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+TiffTechFemaleVoiceBlonde_0.wav|One of the things I wish I would have learned earlier throughout my career working in tech as a software developer and other roles as well is Python. Now, this is because Python is extremely versatile and I waited a little too long. I mean, it's never too late, but I do wish I would have learned it sooner. In today's video, I'm going to be sharing with you how I would learn Python if I was to do it all over again.|1
+TiffTechFemaleVoiceBlonde_1.wav|All roles really nowadays touch Python, or many do anyways, and if they don't directly, having an understanding of it is so crucial. All right, let's dive into it. Before we do, you know the drill. Hit that subscribe button and leave in the comments other videos you want to see. Oh, and shout out to some of these subscribers here. Thank you for your constant feedback, comments, questions, love.|1
+TiffTechFemaleVoiceBlonde_2.wav|I love you all so much. That's why I make these videos is in hopes to provide you some value and education on your journey and to make it feel like you're not so lumped because we are on it together. Okay, now that I did my ramble, let's really get into it. First up, let's take a step back and understand Python's history and the reasoning as to why it was created in the first place.|1
+TiffTechFemaleVoiceBlonde_3.wav|One is the rise of web development frameworks became more popular like Django, which was released in 2005. Another is because the increased adoption in scientific computing with libraries like NumPy and SciPy. So really around the mid early 2000s, we started to slowly see this increase in need around data science in particular, and with that came Python.|1
+TiffTechFemaleVoiceBlonde_4.wav|Python is a language that, if you are someone who's never programmed before, you can really pick it up pretty quickly, which is really nice. It's very readable. It's a fun language to play around with, which makes it easier to learn. Which really brings us to our next point, which is why is Python a great programming language? Why has it gained popularity? Well, we just listed one, which is around readability.|1
+TiffTechFemaleVoiceBlonde_5.wav|It's really easy to pick up and start building with. Another is it's versatile. I mean, even we just shared, it can be used in data science projects, machine learning projects, web development. I've built so many fun games using Pygame, different libraries or modules within Python, that the versatility of it really has expanded it to become one of the world's popular programming languages.|1
+TiffTechFemaleVoiceBlonde_6.wav|Okay, now that we have a bit of history and understanding as to where Python came from, why it is so popular, let's dive into how would you start learning it today. Well, first step is let's ensure it is installed on your computer. We'll do it two ways, one with a Mac, and then the next with a Windows machine. First up, I have a Mac, so let's do that first. So macOS typically comes with Python pre-installed, but it usually is an older version.|1
