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Community Data Science Course (Spring 2023)/Week 3 lecture notes
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==Programming lecture outline== * Dictionaries! ** Purpose (use dictionaries to store key/value pairs) ** Initialization <code>{}</code> ** Accessing elements ** Adding elements ** Changing elements ** <code>.values()</code> and <code>.values()</code> ** using <code>in</code> to look into dictionaries ** using <code>for</code> loops to iterate over dictionaries (e.g., lets build a list of every letter in the alphabet using wordplay data) ** A few notes about dictionaries: *** A given key can only have one value, but multiple keys can have the same value. *** Dictionaries do not guarantee ordering (although if you are using new versions of Python, order will be preserved). * Additional loop control ** <code>break</code> ** <code>continue</code> ** ''Note:'' These can be useful in combination to if statements and can also be super useful for debugging! * Writing to files: ** Using the <code>open("whatever.tsv", "w")</code> function ** Using the <code>with open() as my_file:</code> statement ** Writing to a file with <code>print(file=my_file)</code> ** Writing a tab-separated value file using "\t" (make sure we leave a header!) ** Now lets open it up and make a little graph * Defining our own functions! * A little bit on looking for help (if it hasn't come up already) ** Looking at StackOverflow ** Walking through the Python API documentation ** Using a reference card or cheatsheet
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