython? (discussion)
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## Introduction to parallel programming
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1. Welcome to week 4 (video)
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1. [Welcome to week 4 (video)](https://video.csc.fi/media/t/0_mzrawdbh)
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2. [Parallel programming concepts](parallel-programming/concepts.md)
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3. Processes and threads (video)
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3. [Processes and threads (video)](https://video.csc.fi/media/t/0_9il37s2b)
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## Message passing with Python
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4. [Introduction to MPI](parallel-programming/intro-to-mpi.md)
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5. Execution and data model in MPI (video)
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5. [Execution and data model in MPI (video)](https://video.csc.fi/media/t/0_yn26xva0)
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6. [Case study: Parallel sum](parallel-programming/parallel-sum.md)
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7. [Hands-on: Hello world](../../mpi/hello-world/)
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21. [Week 4 summary](parallel-programming/summary.md)
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22. [Bonus hands-on: Parallel heat equation solver](../../mpi/heat-equation/)
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23. [Course summary (video)](https://video.csc.fi/media/t/0_ulbifpy7)

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