1.0.1 Course Introduction - IP

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Time
2 hours 57 minutes
Difficulty
Beginner
CEU/CPE
3
Video Transcription
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>> Hello everyone and welcome to this Intro to
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Python course here on Cybrary On Demand.
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I'm your instructor, Joe Perry.
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I'm going to be taking you
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all the way through this course.
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We're going to be working together on it.
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I'm the Director of Research here at Cybrary.
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Just a little bit about me.
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I'm fortunate enough that I get to
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do this work all day everyday.
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I get to make videos like this,
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help people build their careers and
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learn new cybersecurity skills.
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My background, I was originally a developer.
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I've worked throughout the United States,
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federal government, throughout the DOD,
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the intelligence community, that sort of thing.
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I'm a vulnerability analyst, an exploit developer,
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a security researcher,
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basically anything in cybersecurity
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I've done at least a little bit of.
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You can also follow me on Twitter if you have
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any questions about this course or any questions
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about any of the material
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@JosephRPerryIV Crippling Securities is
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the handle that you can find me under.
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You can also find me on LinkedIn with that link.
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That will also be included as well as
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my contact information in
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the supplemental materials for this course.
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The prerequisites, what do you need to take this class?
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First, you need a computer.
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There are people who like to use tablets
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and phones to watch our videos.
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If you're going to participate in the labs
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of their programming labs.
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And it's just much easier to do those on
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either a laptop or a desktop computer.
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Some familiarity with the Linux
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command line is going to be useful,
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but it is not mandatory.
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I recommend it because I'm going to be
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using the Linux command line to basically do everything.
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My text editor is command line, all of that.
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So it's going to be easier for you to keep up with
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that material if you
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are familiar with the Linux command line.
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However, it is not mandatory.
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You will still be able to follow
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the program material without it.
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Additionally, familiarity with VMs
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is recommended but not mandatory.
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I'm going to be working in a VM.
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I'm going to be using the Ubuntu VM.
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I'll talk about that in just a minute.
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If you're going to work on your bare metal machine,
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if you want to work directly on your
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host operating system, totally okay.
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I prefer not to because I don't like to program
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on my host machine in case I break something.
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But for the material we're going to be covering in
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this course and the program we're going to be doing here,
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it is very unlikely that you're going to damage
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anything. What are we here to learn?
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What is the purpose of this intro to Python course?
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We're going to understand Boolean logic.
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We're going to apply that to
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the discipline of programming.
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You may not know what Boolean logic is and
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that's totally fine because
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that's what you're here to learn.
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You're going to understand the design
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of the Python programming language,
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the decisions that led to the language
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existing as it does today.
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You're going to learn to understand Python statements.
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You're going to learn to describe
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the different Python datatypes,
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and then you're going to combine those two things
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and you're going to use them to solve problems.
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You are going to use Python to solve real problems.
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We're going to have a bunch of
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code examples you're going to do.
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We'll talk about that in just a minute
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in our supplemental materials slide.
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But there's going to be a lot of
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actual application of Python
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in the later parts of this course.
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Additionally, and finally, you're going to
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identify some useful Python modules.
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We're not going to spend a ton of time
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on Python modules here.
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That's mostly the focus of the
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intermediate and the advanced courses.
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But we are going to spend some amount of time just to
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get you familiar with
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modules and understand what they are.
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Are you in the right place?
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Is this the class for you?
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Few questions to help you answer that.
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Are you new to programming?
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If yes, you're in the right place?
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Are you maybe not new to programming,
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but are new to Python?
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In which case, yes, you're on the right place again.
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Are you rusty on either of the above?
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I actually found when I was making this class and
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I was building the material that I was
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actually really rusty on some of
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the laws of logic and some of the original sort of
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computer science ideas
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that you learn when you're learning to
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program and building this course
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actually helped me brush up on a lot of this.
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Hopefully taking it will help you
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brush up on your skill as well.
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Finally, and most importantly,
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are you excited to learn a new skill?
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Are you passionate about it?
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That's really going to be key for all of this.
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That passion, that excitement,
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that drive is going to be what carries
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you not just on this class,
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not just on Cybrary,
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but throughout all of your career and
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your personal and your professional lives,
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excitement and passion are mandatory.
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If you said yes to those things that fantastic,
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you can keep watching the video and we can keep rolling.
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I'm happy to have you here.
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Some supplemental materials.
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I mentioned this a little bit ago.
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I'm going to be using an Ubuntu 64-bit VM.
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I'm going to be working with Vim PIP and terminator.
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Vim is a text editor.
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It's a command line text editor, very, very useful.
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Pip is a Python package controller
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basically an installment manager,
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and terminator is just a quality
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of live upgrade for
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the Ubuntu or for the Linux command line.
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It has windows and has
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tabs it just improves the use a little bit.
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We have some exercises.
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We have two labs provided by Next Tech.
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We have some lab assignments through
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that Next Tech is an absolutely spectacular company.
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We're very lucky to be partnering with them.
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If you're an insider Pro, you'll be
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able to access those labs,
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get some really, really fantastic
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hands-on experience with their guiding.
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They have a little robot that will help
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you learn to program.
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They have great tasks built
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into it that'll be very useful.
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Additionally, if you are not an Insider Pro,
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all of the lab assignments I will be
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releasing in PDF form so you can see
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what the assignments are and I will also
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release the solution code
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so that you can use that to
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compare against what you've done.
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We will also have some assessments.
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So after every lesson and most of
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the videos we'll have some periodic knowledge checks.
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Just a few questions to make sure you've got
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the high points and the key material of that video.
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The videos are generally going to be
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about 4-9 minutes long.
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So it's not too terribly hard to pay
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attention for 4-9 minutes and get that core material.
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After Module 1,
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we're going to have a midterm and that's going to be
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again provided by PDF for anybody who wants to take it.
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You're going to have access to that as well
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as an answer key so that you can make sure
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that you've got the material that you're
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looking for and you can just make sure that
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you've kept pace and you've
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learned what you needed to learn and if not,
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you'll know what you need to go back and study again.
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Finally, at the end of the course, we're going to do
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a final assessment which will be
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released in exactly the same way.
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It'll be part of the supplemental materials.
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That's going to be everything we cover in the course.
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A couple of coding assignments with some solution code,
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just everything you could want,
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everything you could need to make sure that you are
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exactly where you need to be at the end
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of this intro to Python course.
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What is the course layout? We've got two modules.
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The first module, you can see here
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s going to be eight lessons long.
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Seven of those lessons will be
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informative lessons and then the
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eighth will be a summary and review.
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We're going to start with programming basics.
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We've got a few different categories
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that we're going to talk about logic.
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We're going to talk about variables. We're going
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to talk about if and else statements,
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we're going to be talking about for loops, while loops.
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Then finally, near the end of the first module,
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we're going to actually dig into Python itself.
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You're going to learn the basic syntax of Python.
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You're going to learn how to make scripts
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and then you're going to learn about the Python datatype,
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strings, numbers, all that.
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We'll spend a lot of time on that as well as all of
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Module 2 is going to be spent
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taking all of the things and all the concepts
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that we learned here in Module 1,
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applying them to Python and really
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deep diving on all of those subjects.
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So you're going to get very familiar with all of
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that material as well as
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some other Python specific information.
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