+TiffTechFemaleVoiceBlonde_7.wav|Now, if you have any troubles with installation for whatever reason, Python has so much great documentation on its site or different forums, so don't stress, pause this video and start doing your own research. The community around Python is massive and you won't have any trouble finding support. Okay, let's quickly cover Windows as well. Here are the steps listed for downloading it or installing it on a Windows computer.|1
+TiffTechFemaleVoiceBlonde_8.wav|Once again, it's very simple, very straightforward, and make sure though to verify installation, do the following command. Now the next step is you have to ensure you have a code editor installed. For this, I mean, I would just ensure you have VS Code installed. If you don't, go to VS Code's website. Once again, it's a very simple, straightforward process. I'm sure most of you watching this video do have it installed already, though.|1
+TiffTechFemaleVoiceBlonde_9.wav|All right, now let's get into the good stuff. Let's start with the basics. You already have it installed. That is a win in itself. What should you learn first? Well, as I mentioned, we need to start with the basics, the fundamentals. First, you have to do the classic print hello world. Here's what you type in, run it in VS Code, just simply right click, click run in terminal, Python in terminal, and it will run for you.|1
+TiffTechFemaleVoiceBlonde_10.wav|Super straightforward. Next though, let's go through some of the fundamentals past just printing out text on screen. Here are a few key core things, key core things. Here are a few core things you really need to understand. One is variables, which are essentially you can think of as containers for storing data values. The next is data types, which is categories of data like integers, floats, strings, Booleans.|1
+TiffTechFemaleVoiceBlonde_11.wav|Then we have control structures, which is tools for controlling the flow of your program, including if statements and loops. And we have functions, which are reusable blocks of code that perform specific tasks. Now, if you are someone who has programmed in the past, these shouldn't sound too strange to you. You should be familiar with most of these, just applying them to Python.|1
+TiffTechFemaleVoiceBlonde_12.wav|So let's use an example. Let's do a simple temperature converter. I mean, I'm in Canada here, so we are in Celsius. Oftentimes, I am speaking with Americans who are in Fahrenheit, and I always get it confused. So here's a simple project that you can input into your file, so if you have VS Code open, create a new file, let's call it main.py and type in the following.|1
+TiffTechFemaleVoiceBlonde_13.wav|Now this code here, simply to run it, right click again, run in terminal, and you will see that it printed out. Pretty cool. Next thing we really need to dive into is data structures. Now, data structures are really important because they are a way of organizing and storing data. I mean, data is the heartbeat of, well, building many different projects. It's extremely important to really have a good understanding of this.|1
+TiffTechFemaleVoiceBlonde_14.wav|Also, it's important to note Python has a few built-in data structures. Okay, the first one is lists, which are ordered mutable collections of items, just like a typical list. Then we have dictionaries, which are key value pairs for a fast lookup. And we have sets, which are unordered collections of unique items. Now, as I mentioned, understanding these are really important as they form the backbone of how we work with data in Python.|1
