Python is an open source and cross-platform programming language, that has become increasingly popular over the last ten years. It was first released in 1991. CPython is the reference implementation of the Python programming language. Written in C, CPython is the default and most widely-used implementation of the language.
Python is a mult-purpose programming languages (due to its many extensions), examples are scientific computing and calculations, simulations, web development (using, eg., the Django Web framework), etc.
The programming language is maintained and available from (Python Software Foundation):
Here you can download the basic Python features in one package, which includes the Python programming language interpreter, and a basic code editor, or an integrated development environment, called IDLE.
Below you find Python Resources within different Topics:
Read the following textbooks for more information about Python (just click the cover images below in order to open and download the different textbooks):
Python Programming
ISBN: 978-82-691106-4-7
Python Programming is a textbook in Python Programming with lots of Practical Examples and Exercises. You will learn the necessary foundation for basic programming with focus on Python. This textbook is written in LaTeX.
You find Source Code and additional Resources below.
Resources
Below you find different resources that explaining and complements the different Python topics and examples within the textbook:
You find also all the videos above in this YouTube Playlist (Python Programming)
Not all resources are ready at the moment, but new resources are released continuously. Stay tuned!
Python for Science and Engineering
ISBN: 978-82-691106-5-4
Python for Science and Engineering is a textbook in Python Programming with lots of Examples, Exercises, and Practical Applications within Mathematics, Simulations, etc. The focus is on numerical calculations in mathematics and engineering. Necessary theory is presented in addition to many practical examples. This textbook is written in LaTeX.
You find Source Code and additional Resources below.
Resources
Below you find different resources explaining and complements the different Python topics and examples within the textbook:
You find also all the videos above in this YouTube Playlist (Python for Science and Engineering)
Not all resources are ready at the moment, but new resources are released continuously. Stay tuned!
Python for Control Engineering
Python for Control Engineering is a textbook in Python Programming with lots of Examples, Exercises, and Practical Applications within Mathematics, Simulations, Control Systems, DAQ, Database Systems, etc. The focus is on the use of Python within measurements, data collection (DAQ), control technology, both analysis of control systems (stability analysis, frequency response, ...) and implementation of control systems (PID, etc.). Required theory is presented in addition to many practical examples and exercises in Python. This textbook is written in LaTeX.
This textbook is available as an "Early Preview" edition.
You find Source Code and additional Resources below.
Resources
Below you find different resources explaining and complements the different Python topics and examples within the textbook:
You find also all the videos above in this YouTube Playlist (Python for Control Engineering)
Not all resources are ready at the moment, but new resources are released continuously. Stay tuned!
Python for Software Development
Python for Software Development is a textbook in Python Programming with lots of Examples, Exercises, and Practical Applications within Software Systems, Software Development, Software Engineering, Database Systems, Web Application Desktop Applications, GUI Applications, etc. The focus is on the use of Python for creating modern Software Systems. Required theory is presented in addition to many practical examples and exercises in Python. This textbook is written in LaTeX.
This textbook is available as an "Early Preview" edition.
You find Source Code and additional Resources below.
Resources
Below you find different resources explaining and complements the different Python topics and examples within the textbook:
Python Fjango, Flask, etc. Tutorials and Videos may come later.
You find also all the videos above in this YouTube Playlist (Python for Software Development)
Not all resources are ready at the moment, but new resources are released continuously. Stay tuned!
Raspberry Pi and Python
Raspberry Pi and Python is a textbook where you learn about Raspberry Pi and Python Programming with lots of Examples, Exercises, and Practical Applications. The focus is on the use of Python in combination with Raspberry Pi. Required theory is presented in addition to many practical examples and exercises in Python. This textbook is written in LaTeX.
This textbook is available as an "Early Preview" edition.
You find Source Code and additional Resources below.
Resources
Below you find different resources explaining and complements the different Python topics and examples within the textbook:
Python is installed by default as a "system-wide" installation as part of the Raspberry Pi OS and by default in the latest version of Raspberry Pi OS you cannot install Python packages in the global Python ("system-wide" installation) environment on Raspberry Pi OS. This is due to security reasons and the fact that you can destroy this environment by installing new packages which can cause other programs on Raspberry Pi OS to no longer work.
