Pratique du Shadowing: I don't like Programming - Apprendre l'anglais à l'oral avec la vidéo
Choisissez un mode d'entraînement
Chaque mode ouvre une salle d'entraînement en plein écran.
261 phrases
Si les phrases sont trop courtes ou trop longues, cliquez sur Edit pour les ajuster.
1
Guys, I have a confession to make.
2
I don't like programming.
3
i never liked programming in fact programming.
4
Now I'm being a little facetious here, but I'm going to tell you what I mean.
5
And that's going to include a few themes, including are the things that we learned as programmers or the things that maybe you should learn if you're getting into it.
6
Are they useless?
7
Does it matter if you know what a hash map is or like a lot of those fundamental concepts and stuff?
8
I also want to talk about the type of programmer that I am and a bit about my like programming career trajectory.
9
how
10
in some ways at least people are saying the joy of programming has been taken away from them
11
and i feel like in certain ways because of the type of programmer
12
that i am that maybe i've adapted a little bit differently than most people
13
when i was in school in college i took an intro to c class back in 2016
14
and i learned all sorts of things of course a lot of which i used in my career i learned
15
learned about memory management.
16
Right.
17
And I don't think professionally I ever needed to do manual memory management.
18
Even using a language like C++, there's smart pointers now.
19
Why does anybody need to know how to manage memory?
20
Maybe there's some niche areas that it's like extremely important, but most people, they're never going to need that.
21
And also what about DSA, data structures and algorithms?
22
I spent a lot of time doing that, learning that.
23
And I enjoyed it.
24
But Did I ever really use it on the job?
25
I mean...
26
Not really.
27
I mean, the fundamentals, obviously, like hash maps, loops, like efficiency and general optimizations, but you can get that, you know, at mostly just the leak code easy level.
28
You're not going to need those graph traversals on the job.
29
Why would you?
30
The only time I remember something like interesting coming up at Google, you know, the company.
31
I'm not trying to mention that in like a bragging way.
32
I'm just mentioning it because it's kind of the company that's known for like DSA interviews, right?
33
And then you get in and you don't really use that.
34
And I remember there was a case where Google has CLs, which is basically like pull requests, and then each CL will get like a unique number.
35
And I forgot what the exact detail was, but I think it was like each CL will have like a unique ID, of course, that's auto generated.
36
And then when it's actually merged in Google, they have like a mono repo.
37
So every piece of every CL, every pull request is merged into the exact same repo.
38
And I was asking like a question about like something about the CL number conflicts.
39
I don't remember the exact details, but basically what he said was, yeah, these are monotonic, so that there won't be conflicts or issues.
40
And you'll know which CL was merged before the other one.
41
And when I heard that, I was like, Holy shit, did he just say?
42
And this was actually like right before I left.
43
And he said it and I was like monotonic increasing like hey, DSA, right?
44
But for the most part, like those concepts really were not needed.
45
And maybe Nowadays, We don't ever even need to know how to use Git,
46
but I mean, you might still want to because it's so damn painful to watch these LLMs do it.
47
And I don't know who made the judgment call to not just allow maybe like a text input or something.
48
And I can just type my own damn commit message and get this done with.
49
I know I can use the terminal.
50
And this must be how Vim users feel watching normal people type, but I'm.
51
You know, mentioning a few things and I'm not going to act like I have the answer to these things, but I'll tell you for my opinion, my very humble opinion that.
52
I don't think.
53
The things that I learned and the things that I worked on that I didn't directly use, I don't think they were wasted.
54
I really don't.
55
Because I did a lot in my life and so has everyone, right?
56
What I mean by that is I did so much things in school We all learn so many things, so many subjects, so many concepts and Do we really need that?
57
I mean, we all remember sitting in class thinking, "When am I ever going to need this knowledge that's right in front of me?" And many times you don't, but does it mean it's useless?
58
I'm not convinced.
59
Holistically, we are like people that have all this like knowledge.
60
And I don't think it's worth like cutting out fundamental things.
61
I think that's very like dangerous.
62
It sets like a really scary precedence because, OK, maybe maybe it is useless.
