MediaWiki API result

This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.

Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.

See the complete documentation, or the API help for more information.

{
    "batchcomplete": "",
    "continue": {
        "gapcontinue": "Scripting",
        "continue": "gapcontinue||"
    },
    "query": {
        "pages": {
            "44": {
                "pageid": 44,
                "ns": 0,
                "title": "Review for Courses",
                "revisions": [
                    {
                        "contentformat": "text/x-wiki",
                        "contentmodel": "wikitext",
                        "*": "Review information for CS courses.  We can put links to content to review, tutorials, past final exams, etc.\n\n* [[Theory of Computation]]"
                    }
                ]
            },
            "16": {
                "pageid": 16,
                "ns": 0,
                "title": "STEM Majors",
                "revisions": [
                    {
                        "contentformat": "text/x-wiki",
                        "contentmodel": "wikitext",
                        "*": "This page contains some advice for non-CS majors who are interested in programming or have some need for programming in their coursework or research.  Note that this advice also applies to CS majors who are working on interdisciplinary projects.\n\n== Programming Languages ==\nThe most popular (open-source) programming languages for science and mathematics are currently Python and R.  Both are also popular currently because they are used a great deal in data science.  There are a great many other languages which have been popular in the past or are still useful in particular situations.  But if you are starting out fresh it is likely that Python or R would be your best bet for getting started.  Another language/tool of note is GNU Octave, which is an open-source free alternative to MATLAB.\n\n== Python == \nFor people new to python (or programming in general) there are many tutorials at [https://wiki.python.org/moin/BeginnersGuide/Programmers python.org's Beginner's Tutorial Page].\nPython scripts are grouped into \"packages\" for easy distribution. The most used packages for data analysis are listed here as well as some links to places to learn them:\n* numpy: [https://numpy.org/doc/stable/user/absolute_beginners.html Numpy Absolute Beginner's Guide] \n* scipy: [https://docs.scipy.org/doc/scipy/reference/ Scipy Documentation]\n* pandas: [https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html 10 Minutes to Pandas]\n* matplotlib: [https://matplotlib.org/stable/tutorials/introductory/pyplot.html#sphx-glr-tutorials-introductory-pyplot-py Pyplot Tutorial]\n* pytorch: [https://pytorch.org/tutorials/ Tutorials]\n\nWhen working with large datasets, the bottleneck is usually around efficiently iterating and structuring through the data. It useful to learn and understand basic Algorithms and Data Structures as well. The information at [https://www.tutorialspoint.com/data_structures_algorithms/index.htm Tutorialspoint] is a good starting point on learning basic Data Structures and Search/Sort algorithms.\n\n== R == \nMention Bioconductor, R information linked from GH 101 page, R for Data Science\n\nR is a programming language used primarily by mathematicians and data analysts. It's used for statistic computing and graphics, though it can be used for data mining as well. R can be used by [https://cran.r-project.org/ command line] or in third party programs like [https://www.rstudio.com/ RStudio]. A good tutorial of the language can be found at [https://www.tutorialspoint.com/r/index.htm Tutorialspoint].\n\nOther Resources for R:\n* [https://www.bioconductor.org/ Bioconductor] (For Computational Biology, Genomes)\n* [https://r4ds.had.co.nz/ R for Data Science]\n\n== Octave ==\nOctave is a powerful alternative to MATLAB licensed under the GNU General Public License. It can be downloaded from their [https://www.gnu.org/software/octave/index website]. There is also a [https://wiki.octave.org/Using_Octave tutorial] and [https://octave.org/doc/v6.2.0/index.html#SEC_Contents full documentation] on their site."
                    }
                ]
            }
        }
    }
}