Uchicago
professional.uchicago.edu › find-your-fit › professional-education › python-data-science
Python for Data Science | UChicago
December 2, 2024 - Learn to write high-performance Python code for data science in this 8-week online course from the University of Chicago – master data analysis, ML, and deployment.
University of Chicago
voices.uchicago.edu › nrtenergyandenvironment › python-resources-2
Python Resources | Data Science for Energy and Environmental Research
This is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. Use Data for Earth and Environmental Science Intermediate · An intermediate and multidisciplinary online course that teaches students to use the analytical tools necessary to undertake exploration of heterogeneous “big” scientific data.
Scientific Computing using Python Course (MATH 4332)
Easy. As. Hell. At least with Dr. Adabrah. This is coming from a MECH major who struggled quite a bit with C and C++. Python doesn’t have all the finicky syntax that C did and that may be why it’s so much easier to code with imo. But yeah don’t worry about it. I’ve actually been able to DO the homeworks completely on my own and he also doesn’t take off for getting things “wrong” unless you just absolutely missed the problem. We’ve only had one so far but exams are multiple choice aside from him asking you to essentially finish a small chunk of code (literally had to write like one line on the first one). Attendance isn’t mandatory and he posts the script from lectures onto eLearning. If you read those, try to comprehend them, and practice, you’ll be in for an A. I do recommend attending the exam reviews though. More on reddit.com
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October 25, 2022Python for Data Science
As far as I can see, the length of this course is 52 hours, including homework. The list of topics for the course looks really nice, but I simply don't see how they can cover those topics to any useful depth in just 52 hours. And 2800 USD for 52 hours of online education? Isn't that a bit steep? At that price, I would expect an on-site course, not an online course. I know they write that this online course is interactive, but still it sounds expensive. For comparison, an online MicroMaster in Statistics and Data Science at MIT costs 1500 USD for 682-862 hours. One quarter of that is machine learning with Python. That package is not with interactive sessions, but you do have access to TAs in an online discussion forum, as far as I have understood. And that is actually a course package, which is so recognized that you can later include it in a full Master at some universities (including Harvard!). More on reddit.com
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March 27, 2024Intro to Data Science I (Data 11800)
I took it last quarter. They coincidentally made a change in the learning material this year and advised us that it would be more difficult than before (I had heard it was not hard). I would not recommend it for someone with zero coding background. I had zero coding background before the class, and they assured us this class was geared toward people like that. However, I actually found it quite difficult. That being said, if you know Python/Pandas/Numpy, you’ll be fine! It’s all based on that. PM me if you want more details. Good luck! More on reddit.com
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January 11, 2022Honest review of CS program at Uchicago
Most of us don’t know what CS is like at other universities. I will say most CS majors I know have good job placements, and the major itself is pretty tough. More on reddit.com
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August 27, 2022Caam37830
caam37830.github.io › syllabus.html
Syllabus | Scientific Computing with Python
We will cover a variety of topics that are not adequately covered in Mastering SciPy, including basic Python (and some advanced topics), use of computing resources, basic numerical and algorithmic analysis, and additional libraries.
Class Central
classcentral.com › subjects › computer science
Free Course: Scientific Computing with Python from freeCodeCamp | Class Central
April 23, 2022 - excellent introduction to computer science. The lectures are clear and engaging, and the problem sets are challenging but rewarding. It takes effort, but you learn real fundamentals like algorithms, C, Python, and problem-solving.
Uchicago
mpcs-courses.cs.uchicago.edu › 2018-19 › autumn › courses › 51042-1
MPCS 51042 Python Programming (Autumn 2018)
This course provides a thorough overview of the Python 3 language with an emphasis on writing idiomatic code in Python and object-oriented design patterns and is suitable for students with some prior programming experience. We will develop an understanding of the core features of the languages and gain exposure to commonly used standard-library and third-party modules. ... Weekly classes will provide lectures, programming examples, and code review from previous assignments.
Caam37830
caam37830.github.io
Scientific Computing with Python | A course on scientific computing in the Python ecosystem.
This course is an introduction to scientific computing using the Python programming language intended to prepare students for further computational work in courses, research, and industry. Students will learn to design, implement, and test code in Python. The course will draw examples from numerical and discrete algorithms commonly encountered in scientific computing with an emphasis on design and performance considerations.
Uchicago
cam.uchicago.edu › academics › course-info › caam-courses-for-2021-2022 › autumn-2020-caam-37830stat-37830
AUTUMN 2021: CAAM 37830=STAT 37830 | Committee on Computational and Applied Mathematics | The University of Chicago
Students will learn to design, implement, and test code in Python. The course will draw examples from numerical and discrete algorithms commonly encountered in scientific computing with an emphasis on design and performance considerations. Topics will include numerical linear algebra, optimization, graph theory, data analysis, and physical simulations.
Uchicago
mpcs-courses.cs.uchicago.edu › 2019-20 › autumn › courses › 51046
MPCS Courses
This course provides a thorough overview of the Python 3 language with an emphasis on writing idiomatic code in Python and object-oriented design patterns and is suitable for students with some prior programming experience. We will develop an understanding of the core features of the languages and gain exposure to commonly used standard-library and third-party modules. Weekly classes will provide lectures, programming examples, in-class quizzes, and code review from previous assignments.