+TiffTechFemaleVoiceBlonde_15.wav|So let's go through, let's test out a real world example or build something with this. Type in this code now, clear your previous code, type in this code and let's run it. This is a simple to do app. I mean, we're not even 10 minutes into this video and you've already created two different Python scripts and ran them. That's pretty impressive if you ask me. Next up, it's important to know that Python is an OOP or object oriented programming language.|1
+TiffTechFemaleVoiceBlonde_16.wav|I'm trying to think of a way of explaining it that's not using the word containers or whatnot, but just objects, especially if you're familiar with other programming languages. Now, the key ideas in OOP are the following. One is classes, which are blueprints for creating objects. Another is objects, which you can think of are instances of these classes. Then we have inheritance, which is a mechanism for code reuse, so your code might inherit|1
+TiffTechFemaleVoiceBlonde_17.wav|you know, data from another piece of code. Then we have polymorphism, which is the ability of objects to take on multiple forms. Now, stay with me here. I know it might sound very wishy-washy just hearing these terms, but it's important to start familiarizing yourself with these terms as step one. As you start building with them, you'll really have these aha moments where it clicks for you and you're like, oh yeah, okay, I get what she's talking about now.|1
+TiffTechFemaleVoiceBlonde_18.wav|Which brings me to, here's a great example, pause this video. We are going to make a quick, simple bank account system that really demonstrates or hones in on a lot of these concepts. So pause the video here, follow this code here, and this will really cover a lot of the really basics when it comes to object-oriented programming. And then once again, Run the code. In your VS Code, right click, run in terminal.|1
+TiffTechFemaleVoiceBlonde_19.wav|Which really brings me to step number five, which is work on projects. You need to build real world projects. Now there are so many resources or places to start taking tutorials. I would honestly, this is how I would do it all over again. I would do exactly what we just went through, start by running the code that I shared with you to get like familiarized with it, then take a tutorial.|1
+TiffTechFemaleVoiceBlonde_20.wav|Now, there are a few places where I really enjoy taking tutorials. I went down way too many rabbit holes, took way too many tutorials. Don't do that. Focus on a few, and here are a few really good ones. One is Codecademy. I love Codecademy. They have great resources. Another one is RealPython. I still use RealPython today if I'm looking up something or want to build a very specific project.|1
+TiffTechFemaleVoiceBlonde_21.wav|The other one is PyBytes. Now, I haven't been on PyBytes for a while. Let me go on it. I think it's free still. I think it's still free, but don't quote me on that. You have to check it out. But I know, for example, Code Canobie, they have a lot of great free resources for Python. Also too, Free Code Camp is still an amazing resource for really learning any programming language, including Python.|1
