Python Overview and Exam Review

Main.PythonExamReview History

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June 17, 2021, at 03:57 PM by 136.36.4.38 -
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%width=550px%Attach:python_exam_review.png
June 17, 2021, at 03:01 PM by 136.36.4.38 -
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Attach:download.png [[https://nbviewer.jupyter.org/url/apmonitor.com/che263/uploads/Main/practice_final_exam.ipynb|Python Practice Exam (Jupyter Notebook)]] on [[https://colab.research.google.com/github/APMonitor/learn_python/blob/master/Practice_Final_Exam.ipynb|Google Colab]]
to:
Attach:download.png [[https://nbviewer.jupyter.org/url/apmonitor.com/che263/uploads/Main/practice_final_exam.ipynb|Python Practice Exam (Jupyter Notebook)]] on [[https://colab.research.google.com/github/APMonitor/learn_python/blob/master/Practice_Final_Exam.ipynb|Google Colab]]

'''Solutions'''

Attach:download.png [[https://nbviewer.jupyter.org/url/apmonitor.com/che263/uploads/Main/practice_final_solutions.ipynb|Python Practice Exam Solutions (Jupyter Notebook)]] on [[https://colab.research.google.com/github/APMonitor/learn_python/blob/master/Practice_Final_Solutions
.ipynb|Google Colab]]
June 17, 2021, at 02:50 PM by 136.36.4.38 -
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Attach:download.png [[https://nbviewer.jupyter.org/url/apmonitor.com/che263/uploads/Main/python_practice_exam.ipynb|Python Practice Exam (Jupyter Notebook)]] on [[https://colab.research.google.com/github/APMonitor/learn_python/blob/master/Practice_Final_Exam.ipynb|Google Colab]]
to:
Attach:download.png [[https://nbviewer.jupyter.org/url/apmonitor.com/che263/uploads/Main/practice_final_exam.ipynb|Python Practice Exam (Jupyter Notebook)]] on [[https://colab.research.google.com/github/APMonitor/learn_python/blob/master/Practice_Final_Exam.ipynb|Google Colab]]
June 17, 2021, at 02:49 PM by 136.36.4.38 -
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!!!! Practice Final Exam

Attach:download.png [[https://nbviewer.jupyter.org/url/apmonitor.com/che263/uploads/Main/python_practice_exam.ipynb|Python Practice Exam (Jupyter Notebook)]] on [[https://colab.research.google.com/github/APMonitor/learn_python/blob/master/Practice_Final_Exam.ipynb|Google Colab]]
June 17, 2019, at 09:58 PM by 10.37.89.19 -
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(:title Computational Tools for Engineers - Python Exam Review:)
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(:title Python Overview and Exam Review:)
May 06, 2019, at 10:47 PM by 10.37.43.118 -
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Attach:download.png [[https://nbviewer.jupyter.org/url/apmonitor.com/che263/uploads/Main/python_overview.ipynb|Python Review (Jupyter Notebook)]]
to:
Attach:download.png [[https://nbviewer.jupyter.org/url/apmonitor.com/che263/uploads/Main/python_overview.ipynb|Python Review (Jupyter Notebook)]] on [[https://colab.research.google.com/github/APMonitor/learn_python/blob/master/Exam_review.ipynb|Google Colab]]
May 31, 2018, at 01:58 PM by 184.223.93.115 -
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Attach:download.png [[https://nbviewer.jupyter.org/url/apmonitor.com/wiki/uploads/Main/python_overview.ipynb|Python Review (Jupyter Notebook)]]
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Attach:download.png [[https://nbviewer.jupyter.org/url/apmonitor.com/che263/uploads/Main/python_overview.ipynb|Python Review (Jupyter Notebook)]]
May 31, 2018, at 01:52 PM by 184.223.93.115 -
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!!!!Mid-Term Exam 2: Python

The second mid-term exam in this course covers concepts from Python programming. Below is
a some review material on numeric and scientific Python.
to:
This mid-term exam covers concepts from Python programming. Below is review material on numeric and scientific Python with a video tutorial playlist. The Jupyter notebook contains the solutions to each of the problems.

Attach:download.png [[https://nbviewer.jupyter.org/url/apmonitor.com/wiki/uploads/Main/python_overview.ipynb|Python Review (Jupyter Notebook)]]
March 17, 2017, at 10:40 PM by 86.91.137.35 -
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(:title Computational Tools for Engineers - Python Exam Review:)
(:keywords exam, midterm, programming, Engineer, Scientist, Python, university:)
(:description Python Exam Review for Computer Skills for Chemical Engineers at Brigham Young University:)

In preparation for the Python exam, please review the [[Main/CourseCompetencies|list of course competencies]] and note any that you have learned or need more work to master.

!!!!Mid-Term Exam 2: Python

The second mid-term exam in this course covers concepts from Python programming. Below is a some review material on numeric and scientific Python.

(:html:)
<iframe width="560" height="315" src="https://www.youtube.com/embed/videoseries?list=PLLBUgWXdTBDgeaeHTG8bpRmSS2fMCMRGg" frameborder="0" allowfullscreen></iframe>
(:htmlend:)