Advanced Python (English course)
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Duration
4 dagen
Price
Nieuwegein
Schedule
Planning ophalen...
Teaching method
Klassikaal

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General

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

Objectives

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.

Target audience

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

Onderstaande voorkennis is vereist:

The Python programming language (English course) of vergelijkbare kennis.
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.

Topics

Overview of Python-interpreters
Program startup and termination
Modules and packages
Package distribution (setuptools)
Subprocesses
Multithreading
Handling binary data

Decorators
Database access
RESTful (client-side)
Logging
Netwerk sockets (TCP/IP)
Testing, debugging and profiling
Namespaces and introspection

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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).

Schedule & Price

* This course event is guaranteed to run.
*A course with falls under the Summer Academy action.

All prices are exclusive of VAT.

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Advanced Python (English course)
Special!

General

Objectives

Target audience

Voorkennis

Topics

Schedule & Price

Related courses

Categorieën

Onderwerpen

Prijs

Opleidingen

Kenniscentrum

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Maak kennis met: Ton Kersten

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Objectives

Target audience

Voorkennis

Cursus: Advanced Python (English course)

Cursus: Advanced Python (English course)

Advanced Python (English course)