+TiffTechFemaleVoiceBlonde_22.wav|Next up, once you have taken some tutorials, gotten really comfortable with that, spend quite a bit of time really understanding those basics and fundamentals, then it is time to move on to learn a framework. Now, bear with me here, or stay with me here, because this is really key. There are a ton of different frameworks you can learn. The real challenge comes down to narrowing in on one that you really believe in or want to stick with.|1
+TiffTechFemaleVoiceBlonde_23.wav|And you really need to, I'll put up on screen here, three really popular ones. One being Django, which is more high-level web framework that encourages you to build quickly and clean. The other, of course, is Pandas, which is more around the data analysis side of things. And the last one is Flask, which is a lightweight framework. So it really depends, do your research, take a step back and think,|1
+TiffTechFemaleVoiceBlonde_24.wav|Why are you learning Python? Because that will really depict what framework you learn. Up until this point, regardless of why you're learning Python, learn all these steps. But when it comes to a framework, make sure you have an understanding as to what the first Anyways particular use case you want to use Python for is. Lastly, and honestly, this is the easiest one, but it's something that so many people don't do, which is join a community.|1
+TiffTechFemaleVoiceBlonde_25.wav|Join an online community of Python developers, people who are learning Python. It is essential, essential, essential, whatever. I'm so passionate about it, that's why I'm doing the essential to join a community because that is the only way, in my opinion, you will stick with learning. It is so important to have others around you, even virtually, so you can share your wins, share your challenges together.|1
+TiffTechFemaleVoiceBlonde_26.wav|Now, here are a few communities that are really great to join. I think it's just a great way to get part of a community, meet new people. Who knows? Maybe you'll find a new job throughout these communities. All right, that was good. I feel like we covered a lot in a very short amount of time. I hope you enjoyed this video and make sure to give this a thumbs up if you learned something new through it.|1
+TiffTechFemaleVoiceBlonde_27.wav|Leave in the comments what we should learn together next or do with this Learn With Me series. Python is one of the best things I have ever learned, honestly, because Although I never used it in my software development career, I use it all the time now to tinker and build with different projects, especially as I'm taking my AI and machine learning post-grad course. Knowing Python and going into that course with it was extremely helpful, so I can't recommend it enough.|1

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+TiffTechFemaleVoiceBlonde_0.wav|wˈʌn ʌvðə θˈɪŋz aɪ wˈɪʃ aɪ wʊdhɐv lˈɜːnd ˈɜːlɪɚ θɹuːˈaʊt maɪ kɚɹˈɪɹ wˈɜːkɪŋ ɪn tˈɛk æz ɐ sˈɔftwɛɹ dɪvˈɛləpɚ ænd ˈʌðɚ ɹˈoʊlz æz wˈɛl ɪz pˈaɪθən. nˈaʊ, ðɪs ɪz bɪkˈʌz pˈaɪθən ɪz ɛkstɹˈiːmli vˈɜːsətˌaɪl ænd aɪ wˈeɪɾᵻd ɐ lˈɪɾəl tˈuː lˈɔŋ. aɪ mˈiːn, ɪts nˈɛvɚ tˈuː lˈeɪt, bˌʌt aɪ dˈuː wˈɪʃ aɪ wʊdhɐv lˈɜːnd ɪt sˈuːnɚ. ɪn tədˈeɪz vˈɪdɪoʊ, aɪm ɡˌoʊɪŋ təbi ʃˈɛɹɪŋ wɪð juː hˌaʊ aɪ wʊd lˈɜːn pˈaɪθən ɪf aɪ wʌz tə dˈuː ɪɾ ˈɔːl ˌoʊvɚɹ ɐɡˈɛn. |1
