跟读练习: How I Would Learn Python FAST (if I could start over) - 通过YouTube学习英语口语
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I taught myself Python at the age of 32 and my dear god I was humbled.
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I taught myself Python at the age of 32 and my dear god I was humbled.
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I struggled with it so much I'd never been a problem solver
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or like learnt to code before and I just really just I struggled with the logic side,
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but I was just learning it the wrong way.
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So this video is everything I wish I knew when I started learning Python.
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This is the only Python video you need to watch.
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Like if you implement what I'm gonna tell you in this video You will learn it
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and at the end of it I want to encourage you guys to build your own stuff your own apps
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So I'm gonna share a project you can get stuck into one of the big goals of my page is
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that you don't just learn but you learn to build your own products.
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So whilst you're learning you can actually make something which the worst case scenario looks good on your portfolio,
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best case scenario becomes a business.
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So let's get stuck in.
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If you're new here, my name is Andrew.
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I got into tech in my 30s.
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I make content around tech,
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code and traveling the world as a digital nomad making apps.
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So if that sounds like your kind of vibe, subscribe if you want.
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Okay first, why should you learn Python?
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Let me motivate you and set the scene.
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A lot of people are saying that you don't need to learn to code anymore because you can just vibe code apps.
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There is a degree of truth in that,
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but people who can code will just make way better apps.
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But for AI and machine learning,
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which is driving all this change in the world,
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Python is like the gateway into this industry.
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It's the fastest growing sector in the world.
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And if you want any technical job in this industry,
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then you need to know Python.
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So maybe you're watching this and you want to change your life.
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Years ago, I was in the same boat.
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I didn't know then, but learning JavaScript and Python really did completely change my life.
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And if you want to work,
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maybe you just want to learn Python or like build apps,
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or you want to work in AI machine learning,
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this skill is going to take a lot of effort.
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You're consistent.
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It will change your life.
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And one thing to consider here is that you don't learn Python in like six months.
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This is like something that you'll be learning for the rest of your career.
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Also, you're not just learning Python.
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Like Python is a language.
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It's the technique.
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The big thing you're learning,
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the big concept, which is going to bring you so much reward in your career,
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is problem solving.
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So what do I mean by this?
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You want to become the kind of person who goes into any job,
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any project, and you can help them with Docker.
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You can help them with back-end work, maybe some machine learning.
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And just knowing Python won't really help you too much,
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but if you're a problem solver and you can work with different technologies,
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this really is what companies want.
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A big part of this video is to teach you how to become a problem solver
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and at the end of the video I'm gonna share the one thing which really helped me in this sense.
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And at this stage one thing I wish I'd done earlier
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was to learn about the context of where my Python code is sitting in the software lifecycle.
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For example if you're a AI machine learning engineer you want to learn you obviously train in models.
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You want to learn where your model fits big picture wise for that product.
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So you want to learn about AI engineering.
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So what's going to happen with that model?
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Or you're making backends in Flask or FastAPI.
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Then you want to learn a bit about the cloud.
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You want to learn about containerization.
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You want to learn about backend and frontend.
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So it'll just help you to have a context of where your Python code sits.
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And you don't have to go too deep.
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Just have a high level understanding of where your Python code fits in,
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spend a couple of days,
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maybe like a week on this.
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And the way I recommend to learn Python and what I wish I did is to pick only one long form resource,
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a big course that's going to teach you all the fundamentals,
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all the basics, the theory,
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all the syntax of Python.
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Just choose one, go through it thoroughly and that's all you need.
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All right and I've handpicked four courses.
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You only need to choose one.
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So two or three video ones,
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One's a paid one and one's a free ebook as well.
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So first one, CS50 from Harvard, super famous.
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This is the best free introduction to Python course on the internet.
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Next one, BroCode.
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Bit of a more of an informal YouTube video you can watch, like 10 hours.
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If you want a book,
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check out Automate the Boring Stuff with Python.
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You have to pay for the physical book,
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but there's a free ebook and you just go through each chapter and there's projects in it.
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Or what I recommend is a paid course from zero to mastery.
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It's like 30 or 40 hours.
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I wanted a longer tutorial.
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It's got really good projects in it It teaches you a bit about AI machine learning as well
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and I just like the learning style so zero to master I can't remember the name of the course,
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but I'll link it in the description Okay,
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at this stage you might be feeling a bit uncomfortable You might have learned a lot of syntax
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And then you have to build your own project
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and you're sat there looking at the screen
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And you're just like how do I solve this and then you feel it's just that uneasy feeling you feel uncomfortable,
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you reach for your phone,
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you go to distract yourself, don't do that.
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Set a Pomodoro timer and sit with it.
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Feel uncomfortable.
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Then you want to logically break down the problem or the project, whatever it is.
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But that feeling you get where you feel uncomfortable and you want to distract yourself with your phone maybe,
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don't do it, lean into it and then you slowly learn to feel more comfortable with becoming a problem solver.
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I've not heard any other youtubers or like programming instructors talk about this,
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this deeper level of problem solving.
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So if you're getting value from this video,
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all I ask, I'd massively appreciate it if you just like the video.
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It'll help me out a ton and subscribe if you like.
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Now a very good question you might have at this point is what about AI
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when all the answers are just there on
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that little chatbot why don't I just ask it these questions and gives me the perfect answers.
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How I use AI and how you should use AI is like your personalized tutor.
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What you don't want it to do is to do the problem-solving for yourself.
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So you've got to use your own initiative here.
