Shadowing Practice: How I Would Learn Python FAST (if I could start over) - Learn English Speaking with Video

Bir pratik modu seçin

Her mod tam ekran bir pratik odası açar.

223 cümleler

Cümleler çok kısa veya çok uzun ise, ayarlamak için Düzenle'ye tıklayın.

I taught myself Python at the age of 32 and my dear god I was humbled.

I struggled with it so much I'd never been a problem solver

or like learnt to code before and I just really just I struggled with the logic side,

but I was just learning it the wrong way.

So this video is everything I wish I knew when I started learning Python.

This is the only Python video you need to watch.

Like if you implement what I'm gonna tell you in this video You will learn it

and at the end of it I want to encourage you guys to build your own stuff your own apps

So I'm gonna share a project you can get stuck into one of the big goals of my page is

that you don't just learn but you learn to build your own products.

So whilst you're learning you can actually make something which the worst case scenario looks good on your portfolio,

best case scenario becomes a business.

So let's get stuck in.

If you're new here, my name is Andrew.

I got into tech in my 30s.

I make content around tech,

code and traveling the world as a digital nomad making apps.

So if that sounds like your kind of vibe, subscribe if you want.

Okay first, why should you learn Python?

Let me motivate you and set the scene.

A lot of people are saying that you don't need to learn to code anymore because you can just vibe code apps.

There is a degree of truth in that,

but people who can code will just make way better apps.

But for AI and machine learning,

which is driving all this change in the world,

Python is like the gateway into this industry.

It's the fastest growing sector in the world.

And if you want any technical job in this industry,

then you need to know Python.

So maybe you're watching this and you want to change your life.

Years ago, I was in the same boat.

I didn't know then, but learning JavaScript and Python really did completely change my life.

And if you want to work,

maybe you just want to learn Python or like build apps,

or you want to work in AI machine learning,

this skill is going to take a lot of effort.

You're consistent.

It will change your life.

And one thing to consider here is that you don't learn Python in like six months.

This is like something that you'll be learning for the rest of your career.

Also, you're not just learning Python.

Like Python is a language.

It's the technique.

The big thing you're learning,

the big concept, which is going to bring you so much reward in your career,

is problem solving.

So what do I mean by this?

You want to become the kind of person who goes into any job,

any project, and you can help them with Docker.

You can help them with back-end work, maybe some machine learning.

And just knowing Python won't really help you too much,

but if you're a problem solver and you can work with different technologies,

this really is what companies want.

A big part of this video is to teach you how to become a problem solver

and at the end of the video I'm gonna share the one thing which really helped me in this sense.

And at this stage one thing I wish I'd done earlier

was to learn about the context of where my Python code is sitting in the software lifecycle.

For example if you're a AI machine learning engineer you want to learn you obviously train in models.

You want to learn where your model fits big picture wise for that product.

So you want to learn about AI engineering.

So what's going to happen with that model?

Or you're making backends in Flask or FastAPI.

Then you want to learn a bit about the cloud.

You want to learn about containerization.

You want to learn about backend and frontend.

So it'll just help you to have a context of where your Python code sits.

And you don't have to go too deep.

Just have a high level understanding of where your Python code fits in,

spend a couple of days,

maybe like a week on this.

And the way I recommend to learn Python and what I wish I did is to pick only one long form resource,

a big course that's going to teach you all the fundamentals,

all the basics, the theory,

all the syntax of Python.

Just choose one, go through it thoroughly and that's all you need.

All right and I've handpicked four courses.

You only need to choose one.

So two or three video ones,

One's a paid one and one's a free ebook as well.

So first one, CS50 from Harvard, super famous.

This is the best free introduction to Python course on the internet.

Next one, BroCode.

Bit of a more of an informal YouTube video you can watch, like 10 hours.

If you want a book,

check out Automate the Boring Stuff with Python.

You have to pay for the physical book,

but there's a free ebook and you just go through each chapter and there's projects in it.

Or what I recommend is a paid course from zero to mastery.

It's like 30 or 40 hours.

I wanted a longer tutorial.