+TiffTechFemaleVoiceBlonde_1.wav|ˈɔːl ɹˈoʊlz ɹˈiəli nˈaʊədˌeɪz tˈʌtʃ pˈaɪθən, ɔːɹ mˈɛni dˈuː ˈɛnɪwˌeɪz, ænd ɪf ðeɪ dˈoʊnt dᵻɹˈɛktli, hˌævɪŋ ɐn ˌʌndɚstˈændɪŋ ʌv ɪɾ ɪz sˌoʊ kɹˈuːʃəl. ˈɔːl ɹˈaɪt, lˈɛts dˈaɪv ˌɪntʊ ɪt. bᵻfˌoːɹ wiː dˈuː, juː nˈoʊ ðə dɹˈɪl. hˈɪt ðæt səbskɹˈaɪb bˈʌʔn̩ ænd lˈiːv ɪnðə kˈɑːmɛnts ˈʌðɚ vˈɪdɪoʊz juː wˈɔnt tə sˈiː. ˈoʊ, ænd ʃˈaʊt ˈaʊt tə sˌʌm ʌv ðiːz səbskɹˈaɪbɚz hˈɪɹ. θˈæŋk juː fɔːɹ jʊɹ kˈɑːnstənt fˈiːdbæk, kˈɑːmɛnts, kwˈɛstʃənz, lˈʌv. |1
+TiffTechFemaleVoiceBlonde_2.wav|aɪ lˈʌv juː ˈɔːl sˈoʊ mˌʌtʃ. ðæts wˌaɪ aɪ mˌeɪk ðiːz vˈɪdɪoʊz ɪz ɪn hˈoʊps tə pɹəvˈaɪd juː sˌʌm vˈæljuː ænd ˌɛdʒuːkˈeɪʃən ˌɔn jʊɹ dʒˈɜːni ænd tə mˌeɪk ɪt fˈiːl lˈaɪk jʊɹ nˌɑːt sˌoʊ lˈʌmpt bɪkˈʌz wiː ɑːɹ ˌɔn ɪt təɡˈɛðɚ. oʊkˈeɪ, nˈaʊ ðæt aɪ dˈɪd maɪ ɹˈæmbəl, lˈɛts ɹˈiəli ɡˈɛt ˌɪntʊ ɪt. fˈɜːst ˈʌp, lˈɛts tˈeɪk ɐ stˈɛp bˈæk ænd ˌʌndɚstˈænd pˈaɪθənz hˈɪstɚɹi ænd ðə ɹˈiːzənɪŋ æz tə wˌaɪ ɪt wʌz kɹiːˈeɪɾᵻd ɪnðə fˈɜːst plˈeɪs. |1
+TiffTechFemaleVoiceBlonde_3.wav|wˈʌn ɪz ðə ɹˈaɪz ʌv wˈɛb dɪvˈɛləpmənt fɹˈeɪmwɜːks bɪkˌeɪm mˈoːɹ pˈɑːpjʊlɚ lˈaɪk dʒˈæŋɡoʊ, wˌɪtʃ wʌz ɹᵻlˈiːst ɪn tˈuː θˈaʊzənd fˈaɪv. ɐnˈʌðɚɹ ɪz bɪkˈʌz ðɪ ɪŋkɹˈiːst ɐdˈɑːpʃən ɪn saɪəntˈɪfɪk kəmpjˈuːɾɪŋ wɪð lˈaɪbɹɛɹiz lˈaɪk nˈʌm pˈaɪ ænd sˈaɪ pˈaɪ. sˌoʊ ɹˈiəli ɚɹˈaʊnd ðə mˈɪd ˈɜːli tˈuː θˈaʊzənd z, wiː stˈɑːɹɾᵻd tə slˈoʊli sˈiː ðɪs ˈɪŋkɹiːs ɪn nˈiːd ɚɹˈaʊnd dˈeɪɾə sˈaɪəns ɪn pɚtˈɪkjʊlɚ, ænd wɪð ðæt kˈeɪm pˈaɪθən. |1
+TiffTechFemaleVoiceBlonde_4.wav|pˈaɪθən ɪz ɐ lˈæŋɡwɪdʒ ðˈæt, ɪf juː ɑːɹ sˈʌmwʌn hˌuːz nˈɛvɚ pɹˈoʊɡɹæmd bᵻfˈoːɹ, juː kæn ɹˈiəli pˈɪk ɪɾ ˌʌp pɹˈɪɾi kwˈɪkli, wˌɪtʃ ɪz ɹˈiəli nˈaɪs. ɪts vˈɛɹi ɹˈiːdəbəl. ɪts ɐ fˈʌn lˈæŋɡwɪdʒ tə plˈeɪ ɚɹˈaʊnd wɪð, wˌɪtʃ mˌeɪks ɪɾ ˈiːziɚ tə lˈɜːn. wˌɪtʃ ɹˈiəli bɹˈɪŋz ˌʌs tʊ ˌaʊɚ nˈɛkst pˈɔɪnt, wˌɪtʃ ɪz wˌaɪ ɪz pˈaɪθən ɐ ɡɹˈeɪt pɹˈoʊɡɹæmɪŋ lˈæŋɡwɪdʒ? wˌaɪ hɐz ɪt ɡˈeɪnd pˌɑːpjʊlˈæɹᵻɾi? wˈɛl, wiː dʒˈʌst lˈɪstᵻd wˌʌn, wˌɪtʃ ɪz ɚɹˈaʊnd ɹˌiːdəbˈɪlᵻɾi. |1
+TiffTechFemaleVoiceBlonde_5.wav|ɪts ɹˈiəli ˈiːzi tə pˈɪk ˌʌp ænd stˈɑːɹt bˈɪldɪŋ wɪð. ɐnˈʌðɚɹ ɪz ɪts vˈɜːsətˌaɪl. aɪ mˈiːn, ˈiːvən wiː dʒˈʌst ʃˈɛɹd, ɪt kæn biː jˈuːzd ɪn dˈeɪɾə sˈaɪəns pɹˈɑːdʒɛkts, məʃˈiːn lˈɜːnɪŋ pɹˈɑːdʒɛkts, wˈɛb dɪvˈɛləpmənt. aɪv bˈɪlt sˌoʊ mˈɛni fˈʌn ɡˈeɪmz jˈuːzɪŋ pˈaɪɡeɪm, dˈɪfɹənt lˈaɪbɹɛɹiz ɔːɹ mˈɑːdʒuːlz wɪðˌɪn pˈaɪθən, ðætðə vˌɜːsətˈɪlᵻɾi ʌv ɪt ɹˈiəli hɐz ɛkspˈændᵻd ɪt tə bɪkˌʌm wˈʌn ʌvðə wˈɜːldz pˈɑːpjʊlɚ pɹˈoʊɡɹæmɪŋ lˈæŋɡwɪdʒᵻz. |1
+TiffTechFemaleVoiceBlonde_6.wav|oʊkˈeɪ, nˈaʊ ðæt wiː hæv ɐ bˈɪt ʌv hˈɪstɚɹi ænd ˌʌndɚstˈændɪŋ æz tʊ wˌɛɹ pˈaɪθən kˈeɪm fɹʌm, wˌaɪ ɪɾ ɪz sˌoʊ pˈɑːpjʊlɚ, lˈɛts dˈaɪv ˌɪntʊ hˌaʊ wʊd juː stˈɑːɹt lˈɜːnɪŋ ɪt tədˈeɪ. wˈɛl, fˈɜːst stˈɛp ɪz lˈɛts ɛnʃˈʊɹ ɪɾ ɪz ɪnstˈɔːld ˌɔn jʊɹ kəmpjˈuːɾɚ. wiːl dˈuː ɪt tˈuː wˈeɪz, wˈʌn wɪð ɐ mˈæk, ænd ðˈɛn ðə nˈɛkst wɪð ɐ wˈɪndoʊz məʃˈiːn. fˈɜːst ˈʌp, aɪ hæv ɐ mˈæk, sˌoʊ lˈɛts dˈuː ðæt fˈɜːst. sˌoʊ mˈæk ˌoʊˈɛs tˈɪpɪkli kˈʌmz wɪð pˈaɪθən pɹˈiːɪnstˈɔːld, bˌʌt ɪt jˈuːʒuːəli ɪz ɐn ˈoʊldɚ vˈɜːʒən. |1
+TiffTechFemaleVoiceBlonde_7.wav|nˈaʊ, ɪf juː hæv ˌɛni tɹˈʌbəlz wɪð ˌɪnstəlˈeɪʃən fɔːɹ wʌtˈɛvɚ ɹˈiːzən, pˈaɪθən hɐz sˈoʊ mˌʌtʃ ɡɹˈeɪt dˌɑːkjuːməntˈeɪʃən ˌɔn ɪts sˈaɪt ɔːɹ dˈɪfɹənt fˈoːɹəmz, sˌoʊ dˈoʊnt stɹˈɛs, pˈɔːz ðɪs vˈɪdɪoʊ ænd stˈɑːɹt dˌuːɪŋ jʊɹ ˈoʊn ɹᵻsˈɜːtʃ. ðə kəmjˈuːnᵻɾi ɚɹˈaʊnd pˈaɪθən ɪz mˈæsɪv ænd juː wˌoʊntɐv ��ɛni tɹˈʌbəl fˈaɪndɪŋ səpˈoːɹt. oʊkˈeɪ, lˈɛts kwˈɪkli kˈʌvɚ wˈɪndoʊz æz wˈɛl. hˈɪɹ ɑːɹ ðə stˈɛps lˈɪstᵻd fɔːɹ dˈaʊnloʊdɪŋ ɪt ɔːɹ ɪnstˈɔːlɪŋ ɪɾ ˌɔn ɐ wˈɪndoʊz kəmpjˈuːɾɚ. |1
