Advanced Python (English course)

Niveau
Tijdsduur
Locatie
Op locatie
Startdatum en plaats
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Opleiderscore: starstarstarstarstar_border 8 AT Computing heeft een gemiddelde beoordeling van 8 (uit 2 ervaringen)

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Startdata en plaatsen

placeNieuwegein
26 okt. 2020 tot 29 okt. 2020
Toon rooster
event 26 oktober 2020, 08:45-16:00, Day 1
event 27 oktober 2020, 08:45-16:00, Day 2
event 28 oktober 2020, 08:45-16:00, Day 3
event 29 oktober 2020, 08:45-16:00, Day 4
placeNieuwegein
21 dec. 2020 tot 24 dec. 2020
Toon rooster
event 21 december 2020, 08:45-16:00, Day 1
event 22 december 2020, 08:45-16:00, Day 2
event 23 december 2020, 08:45-16:00, Day 3
event 24 december 2020, 08:45-16:00, Day 4
placeNieuwegein
4 feb. 2021 tot 9 feb. 2021
Toon rooster
event 4 februari 2021, 08:45-16:00, Day 1
event 5 februari 2021, 08:45-16:00, Day 2
event 6 februari 2021, 08:45-16:00, Day 3
event 7 februari 2021, 08:45-16:00, Day 4
placeNieuwegein
6 apr. 2021 tot 9 apr. 2021
Toon rooster
event 6 april 2021, 08:45-16:00, Day 1
event 7 april 2021, 08:45-16:00, Day 2
event 8 april 2021, 08:45-16:00, Day 3
event 9 april 2021, 08:45-16:00, Day 4
placeNieuwegein
7 jun. 2021 tot 10 jun. 2021
Toon rooster
event 7 juni 2021, 08:45-16:00, Day 1
event 8 juni 2021, 08:45-16:00, Day 2
event 9 juni 2021, 08:45-16:00, Day 3
event 10 juni 2021, 08:45-16:00, Day 4

Beschrijving

Lesmethode :

Klassikaal

Algemeen :

This Advanced Python course covers language features intended for use in large scale programming projects. One area to explore is testing and debugging of Python code, building packages, etc. Advanced programming techniques such as multithreading are another area covered. Furthermore the course will introduce a selection of available libraries, e.g. for database access and the use of network sockets for data transfer.

Course attendees receive the following documentation:

  • A student kit containing copies of the presentation, lab exercises, and answers to the exercises.
  • Shortly after the course the student will receive a certificate as a proof of participati…

Lees de volledige beschrijving

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Lesmethode :

Klassikaal

Algemeen :

This Advanced Python course covers language features intended for use in large scale programming projects. One area to explore is testing and debugging of Python code, building packages, etc. Advanced programming techniques such as multithreading are another area covered. Furthermore the course will introduce a selection of available libraries, e.g. for database access and the use of network sockets for data transfer.

Course attendees receive the following documentation:

  • A student kit containing copies of the presentation, lab exercises, and answers to the exercises.
  • Shortly after the course the student will receive a certificate as a proof of participation

Doel :

This course aims at Python programmers who already have mastered the basic syntax of the language, and now wish to explore the advanced features of the language, its program development facilities and the use of popular modules

Doelgroep :

This course aims at Python programmers who already have mastered the basic syntax of the language, and now wish to explore the advanced features of the language, its program development facilities and the use of popular modules

Voorkennis :

This course assumes basic Python knowledge. This may be obtained via our course "The Python programming language". In case of doubt please consult this assessment to check your mastering of the basic language knowledge. The answers to the questions are here.
En de volgende cursussen:

  • The Python programming language (English course)

Onderwerpen :


- Overview of Python-interpreters
   - An overview that covers the main characteristics of the most important Python-interpreters.
- Program startup and termination
   - Parameter parsing with module argparse and the options of the exit function.
- Modules and packages
   - Various ways to load and use modules. Types of modules. Locations of modules. Combine modules into packages. Practical setup of packages.
- Package distribution (setuptools)
   - Distribution of packages. Installation of packages on the target system. Write a setup-script. Upload/download packages to/from the Python Package Index. Make a virtual environment.
- Subprocesses
   - Startup of commands with the subprocess module. Connect stdin, stdout and stderr to files or pipes. Parent-child synchronization.
- Multithreading
   - Creation and termination of a thread with the threading module. Synchronization of threads with locks. Development of thread-safe functions. Wait for other threads with join. Setup of producer-consumer model with help of queues.
   - Impact of the GIL. Multiprocessing as an alternative.
- Handling binary data
   - Unpack (or pack) binary data that has been read from a file or has been received from a network connection, using the struct module. Pitfalls when processing binary data.
- Decorators
   - Structure, use and creation of decorators.
- Database access
   - Introduction on databases and SQL. Explanation of the API that connects to the database server and the way that SQL statements can be performed. Handling of transactions.
- RESTful (client-side)
   - Representational State Transfer. Concepts (HTTP GET, PUT, POST and DELETE). URL conventions. JSON and XML parsing. Requests.
- Logging
   - Generate log messages for which the exact layout and destination is arranged at one spot, using the logging module. Use of loggers, handlers and formatters. Describing log characteristics via configuration files and dictionaries.
- Netwerk sockets (TCP/IP)
   - Socket types. Client and server role. Socket API for stream and datagram sockets. TCPv4 versus TCPv6 sockets. Concurrent server models using multiple threads (thread per connection or producer-consumer model) or single-threaded using the select function.
- Testing, debugging and profiling
   - Unit testing and mock testing. Coding style checkers. Debugging, tracing and profiling.
- Namespaces and introspection
   - Namespaces in general. Use of special attributes and builtin functions to visualize the properties of objects (peek below the surface).

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  • Bekijk gerelateerde producten mét ervaringen: Python.

Deel je ervaring

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