It's got really good projects in it It teaches you a bit about AI machine learning as well

and I just like the learning style so zero to master I can't remember the name of the course,

but I'll link it in the description Okay,

at this stage you might be feeling a bit uncomfortable You might have learned a lot of syntax

And then you have to build your own project

and you're sat there looking at the screen

And you're just like how do I solve this and then you feel it's just that uneasy feeling you feel uncomfortable,

you reach for your phone,

you go to distract yourself, don't do that.

100

Set a Pomodoro timer and sit with it.

101

Feel uncomfortable.

102

Then you want to logically break down the problem or the project, whatever it is.

103

But that feeling you get where you feel uncomfortable and you want to distract yourself with your phone maybe,

104

don't do it, lean into it and then you slowly learn to feel more comfortable with becoming a problem solver.

105

I've not heard any other youtubers or like programming instructors talk about this,

106

this deeper level of problem solving.

107

So if you're getting value from this video,

108

all I ask, I'd massively appreciate it if you just like the video.

109

It'll help me out a ton and subscribe if you like.

110

Now a very good question you might have at this point is what about AI

111

when all the answers are just there on

112

that little chatbot why don't I just ask it these questions and gives me the perfect answers.

113

How I use AI and how you should use AI is like your personalized tutor.

114

What you don't want it to do is to do the problem-solving for yourself.

115

So you've got to use your own initiative here.

116

If you feel like you're outsourcing your brain,

117

outsourcing your thinking, outsourcing the problem-solving,

118

then you're doing it wrong.

119

But you want to use it to your advantage like a tailored tutor that you're paying to help you learn Python.

120

So ask it specific questions about decorators, about loops, functions, whatever.

121

Just ask it specific questions but don't let it do the work for you.

122

You should feel uncomfortable.

123

If you're not feeling uncomfortable,

124

if you don't feel like your brain is hurting,

125

it like aches because you're pushing your mind to its limit,

126

then you're not doing it right.

127

Okay, once you've done half of the course I want you to stop.

128

So halfway through you'll have learned all the fundamentals and the syntax of Python like variables,

129

loops, conditionals, really basic stuff.

130

And what you want to do is go on a website,

131

it's completely free, called Practice Python.

132

If we look at it Now it's got 40 beginner Python exercises.

133

And this is just really basic stuff,

134

but you're going to be learning how to write Python code.

135

And it slowly gets more complex.

136

It's got these little chilies.

137

The more there are, the harder it is.

138

But this is just a great website I found just to get into the practice of writing actual Python.

139

Now at this stage, there might be some concepts like functions or decorators that you're just struggling to visualize.

140

There is a great free website for this.

141

It's called Python Tutor.

142

How it works is it just visualizes code execution in Python.

143

So you can write whatever you want in here.

144

I can put any function and it will just visualize it for me.

145

At this stage in your development, this is crucial.

146

So another great free resource I recommend.

147

And obviously, if you have specific questions,

148

if there's something that's not clicking, ask AI.

149

Okay, at the start of the video,

150

I said there's one technique which helped me become a problem solver.

151

This is it.

152

So we're continuing to go through the course that we chose.

153

But at the start of every single session,

154

we're going to go to a website,

155

it's totally free, called Code Wars.

156

What this is, is like going to the gym for coders.

157

So every single session you sit down to do this course,

158

you start it by doing a toy problem.

159

This is like a small compartmentalized problem.

160

The whole idea of it is like going to the gym and it's going to teach you problem solving.

161

So you're given these isolated problems,

162

start at the easiest one.

163

If you go on code wars,

164

it's all based on a CATA system.

165

So start at eight and just start solving these code war problems.

166

Now, once you graduate, you'll do something called leak code.

167

But for that, you usually need to know data structures and algorithms.

168

We're not getting into that yet,

169

but code wars is a great way to practice this logical thinking and this problem solving.

170

Okay, final step.

171

So, but first let's recap on what we've done so far.

172

So we started off with the right mindset.

173

We talked about the context of Python within a project.

174

We chose a course.

175

Whilst we were doing the course,

176

we were doing these toy problems and visualizing the code.

177

Now we're going to put everything into practice and start doing projects.