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If you feel like you're outsourcing your brain,
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outsourcing your thinking, outsourcing the problem-solving,
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then you're doing it wrong.
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But you want to use it to your advantage like a tailored tutor that you're paying to help you learn Python.
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So ask it specific questions about decorators, about loops, functions, whatever.
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Just ask it specific questions but don't let it do the work for you.
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You should feel uncomfortable.
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If you're not feeling uncomfortable,
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if you don't feel like your brain is hurting,
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it like aches because you're pushing your mind to its limit,
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then you're not doing it right.
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Okay, once you've done half of the course I want you to stop.
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So halfway through you'll have learned all the fundamentals and the syntax of Python like variables,
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loops, conditionals, really basic stuff.
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And what you want to do is go on a website,
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it's completely free, called Practice Python.
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If we look at it Now it's got 40 beginner Python exercises.
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And this is just really basic stuff,
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but you're going to be learning how to write Python code.
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And it slowly gets more complex.
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It's got these little chilies.
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The more there are, the harder it is.
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But this is just a great website I found just to get into the practice of writing actual Python.
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Now at this stage, there might be some concepts like functions or decorators that you're just struggling to visualize.
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There is a great free website for this.
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It's called Python Tutor.
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How it works is it just visualizes code execution in Python.
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So you can write whatever you want in here.
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I can put any function and it will just visualize it for me.
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At this stage in your development, this is crucial.
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So another great free resource I recommend.
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And obviously, if you have specific questions,
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if there's something that's not clicking, ask AI.
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Okay, at the start of the video,
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I said there's one technique which helped me become a problem solver.
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This is it.
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So we're continuing to go through the course that we chose.
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But at the start of every single session,
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we're going to go to a website,
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it's totally free, called Code Wars.
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What this is, is like going to the gym for coders.
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So every single session you sit down to do this course,
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you start it by doing a toy problem.
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This is like a small compartmentalized problem.
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The whole idea of it is like going to the gym and it's going to teach you problem solving.
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So you're given these isolated problems,
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start at the easiest one.
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If you go on code wars,
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it's all based on a CATA system.
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So start at eight and just start solving these code war problems.
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Now, once you graduate, you'll do something called leak code.
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But for that, you usually need to know data structures and algorithms.
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We're not getting into that yet,
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but code wars is a great way to practice this logical thinking and this problem solving.
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Okay, final step.
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So, but first let's recap on what we've done so far.
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So we started off with the right mindset.
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We talked about the context of Python within a project.
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We chose a course.
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Whilst we were doing the course,
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we were doing these toy problems and visualizing the code.
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Now we're going to put everything into practice and start doing projects.
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And there is a GitHub repo called 30 Days of Python.
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The reason I like it is basically 30 projects,
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but each day it adds on the complexity.
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So you start on day one and it's just like an introduction showing you how to install Python.
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It builds up to strings,
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sets, loops, so the basic stuff.
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And at the end of it,
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real stuff you're going to use on the job.
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So, you know, like web scraping,
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Python with a real database like MongoDB.
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And it takes you through the final step,
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which is building an API.
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So this is stuff that you'll use on a real job.
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So the next step now,
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go through each of these projects.
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Now, if you follow the steps I've given you,
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you know the basics of Python and in theory, you're job ready.
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But at the start of the video,
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I said, the big goal of my page is to encourage you guys to learn
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but also build your own products you're trying to sell at the same time.
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So you can continue with AI machine learning if you want or whichever direction you want to go in with.
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I recommend you try and make your own SaaS.
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I've got different videos on my page about how to come up with an idea,
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so watch those.
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I found a really good tutorial which will help you build a SaaS with Python.
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It'll teach you Stripe, Postgres as a database,
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Tailwind for styling and GitHub Actions.
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So think of an idea and if you're up for it,
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try and build your own product.
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Worst case scenario, it looks really good in your portfolio compared to like a generic project.
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Best case scenario, you charge $50 a month,
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you got a few people,
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it becomes a side hustle or like an income for you.
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And that is it.
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And one thing I wanna say is that if you follow these steps,
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I know it doesn't feel like it now,
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but you will learn this stuff.
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And don't forget to enjoy the process.
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Like I look back, I was so focused on where I wanted to be.
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I wish I enjoyed the process more.
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So yeah, if you like this content,
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if you got any value from it, massively appreciate it.
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If you like the video, subscribe if you want.
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I'll see you in the next one.
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Happy coding.
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Ciao.
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背景与背景信息
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日常交流的五大短语
- 学习Python的原因： 为什么学习Python 是一种改变生活的技能。
- 应用与开发： 在学习编程时，创建自己的应用或项目的重要性。
- 持续学习： 编程并不是短期的学习，而是职业生涯中持续的过程。
- 解决问题的能力： 编程不仅仅是学习语言，更是培养解决问题的思维方式。
- 与技术沟通： 学习如何在技术项目中有效沟通和协作。
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- 选择适合的材料： 从视频中选择一小段，比如以上的短语，保证内容与你的学习目标相关。
- 初步聆听： 首先完整地听一遍，理解大意。这个过程可以使用英语影子跟读（英语影子跟读）来提升自己的发音。
- 逐句模仿： 将视频暂停，逐句跟读每句话，注意语音的强弱与语调变化。您可以使用“shadowspeaks”技巧来帮助自己更好地模仿。
- 反复练习： 每天抽出时间进行影子跟读，直到你能流利地复述整个段落。
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通过这种方法，不仅可以学习技术知识，还能提高您的英语口语能力，使您在未来的职业生涯中更具竞争力。
什么是跟读法？
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