+TiffTechFemaleVoiceBlonde_8.wav|wˈʌns ɐɡˈɛn, ɪts vˈɛɹi sˈɪmpəl, vˈɛɹi stɹeɪtfˈɔːɹwɚd, ænd mˌeɪk ʃˈʊɹ ðˌoʊ tə vˈɛɹᵻfˌaɪ ˌɪnstəlˈeɪʃən, dˈuː ðə fˈɑːloʊɪŋ kəmˈænd. nˈaʊ ðə nˈɛkst stˈɛp ɪz juː hæv tʊ ɛnʃˈʊɹ juː hæv ɐ kˈoʊd ˈɛdɪɾɚɹ ɪnstˈɔːld. fɔːɹ ðˈɪs, aɪ mˈiːn, aɪ wʊd dʒˈʌst ɛnʃˈʊɹ juː hæv vˌiːˈɛs kˈoʊd ɪnstˈɔːld. ɪf juː dˈoʊnt, ɡˌoʊ tə vˌiːˈɛs kˈoʊdz wˈɛbsaɪt. wˈʌns ɐɡˈɛn, ɪts ɐ vˈɛɹi sˈɪmpəl, stɹeɪtfˈɔːɹwɚd pɹˈɑːsɛs. aɪm ʃˈʊɹ mˈoʊst əv juː wˈɑːtʃɪŋ ðɪs vˈɪdɪoʊ dˈuː hæv ɪɾ ɪnstˈɔːld ɔːlɹˈɛdi, ðˌoʊ. |1
+TiffTechFemaleVoiceBlonde_9.wav|ˈɔːl ɹˈaɪt, nˈaʊ lˈɛts ɡɛt ˌɪntʊ ðə ɡˈʊd stˈʌf. lˈɛts stˈɑːɹt wɪððə bˈeɪsɪks. juː ɔːlɹˌɛdi hæv ɪɾ ɪnstˈɔːld. ðæt ɪz ɐ wˈɪn ɪn ɪtsˈɛlf. wˌʌt ʃˌʊd juː lˈɜːn fˈɜːst? wˈɛl, æz aɪ mˈɛnʃənd, wiː nˈiːd tə stˈɑːɹt wɪððə bˈeɪsɪks, ðə fˌʌndəmˈɛntəlz. fˈɜːst, juː hæv tə dˈuː ðə klˈæsɪk pɹˈɪnt həlˈoʊ wˈɜːld. hˈɪɹz wʌt juː tˈaɪp ˈɪn, ɹˈʌn ɪɾ ɪn vˌiːˈɛs kˈoʊd, dʒˈʌst sˈɪmpli ɹˈaɪt klˈɪk, klˈɪk ɹˈʌn ɪn tˈɜːmɪnəl, pˈaɪθən ɪn tˈɜːmɪnəl, ænd ɪt wɪl ɹˈʌn fɔːɹ juː. |1
+TiffTechFemaleVoiceBlonde_10.wav|sˈuːpɚ stɹeɪtfˈɔːɹwɚd. nˈɛkst ðˌoʊ, lˈɛts ɡˌoʊ θɹuː sˌʌm ʌvðə fˌʌndəmˈɛntəlz pˈæst dʒˈʌst pɹˈɪntɪŋ ˈaʊt tˈɛkst ˌɔn skɹˈiːn. hˈɪɹ ɑːɹ ɐ fjˈuː kˈiː kˈoːɹ θˈɪŋz, kˈiː kˈoːɹ θˈɪŋz. hˈɪɹ ɑːɹ ɐ fjˈuː kˈoːɹ θˈɪŋz juː ɹˈiəli nˈiːd tʊ ˌʌndɚstˈænd. wˈʌn ɪz vˈɛɹɪəbəlz, wˌɪtʃ ɑːɹ ᵻsˈɛnʃəli juː kæn θˈɪŋk ʌv æz kəntˈeɪnɚz fɔːɹ stˈoːɹɪŋ dˈeɪɾə vˈæljuːz. ðə nˈɛkst ɪz dˈeɪɾə tˈaɪps, wˌɪtʃ ɪz kˈæɾɪɡɚɹiz ʌv dˈeɪɾə lˈaɪk ˈɪntɪdʒɚz, flˈoʊts, stɹˈɪŋz, bˈuːliənz. |1
+TiffTechFemaleVoiceBlonde_11.wav|ðˈɛn wiː hæv kəntɹˈoʊl stɹˈʌktʃɚz, wˌɪtʃ ɪz tˈuːlz fɔːɹ kəntɹˈoʊlɪŋ ðə flˈoʊ ʌv jʊɹ pɹˈoʊɡɹæm, ɪŋklˈuːdɪŋ ɪf stˈeɪtmənts ænd lˈuːps. ænd wiː hæv fˈʌŋkʃənz, wˌɪtʃ ɑːɹ ɹiːjˈuːzəbəl blˈɑːks ʌv kˈoʊd ðæt pɚfˈɔːɹm spəsˈɪfɪk tˈæsks. nˈaʊ, ɪf juː ɑːɹ sˈʌmwʌn hˌuː hɐz pɹˈoʊɡɹæmd ɪnðə pˈæst, ðiːz ʃˌʊdənt sˈaʊnd tˈuː stɹˈeɪndʒ tə juː. juː ʃˌʊd biː fəmˈɪlɪɹ wɪð mˈoʊst əv ðˈiːz, dʒˈʌst ɐplˈaɪɪŋ ðˌɛm tə pˈaɪθən. |1
+TiffTechFemaleVoiceBlonde_12.wav|sˌoʊ lˈɛts jˈuːs ɐn ɛɡzˈæmpəl. lˈɛts dˈuː ɐ sˈɪmpəl tˈɛmpɹɪtʃɚ kənvˈɜːɾɚ. aɪ mˈiːn, aɪm ɪn kˈænədə hˈɪɹ, sˌoʊ wiː ɑːɹ ɪn sˈɛlsɪəs. ˈɔfəntˌaɪmz, aɪɐm spˈiːkɪŋ wɪð ɐmˈɛɹɪkənz hˌuː ɑːɹ ɪn fˈæɹənhˌaɪt, ænd aɪ ˈɔːlweɪz ɡɛt ɪt kənfjˈuːzd. sˌoʊ hˈɪɹz ɐ sˈɪmpəl pɹˈɑːdʒɛkt ðæt juː kæn ˈɪnpʊt ˌɪntʊ jʊɹ fˈaɪl, sˌoʊ ɪf juː hæv vˌiːˈɛs kˈoʊd ˈoʊpən, kɹiːˈeɪt ɐ nˈuː fˈaɪl, lˈɛts kˈɔːl ɪt mˈeɪn.pˈaɪ ænd tˈaɪp ɪnðə fˈɑːloʊɪŋ. |1
+TiffTechFemaleVoiceBlonde_13.wav|nˈaʊ ðɪs kˈoʊd hˈɪɹ, sˈɪmpli tə ɹˈʌn ɪt, ɹˈaɪt klˈɪk ɐɡˈɛn, ɹˈʌn ɪn tˈɜːmɪnəl, ænd juː wɪl sˈiː ðˌɐɾɪt pɹˈɪntᵻd ˈaʊt. pɹˈɪɾi kˈuːl. nˈɛkst θˈɪŋ wiː ɹˈiəli nˈiːd tə dˈaɪv ˌɪntʊ ɪz dˈeɪɾə stɹˈʌktʃɚz. nˈaʊ, dˈeɪɾə stɹˈʌktʃɚz ɑːɹ ɹˈiəli ɪmpˈoːɹtənt bɪkˈʌz ðeɪ ɑːɹ ɐ wˈeɪ ʌv ˈɔːɹɡənˌaɪzɪŋ ænd stˈoːɹɪŋ dˈeɪɾə. aɪ mˈiːn, dˈeɪɾə ɪz ðə hˈɑːɹtbiːt ʌv, wˈɛl, bˈɪldɪŋ mˈɛni dˈɪfɹənt pɹˈɑːdʒɛkts. ɪts ɛkstɹˈiːmli ɪmpˈoːɹtənt tə ɹˈiəli hæv ɐ ɡˈʊd ˌʌndɚstˈændɪŋ ʌv ðˈɪs. |1
+TiffTechFemaleVoiceBlonde_14.wav|ˈɔːlsoʊ, ɪts ɪmpˈoːɹtənt tə nˈoʊt pˈaɪθən hɐz ɐ fjˈuː bˈɪltɪn dˈeɪɾə stɹˈʌktʃɚz. oʊkˈeɪ, ðə fˈɜːst wˈʌn ɪz lˈɪsts, wˌɪtʃ ɑːɹ ˈɔːɹdɚd mjˈuːɾəbəl kəlˈɛkʃənz ʌv ˈaɪɾəmz, dʒˈʌst lˈaɪk ɐ tˈɪpɪkəl lˈɪst. ðˈɛn wiː hæv dˈɪkʃənˌɛɹiz, wˌɪtʃ ɑːɹ kˈiː vˈæljuː pˈɛɹz fɚɹə fˈæst lˈʊkʌp. ænd wiː hæv sˈɛts, wˌɪtʃ ɑːɹ ʌnˈɔːɹdɚd kəlˈɛkʃənz ʌv juːnˈiːk ˈaɪɾəmz. nˈaʊ, æz aɪ mˈɛnʃənd, ˌʌndɚstˈændɪŋ ðiːz ɑːɹ ɹˈiəli ɪmpˈoːɹtənt æz ðeɪ fˈɔːɹm ðə bˈækboʊn ʌv hˌaʊ wiː wˈɜːk wɪð dˈeɪɾə ɪn pˈaɪθən. |1
