1.10 Python Basics Part 1 - IP
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>> Hello everyone, and welcome back to intro to
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Python here on cybrary on demand.
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You are watching Lesson 7,
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the final lesson of Module
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1 and you're watching it here with me,
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your instructor Joe Perry.
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Today in Lesson 7,
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what we're going to cover are the four Python datatypes.
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There're actually more than four Python data types,
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but these are the four we're going to worry about,
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strings, numbers, lists, and dictionaries.
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We're going to try and do this all in one fell swoop.
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We're going to just run through each of them.
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Each of these, by the way,
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is actually going to be the subject of
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its own lesson in Module 2.
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Strings, numbers, lists, and dictionaries all going to
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deep dive lesson in Module 2.
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Don't worry too terribly much if you don't
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necessarily know how to
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use all of them at the end of this video,
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most of them are just there so that
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we know what they are and to
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familiar with them when we see
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them in the code for the next module.
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The first example, strings,
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you may remember from our variables lesson,
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variables are Tupperware for your brain.
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They're just places to store data.
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Strings and Python are denoted rather by using quotes,
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either double or single quotes.
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In this case, you can write something, for example,
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we are in the knights who say ni.
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If you don't know that reference that as
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a money Python reference.
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In fact, in the name of the Python programming language,
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if I didn't mention it before,
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is actually a reference to Monty Python.
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You're going to see a lot of jokes
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about Monty Python when you're going
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through code and documentation
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and tutorials for this language.
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X is now the string,
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we are the Knight's who say, ni,
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we can print x as we've done with
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Hello World and it will work just fine.
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In fact instead of doing prints, Hello World,
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[NOISE] we could have
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simply set that string equal to a variable
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[NOISE] and printed it that way.
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Now it's worth noting that in a lot of cases,
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people will want to just print the string directly.
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It's not a terrible situation to do that in Python.
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Python's are relatively memory safe language,
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so you can usually get away
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with directly printing strings.
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But when you're working with some modules,
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for example, SQL,
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you usually want to interpret it
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through a variable because there are ways
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that you can implement security by
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using the variable instead
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of just using the string directly.
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Then of course, having variables where people can
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store input strings is always essential.
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Wrong command, those are strings.
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Now we're going to go ahead and we're going to talk
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about numbers in Python.
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Numbers in Python work
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exactly the same way that strings do,
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except that they are created without quotes.
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If you're familiar with other languages,
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you may know that in,
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for example, C there are
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a whole bunch of different types of number.
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There are integers, there are floats.
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There are bools which are actually
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just numbers and C. There are bools,
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there are longs, there are doubles,
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there are words, there are quad words.
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All sorts of different types of number in Python,
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those are all abstracted out and you just have numbers.
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You can have z equals 1.24,
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you can have w equals 14/2 anything.
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Of course that will actually evaluate
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out and just perform seven.
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Now you'll notice that that seven has
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a decimal like the 1.24 did,
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but neither of these numbers had that.
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That's because division in Python automatically
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assigns a float under the hood.
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It's still usable as a normal Python number,
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but you will see the decimal place because Python
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is interpreting it as a float,
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which is an integer with decimal places.
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You can do math and Python.
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I actually often use Python
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just for math because it's often
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faster than finding the calculator and opening that up.
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For example, seven to the 13th power,
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you can find what seven star, star 13.
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You can do normal addition.
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Not what I meant to do there.
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You can do subtraction, and of course,
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you can store the result of these things in variables.
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Numbers in Python, pretty straightforward.
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You're going to use those all the time as I mentioned,
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they're often used for control values or
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to interpret menus or for other things.
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But that's all numbers are in Python.
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Now, in the next video,
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because we're going to run up against our time here,
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in the next video, we're going to discuss
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the next two Python datatypes,
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lists and dictionaries and those are
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two abstracted data types
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we're going to spend a little bit of time on.
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Thank you for watching. As always,
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I'm your instructor Joe Perry.
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I'm very happy to have you here in
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intro to Python on cybrary on demand.
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