Training Python Academy

Training goals

code: PA-OPP

Python is an interpreted language; Python source code is translate into portable byte code. This concept in combination with other design principles of Python makes many of advantages as compared to other languages possible. As a drawback the execution speed may be considerably slower for certain kinds of applications than with compiled languages. Optimization can often increase performance of Python programs substantially.

Conspect Show list

  1. Guidelines for optimization.
    • Optimization strategies - Pystone benchmarking concept, CPU usage profiling with cProfile, memory measuring with Guppy_PE Framework. Participants are encouraged to bring their own programs for profiling to the course.
  2. Algorithms and anti-patterns
    • Examples of algorithms that are especially slow or fast in Python.
  3. The right data structure
    • Comparation of built-in data structures: lists, sets, deque and defaulddict.
    • Big-O notation will be exemplified.
  4. Caching
    • Deterministic and non-deterministic look on caching.
    • Developing decorates for caching purposes.
  5. The example - we will use a computionally demanding example and implement it first in pure Python. Then we look at some algorithmic improvements to speed up the computation.
  6. Testing speed - solution to measuring how fast a program really run in Python.
  7. Psyco - 'just-in-time-complier' (JIT), allowing to translate parts of the byte code to machine code. Example are used to show different possibilities of using Psyco.
  8. Numerical calculations with Numpy - basic possibilities of NumPy covered.
  9. Using multiple CPUS with Pyprocessing/multiprocessing.
  10. Combination of optimization strategies.
  11. Overview of extensions to Python with other languages.
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Additional information

Prerequisites
  • Basic knowledge of Python language.
Difficulty level
Duration 1 day
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

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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.

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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

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