63
Maybe nobody needs to ever know math anymore.
64
We have calculators.
65
But I think learning is extremely important because it's not just about like the concrete thing.
66
Okay, I learned this random framework or random tool.
67
And now I got to start a different job and I have to learn a different tool now.
68
everything I learned before is completely useless.
69
I don't think that because of this concept that I haven't invented, but it's called like a mental model. And...
70
We.. all learn a lot of mental models just from school.
71
If you pay attention, for example, In math, you learn these logic rules, these rigid rules, and they're consistent.
72
And they teach you how to think.
73
If you take a math person who's super good at math and then you try to put them into a programming career, they excel, dude.
74
Like, it's just a thing.
75
I can't tell you exactly which math concept directly, you know, made them a super good programmer or not, but it's a phenomenon.
76
This is a thing.
77
And there's so many different mental models in the world of so many different concepts, many in the programming world,
78
many in psychology, many in nature. of evolutionary biology.
79
And the important thing about these mental models is they allow us to reason about things that we do not understand.
80
Like in physics, there is this concept of laws of nature, Newton's laws of nature.
81
They explain things.
82
And when you don't have these things, you do lose something.
83
I strongly believe that because I remember, I don't know about you guys, but I remember being a kid.
84
I remember thinking, why does the moon go around the earth?
85
It's so right?
86
And of course, an adult who knows is going to look at the kid and say, oh, it's gravity.
87
It's gravity.
88
Gravity is just a word.
89
That doesn't really explain anything.
90
Newton's laws.
91
Newton's laws explain it.
92
An object in motion will stay in motion.
93
And the beautiful thing about these mental models, is Newton's laws, they don't just explain why the moon goes around the Earth.
94
It explains so many things.
95
And when Einstein, you know, built, went on top of the things that Newton did,
96
he had to deeply understand the mental models that Newton did, right, that he created.
97
And so it turned out that certain things that Newton, Newton's, certain things about Newton's theory of gravity were wrong.
98
But was it useless?
99
Obviously not.
100
But anyways, I could ramble about this literally all day.
101
So I'll move on to the type of programmer that I am and I'm about to make
102
a very offensive statement to a lot of people.
103
I know that.
104
And I'm going to say it.
105
I was the type who got into programming for the money.
106
I did.
107
I got into Fang for the cash.
108
I really liked math and physics, so I actually studied electrical engineering when I first started in college, but they required me to take a programming course, which I wasn't happy about,
109
and it was Intro to C.
110
And I really wasn't excited about it.
111
I really struggled with it.
112
Even just print F was really hard for me to wrap my head around.
113
I don't know why I'm kind of a slow learner, but once I think a month or two into the class, you learn about variables.
114
You learn about the different types.
115
You learn about...
116
if statements loops functions, reuse code, you learn about structs.
117
And then there comes a moment where For me, something just clicked.
118
I realized that, wait a minute, these small number of primitives that are very logical and very consistent,
119
actually it's so few of them yet they're so extremely powerful they have the power of infinite complexity
120
These small primitives can create incredible software operating systems, right?
121
And That's what I loved about it.
122
The same thing I loved about Newton's laws, that a small number of things can actually explain so much, that a small number of fundamentals have an incredible amount of power.
123
So actually, I loved it.
124
I love memory management, but then I had to get practical.
125
And then when I was looking at the job market, I was like, OK, well, I got to learn web development, right?
126
Got to learn JavaScript and I got to learn what an XHR is.
127
And an XHR, an XML HTTP request, is named that, yet it's not necessarily an XML format.
128
And it's not necessarily HTTP and it's not necessarily a request.
129
It could be a response to an XHR could mean response.
130
So as a person who likes logic and likes consistency.
131
Oh my God, you cannot believe how much web development pissed me off.
132
I hated programming.
133
to an amount I cannot articulate As much as I loved C, and the primitive nature of it.
134
I hated web development just as much for the opposite, for the same reasons, because it was kind of the opposite.
135
Right?
136
So I did get a little bit jaded.
137
I I have talked about this before, but I was unemployed for like a year after I left Amazon.
138
And during that year, let me tell you something.
