Python: A Brief History, Learning Resources and Project Ideas
Python is a widely-used general-purpose, high-level programming language. It was initially designed by Guido van Rossum in 1991 and developed by Python Software Foundation. It was mainly developed for emphasis on code readability, and its syntax allows programmers to express concepts in fewer lines of code.
A Brief History of Python
Python was conceived in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands as a successor to the ABC programming language, which was inspired by SETL, capable of exception handling and interfacing with the Amoeba operating system. Its implementation began in December 1989.
Van Rossum named Python after the BBC TV show Monty Python’s Flying Circus, as he was a big fan of the TV show and also he wanted a short, unique and slightly mysterious name for his invention. He was the “Benevolent dictator for life” (BDFL) until he stepped down from the position as the leader on July 12, 2018.
Python reached version 1.0 in January 1994. The major new features included in this release were the functional programming tools lambda, map, filter and reduce. By version 1.4, Python had acquired several new features, such as keyword arguments, built-in support for complex numbers, and basic form of data hiding by using leading underscores in class members.
Python 2.0 was released on October 16, 2000, with many major new features, including a cycle-detecting garbage collector (in addition to reference counting) for memory management and support for Unicode. However, the most important change was to the development process itself, with a shift to a more transparent and community-backed process.
Python 3.0, a major, backwards-incompatible release, was released on December 3, 2008 after a long period of testing. Many of its major features have also been backported to the backwards-compatible Python 2.6 and 2.7. Some of the notable changes in Python 3 are:
- Print is now a function instead of a statement
- Integer division returns a float instead of truncating
- Strings are Unicode by default
- New syntax features such as the nonlocal statement, the yield from expression, extended tuple unpacking, and keyword-only arguments
- Removed features such as old-style classes, implicit relative imports, and <> operator
Learning Resources for Python
There are many free online resources to learn Python, ranging from tutorials, books, videos, courses, and interactive platforms. Here are some of the popular ones:
- LearnPython.org : An interactive Python tutorial that covers the basics and some advanced topics of Python.
- Google’s Python Class : A free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises.
- Automate The Boring Stuff : A book that teaches you how to use Python to automate various tasks such as web scraping, working with files and spreadsheets, sending emails and texts, etc.
- Python Land Tutorial : A collection of free Python learning resources aimed at beginners.
- Qubit Labs : A list of 30 free resources to learn Python online.
Project Ideas for Python
One of the best ways to learn Python is to apply it to real-world problems and create your own projects. Here are some ideas for beginner-friendly projects that you can try:
- A calculator: A simple program that can perform basic arithmetic operations on user input.
- A hangman game: A word guessing game where the user has to guess a secret word by entering letters one by one.
- A tic-tac-toe game: A two-player board game where each player marks an empty cell with either X or O and tries to form a horizontal, vertical or diagonal line of three marks.
- A web scraper: A program that can extract data from web pages and save it to a file or database.
- A password generator: A program that can generate random and secure passwords based on user preferences.
- A chatbot: A program that can simulate a conversation with a human user using natural language processing techniques.
- A quiz app: A program that can present multiple-choice questions to the user and keep track of their score.
- A weather app: A program that can fetch and display the current weather information for a given location using an API.
- A to-do list app: A program that can help the user manage their tasks and deadlines using a graphical user interface.
- A text summarizer: A program that can generate a short summary of a given text using natural language processing techniques.