+TiffTechFemaleVoiceBlonde_15.wav|sˌoʊ lˈɛts ɡˌoʊ θɹˈuː, lˈɛts tˈɛst ˈaʊt ɐ ɹˈiːəl wˈɜːld ɛɡzˈæmpəl ɔːɹ bˈɪld sˈʌmθɪŋ wɪð ðˈɪs. tˈaɪp ɪn ðɪs kˈoʊd nˈaʊ, klˈɪɹ jʊɹ pɹˈiːviəs kˈoʊd, tˈaɪp ɪn ðɪs kˈoʊd ænd lˈɛts ɹˈʌn ɪt. ðɪs ɪz ɐ sˈɪmpəl tə dˈuː ˈæp. aɪ mˈiːn, wɪɹ nˌɑːt ˈiːvən tˈɛn mˈɪnɪts ˌɪntʊ ðɪs vˈɪdɪoʊ ænd juːv ɔːlɹˌɛdi kɹiːˈeɪɾᵻd tˈuː dˈɪfɹənt pˈaɪθən skɹˈɪpts ænd ɹˈæn ðˌɛm. ðæts pɹˈɪɾi ɪmpɹˈɛsɪv ɪf juː ˈæsk mˌiː. nˈɛkst ˈʌp, ɪts ɪmpˈoːɹtənt tə nˈoʊ ðæt pˈaɪθən ɪz ɐn ˌoʊˌoʊpˈiː ɔːɹ ˈɑːbdʒɛkt ˈoːɹiəntᵻd pɹˈoʊɡɹæmɪŋ lˈæŋɡwɪdʒ. |1
+TiffTechFemaleVoiceBlonde_16.wav|aɪm tɹˈaɪɪŋ tə θˈɪŋk əvə wˈeɪ ʌv ɛksplˈeɪnɪŋ ɪt ðæts nˌɑːt jˈuːzɪŋ ðə wˈɜːd kəntˈeɪnɚz ɔːɹ wˈʌtnɑːt, bˌʌt dʒˈʌst ɑːbdʒˈɛkts, ɪspˈɛʃəli ɪf jʊɹ fəmˈɪlɪɹ wɪð ˈʌðɚ pɹˈoʊɡɹæmɪŋ lˈæŋɡwɪdʒᵻz. nˈaʊ, ðə kˈiː aɪdˈiəz ɪn ˌoʊˌoʊpˈiː ɑːɹ ðə fˈɑːloʊɪŋ. wˈʌn ɪz klˈæsᵻz, wˌɪtʃ ɑːɹ blˈuːpɹɪnts fɔːɹ kɹiːˈeɪɾɪŋ ˈɑːbdʒɛkts. ɐnˈʌðɚɹ ɪz ˈɑːbdʒɛkts, wˌɪtʃ juː kæn θˈɪŋk ʌv ɑːɹ ˈɪnstənsᵻz ʌv ðiːz klˈæsᵻz. ðˈɛn wiː hæv ɪnhˈɛɹɪtəns, wˌɪtʃ ɪz ɐ mˈɛkənˌɪzəm fɔːɹ kˈoʊd ɹiːjˈuːz, sˌoʊ jʊɹ kˈoʊd mˌaɪt ɪnhˈɛɹɪt |1
+TiffTechFemaleVoiceBlonde_17.wav|juː nˈoʊ, dˈeɪɾə fɹʌm ɐnˈʌðɚ pˈiːs ʌv kˈoʊd. ðˈɛn wiː hæv pˈɑːlɪmˌoːɹfɪzəm, wˌɪtʃ ɪz ðɪ ɐbˈɪləɾi ʌv ˈɑːbdʒɛkts tə tˈeɪk ˌɔn mˌʌltɪpəl fˈɔːɹmz. nˈaʊ, stˈeɪ wɪð mˌiː hˈɪɹ. aɪ nˈoʊ ɪt mˌaɪt sˈaʊnd vˈɛɹi wˈɪʃiwˈɑːʃi dʒˈʌst hˈɪɹɪŋ ðiːz tˈɜːmz, bˌʌt ɪts ɪmpˈoːɹtənt tə stˈɑːɹt fəmˈɪlɪɹˌaɪzɪŋ joːɹsˈɛlf wɪð ðiːz tˈɜːmz æz stˈɛp wˌʌn. æz juː stˈɑːɹt bˈɪldɪŋ wɪð ðˌɛm, juːl ɹˈiəli hæv ðiːz ɑːhˈɑː mˈoʊmənts wˌɛɹ ɪt klˈɪks fɔːɹ juː ænd jʊɹ lˈaɪk, ˈoʊ jˈɛh, oʊkˈeɪ, aɪ ɡɛt wʌt ʃiːz tˈɔːkɪŋ ɐbˌaʊt nˈaʊ. |1
+TiffTechFemaleVoiceBlonde_18.wav|wˌɪtʃ bɹˈɪŋz mˌiː tuː, hˈɪɹz ɐ ɡɹˈeɪt ɛɡzˈæmpəl, pˈɔːz ðɪs vˈɪdɪoʊ. wiː ɑːɹ ɡˌoʊɪŋ tə mˌeɪk ɐ kwˈɪk, sˈɪmpəl bˈæŋk ɐkˈaʊnt sˈɪstəm ðæt ɹˈiəli dˈɛmənstɹˌeɪts ɔːɹ hˈoʊnz ɪn ˌɔn ɐ lˈɑːt ʌv ðiːz kˈɑːnsɛpts. sˌoʊ pˈɔːz ðə vˈɪdɪoʊ hˈɪɹ, fˈɑːloʊ ðɪs kˈoʊd hˈɪɹ, ænd ðɪs wɪl ɹˈiəli kˈʌvɚɹ ɐ lˈɑːt ʌvðə ɹˈiəli bˈeɪsɪks wɛn ɪt kˈʌmz tʊ ɑːbdʒˈɛktˈoːɹiəntᵻd pɹˈoʊɡɹæmɪŋ. ænd ðˈɛn wˈʌns ɐɡˈɛn, ɹˈʌn ðə kˈoʊd. ɪn jʊɹ vˌiːˈɛs kˈoʊd, ɹˈaɪt klˈɪk, ɹˈʌn ɪn tˈɜːmɪnəl. |1
+TiffTechFemaleVoiceBlonde_19.wav|wˌɪtʃ ɹˈiəli bɹˈɪŋz mˌiː tə stˈɛp nˈʌmbɚ fˈaɪv, wˌɪtʃ ɪz wˈɜːk ˌɔn pɹˈɑːdʒɛkts. juː nˈiːd tə bˈɪld ɹˈiːəl wˈɜːld pɹˈɑːdʒɛkts. nˈaʊ ðɛɹˌɑːɹ sˌoʊ mˈɛni ɹᵻsˈoːɹsᵻz ɔːɹ plˈeɪsᵻz tə stˈɑːɹt tˈeɪkɪŋ tuːtˈoːɹɪəlz. aɪ wʊd ˈɑːnɪstli, ðɪs ɪz hˌaʊ aɪ wʊd dˈuː ɪɾ ˈɔːl ˌoʊvɚɹ ɐɡˈɛn. aɪ wʊd dˈuː ɛɡzˈæktli wʌt wiː dʒˈʌst wɛnt θɹˈuː, stˈɑːɹt baɪ ɹˈʌnɪŋ ðə kˈoʊd ðæt aɪ ʃˈɛɹd wɪð juː tə ɡɛt lˈaɪk fəmˈɪlɪɹˌaɪzd wɪð ɪt, ðˈɛn tˈeɪk ɐ tuːtˈoːɹɪəl. |1
+TiffTechFemaleVoiceBlonde_20.wav|nˈaʊ, ðɛɹˌɑːɹ ɐ fjˈuː plˈeɪsᵻz wˌɛɹ aɪ ɹˈiəli ɛndʒˈɔɪ tˈeɪkɪŋ tuːtˈoːɹɪəlz. aɪ wɛnt dˌaʊn wˈeɪ tˈuː mɛni ɹˈæbɪt hˈoʊlz, tˈʊk wˈeɪ tˈuː mɛni tuːtˈoːɹɪəlz. dˈoʊnt dˈuː ðˈæt. fˈoʊkəs ˌɔn ɐ fjˈuː, ænd hˈɪɹ ɑːɹ ɐ fjˈuː ɹˈiəli ɡˈʊd wˌʌnz. wˈʌn ɪz kˈoʊdkeɪdmi. aɪ lˈʌv kˈoʊdkeɪdmi. ðeɪ hæv ɡɹˈeɪt ɹᵻsˈoːɹsᵻz. ɐnˈʌðɚ wˈʌn ɪz ɹˈiːəl pˈaɪθən. aɪ stˈɪl jˈuːz ɹˈiːəl pˈaɪθən tədˈeɪ ɪf aɪm lˈʊkɪŋ ˌʌp sˈʌmθɪŋ ɔːɹ wˈɔnt tə bˈɪld ɐ vˈɛɹi spəsˈɪfɪk pɹˈɑːdʒɛkt. |1
