Python Beginners

For students who are learning Python3, with only intermediate JavaScript skills at the start
Alternatives To Python Beginners
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
11 days ago15
Python Books && Courses
Learn Python152
5 years ago
Python Top 45 Articles of 2017
a day ago5gpl-3.0Python
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
Awesome Python Primer78
10 months agomitPython
自学入门 Python 优质中文资源索引,包含 书籍 / 文档 / 视频,适用于 爬虫 / Web / 数据分析 / 机器学习 方向
Jbin Website Secret Scraper70
a year agomitJavaScript
Jbin will gather all the URLs from the website and then it will try to expose the secret data from them such as API keys, API secrets, API tokens and many other juicy information.
3 days ago2September 01, 202259gpl-3.0Python
Farm operated by bots to grow and harvest new zim files
Python Adv Web Apps61
2 months ago1mitPython
Updated python-beginners docs and examples
5 years ago1HTML
:soccer: Instantly find :trophy:EURO 2016 live-streams & highlights, now a Web App!
Scrapy Flask Imdb Python44
8 years ago2Python
Python project scraping imdb and web application implemented using Flask.
a year agoPython
API for fetching data from news websites.
Alternatives To Python Beginners
Select To Compare

Alternative Project Comparisons

Python Beginners

Used in conjunction with the book Automate the Boring Stuff with Python, by Al Sweigart (2015). There is a link to download his code under "Additional Content" on that page.

Since 2012, I have been teaching Python to journalism students. I used to use a set of tutorials called Learn Python the Hard Way. I sought a new set of instructions suitable for my students, whose previous experience with programming is recent and limited to client-side JavaScript.

I adopted Sweigart’s text in 2017 after examining several others. I’m really pleased with the way he introduces the basics of Python 3. I decided to abandon Python 2 in 2017, and it’s great to have found a beginner text that explains enough but not too much. I love Sweigart’s style and his examples.

The one thing I dislike in Sweigart’s book is his assumption that we would be using IDLE. We write our code in Atom and run it in Terminal (or PowerShell on Windows).

One-time how-to documents

About this repo

Below you'll see an overview of the contents. Within each folder, you'll find a README and example Python files. In the course, we cover web scraping with Python and also web apps using the Flask framework. Inside the web_scraping folder and the flask folder here, you'll find a lot more information and examples.

In the course, we spend about four weeks on scraping and another four weeks on Flask.

Here is the week-by-week schedule for the course. Python starts in week 5 there.

Week 01

Students read chapters 1 and 2 in Sweigart. Some scripts in the week01 folder are based on Sweigart’s — naturally, he has more examples than only these. See the README in the week01 folder for more information.

Example files in this folder cover if-statements, for-loops, while-loops, and random.randint. Also (very basic): print(), input(), len().

Week 02

Students read chapter 3, “Functions,” in Sweigart. See the README in the week02 folder for more information.

Example files in this folder cover functions, arguments, the return statement, scope of variables, and exception handling: try/except.

Writing modular code is not only a good practice; it also helps you to write functions you can test reliably and reuse in future work. See modular-code in the week02 folder for more information.

Week 03

Students read chapters 4 and 8 in Sweigart. See the README in the week03 folder for more information.

Example files in this folder cover loops and lists, and how to open, read, and close files.

Chapter 4 covers just about everything one needs to know about Python lists. The README highlights some of the methods, etc., we will use most often, including some things Sweigart does not cover.

Chapter 8 covers reading and writing files with Python. The information we need most often is on pages 180-183. There are a couple of things not covered that I have explained in the README.

Week 04

Students read Chapters 5 in Sweigart and learn about Python dictionaries. See the README in the week04 folder for more information.

Jupyter Cheat Sheet

Students use Jupyter Notebook to complete several assignments. The cheat sheet is helpful after Jupyter Notebook has been installed and they need to launch it, save their work, and close it correctly.

Web scraping

Students are introduced to web scraping with the BeautifulSoup library in the second week. See the README in the web_scraping folder for instructions to install BeautifulSoup, as well as some basic uses of this scraping library.

Mitchell, chapter 3

The README in the mitchell-ch3 folder supplements chapter 3 in Web Scraping with Python, by Ryan Mitchell. The chapter is very challenging for beginners, so here are a couple of .py files and examples to ease the way.

Example files are included for scraping all URLs from a page, and for scraping the same data items from numerous pages, using a list of URLs.

Mitchell, the rest of the book

The README in the more-from-mitchell folder highlights the points we cover in our third week with Web Scraping with Python, by Ryan Mitchell. We don’t have time to read the entire book, so we need to jump around and get acquainted with some common scraping problems and their solutions.

This section includes using Selenium, HTTP headers, writing scraped data to CSV files, the sleep timer in Python, and parsers.

Example files are included for writing scraped data to CSV files and to a MySQL database, using Selenium, and sending email from a Python script.


Students are introduced to Flask, a Python framework, in the fifth week of Python. See the README in the flask folder for details.

This section has several parts, explaining templates, app deployment, Flask-WTF forms, and Flask-SQLAlchemy for database apps.

Popular Flask Projects
Popular Scraper Projects
Popular Frameworks Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.