In the beginnings were...data and data types. Which is where we begin our journey through C++. The language provides for a range of interesting, fundamental, complex and custom types - one of which is a set of pointer types.
My guest in this episode is Marc Hartung from Dive in Berlin, Germany.

Links:

• https://en.wikipedia.org/wiki/Pointer_(computer_programming) summary of what pointers are
• https://en.wikipedia.org/wiki/Address_(programming_language) one of the early uses of pointers in the APL language
• https://en.wikipedia.org/wiki/Memory_management article on memory management
• https://learn.microsoft.com/en-us/cpp/cpp/type-conversions-and-type-safety-modern-cpp an article on type conversion
• https://gcc.gnu.org/onlinedocs/gcc/_005f_005fint128.html GCC compiler and support for 128bit integers
• https://en.wikipedia.org/wiki/C%2B%2B_Standard_Library C++ Standard Library
• https://dl.acm.org/doi/pdf/10.1145/242604.242613 Ań article on how the C++ Standard Library emerged
• https://en.wikipedia.org/wiki/Standard_Template_Library the Standard Template Library (not to be confused with the C++ Standard Lib)

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This podcast is brought to you by the Advanced Research Computing Centre of the University College London, UK.
Producer and Host: Peter Schmidt

This first episode is about introducing C++, where it started, how it evolved. You will hear from 2 practitioners: Klaus Iglberger (C++ coach/trainer) and Marc Hartung (tech lead at Dive in Berlin).

Here are a few links for you to follow up on:

• https://www.stroustrup.com The Home Page of Bjarne Stroustrup who created C++. There are plenty of links for you to follow
• https://isocpp.org/std/the-standard The C++ standard homepage
• https://www.mn.uio.no/tjenester/it/hjelp/programvare/simula/versions/simula-1967/commonbasedefinition1967.pdf the specs of Simula 67, still available online. Simula inspired B Stroustrup for C++
• https://www.divecae.com Dive the company Marc Hartungs works at who produce simulation software (hydrodynamics)
• https://github.com/igl42 Klaus Iglberger's GitHub

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This podcast is brought to you by the Advanced Research Computing Centre of the University College London, UK.
Producer and Host: Peter Schmidt

In this last episode of this course, I talk to Itamar Turner-Trauring who created the website PythonSpeed and spent a considerable time on finding ways to make Python code faster and more efficient. Python and its ecosystem also have great tools how you can measure performance.

Links:

• https://pythonspeed.com a set of articles and recommendations on how to improve your performance
• https://blog.sentry.io/python-performance-testing-a-comprehensive-guide/ a general blog post on performance testing
• https://uwpce-pythoncert.github.io/SystemDevelopment/profiling.html
  • https://uwpce-pythoncert.github.io/SystemDevelopment/index.html
• https://en.wikipedia.org/wiki/Computer_performance
• https://python-102.readthedocs.io/en/latest/performance.html
• https://docs.python.org/3/tutorial/datastructures.html
• https://www.green-algorithms.org
• https://doi.org/10.1145/356635.356640 Donald Knuth's paper on over optimisation
• https://wiki.python.org/moin/TimeComplexity
• https://blog.jetbrains.com/dataspell/2023/08/polars-vs-pandas-what-s-the-difference/ comparing Polars with Panda

Profiling tools

• https://pyinstrument.readthedocs.io/en/latest/
• https://docs.python.org/3/library/profile.html
• https://docs.python.org/3/library/time.html the time function in Python
• https://docs.python.org/3/library/timeit.html another function to measure time in Python
• https://jiffyclub.github.io/snakeviz/ a graphic profile viewer
• https://bloomberg.github.io/memray/ flexible memory profiler
• https://github.com/benfred/py-spy
  • https://www.wrighters.io/profiling-python-code-with-py-spy/
• https://github.com/P403n1x87/austin-python The Python wrapper for the Austin profiler

Don't be shy - say Hi

This podcast is brought to you by the Advanced Research Computing Centre of the University College London, UK.
Producer and Host: Peter Schmidt