139
Let me tell you something.
140
I did not do any sort of real development.
141
All I did for that year was make leak code videos in Python, only Python.
142
And then I was lucky enough to get into Google.
143
And when I got into Google, I did not do any Python.
144
and not do any TSA.
145
But I also...
146
did pretty well at Google.
147
I got promoted within a year.
148
And I think obviously the fact that I have a CS degree and I didn't cheat through that degree, I actually did learn the fundamentals and the important stuff.
149
that did help me a great deal.
150
And the fact that I was still thinking like a programmer doing DSA videos and also kind of communicating my thoughts.
151
I think that helped me a lot.
152
And then so at Google, I was a what I would call a copy paste programmer.
153
And I'm embarrassed to admit it, and I know I'm not doing myself any favors.
154
by admitting that.
155
But I was just so lazy because a lot of the work at Google is not that interesting.
156
You're not doing a lot of the fun, interesting computer science concepts that I enjoy.
157
Development just looks very different.
158
there and I wasn't really enthusiastic about learning all those internal tools and stuff like that, but I still did it.
159
Basically, most of the code, you know how people say that with AI coding, most people aren't handwriting code anymore.
160
Baby, I was not handwriting code for a long ass time.
161
I mean, not literally, but for example, like, you know, back in 100 years ago when Stack Overflow was a thing,
162
a lot of people were the types of programmers that they would just You know, if they had a question, they just blindly open open up.
163
stack overflow, copy and paste a code snippet into their code, maybe change some variables around, and then they're good to go.
164
Maybe they didn't even fully understand that piece of code.
165
I did that.
166
They don't have Stack Overflow, but they have their internal Mono repo, which is in code search.
167
I need to use this library.
168
I could go read the documentation.
169
The documentation sucks ass at Google.
170
Screw it.
171
I'm just going to go into the code base, find somebody else who used this API, copy and paste their code, try to understand it a little bit.
172
change my variables around and I'm good to go.
173
And so even though I'm the type of person who likes to go deep into things,
174
I like to do a small number of things and do them extremely well and extremely thoroughly and extremely deep.
175
But that's not the nature of being a programmer in most jobs, including at Google.
176
Because let's say, you know, you have like one document you're trying to learn about this tech that you're using, right?
177
That document is going to link to like five Right.
178
You could spend your whole life doing a depth first search, trying to read all those documents, and you still won't get anywhere near to completing your task.
179
Right.
180
So what I did.
181
at that point is I'm like, as much as I want to learn all these things, I'm just going to do my job and I'm going to get my work done.
182
And so rather than focusing on like the joy of programming, I focused on just trying to be good at my job.
183
And I sacrificed the joy of programming in that moment just to be better at my job.
184
And I, And I accomplished that.
185
I was lucky enough to be promoted in a year, which I think is like top five percentile at Google from like L3 to L4.
186
But I'm not going to act like it's because I'm a genius.
187
I think it's just because I've made certain choices and I did have some luck as well.
188
So now that we are seeing this big transition to prompting LLMs and then waiting for them to fix something,
189
which they're pretty good at nowadays, you still kind of have to be a programmer, I think, to get a lot of the value out of them.
190
of people it's just not as enjoyable as it was before and I think that matters.
191
That definitely matters because I think joy matters a lot.
192
For example, you guys know Jared from Bunn?
193
He was just a chill dude.
194
working on a JavaScript runtime for several years.
195
Why would he do that?
196
Why?
197
What? Where?
198
How would he possibly make money doing that?
199
Right?
200
But he just wanted to, and I guess he had investment and he really, really enjoyed it.
201
Turns out he got a pretty big acquisition from Anthropic.
202
And so it ended up paying off, right?
203
And even in my own case, when I was making these DSA LeakCode videos, do you really think I thought anything would happen from them?
204
Of course not.
205
But I really, really enjoyed making them because like I said, I like going deep into things.
206
So when I'm making that video, I'm like, I'm going to go the extra mile to make it as good as I possibly can just
207
because I want to, just because it helps me sleep better at night.
208
And so because of that, I think the videos were maybe a little bit better than most people's.
