Training Python Academy

Training goals dlearning

Learning how to adapt Python potential in creating efficient solutions to every-day engineering and scientific problems. Overwiew of scientific and technical libraries for Python and methods of data persistence. Getting known with NumPy and SciPy - numerical libraries developed to serve huge amount of high quality, boilerplate code. Using Matplotlib and MayaVi for clear visualisation of experiment results.

Many problems that scientists and engineers need to solve require some kind of programming. Python is getting increasingly popular among this kind of users. One reason is the relatively little effort compared to the results. For people who only program occasionally Python is also a good choice. Even after a longer time without touching Python source it can still be read and understood with little effort.

Conspect Show list

  1. Overwiew of scientific and technical libraries for Python
  2. Numerical calculations with NumPy
    • Standard arrays and linear algebra library
    • Array-constructions and array-properties in examples
    • Speed comparison between dynamically determined Python data types with explicitly specified NumPy arrays
    • Correspondence between NumPy and C data types
  3. Slicing and Broadcasting
    • Reading and writing to arbitrary parts of arrays
    • Applying broadcasting for arrays with different shapes
  4. Universal Functions
    • Applying many operations on whole arrays independent from their dimensions
    • Examples of use
  5. Numerical Algebra
  6. Storage and processing of large amounts of data
    • ASCII Files - techniques for conversion of cloumn based data in Python data structures are given
    • Excel Files - access via Microsoft's COM interface, binary reading and writing of files as a platform indepentend solution
    • HDF5 Files - similar purposes as the NetCDF-Format. Using PyTables as a mature and comfortable interface to HDF
    • Databases - using Python's uniform API for accesing all major databases.
    • Picking and shoveling - using built-in Python persistence methods. Presentation of advantages and disadvantages of that technique.
  7. Object-oriented programming for scientific and technical projects
  8. Graphical presentation of scientific data
    • MatplotLib - library that provides many different types of diagrams from within Python with only a few lines of code.
    • MayaVi - Three-dimensional visualization and animation software - standalone usage is taught in the course as well as the automation from within a Python program.
  9. Application integration with Python
    • Usage of Python as "glue language" for the connection of heterogeneous applications.
    • Examples of connecting very different applications into one uniform program.
  10. Open time for solving participant's problem
    • Participants are asked before the course to provide tasks that they usually need to solve at work. Solution strategies with Python are attempted in the course.
Download conspect training as PDF

Additional information

Requirements
  • Basic knowledge of Python.
Difficulty level
Duration 3 days
Certificate

The participants will obtain certificates signed by Python Academy.

Trainer

Authorized Python Academy Trainer.

Other training Python Academy | On Demand

Training thematically related

Programming

Python

Contact form

Please fill form below to obtain more info about this training.







* Fields marked with (*) are required !!!

Information on data processing by Compendium - Centrum Edukacyjne Spółka z o.o.

900 EUR

close

Discount codes

Discount code may refer to (training, producer, deadline). If you have a discount code, enter it in the appropriate field.
(green means entering the correct code | red means the code is incorrect)

FORM OF TRAINING ?

close

Traditional training

Sessions organised at Compendium CE are usually held in our locations in Kraków and Warsaw, but also in venues designated by the client. The group participating in training meets at a specific place and specific time with a coach and actively participates in laboratory sessions.

Dlearning training

You may participate from at any place in the world. It is sufficient to have a computer (or, actually a tablet, or smartphone) connected to the Internet. Compendium CE provides each Distance Learning training participant with adequate software enabling connection to the Data Center. For more information, please visit dlearning.eu site

TRAINING MATERIALS ?

close

Paper materials

Traditional Materials: The price includes standard materials issued in the form of paper books, printed or other, depending on the arrangements with the manufacturer.

Ctab materials

Ctab materials: the price includes ctab tablet and electronic training materials or traditional training materials and supplies provided electronically according to manufacturer's specifications (in PDF or EPUB form). The materials provided are adapted for display on ctab tablets. For more information, check out the ctab website.

 

SELECT TERM TRAINING

No deadlines for this training.

Suggest your own appointment

Upcoming Python Academy training

Training schedule
Python Academy