Advanced Python (English)

• 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).