Python Tutorial

programming<--

Python Tutorial

Python is a high-level dynamic computer language. At this time is the most popular programming language according to Tiobe Index. Python was written by Guido van Rossum as a system scripting language. Many universities are using Python to teach programming concepts of Computer Science.

Course Scope

This tutorial is for very beginners. We have presented the language features in logical order with short examples and notes. We will improve this course using AI. The course will grow from beginner to intermediate level. Python is good entry level language. We will cover fundamental concepts of programming usin Python.

Text Articles

Next articles are organized like a book. At the end of each page there is a link for the next page. Every page has the index link on top right corner, that will bring you back here. If you wish to go back to a previous chapter, use the browser back button or the index below. If you are first time here, skip the index and read on the entire page. You will use the index later.

Course Index:

Video Collection

Here, you'll find a curated selection of highlights from my Twitch stream about Python. I recommend to register an account, follow me and subscribe. Watch on full screen with a tablet at heand to be able to scan QR codes for references. Enjoy your journey through this video collection!

▶ Watch Now

Python Issues:

Python is a great language if you use it for the right project. It is a productive language, but you should be aware of several limitations before choosing to use Python. There are other languages much better alternatives to Python that we recommand for beginners.

Python is slow compared with other languages,
Python is vulnerable to tab and space indention issues,
Not having static types makes the language vulnerable to bugs,
The lack of a switch statement is a common complaint,
It lack tail-call recursion optimization,
Implementation of OOP is ugly compared to Java OOP,
Scoping using "global" and "nonlocal" is difficult to grasp,
Error messages are sometimes difficult to grasp: "Syntax error",
Python's multi-threading code is not very efficient.

Why is Python slow?

Python was designed to be "user friendly" that is why it is a dynamic typed language and not a static typed language. In dynamic languages you can change value and value type for a variable during runtime. This means there is no code optimization and there must be a garbage collector somewhere that slows down complex processes.

Another problem Python has is the GIL (global interpreter lock) this is hard to explain but it makes multi-core/parallel applications work slow. Actually this problem is resolved still for some reasons python multitasking is sluggish.

But… this it also depend on algorithms you are using. How much data you store in memory and how this data is organized. Python do not have Arrays like C, C++ and Java. Array require fix data length. In Python a collection can hold any kind of data: Numeric, String even other collections. So you can have a list of lists or a dictionary of lists. This is why Python is so slow. It uses dynamic lists.

Python examples

We have set-up several code snippets that you can clone from GitHub, investigate and modify. We have used these examples during the course. You can use replit or jupiter notebook, to create and run code on-line. Feel free to explore:

External Code:

Other Resources

Making a large project in Python require practice. Professional developers work locally on desktop computers and laptops. You can setup Python interpreter on your computer. Also there is a nice IDE available called IDLE. To make advanced projects in Python I recommend PyCharm IDE editor that has a community edition.

Python - Prep Quiz

Next quiz has 100 questions, each question value one point. It is special designed for a mobil device. You can click, tap or scan the image below to start. This quiz does not have time limit, but it requires you to sign-in using your Google account. Break a leg!

Python Quiz

Privacy Terms: We do not collect your e-mail address but we record your name with the test results on Google drive. If you get more than 80% we will recognize your skill and will endorse you on Linked-in. If you don't agree, you can use name: Anonymous but then we can't endorse your new skills.

Thank you for considering my course. Not yet but soon we will create a Python book. Until we do, let's get started with the text articles. Click the link below to start learning now! Take the quiz after you have finish learning and brag about your result on social media.

Start learning: Python Syntax