209
And because of that, I ended up having.. a lot more success than I would have ever imagined.
210
But like I said earlier, I think in some ways it can be good to maybe not enjoy programming too much.
211
Because then you might, like we've all seen like the types of programmers
212
that care too much about like their their code or the tools that they're using,
213
like they care, like they'll do some random migration that really has pretty minimal benefits, but they just want to do it.
214
They just love tech.
215
They love coding so much that, you know, maybe they love it too much.
216
And they focus on that more than the business.
217
So I think it's, you know, I'm not here to tell you what the right answer is or anything, but I think these are interesting things that are worth considering.
218
I think this transition to AI coding has been something that's in many ways, like kind of familiar to me.
219
It doesn't feel that new to me because like I said, I had to make that transition so many times and I can see why it would be harder for other people who've, you know, just focused on
220
Casey Muratori and he is probably had the opposite career
221
that I have and so I think but I think
222
that was by choice that was his choice to do that and I'll be uploading that conversation pretty soon
223
if you're interested in that.
224
But I could have made similar choices as him, but I just decided not to.
225
In my case, I was broke.
226
I needed to make money.
227
I had to be pragmatic about things.
228
And so that's kind of what I prioritized.
229
And I think today, I'm kind of doing the same thing.
230
that I kind of did at Google, which is, yeah, In some ways, like this is kind of boring.
231
This is not what I like.
232
I'd rather be in my underwear making leak code videos rather than at the Google office.
233
eating the free food and, you know, editing config files.
234
But I think you can still learn to enjoy things.
235
If you choose to, In my case, for example, I got Google.
236
I would think to myself like, OK, like maybe I can reframe this.
237
to give myself some gratitude.
238
What I mean by that is
239
rather than thinking like okay this is kind of boring i made it my goal rather
240
then to go super deep into these technical concepts that I found interesting.
241
Instead of doing
242
that, I made it my goal to go super deep in
243
the direction of being what I would consider an elite engineer at Google, like what makes somebody elite at Google while just doing your work
244
and solving the problems and trying to have as much of an impact as you can.
245
And at the L3 level, As a junior, you want to try to be as independent as you can.
246
So that's what I tried to do.
247
And yeah, I didn't love editing config files, but I told myself I'm going to be somebody who can read this code.
248
And I want to be proficient.
249
I looked at these senior engineers around me and I see, damn, they can just, do it so much better than me.
250
I want to be on their level.
251
Definitely helped me.
252
And so I think with this whole agentic coding, I think I've tried to have a similar mindset.
253
I'm not the best agentic coder.
254
I think I'm not the best coder.
255
I'm not the best trad coder, traditional coder either, but I try to go deep
256
and try to be the best that I can be in my own way.
257
But let me know what you guys think about that, because obviously I'm just one guy and everybody's, kind of handling this transition differently.
258
I do think we all have somewhat of a say in the matter.
259
It's kind of like that meme where those two people are on that bus.
260
If you don't embrace change, you're going to be pretty depressed because the world is always changing.
261
But If you do, you can kind of see the other side of that.
Télécharger l'application
Tout pour parler couramment
Prononciation IAChaque phrase notée
Phonétique (IPA)Maîtrisez chaque son
VocabulaireEnrichissez votre lexique
Jeu de vocabulaireApprenez en jouant
📺 Même chaîne
C12
Two Sum - Leetcode 1 - HashMap - Python
Daily ConversationUniversity StudentsWorking Adults
C1Minimum Window Substring - Airbnb Interview Question - Leetcode 76
Daily ConversationUniversity Students
C1The BEST Coding Interview Roadmap in 2023 (free)
Business EnglishInterview EnglishUniversity Students
✨ Vidéo recommandée
B23
81 phrases
AI Coding Is a Dead End
Daily ConversationWorking Adults
B13
62 phrases
Day In my Life as a Software Engineering Intern at Google
Daily ConversationUniversity StudentsWorking Adults
B21
96 phrases
Design Patterns in Java Theory
Daily ConversationUniversity StudentsWorking Adults
B21
104 phrases
Why I Quit Learning Languages
Daily ConversationWorking Adults
B23
63 phrases
How To Land Your First Junior Dev Role
Daily ConversationUniversity StudentsWorking Adults
B21
475 phrases
Your Insecurity Is Your Brand
Daily ConversationWorking Adults
C11
207 phrases
Go’s Big Mistake
Daily ConversationUniversity StudentsWorking Adults
B21
166 phrases
If You’re in Your Late 20s, Watch This | Raj Shamani
Daily ConversationWorking Adults
B22
192 phrases
Laid Off After 25 Years in Tech: The Anxiety, Sacrifice, and Reality No One Talks About
Daily ConversationWorking Adults
C132 phrases
Linus Torvalds Explains What Makes Linux So Fast
Daily ConversationUniversity StudentsWorking Adults
B21
169 phrases
Can This Vibe Coder Beat a Senior Developer?