+TiffTechFemaleVoiceBlonde_21.wav|ðɪ ˈʌðɚ wˈʌn ɪz pˈaɪ bˈaɪts. nˈaʊ, aɪ hˈævənt bˌɪn ˌɔn pˈaɪ bˈaɪts fɚɹə wˈaɪl. lˈɛt mˌiː ɡˌoʊ ˈɔn ɪt. aɪ θˈɪŋk ɪts fɹˈiː stˈɪl. aɪ θˈɪŋk ɪts stˈɪl fɹˈiː, bˌʌt dˈoʊnt kwˈoʊt mˌiː ˌɔn ðˈæt. juː hæv tə tʃˈɛk ɪɾ ˈaʊt. bˌʌt aɪ nˈoʊ, fɔːɹ ɛɡzˈæmpəl, kˈoʊd kˈænoʊbi, ðeɪ hæv ɐ lˈɑːt ʌv ɡɹˈeɪt fɹˈiː ɹᵻsˈoːɹsᵻz fɔːɹ pˈaɪθən. ˈɔːlsoʊ tˈuː, fɹˈiː kˈoʊd kˈæmp ɪz stˈɪl ɐn ɐmˈeɪzɪŋ ɹᵻsˈoːɹs fɔːɹ ɹˈiəli lˈɜːnɪŋ ˌɛni pɹˈoʊɡɹæmɪŋ lˈæŋɡwɪdʒ, ɪŋklˈuːdɪŋ pˈaɪθən. |1
+TiffTechFemaleVoiceBlonde_22.wav|nˈɛkst ˈʌp, wˈʌns juː hæv tˈeɪkən sˌʌm tuːtˈoːɹɪəlz, ɡˈɑːʔn̩ ɹˈiəli kˈʌmftəbəl wɪð ðˈæt, spˈɛnd kwˈaɪt ɐ bˈɪt ʌv tˈaɪm ɹˈiəli ˌʌndɚstˈændɪŋ ðoʊz bˈeɪsɪks ænd fˌʌndəmˈɛntəlz, ðˈɛn ɪɾ ɪz tˈaɪm tə mˈuːv ˌɔn tə lˈɜːn ɐ fɹˈeɪmwɜːk. nˈaʊ, bˈɛɹ wɪð mˌiː hˈɪɹ, ɔːɹ stˈeɪ wɪð mˌiː hˈɪɹ, bɪkˈʌz ðɪs ɪz ɹˈiəli kˈiː. ðɛɹˌɑːɹ ɐ tˈʌn ʌv dˈɪfɹənt fɹˈeɪmwɜːks juː kæn lˈɜːn. ðə ɹˈiːəl tʃˈælɪndʒ kˈʌmz dˌaʊn tə nˈæɹoʊɪŋ ɪn ˌɔn wˈʌn ðæt juː ɹˈiəli bᵻlˈiːv ɪn ɔːɹ wˈɔnt tə stˈɪk wɪð. |1
+TiffTechFemaleVoiceBlonde_23.wav|ænd juː ɹˈiəli nˈiːd tuː, aɪl pˌʊt ˌʌp ˌɔn skɹˈiːn hˈɪɹ, θɹˈiː ɹˈiəli pˈɑːpjʊlɚ wˌʌnz. wˈʌn bˌiːɪŋ dʒˈæŋɡoʊ, wˌɪtʃ ɪz mˈoːɹ hˈaɪlˈɛvəl wˈɛb fɹˈeɪmwɜːk ðæt ɛŋkˈɜːɹɪdʒᵻz juː tə bˈɪld kwˈɪkli ænd klˈiːn. ðɪ ˈʌðɚ, ʌv kˈoːɹs, ɪz pˈændəz, wˌɪtʃ ɪz mˈoːɹ ɚɹˈaʊnd ðə dˈeɪɾə ɐnˈæləsˌɪs sˈaɪd ʌv θˈɪŋz. ænd ðə lˈæst wˈʌn ɪz flˈæsk, wˌɪtʃ ɪz ɐ lˈaɪtweɪt fɹˈeɪmwɜːk. sˌoʊ ɪt ɹˈiəli dᵻpˈɛndz, dˈuː jʊɹ ɹᵻsˈɜːtʃ, tˈeɪk ɐ stˈɛp bˈæk ænd θˈɪŋk, |1
+TiffTechFemaleVoiceBlonde_24.wav|wˌaɪ ɑːɹ juː lˈɜːnɪŋ pˈaɪθən? bɪkˈʌz ðæt wɪl ɹˈiəli dᵻpˈɪkt wʌt fɹˈeɪmwɜːk juː lˈɜːn. ˌʌp ʌntˈɪl ðɪs pˈɔɪnt, ɹᵻɡˈɑːɹdləs ʌv wˌaɪ jʊɹ lˈɜːnɪŋ pˈaɪθən, lˈɜːn ˈɔːl ðiːz stˈɛps. bˌʌt wɛn ɪt kˈʌmz tʊ ɐ fɹˈeɪmwɜːk, mˌeɪk ʃˈʊɹ juː hæv ɐn ˌʌndɚstˈændɪŋ æz tə wʌt ðə fˈɜːst ˈɛnɪwˌeɪz pɚtˈɪkjʊlɚ jˈuːs kˈeɪs juː wˈɔnt tə jˈuːz pˈaɪθən fɔːɹ ɪz. lˈæstli, ænd ˈɑːnɪstli, ðɪs ɪz ðɪ ˈiːziɪst wˌʌn, bˌʌt ɪts sˈʌmθɪŋ ðæt sˌoʊ mˈɛni pˈiːpəl dˈoʊnt dˈuː, wˌɪtʃ ɪz dʒˈɔɪn ɐ kəmjˈuːnᵻɾi. |1

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+TiffTechFemaleVoiceBlonde_25.wav|dʒˈɔɪn ɐn ˈɑːnlaɪn kəmjˈuːnᵻɾi ʌv pˈaɪθən dɪvˈɛləpɚz, pˈiːpəl hˌuː ɑːɹ lˈɜːnɪŋ pˈaɪθən. ɪɾ ɪz ᵻsˈɛnʃəl, ᵻsˈɛnʃəl, ᵻsˈɛnʃəl, wʌtˈɛvɚ. aɪm sˌoʊ pˈæʃənət ɐbˈaʊt ɪt, ðæts wˌaɪ aɪm dˌuːɪŋ ðɪ ᵻsˈɛnʃəl tə dʒˈɔɪn ɐ kəmjˈuːnᵻɾi bɪkˈʌz ðæt ɪz ðɪ ˈoʊnli wˈeɪ, ɪn maɪ əpˈɪniən, juː wɪl stˈɪk wɪð lˈɜːnɪŋ. ɪɾ ɪz sˌoʊ ɪmpˈoːɹtənt tə hæv ˈʌðɚz ɚɹˈaʊnd juː, ˈiːvən vˈɜːtʃuːəli, sˌoʊ juː kæn ʃˈɛɹ jʊɹ wˈɪnz, ʃˈɛɹ jʊɹ tʃˈælɪndʒᵻz təɡˈɛðɚ. |1
+TiffTechFemaleVoiceBlonde_26.wav|nˈaʊ, hˈɪɹ ɑːɹ ɐ fjˈuː kəmjˈuːnᵻɾiz ðæt ɑːɹ ɹˈiəli ɡɹˈeɪt tə dʒˈɔɪn. aɪ θˈɪŋk ɪts dʒˈʌst ɐ ɡɹˈeɪt wˈeɪ tə ɡɛt pˈɑːɹt əvə kəmjˈuːnᵻɾi, mˈiːt nˈuː pˈiːpəl. hˌuː nˈoʊz? mˈeɪbiː juːl fˈaɪnd ɐ nˈuː dʒˈɑːb θɹuːˈaʊt ðiːz kəmjˈuːnᵻɾiz. ˈɔːl ɹˈaɪt, ðæt wʌz ɡˈʊd. aɪ fˈiːl lˈaɪk wiː kˈʌvɚd ɐ lˈɑːt ɪn ɐ vˈɛɹi ʃˈɔːɹt ɐmˈaʊnt ʌv tˈaɪm. aɪ hˈoʊp juː ɛndʒˈɔɪd ðɪs vˈɪdɪoʊ ænd mˌeɪk ʃˈʊɹ tə ɡˈɪv ðɪs ɐ θˈʌmz ˌʌp ɪf juː lˈɜːnd sˈʌmθɪŋ nˈuː θɹˈuː ɪt. |1
+TiffTechFemaleVoiceBlonde_27.wav|lˈiːv ɪnðə kˈɑːmɛnts wʌt wiː ʃˌʊd lˈɜːn təɡˌɛðɚ nˈɛkst ɔːɹ dˈuː wɪð ðɪs lˈɜːn wɪð mˌiː sˈɪɹiz. pˈaɪθən ɪz wˈʌn ʌvðə bˈɛst θˈɪŋz aɪ hæv ˈɛvɚ lˈɜːnd, ˈɑːnɪstli, bɪkˈʌz ɔːlðˈoʊ aɪ nˈɛvɚ jˈuːzd ɪɾ ɪn maɪ sˈɔftwɛɹ dɪvˈɛləpmənt kɚɹˈɪɹ, aɪ jˈuːz ɪɾ ˈɔːl ðə tˈaɪm nˈaʊ tə tˈɪŋkɚ ænd bˈɪld wɪð dˈɪfɹənt pɹˈɑːdʒɛkts, ɪspˈɛʃəli æz aɪm tˈeɪkɪŋ maɪ ˌeɪˈaɪ ænd məʃˈiːn lˈɜːnɪŋ pˈoʊstɡɹˈæd kˈoːɹs. nˈoʊɪŋ pˈaɪθən ænd ɡˌoʊɪŋ ˌɪntʊ ðæt kˈoːɹs wɪð ɪt wʌz ɛkstɹˈiːmli hˈɛlpfəl, sˌoʊ aɪ kˈænt ɹˌɛkəmˈɛnd ɪɾ ɪnˈʌf. |1