You have then several options when installing Python packages on Raspberry Pi:
Alt 1. You can run "sudo apt-get install python3-packagename" from the Terminal in Rasperry Pi OS to still install packages "system-wide".
Alt 2. You can create a new Virtual Python Environment on the Raspberry Pi. This is the recommended alternative as you do not destroy other programs or the system-wide Python environment. This can be done in several ways, but the easiest way is to do it from the graphical environment in Thonny, alternatively from the Terminal.
Alt 3. You can switch off the default setting which allows you to install Python packages "system-wide" in the usual way using pip/Terminal or from Thonny.
You find also all the videos above in this YouTube Playlist (Raspberry Pi and Python)
Not all resources are ready at the moment, but new resources are released continuously. Stay tuned!
Internet of Things with Python
Internet of Things with Python is a textbook where you learn about Internet of Things (IoT) and Python Programming with lots of Examples, Exercises, and Practical Applications. The focus is on the use of Python in Internet of Things Applications. Required theory is presented in addition to many practical examples and exercises in Python. This textbook is written in LaTeX.
This textbook is available as an "Early Preview" edition.
You find Source Code and additional Resources below.
Resources
Below you find different resources explaining and complements the different Python topics and examples within the textbook:
You find also all the videos above in this YouTube Playlist (Raspberry Pi and Python)
Not all resources are ready at the moment, but new resources are released continuously. Stay tuned!
Note! These are "working documents" that are more or less updated continuously with new contents. See the Questions and Comments section if you have questions, if you find bugs or want new topics, examples, etc.
Python Resources
Below you find lots of resources regarding Python.
Rather than having all of its functionality built into its core, Python was designed to be highly extensible. This approach has advantages and disadvantages. An disadvantage is that you need to install these packages separately and then later import these modules in your code.
These packages need to be downloaded and installed separately, or you choose to use, e.g., a distribution package like Anaconda.
Some important packages are:
NumPy - NumPy is the fundamental package for scientific computing with Python
SciPy - SciPy is a free and open-source Python library used for scientific computing and technical computing. SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
matplotlib - Matplotlib is a Python 2D plotting library
Lots of other packages exists, depening on what you are going to solve.
Anaconda
Anaconda includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science.
Spyder and the Python packages (NumPy, SciPy, matplotlib, ...) mention above +++ are included in the Anaconda Distribution.
Python Editors
An Editor is a program where you create your code (and where you can run and test it). Most Editors have also features for Debugging.
For simple Python programs you can use the IDLE Editor, but for more advanced programs a better editor is recommended.
Examples of Python Editors:
Spyder - Part of Annaconda Distrbution. Here you get all the most used Python Libraries/Packages included
Visual Studio Code - Simple and very good multipurpose Code Editor for Python and many other Programming Languages.
Thonny - A very simple and basic Python Editor. Highly recommended! Here you can easily install Python Libraries/Packages using a Graphical User Interface (no PIP commands needed)
Visual Studio - Typically used for C# Programming in form of Windows Desktop Applications and ASP.NET Web Applications, but you can also use it for Python Programming. Windows only.
Spyder
Spyder is an open source cross-platform integrated development environment (IDE) for scientific programming in the Python language.
Python IDE for beginners. A very simple and basic Python Editor. Highly recommended! Here you can easily install Python Libraries/Packages using a Graphical User Interface (no PIP commands needed). Thonny is also the default Python Editor on the Raspberry Pi OS.
Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft. It is used to develop computer programs, as well as websites, web apps, web services and mobile apps. The deafult (main) programming language in Visual studio is C#, but many other programming languages are supported.
Visual studio is available for Windows and macOS.
Visual Studio (from 2017), has integrated support for Python, it is called "Python Support in Visual Studio".
MATLAB is a tool for technical computing, computation and visualization in an integrated environment. MATLAB is an abbreviation for MATrix LABoratory, so it is well suited for matrix manipulation and problem solving related to Linear Algebra, Modelling, Simulation and Control applications, etc...
Go to my MATLAB page in order to learn more about MATLAB.
