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Hi there.

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Today, we're going to talk about words you can use Python for.

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That will help you position yourself in the industry.

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So perhaps your thoughts are not yet clear what you want to do with Python and this video will help

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you.

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So I'll go over all the areas where Python can be used.

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We will start with the most popular.

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Areas, and one of them is web development.

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How can Python be used in web development?

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Well, when we say web development, we mean building websites or web apps.

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Now, what is the difference between a website and a web app?

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Well, a website is generally.

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Something that is more static, such as the website of a company where they show some information about

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the company, the services, the stuff, etc. and the web app is something more interactive.

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For example, you want to create a web app that lets the user upload some PDF, and then your web app

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merges those PDFs.

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Giving the users one single pdf which they can download from the web app.

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So a website and a web app are both accessible from the user's browser.

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To build websites and web apps, you will need a Python web framework such as Flask or Django.

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So in this course, we will work on web development.

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So don't worry.

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Perhaps if you want to go more advanced after finishing this course, then you might want to refer to.

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The documentation of Flask and Django to actually advance your skills even further.

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So this goal, this course, will prepare you.

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To be a good programmer in core Python concepts, but also areas such as web development.

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Udemy dot com, for example, is based on Django.

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Python hull dot com, which is my blog is also built in jungle.

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So, for example, this certain web page of the app has all these topics.

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So all these titles are stored in Python lists in a dot one script.

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So all of these are strings.

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And then I use Django to render them basically on this Web page.

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Not with web development.

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You also need to learn other languages and not just Python, so you will need to learn HTML first.

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HTML is used to create.

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All the boxes.

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The fonts.

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Everything that you see visually on the web page is written in HTML, but then the content itself,

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such as this here, that one, it is stored in Python as strings and lists, as I just explained.

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And then Python sends those.

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Strings those lists to the HTML.

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So HTML is something.

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Then you need to learn CSS.

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With CSS, you can do nice things such as you can around the corners of this button here.

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You can apply nice colors.

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So basically you want the web page to look modern and CSS does that.

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Both HTML and CSS are actually very easy to learn, so don't worry about that.

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Then you might need to learn JavaScript.

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Depending on what you're doing, you can get away without it.

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Perhaps, but sometimes you might want to have some interactivity on the front end.

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For example, if I search for.

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Pandas here.

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All these things that show here are implemented with JavaScript.

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So instant results.

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These are provided by the browser.

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So JavaScript runs on the user's browser.

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And so in this case, JavaScript is asking the Python code base to get those.

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Items and displayed on the HTML code.

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And so those are the languages you need to know for web development.

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So Python, HTML, CSS, and JavaScript.

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Next item Data Science, Machine Learning and A.I. A.I., which is artificial intelligence.

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So that's the other popular use of Python.

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Python can be used to.

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Process big datasets, which is common in data science.

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It can be used to create predictive models, which is part of machine learning and AI.

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For example, let's think about Amazon.

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When the user searches for something there, the user will get some other recommendations.

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So all these recommendations can be suggested and Python can be used to actually learn from the user

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searches and get from the database existing products that are most likely to be bought to be purchased

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by the user.

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So that is a recommendation system which can be built in Python.

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Google search results are another example.

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Say you search for?

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Why are beds flat?

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And then the next search you do will perhaps be affected by the previous search.

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So maybe when you start searching on Google, Google will suggest you, oh, maybe you mean this.

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So it does learn from your searches and so on.

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With data science, machine learning, and A.I..

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Besides Python, you also need some basic knowledge or good knowledge of mathematics.

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So python and math are both to requirements to be a data science's next field.

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You can use Python for its automations and this can vary a lot, so you can do things from generating

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PDF reports automatically like generating ten thousands of of of them based on some information you

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get somewhere else in text files, etc. Maybe you want to send batch emails, you want to schedule those

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emails.

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So Python is excellent for automating things.

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Basically, if you go through this course, you will be very good in automating everything.

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So I'll take you through all the core python skills and you also learn how to search and how to create

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your own programs.

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So you will get that sort of training to be able to independently write anything by yourself.

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I also have another course on Udemy, which is exclusively for automating stuff and you can find the

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link in the lecture resources here.

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So that's like a big recipe of Python scripts.

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The next field is general programming, which is somehow related to this automation's field.

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So with general programming, I mean, when Python is used by professionals, which are not programmers,

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but you perhaps are.

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A network admin.

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So you can use Python for different aspects of your work.

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Maybe you work on finance and again, you need core python skills.

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To create certain batch reports or analysis.

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So nowadays Python.

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Is becoming a mos for many professions.

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Just like it was with Excel before.

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Now Python can be a very good addition to your skill sets.

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Web scraping.

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Web scraping is a very specific area, and it is mainly used by freelancers.

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Especially on online networks such as Upwork or Fiverr, Elance Freelance and dot com.

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So it's quite a niche.

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And with web scraping, basically web scraping is when you have a website which has these data and you

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want those data in an Excel file.

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So in a good structure, format and Python, you can write a Python script which will go to that website

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and get those data and store them in an Excel file or file or in a CSV text file wherever the client

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needs.

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So again, the boundary between general programming and automation and web scraping.

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It's a bit blurred, so.

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Web development and data science, Machine learning and AI are more specific.

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Career paths.

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So to say.

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And you also have all the fields you can use Python for, for example, data analysis if you are a data

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analyst.

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And visualization as well.

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And you can create Python desktop apps using the Python programming language.

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That is not the best area where Python excels in because there are other programming languages which

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are better for that, such as Java and C.

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So Python is best for web development, design, machine learning, A.I. and automations and general

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programming web scraping as well.

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And some people also use Python to create and sell APIs.

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So that is an overview of what you can use Python for.

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I hope that's positions you a bit better.

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In the field of programming.

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And I thank you for following this.

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I'll see you later.