Is python suitable for MCM/ICM? (Mathematical Contest In Modeling and Interdisciplinary Contest In Modeling)











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I’m preparing for MCM/ICM 2019 and many resources show that Matlab is the best programming language for mathematical modeling competition. But I don’t think I have enough time to learn it from the very beginning. Fortunately I have been familiar with python. So I wonder if I could focus all my energy on modeling using python?










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  • If you have a good knowledge of numpy/scipy/pandas/matplotlib, possibly also scikit-learn, statsmodels and others, it should be okay. The main risk is you need a mathematical function that is not yet in those libraries or is buggy. However, Python is arguably much simpler and its types and libraries (dict/set, regular expressions...) could help you get things done quickly. My advice: look at the past problems to see if Python would be too limited. After a quick look, it seems to me Python is good for this, possibily even better (but I know Python quite well, so I may be biased).
    – Jean-Claude Arbaut
    Nov 24 at 9:41












  • However, keep in mind that you won't have functionality found in the many toolboxes of Matlab. With Python, you get more or less the equivalent of a "naked" Matlab with no toolbox (except maybe for machine learning). Depending on what your university can provide you, it could make a huge difference.
    – Jean-Claude Arbaut
    Nov 24 at 9:44












  • @Jean-ClaudeArbaut I see. Your comment is really helpful. Especially the “naked matlab”, really easy to understand.
    – chaos_ko
    Nov 25 at 5:55















up vote
1
down vote

favorite












I’m preparing for MCM/ICM 2019 and many resources show that Matlab is the best programming language for mathematical modeling competition. But I don’t think I have enough time to learn it from the very beginning. Fortunately I have been familiar with python. So I wonder if I could focus all my energy on modeling using python?










share|cite|improve this question






















  • If you have a good knowledge of numpy/scipy/pandas/matplotlib, possibly also scikit-learn, statsmodels and others, it should be okay. The main risk is you need a mathematical function that is not yet in those libraries or is buggy. However, Python is arguably much simpler and its types and libraries (dict/set, regular expressions...) could help you get things done quickly. My advice: look at the past problems to see if Python would be too limited. After a quick look, it seems to me Python is good for this, possibily even better (but I know Python quite well, so I may be biased).
    – Jean-Claude Arbaut
    Nov 24 at 9:41












  • However, keep in mind that you won't have functionality found in the many toolboxes of Matlab. With Python, you get more or less the equivalent of a "naked" Matlab with no toolbox (except maybe for machine learning). Depending on what your university can provide you, it could make a huge difference.
    – Jean-Claude Arbaut
    Nov 24 at 9:44












  • @Jean-ClaudeArbaut I see. Your comment is really helpful. Especially the “naked matlab”, really easy to understand.
    – chaos_ko
    Nov 25 at 5:55













up vote
1
down vote

favorite









up vote
1
down vote

favorite











I’m preparing for MCM/ICM 2019 and many resources show that Matlab is the best programming language for mathematical modeling competition. But I don’t think I have enough time to learn it from the very beginning. Fortunately I have been familiar with python. So I wonder if I could focus all my energy on modeling using python?










share|cite|improve this question













I’m preparing for MCM/ICM 2019 and many resources show that Matlab is the best programming language for mathematical modeling competition. But I don’t think I have enough time to learn it from the very beginning. Fortunately I have been familiar with python. So I wonder if I could focus all my energy on modeling using python?







mathematical-modeling






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asked Nov 24 at 9:27









chaos_ko

63




63












  • If you have a good knowledge of numpy/scipy/pandas/matplotlib, possibly also scikit-learn, statsmodels and others, it should be okay. The main risk is you need a mathematical function that is not yet in those libraries or is buggy. However, Python is arguably much simpler and its types and libraries (dict/set, regular expressions...) could help you get things done quickly. My advice: look at the past problems to see if Python would be too limited. After a quick look, it seems to me Python is good for this, possibily even better (but I know Python quite well, so I may be biased).
    – Jean-Claude Arbaut
    Nov 24 at 9:41












  • However, keep in mind that you won't have functionality found in the many toolboxes of Matlab. With Python, you get more or less the equivalent of a "naked" Matlab with no toolbox (except maybe for machine learning). Depending on what your university can provide you, it could make a huge difference.
    – Jean-Claude Arbaut
    Nov 24 at 9:44












  • @Jean-ClaudeArbaut I see. Your comment is really helpful. Especially the “naked matlab”, really easy to understand.
    – chaos_ko
    Nov 25 at 5:55


















  • If you have a good knowledge of numpy/scipy/pandas/matplotlib, possibly also scikit-learn, statsmodels and others, it should be okay. The main risk is you need a mathematical function that is not yet in those libraries or is buggy. However, Python is arguably much simpler and its types and libraries (dict/set, regular expressions...) could help you get things done quickly. My advice: look at the past problems to see if Python would be too limited. After a quick look, it seems to me Python is good for this, possibily even better (but I know Python quite well, so I may be biased).
    – Jean-Claude Arbaut
    Nov 24 at 9:41












  • However, keep in mind that you won't have functionality found in the many toolboxes of Matlab. With Python, you get more or less the equivalent of a "naked" Matlab with no toolbox (except maybe for machine learning). Depending on what your university can provide you, it could make a huge difference.
    – Jean-Claude Arbaut
    Nov 24 at 9:44












  • @Jean-ClaudeArbaut I see. Your comment is really helpful. Especially the “naked matlab”, really easy to understand.
    – chaos_ko
    Nov 25 at 5:55
















If you have a good knowledge of numpy/scipy/pandas/matplotlib, possibly also scikit-learn, statsmodels and others, it should be okay. The main risk is you need a mathematical function that is not yet in those libraries or is buggy. However, Python is arguably much simpler and its types and libraries (dict/set, regular expressions...) could help you get things done quickly. My advice: look at the past problems to see if Python would be too limited. After a quick look, it seems to me Python is good for this, possibily even better (but I know Python quite well, so I may be biased).
– Jean-Claude Arbaut
Nov 24 at 9:41






If you have a good knowledge of numpy/scipy/pandas/matplotlib, possibly also scikit-learn, statsmodels and others, it should be okay. The main risk is you need a mathematical function that is not yet in those libraries or is buggy. However, Python is arguably much simpler and its types and libraries (dict/set, regular expressions...) could help you get things done quickly. My advice: look at the past problems to see if Python would be too limited. After a quick look, it seems to me Python is good for this, possibily even better (but I know Python quite well, so I may be biased).
– Jean-Claude Arbaut
Nov 24 at 9:41














However, keep in mind that you won't have functionality found in the many toolboxes of Matlab. With Python, you get more or less the equivalent of a "naked" Matlab with no toolbox (except maybe for machine learning). Depending on what your university can provide you, it could make a huge difference.
– Jean-Claude Arbaut
Nov 24 at 9:44






However, keep in mind that you won't have functionality found in the many toolboxes of Matlab. With Python, you get more or less the equivalent of a "naked" Matlab with no toolbox (except maybe for machine learning). Depending on what your university can provide you, it could make a huge difference.
– Jean-Claude Arbaut
Nov 24 at 9:44














@Jean-ClaudeArbaut I see. Your comment is really helpful. Especially the “naked matlab”, really easy to understand.
– chaos_ko
Nov 25 at 5:55




@Jean-ClaudeArbaut I see. Your comment is really helpful. Especially the “naked matlab”, really easy to understand.
– chaos_ko
Nov 25 at 5:55















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