Although Python is an easy to learn and powerful programming language as it is known in common parlance, there is nevertheless need of a good introduction and tutorial on the Python language.

Why yet another documentation and tutorial on Python? Aren't there enough websites with tutorials and books dealing with Python? Isn't there already everything said about this great programming language?

These were the questions which came to our mind, when we started this website in June 2010. Yes, there are lots of tutorials and introductions, but we wanted to present a different approach, with other - more interesting - examples, better explanatory diagrams and so on. We had a lot to build on, above all the longstanding experience of Bernd Klein as a computer scientist and Python lecturer. Actually, this online course is based on the material from the classroom training courses of Bodenseo and his book on Python.

A short course that will teach you how to write Python scripts that can take advantage of the processing power of multicore processors and large compute clusters. While this course is based on Python, the core ideas of functional programming and parallel functional programming are applicable to a wide range of languages.

How to set up a private ethereum blockchain using open-source tools and a look at some markets and industries where blockchain technologies can add value.

By now, you have likely heard words like "bitcoin" and "blockchain," perhaps even "Ethereum," and wondered what they all mean.

Do they refer to something useful, and if so, how would you go about using it?

This article is intended to put meaning behind these words and others, by highlighting one instance of the technology behind the concepts.

Osquery is an open source Operating System monitoring, query, and analytics software. Created by Facebook, it exposes an operating system as a high-performance relational database that can be queried using SQL-based queries.

Osquery is a multi-platform software, can be installed on Linux, Windows, MacOS, and FreeBSD. Osquery allows us to explore the operating system profile, performance, security and many more metrics by using SQL-based queries.

This is version 1 of a cookbook that will help you check whether a data table (defined on the data tables page) is properly structured and free from formatting errors, inconsistencies, duplicates and other data headaches.

Cryptocurrencies have reached a record $185 billion in market value after the bitcoin surge, with the inevitable $200 billion mark right around the corner. For example, moving averages are used…

We've written a detailed guide on how to set up a GNU/Linux environment on any Android device. Useful for developers and users alike!

Simple swing trading strategy is a market strategy, where trades are held more than a single day. Click Here to Learn The Easy System.

The most thorough guide for how to trade with bollinger bands on the internet. Learn cutting edge bollinger bands strategies that cover everything from bitcoin to stocks.The guide has videos, real-life trading examples and custom visuals to help demystify and answer all of your questions on bollinger bands.

Great tutorial on the use of git.

Most Python developers have written at least one tool, script, library or framework that others would find useful. My goal in this article is to make the process of open-sourcing existing Python code as clear and painless as possible. And I don't simply mean, "create GitHub repo, git push, post on Reddit, and call it a day." By the end of this article, you'll be able to take an existing code base and transform it into an open source project that encourages both use and contribution.

While every project is different, there are some parts of the process of open-sourcing existing code that are common to all Python projects. In the vein of another popular series I've written, "Starting a Django Project The Right Way," I'll outline the steps I've found to be necessary when open-sourcing a Python project.

This tutorial does not attempt to be comprehensive and cover every single feature, or even every commonly used feature. Instead, it introduces many of Python’s most noteworthy features, and will give you a good idea of the language’s flavor and style. After reading it, you will be able to read and write Python modules and programs, and you will be ready to learn more about the various Python library modules described in The Python Standard Library.

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In 2015, I created a course called "How To Eliminate Your Procrastination and DOUBLE Your Productivity.