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‎README.md

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# Complete Python Course | Learn Python by Doing in 2022
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<p align="center">
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<img src="assets/course-image.png" alt="Complete Python Course | Learn Python by Doing in 2022 (Udemy banner image)"></a>
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</p>
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<div align="center">
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[![Udemy rating 4.6/5](https://img.shields.io/badge/udemy-4.6%2F5-brightgreen)](https://go.tecla.do/cpc) ![GitHub last commit](https://img.shields.io/github/last-commit/tecladocode/complete-python-course) ![Python 3.10](https://img.shields.io/badge/python-3.10-yellow) [![Discord](https://img.shields.io/discord/614395983807250433)](https://discord.gg/78Nvd3p) [![Twitter Follow](https://img.shields.io/twitter/follow/jslvtr?style=social) ](https://twitter.com/jslvtr)
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</div>
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---
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<p align = "center">💡 A 35-hour mega course to take you from beginner to advanced in Python.</p>
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## Getting started
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Enrol in the course by going to [this link](https://go.tecla.do/cpc).
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Then come back here and download the entire repository. If you are familiar with Git, you can use Git to download it. Otherwise, you can download it as a zip file:
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![Download repo as a zip file](assets/download-repo-zip.png)
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Next, start taking the course at the beginning! You can use the downloaded code files to support you while you go through the course.
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I also **strongly recommend** you code while you take the course. A good strategy is:
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1. Watch the video intently, optionally while taking notes.
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2. Watch again, more quickly, while typing the code together with me.
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3. Once you're done with the video, play about with the code. Make changes, break things, then fix them, and try to thoroughly understand everything the code does.
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If you do this for the entire course, I guarantee you will learn Python well. You'll still be using Google and searching for stuff every day, but so does everyone else!
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## Topics
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We cover many contents in the [video-course](https://go.tecla.do/cpc), but this repo has (almost) all the code we write, per lecture. Where relevant, there is also code for projects taught in the course.
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- [Python Intro](course_contents/1_intro)
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- Variables, numbers
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- String formatting
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- User input
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- Booleans
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- Lists, tuples, sets
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- Dictionaries
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- [Python fundamentals](course_contents/2_intro_to_python)
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- If statements
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- Loops
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- Destructuring
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- Iteration
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- `Break` and `continue`
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- Slicing
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- List, set, and dictionary comprehensions
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- `zip` and `enumerate`
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- Functions
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- Arguments, parameters, and return values
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- Default parameter values
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- Lambda functions
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- [Object-Oriented Programming (video-course only)](https://go.tecla.do/cpc)
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- [Python errors](course_contents/5_errors)
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- [Working with files](course_contents/6_files)
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- [Type hinting (video-course only)](https://go.tecla.do/cpc)
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- [Advanced Python Development](course_contents/10_advanced_python)
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- [Web Scraping](course_contents/11_web_scraping)
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- [Browser Automation with Selenium](course_contents/12_browser_automation_selenium)
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- [Async Development with Python](course_contents/13_async_development)
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- [Managing Projects with Pipenv](course_contents/14_managing_projects_pipenv)
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- [Flask and Web Development](course_contents/15_flask)
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- [Interacting with APIs using Python](course_contents/16_interacting_with_apis)
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- [Decorators (YouTube mini-course, otherwise video-course only)](https://blog.teclado.com/decorators-in-python/)
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- [Advanced OOP](course_contents/18_advanced_oop)
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- [GUI Development with Tkinter](course_contents/19_gui_development_tkinter)
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- [Unit testing](course_contents/20_unit_testing)
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- [Algorithms and Data Structures](course_contents/21_algorithms_data_structures)
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- [Useful Python libraries](course_contents/22_popular_libraries)

‎course_contents/10_advanced_python/README.md

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# Advanced Python Development
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In this section of the course we look at some advanced Python features, such as:
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- Mutability
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- Default parameter values and how mutability plays into that
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- Argument unpacking
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- Python collections
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- Working with dates and times
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- Timing your code
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- Regular Expressions
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- Higher order functions and decorators

‎course_contents/11_web_scraping/README.md

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# Web Scraping
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In this section we look at web scraping using Python and the `requests` library.
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First we learn about HTML and its structure, and how we can let Python understand it.
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Then we build two scraper projects using `BeautifulSoup4`.

‎course_contents/12_browser_automation_selenium/README.md

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Download it from http://chromedriver.chromium.org/. Make sure to download the version for your browser (e.g. v74 if you're using Chrome v74).
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Place the de-compressed executable, `chromedriver`, into a folder. Remember the folder's path, as you'll need it after.
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## Recap
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‎course_contents/13_async_development/README.md

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# Async Development with Python
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Python is a single-threaded language, which means that asynchronous development can sometimes be tricky.
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In this section we learn about multi-processing, multi-threading, and async development using coroutines and the `async` and `await` keywords.
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These three different types of asynchronous development each have their strengths and weaknesses, so it's important to understand them all.

‎course_contents/14_managing_projects_pipenv/README.md

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# Managing projects with Pipenv
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In this section we briefly look at managing your project dependencies using Pipenv.
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Please read the [Pipenv PDF](using_pipenv.pdf) for more information.

‎course_contents/15_flask/README.md

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# Web Development with Flask
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In this section we learn about making websites using the Flask framework, HTML, and Jinja.
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We build a project, which you can see broken down into steps inside [the project folder](projects/first-flask-app-lectures/).

‎course_contents/15_flask/projects/first-flask-app-lectures/README.md

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The completed project can be seen at https://github.com/tecladocode/first-flask-app.
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The various files in this project, numbered from 1 onwards, represent different steps in implementing this first Flask app, as covered in our comprehensive Python course: [The Complete Python Course](https://www.udemy.com/the-complete-python-course/?couponCode=GITHUB).
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The various files in this project, numbered from 1 onwards, represent different steps in implementing this first Flask app, as covered in our comprehensive Python course: [The Complete Python Course](https://go.tecla.do/cpc).

‎course_contents/16_interacting_with_apis/README.md

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First two parts recapped here: https://blog.tecladocode.com/how-to-interact-with-apis-using-python/
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### Caching
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## Caching
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Can use something like `functools.lru_cache` for caching function calls. That is, if you apply this decorator to a function and then you call the function with the same arguments 10 times, 9 of them will be really quick and the function won't evaluate.
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‎course_contents/18_advanced_oop/README.md

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# Advanced Object-Oriented Programming with Python
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In this section we look at some more advanced OOP concepts, such as multiple inheritance, abstract classes, interfaces, and properties.
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These are not things you'll use very often, but they are tools in your arsenal which can come in handy!

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