178

And there is a GitHub repo called 30 Days of Python.

179

The reason I like it is basically 30 projects,

180

but each day it adds on the complexity.

181

So you start on day one and it's just like an introduction showing you how to install Python.

182

It builds up to strings,

183

sets, loops, so the basic stuff.

184

And at the end of it,

185

real stuff you're going to use on the job.

186

So, you know, like web scraping,

187

Python with a real database like MongoDB.

188

And it takes you through the final step,

189

which is building an API.

190

So this is stuff that you'll use on a real job.

191

So the next step now,

192

go through each of these projects.

193

Now, if you follow the steps I've given you,

194

you know the basics of Python and in theory, you're job ready.

195

But at the start of the video,

196

I said, the big goal of my page is to encourage you guys to learn

197

but also build your own products you're trying to sell at the same time.

198

So you can continue with AI machine learning if you want or whichever direction you want to go in with.

199

I recommend you try and make your own SaaS.

200

I've got different videos on my page about how to come up with an idea,

201

so watch those.

202

I found a really good tutorial which will help you build a SaaS with Python.

203

It'll teach you Stripe, Postgres as a database,

204

Tailwind for styling and GitHub Actions.

205

So think of an idea and if you're up for it,

206

try and build your own product.

207

Worst case scenario, it looks really good in your portfolio compared to like a generic project.

208

Best case scenario, you charge $50 a month,

209

you got a few people,

210

it becomes a side hustle or like an income for you.

211

And that is it.

212

And one thing I wanna say is that if you follow these steps,

213

I know it doesn't feel like it now,

214

but you will learn this stuff.

215

And don't forget to enjoy the process.

216

Like I look back, I was so focused on where I wanted to be.

217

I wish I enjoyed the process more.

218

So yeah, if you like this content,

219

if you got any value from it, massively appreciate it.

220

If you like the video, subscribe if you want.

221

I'll see you in the next one.

222

Happy coding.

223

Ciao.

Uygulamayı İndir

Akıcı konuşmak için ihtiyacınız olan her şey

AI TelaffuzHer cümleyi puanla

IPA AlıştırmasıHer sesi ustalaştır

Kelime BilgisiKelime bankanızı oluşturun

Kelime OyunuOynarken öğrenin

QR Tara

Download on theApp Store Get it onGoogle Play

Aynı Kanal

Fastest way to become an AI Engineer in 2026

Daily ConversationUniversity StudentsWorking Adults

Don't choose the wrong tech career in 2026

Daily ConversationUniversity StudentsWorking Adults

FOR YOU

Video Öner

12 cümleler

Learning to code: How Pavel Durov learned to program | Lex Fridman Podcast Clips

Business EnglishUniversity StudentsWorking Adults

179 cümleler

She learned one new skill that unlocked a $120K salary

Business EnglishInterview EnglishWorking Adults

171 cümleler

Learn 10X Faster In 10 Minutes

Daily ConversationUniversity StudentsWorking Adults

Bu dersin kelimeleri ve konuşma notları

Bu C1 seviyesindeki konuşma dersi “How I Would Learn Python FAST” videosuna dayanıyor. En çok tekrarlanan kelimeler: Python, learn, code, learning, project. Bu videoda gölgeleme çalışması için 223 cümle ve 2188 kelime var. Konuşma bölümü 10:29 sürüyor. Konuşmacı hızlı konuşuyor, dakikada yaklaşık 209 kelime; bu yüzden birbirine bağlanan ve zayıflayan sesler duyacaksınız. Kelimelerin %85’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.