Daily ConversationUniversity StudentsWorking Adults
B2274 phrases
17 Normal Jobs that People Actually Like
Daily ConversationWorking Adults
Vocabulaire et conseils d’expression pour cette leçon
Cette vidéo contient 261 phrases et 3332 mots à répéter en shadowing. La partie parlée dure 18:28. Le locuteur parle vite, environ 180 mots par minute : attendez-vous à des liaisons et à des sons réduits. 82 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.
Vocabulaire clé de cette vidéo
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| programmer nom | /ˈpɹoʊɡɹæmɚ/ | programmeur, programmeuse |
| mathematics nom | /mæθ(.ə)ˈmæt.ɪks/ | mathématiques |
| fundamental adjectif | /ˌfʌn.dəˈmɛn.təl/ | fondamental |
| transition nom | /tɹænˈzɪʃ.ən/ | transition |
| gravity nom | /ˈɡɹævɪti/ | gravité |
| necessarily adverbe | /ˌnɛs.əˈsɛɹ.ə.li/ | absolument, nécessairement |
| variable adjectif | [ˈvæɹ.i.ə.bl̩] | variable |
| leak nom | /liːk/ | fuite, voie d'eau |
| stack nom | /stæk/ | pile |
| pasta nom | /ˈpɑ.stə/ | pâtes, pâtes alimentaires |
| primitive nom | /ˈpɹɪmɪtɪv/ | primitif |
| merge verbe | /mɝd͡ʒ/ | fusionner, amalgamer |
| consistent adjectif | /kənˈsɪs.tənt/ | constant |
| elite nom | /ɪˈlit/ | élite |
| physics nom | /ˈfɪz.ɪks/ | physique |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| end up verbe | se terminer, se finir |
| turn out verbe | se finir, se terminer |
| cut out verbe | arrêter de |
| open up verbe | ouvrir |
| pay off verbe | soudoyer |
Prononciation à surveiller
Le locuteur utilise 86 contractions et formes réduites, comme I'm, don't, you're. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: mathematics /mæθ(.ə)ˈmæt.ɪks/, thoroughly /ˈθʌɹ.ə.li/, algorithm /ˈælɡəɹɪðm̩/, enthusiastic /ɪnˌθjuːzɪˈæstɪk/
- Les sons « sh » et « zh »: transition /tɹænˈzɪʃ.ən/, documentation /ˌdɑkjəmɛnˈteɪʃən/, hash /ˈhæʃ/, efficiency /ɪˈfɪʃ.ən.si/, acquisition /ˌæk.wɪˈzɪʃ.ən/
- Mots longs — placez bien l’accent: mathematics /mæθ(.ə)ˈmæt.ɪks/, fundamental /ˌfʌn.dəˈmɛn.təl/, necessarily /ˌnɛs.əˈsɛɹ.ə.li/, differently /ˈdɪf.ə.ɹənt.li/, documentation /ˌdɑkjəmɛnˈteɪʃən/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme programmer, mathematics, fundamental.
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | has been taken · is merged · was merged |
| Present perfect have/has + participe passé — une action passée qui compte encore maintenant | has been taken · i've adapted · haven't invented |
| Propositions relatives who / which + proposition — une précision sur une personne ou une chose | CLs, which is · person who likes · repo, which is |
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.