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In this lesson we will talk about some practical tips.

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If you are new to programming, even if you are not new to programming, some of these tips can be very

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interesting for you as well.

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The first thing to understand is that the artificial intelligence engineer doesn't know everything,

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but knows where to find the answers on a daily basis.

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We are faced with many doubts, problems and questions, and we have to go to different places and sources

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in order to find the responses.

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Right now, the number one assistant of the artificial intelligence engineer is called ChatGPT for.

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This is the best way to solve 99% of your problems.

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You are going to find a conversational assistant that can help you learn solve problems.

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Code review your code.

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Find errors in your code is an amazing assistant.

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The moment you start using chat GPT four, I think you will never end using it.

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You have also other tools like GitHub Copilot.

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In my opinion is not a recommendable in this stage.

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Chat GPT four, in my opinion, is your best, uh, your best assistant right now we will see some example

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using chat GPT four for you to get familiar with it.

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Years, uh, before a software engineers and artificial intelligence engineers used to use other tools

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like, for example, StackOverflow or Google, you know, to search and browse for problems, questions,

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etc. but today is chat GPT four in some cases.

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Excuse me.

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In some cases, you will have to go to the documentation of the programming language or the documentation

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of the programming framework.

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And always you find them online for free.

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So whenever you don't find a response and the a satisfactory response in a chat GPT four, you can go

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to the documentation of Python, Lang chain, Lamar index, etc..

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So in the cases of a most tools, ChatGPT is going to be the way.

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But in some cases, like for example, the last versions of Lang chain or the last versions of Lamar

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Index, you may find that ChatGPT is not not it doesn't have the the updated knowledge in order to answer

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some of your questions.

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So it will be better for you to go to the launching documentation or the Lamar Index documentation,

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or even try to find answers in their discord channels.

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The discord channels, as you know, are chat chats, uh, where you can talk with other engineers about

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one particular subject.

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So both Lang Chain and Lamar Index have discord channels where you can where you can engage in a conversation

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with other engineers.

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In my opinion, not the best way right now, if you don't find the answer in ChatGPT about Lang Chain

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and Lamar Index, probably the best way to go would be a the documentation launching and Lamar index

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documentation, or Google or StackOverflow.

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The discord channels there are still not too crowded, so they are not very practical.

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One of the questions we find at this stage a mac or PC.

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My answer.

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It doesn't matter.

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Sometimes they are different.

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Very small differences between the approaches with Mac or PC.

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But in 99.9% of the cases, you will do things exactly the same way if you are using a mac or a PC.

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I am using a mac for this course.

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I use Mac since I don't know many years ago, but you can follow the course perfectly with a PC.

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And if you find that the way we present in the course is not working in your PC, you know where to

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go.

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When in doubt, remember where to look for answers.

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Chat GPT four.

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Go there as the question.

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You will see that it will be solved very quickly for you.

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Sometimes we are also a.

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Faced with the question of a typewriting, is typewriting necessary to program?

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My answer to that is that it is not essential.

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But it is very helpful.

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Why?

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Because looking at the keyboard to type distracts you.

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You focus better if you don't have to look away from the screen.

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So my recommendation is if you if you can just learn how to type, you know, and in some cases you

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will find that you can find some, some tips, some tricks, you know to learn touch tip typing quickly,

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right?

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For example, in my case it was very useful to use a an online online game to practice typing.

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You know, I found I found a game, I think it was a $30 a game in the Apple Store to learn how to touch

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typing, you know, and it was very useful for me.

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And I also used the technique of the the blind people and put relief on my keyboard, you know, so

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I use some, some, some, some a a.

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I don't know what is the the name in English, but I use some pieces on top of my my keys, you know,

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in the keyboard for them to have a little relief.

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So when I touch them with the just with the touch, I can guess the, uh, the key I'm touching.

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So, uh, probably, you know that at the center of the keyboard, you have a couple of keys with some

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relief, you know, some some, uh, protuberance.

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They are higher than the other keys.

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So I use the same trick with some other keys, so I recognize easier and faster the different keys in

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the, in my keyboard.

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So I have all my keyboards with some, uh, little pieces, uh, that, that highlight the, the some

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of the, some of the keys.

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So probably you may find some tricks yourself to learn faster.

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If this is the, the case, is it necessary to know how to program in Python?

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I would say basic knowledge is required, such as what you can find online for free on sites like W3,

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Schools.com or in free or very cheap courses you can find online.

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But don't forget that your personal assistant, meaning Gpt4, knows how to program it, can teach you.

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It can answer your questions, it can write snippets of programs, and it can correct your programs.

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From there.

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With practice, you will increasingly master the parts of the Python language that you need most.

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And the same goes for everything else.

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Do you need to be special to program?

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Not at all.

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Anyone can program.

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It just requires a bit of study and practice.

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Programming is not an activity that requires mathematical knowledge.

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Don't obsess over prior study of programming languages.

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It's best and most effective to learn while practicing.

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While practicing.

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And remember, junior software engineers also consult ChatGPT for Google and StackOverflow on a daily

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basis.

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Our recommendation will be that you take it with an Olympic spirit.

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And remember, the keys to the Olympic athlete are perseverance, daily training, passion for learning,

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competing, healthy and improving.

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Continuous study.

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Learning from the best.

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Breaking along distance into many short distances prevents burnout.

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And remember.

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Cheer up.

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We have all been beginners.

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What is going to be our teaching method.

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We will use technical sources.

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We will explain them simply.

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We will do multiple exercises.

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We will use simple tools and we will tell you where you can find more information.

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Our final advice.

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Everyone has an optimal way to learn.

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You will know yours better than anyone else.

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Online courses require greater perseverance from the students.

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Take notes while watching the lessons.

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Stop the video and rewind as many times as you need, and at the end, make your own summary of the

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theoretical part and experiment on your own with the practical parts.

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Avoid going too fast.

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Give yourself time to practice and assimilate.

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We are going to use Jupyter Notebooks as our main tool during the beginning of the program.

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Jupyter Notebooks is the future for programmers and very easy to learn on the go, both for writing

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markdown and code.

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Some engineers use editors like Visual Studio Code or environments like Anaconda.

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Our advice at this stage is to keep this front as simple as possible.

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Initially, we recommend to use Jupyter Notebooks.

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Later we will go to editors like Visual Studio Code.

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Jupyter notebooks.

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Error messages are not always clear, so remember where you need to look for answers whenever you have

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a problem or a doubt with Jupyter notebooks or any other device.

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Go to ChatGPT for.

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We will teach you basic techniques.

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From there, you can continue learning techniques to improve markdown and code, as well as extensions

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for Jupyter notebooks.

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So in this lesson we have told you some practical tips.

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Good if you are new to programming and also interesting if you are an expert.

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In the next lesson we will talk about virtual environments.

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What are virtual environments and why it is interesting to use them.

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In this program we will explain you how to do it.