Caam37830
caam37830.github.io › book
Scientific Computing with Python — Scientific Computing with Python
Welcome to the course reader for Scientific Computing with Python, taught at the University of Chicago in Fall 2020.
Reddit
reddit.com › r/utdallas › scientific computing using python course (math 4332)
r/utdallas on Reddit: Scientific Computing using Python Course (MATH 4332)
October 25, 2022 -
Can anyone who has taken this class tell me how it is so far? (I know this is the first semester for this course). Like how time consuming are the assignments, how are the exams, is it fun/boring, how useful is the actual material, etc?
Thank you!
Uchicago
mpcs-courses.cs.uchicago.edu › 2018-19 › spring › courses › 51042
MPCS 51042 Python Programming (Spring 2019)
This course provides a thorough overview of the Python 3 language with an emphasis on writing idiomatic code in Python and object-oriented design patterns and is suitable for students with some prior programming experience. We will develop an understanding of the core features of the languages and gain exposure to commonly used standard-library and third-party modules. ... Weekly classes will provide lectures, programming examples, and code review from previous assignments.
Reddit
reddit.com › r/learnpython › python for data science
r/learnpython on Reddit: Python for Data Science
March 27, 2024 -
I found a certificate program from university of Chicago Python for Data Science. Does anyone have any experience with that program? Was it worth the effort for you?
Top answer 1 of 4
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As far as I can see, the length of this course is 52 hours, including homework. The list of topics for the course looks really nice, but I simply don't see how they can cover those topics to any useful depth in just 52 hours. And 2800 USD for 52 hours of online education? Isn't that a bit steep? At that price, I would expect an on-site course, not an online course. I know they write that this online course is interactive, but still it sounds expensive. For comparison, an online MicroMaster in Statistics and Data Science at MIT costs 1500 USD for 682-862 hours. One quarter of that is machine learning with Python. That package is not with interactive sessions, but you do have access to TAs in an online discussion forum, as far as I have understood. And that is actually a course package, which is so recognized that you can later include it in a full Master at some universities (including Harvard!).
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If spending $2k8 will motivate you to complete the training, yeah, do it. But FYI the information is free online, and the certificate at the end is useless.
Onlineprofessionaluchicago
programs.onlineprofessionaluchicago.com › python-data-science
Python for Data Science - UChicago Professional
This is a great course for solidifying Python programming knowledge.
University of Chicago
voices.uchicago.edu › cammasters › course-offerings
Selected Course Descriptions | Masters Program in Computational and Applied Mathematics
Course Description: This course is an introduction to scientific computing using the Python programming language intended to prepare students for further computational work in courses, research, and industry. Students will learn to design, implement, and test code in Python. The course will draw examples from numerical and discrete algorithms commonly encountered in scientific computing with an emphasis on design and performance considerations.
Rate My Courses
ratemycourses.io › uchicago › course › caam37830
CAAM 37830 UChicago Reviews - Rate My Courses
CAAM 37830 ratings of professors: at University of Chicago (Scientific Computing with Python) - Rate My Courses
Uchicago
mpcs-courses.cs.uchicago.edu › 2022-23 › spring › courses › mpcs-56430-1
MPCS 56430 Introduction to Scientific Computing (Spring ...
The assignments will consist of a mix or literature reading, programming, modeling, and basic scientific research using online resources. Assignments will reinforce the topics covered in lecture and will contain self-directed opportunities to allow students to pursue their personal interest and applications in the subject. A significant part of the programming assignments will utilize high-performance computing resources available from the University and from third-party vendors.
University of Chicago
people.cs.uchicago.edu › ~suhail › mpcs51042 › w23
MPCS 51042: Python Programming
The dates for homework and projects are subject to change with notice. There will be one exam, scheduled for Week #7. Details TBD. ... Grades are not curved in this class. The following is set of grading boundaries for this course: You must adhere to The University of Chicago and the Masters Program in Computer Science policy on academic honesty:
Uchicago
mpcs-courses.cs.uchicago.edu › 2022-23 › autumn › courses › mpcs-51046-1
Intermediate Python Programming
This course provides a thorough overview of the Python 3 language with an emphasis on writing idiomatic code in Python and object-oriented design patterns and is suitable for students with some prior programming experience. We will develop an understanding of the core features of the languages and gain exposure to commonly used standard-library and third-party modules. Weekly classes will provide lectures, programming examples, in-class quizzes, and code review from previous assignments.
University of Chicago
voices.uchicago.edu › nrtenergyandenvironment › intro_to_scientific_computing
Intro to Scientific Computing – 2020 | Data Science for Energy and Environmental Research
The course is designed for beginners to programming and/or Python, and was taught by Amanda Farah, Maria Hernandez, and Katie Dixon. ... Introduction to Scientific Programming: For students new to programming, a crash course in the basics to get you up to speed: variables, arrays, list, for loops, if statements, and functions, and how to work with NumPy, Pandas, and Matplotlib for basic data sciences purposes in Python.