Coding Challenges and Software Failures in Research and Technology

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Explore the intersection of coding, software, and critical failures in high-stakes applications such as space missions. Learn from past mishaps like the Mars Climate Orbiter and Hitomi X-ray telescope, highlighting the importance of precision and accuracy in coding practices.

  • Technology
  • Coding
  • Software
  • Research
  • Failures

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  1. Python coding of MULTIPLYs processing chain Ioannis Binietoglou National Institute for R&D in Optoelectronics, Bucharest, Romania National Observatory of Athens, Athens, Greece

  2. Python coding of MULTIPLYs processing chain Ioannis Binietoglou National Institute for R&D in Optoelectronics, Bucharest, Romania National Observatory of Athens, Athens, Greece

  3. Coding is big part of our work Code is in the heart of research : Controlling instruments. Handling, exploring, processing data. Creating graphs and visualizations. 1stECARS Summer school, 30thMay 2016, Bucharest, Romania

  4. And bad code can be really bad Mars climate orbiter, NASA Cost: $193 million Last contact: 23 September 1999 Reason: The peer review preliminary findings indicate that one team used English units (e.g., inches, feet and pounds) while the other used metric units for a key spacecraft operation. 1stECARS Summer school, 30thMay 2016, Bucharest, Romania

  5. more than once! Hitomi Xray telescope, JAXA/NASA Cost: $370 million Last contact: 28 March 2016 Reason: But because the wrong command had been uploaded, the firing caused the spacecraft to accelerate further. The improper command had been uploaded to the satellite weeks earlier without proper testing; JAXA says that it is investigating what happened. 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  6. Coding is supposed to be an equal citizen 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  7. Is software was hardware Hardware Software 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  8. Is software was hardware Hardware Software 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  9. Is software was hardware Hardware Software 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  10. Our problems are not new Programmers have met these problems again and again. They can teach us good coding style, advanced programming concepts, but also time management, team interactions and learning practices. (but don t hire a university graduate to learn these...) 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  11. Why python Python is a high-level programming language: 1. Easy 2. Batteries included 3. Great community 4. General purpose 5. Cross-platform 6. Free 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  12. For scientific programming Fast arrays and matrices Plots and graphs A lot of libraries and features e.g machine learning, image processing... Syntax similar to MatLab 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  13. Scientific python stack 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  14. But is it fast enough? 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  15. 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  16. Lets start Start python . 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  17. Tutorials https://www.codecademy.com/learn/python https://docs.python.org/2/tutorial/ http://www.scipy-lectures.org/ http://github.com/jrjohansson/scientific-python-lectures (the basis of today s lectures) 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

  18. Resources Scientific distribution: Anaconda: https://www.continuum.io/downloads Development environments: Spyder: https://pythonhosted.org/spyder/ PyCharm: https://www.jetbrains.com/pycharm/ Interactive interpreter: Ipython, Jupyter notebooks: https://ipython.org/ 1st ECARS Summer school, 30th May 2016, Bucharest, Romania

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