Bu videodaki önemli kelimeler

Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:

Kelime	Telaffuz	Anlam
visualize fiil	/ˈvɪʒuəˌlaɪz/	tasavvur etmek
syntax isim	/ˈsɪn.tæks/	sözdizimi, sentaks
tutor isim	/ˈtjuːtəː/	lala
subscribe fiil	/səbˈskɹaɪb/	abone olmak
decorator isim	/ˈdɛkəˌɹeɪtɚ/	bezekçi, bezeyici
distract fiil	/dɪˈstɹækt/	dikkati dağıtmak
vibe isim	/vaɪb/	ortam
personalize fiil	/ˈpɜː.sə.nə.laɪz/	kişiselleştirmek
scrape fiil	/skɹeɪp/	kazımak
tailwind isim	/ˈteɪlwɪnd/	pupa rüzgârı
beginner isim	/bəˈɡɪnɚ/	acemi, çaylak
conditional isim	/kənˈdɪʃ.ə.nəl/	koşul bileşik zamanı, şart bileşik zamanı
tailor isim	/ˈteɪlɚ/	terzi, dikici
hustle fiil	/ˈhʌsəl/	acele etmek
chili isim	/ˈt͡ʃɪli/	acı biber

Duyacağınız deyimsel fiiller

Kelime	Anlam
check out fiil	gözden geçirmek

Bu videodaki dil bilgisi

Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:

Yapı	Videoda
Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem	I've handpicked · I've not heard · you've done
İlgi cümlecikleri who / which + cümle — bir kişi ya da şey hakkında ek bilgi	people who can · concept, which is · person who goes

Dikkat edilecek telaffuzlar

Konuşmacı you're, don't, I've gibi kısaltılmış biçimleri 70 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

“th” sesleri: algorithm /ˈælɡəɹɪðm̩/, thoroughly /ˈθʌɹ.ə.li/
“sh” ve “zh” sesleri: visualize /ˈvɪʒuəˌlaɪz/, conditional /kənˈdɪʃ.ə.nəl/
Uzun kelimeler — vurguyu doğru yere koyun: decorator /ˈdɛkəˌɹeɪtɚ/, compartmentalize /kəmˌpɑɹtˈmɛntəlˌaɪz/, personalize /ˈpɜː.sə.nə.laɪz/, conditional /kənˈdɪʃ.ə.nəl/, complexity /kəmˈplɛk.sɪ.ti/

Türkçe konuşanların zorlandığı sesler:

/w/ — dudaklar yuvarlak, /v/ değil: tailwind /ˈteɪlwɪnd/, whichever /wɪt͡ʃˈɛvɚ/, gateway /ˈɡeɪtˌweɪ/, halfway /ˌhæfˈweɪ/
Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: tutor /ˈtjuːtəː/, tutorial /ˌtjuːˈtɔːɹɪəl/, scrape /skɹeɪp/
/æ/ — “e”den daha açık: syntax /ˈsɪn.tæks/, massively /ˈmæs.ɪv.li/, distract /dɪˈstɹækt/, chatbot /ˈtʃætbɑt/, mastery /ˈmæs.tɚ.i/

Bu videoyla nasıl çalışılır

Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
Kendinizi kaydedin ve orijinaliyle karşılaştırın; visualize, syntax, tutor gibi kelimelere özellikle dikkat edin.

Gölgeleme Tekniği Nedir?

Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.

Shadowing tekniği: adım adım eksiksiz rehberi okuyun →

Shadowing Practice: How I Would Learn Python FAST (if I could start over) - Learn English Speaking with Video

Bir pratik modu seçin

Uygulamayı İndir

Fastest way to become an AI Engineer in 2026

Don't choose the wrong tech career in 2026

How I’d Learn Coding in 2026 (Without Wasting Years)

Python For Ethical Hacking & Cybersecurity Basic Intro

How To Learn Faster Than 99% of People

How I Got to $500,000 Trading by 25

how I would study Spanish (if I could start over) ⊹ resources & tips

What is Python? Why Python is So Popular?

If I Had 90 Days To Start A Business, This Is My Plan.

My Experience of Learning Python

How To Actually Get Good At Hard Things | Napoleon's Learning Strategy

Learning to code: How Pavel Durov learned to program | Lex Fridman Podcast Clips

She learned one new skill that unlocked a $120K salary

Learn 10X Faster In 10 Minutes

Bu dersin kelimeleri ve konuşma notları

Bu videodaki önemli kelimeler

Duyacağınız deyimsel fiiller

Bu videodaki dil bilgisi

Dikkat edilecek telaffuzlar

Bu videoyla nasıl çalışılır

Gölgeleme Tekniği Nedir?