Professional Python for Embedded
Within the embedded computing sphere, the programming language C has long been considered the standard. However, more complex applications and faster time-to-market requirements call for alternatives.
Traditionally used for web and desktop applications, Python offers such an alternative, thanks to its support for C/C++ libraries and the provision of frameworks for processing complex algorithms. Those associated frameworks enable the development of complex algorithms used across data analytics, Machine Learning (ML), and Artificial Intelligence (AI) applications. Of course, these applications are hot topics within embedded computing and are driving the adoption of Python, especially within the Industrial Internet of Things (IIoT) at the edge.
Xilinx® offers an open source framework (PYNQ) that allows Python to interact with the Zynq® portfolio. This is realized by hybrid libraries, which are a new form of libraries. Such a hybrid library includes both a bit-stream and the associated hardware-related C code, but also an Application Programming Interface (API) for Python. In this course, you will learn the basics of programming with Python, which you will use in a workshop. You will then be able to develop prototypes based on Python on embedded systems in a short time. As an attendee of the extended workshop, you will also receive a profound training in the use of libraries to process large data, which will form the basis for application development in the field of AI, ML, and Big Data.
Due to accompanying exercises, the course offers in-depth and practice-oriented training. Attendees of the online live course will do the practical exercises in the afternoon on their own.
Course language: English
Contact
Michael Schwarz
+49 7664 91313-15
Details
Applicable technologies
Python, PYNQRequirements
Basic knowledge on OOPDuration
5 daysFee (net per person)
€ 2,800Inclusive
Training materialDownloads
Download PDFAgenda
01
Introduction
Environment setup
Reasons to use Python
The use of Jupyter
02
Development with Python
Variables
Types, I/O, and import
Operators and namespace
Datatypes
03
Flow control
Statements
Loops
04
Functions
Function and argument
Recursion
Modules and packages
05
Objects and classes
OOP
Inheritance
06
Advanced
Iterators and generators
Dekorators and closures
07
Data analysis with Python
Structures and sorting
Operators and algorithms
Statistics
08
Embedded hardware
PYNQ architecture
Board setup
09
Libraries
CTypes
10
Workshop - applications
GPIO app
Face and eye detection
HDMI streaming and processing
11
FPGA
Creation of a custom overlay (Vivado®)
Dates
Professional Python for Embedded
OL
all year on request
Available formats for this training
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How can we help?
Contact
FAQ
01. Can you help me with reserving the room?
If you need a room for a face-to-face course, please contact us. We will support you in choosing suitable accommodation.
02. What times in the day do courses start and end?
Our face-to-face courses start daily at 9 a.m. (CET/CEST) and end at 5 p.m., with two coffee breaks and an extended lunch break. The total course time per day is 6 hours. For online courses, the start is also at 9 a.m. (CET/CEST), but they end at 2:30 p.m.. The total course time per day is 4 and a half hours plus breaks.
03. Are course materials provided?
All participants of paid courses will receive English training materials in electronic or paper form.
04. Will I receive a course certificate?
Each participant of a paid PLC2 course will receive a signed certificate of attendance at the end of the course.
05. Can I pay with Training Credits (TCs)?
Of course, you can also pay for your training using your available TCs (Training Credits). We will then invoice AMD directly. If you do not have sufficient credit for the booked training, the difference can be paid for with an additional payment. The additional charge will be invoiced directly to you.
06. What are the options for payment?
You can pay us via bank transfer or with TCs (Training Credits). Unfortunately, payment via debit, credit card, or PayPal is not possible.
07. What is the deadline for payment?
Payment is due 14 days after the invoice date, without deduction. Please transfer the amount within that time.
08. What are the options for cancelling?
You can cancel free of charge up to 14 days before the course starts. If you have to cancel at short notice due to illness or other reasons, you have the option of adding a substitute participant or of making up the course at a later date (within 6 months).
09. When will I receive a firm commitment as to whether the course will take place?
You will receive binding confirmation 7 days before the course begins as to whether it will go ahead.
10. How many participants are required for a course to be given/what is the minimum number of participants?
We generally offer courses for 5 or more people. That means that if you would like to book a course at your premises, you need 5 people to register or need to pay the amount for 5 participants, even if fewer people attend.
11. Can I book a course that is given in English?
If you need a course that is officially advertised as given in German to be given in English, please contact us. We will try to make that possible for you.
12. What language is the course in?
Our webinars and online courses are conducted in English. All our F2F training courses are generally conducted in German. Feel free to contact us if you need face-to-face training in English or online training in German.