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Course Advanced Python Programming

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  • Course Advanced Python Programming : Content

    The course Advanced Python Programming discusses advanced aspects of the Python programming language that simplify and accelerate the development of Python software.

    Advanced Classes

    In the first place a number of advanced aspects of classes are discussed such as multiple inheritance, polymorphism and operator overloading.

    Modules and Packages

    Subsequently attention is paid to the use of modules and packages and participants learn how to create packages themselves, how to upload and install them in a virtual environment. Accessing XML and JSON data is also on the program and it is discussed how logging can be implemented in Python programs.

    Generators and Decorators

    Additionally iterators that deal with lazy evaluation are discussed as well as generators and coroutines with which concurrent programs can be made. Then decorators that are used to add functionality such as caching and proxying to existing functions and classes, are discussed.

    Design Patterns

    In the module patterns the Python implementation of different standard Design Patterns is explained.
    Next attention is paid to an advanced feature like meta programming.

    Processes and Threads

    Also the creation of processes and threads is discussed as well as the synchronization between threads and optimizing the performance of Python code. Subsequently the new asyncio module is on the course program with which asynchronous IO with futures can be realized. Inter-process communication via sockets and pipes is also treated.

    Unit Testing

    And finally unit and mock testing is discussed in the context of test automation.

  • Course Advanced Python Programming : Training

    Audience Course Advanced Python Programming

    The course Advanced Python Programming is intended for Python developers who want to know more about the Python language and who wish to become proficient in advanced aspects of Python.

    Prerequisites Course Advanced Python Programming

    To participate in this course knowledge of and experience with programming in Python is required.

    Realization Training Advanced Python Programming

    The theory is discussed on the basis of presentation slides. Illustrative demos illustrate the concepts. The theory is interspersed with exercises. The course material is in English.

    Official Certificate Advanced Python Programming

    Participants receive an official certificate Advanced Python Programming after successful completion of the course.

    Advanced-Python-Programming
  • Course Advanced Python Programming : Modules

    Module 1 : Advanced Classes

    Module 2 : Modules and Packages

    Module 3 : XML en JSON Access

    Classes Recapitulation
    Data Hiding
    Property Syntax
    Inheritance
    super Keyword
    Multiple Inheritance
    Constructor Chaining
    Checking Relationships
    issubclass and isinstance
    Overriding Methods
    __str__ and __repr__
    Class Methods
    Operator Overloading
    Polymorphism
    import Statement
    from … import Statement
    Locating Modules
    Packages in Python
    Explicit and Implicit Import
    Namespaces and Scoping
    Test Harnas
    Virtual Environments and Activation
    Distribution of Packages
    Installing packages
    pip install
    Using Python Package index
    PyPI commands
    Uploading Package with Setup
    XML Parsing
    Pull versus Push Parsing
    Python XML Libraries
    DOM and SAX
    DOM Navigation and Manipulation
    XPath
    Minidom
    ElementTree
    Reading and Writing XML
    Searching and Validating XML
    XML Manipulation
    JSON library
    Dictionary to JSON conversion
    Loading and Dumping JSON

    Module 4 : Logging

    Module 5 : Generators

    Module 6 : Decorators

    logging Module
    When Use Logging
    Log Levels
    Logging Configuration
    Log in Multiple Modules
    Formatting Logging
    Logging Components
    Logger per Module
    Handlers and Filters
    Logging Flow
    Formatting
    Logger Adapter
    Iteration
    Iterables
    Iteration Protocols
    Supporting Iteration
    Generators
    Generator Functions
    Conveniant Iterator
    Generator Expression
    Expression Syntax
    Building Blocks
    Chaining generators
    Coroutines
    Functions as Objects
    Passing and Returning Functions
    What is a Decorator?
    Decorator Syntax
    Types of Decorators
    Passing Arguments
    Multiple Decorators
    Class Decorators
    Singleton Class
    Why Decorators
    Need for AOP
    Crosscutting Security Concern

    Module 7 : Patterns in Python

    Module 8 : Meta Programming

    Module 9 : Threads

    What are Patterns?
    Singleton Pattern
    Adapter Pattern
    Chain of Responsibility Pattern
    Observer Patters
    Patterns or Principles
    Everything is Object
    EAFP
    Duck Typing
    Monkey Patching
    Dependency Injection
    None
    Context Managers
    Classes as Objects
    Metaclasses
    Object from Metaclass
    Class of Class
    Descriptor Protocol
    Lookup
    Property
    Functions and Methods
    Classes and Types
    Object Creation
    Metaclass
    Singleton As Type
    Object Construction
    Thread Characteristics
    Threads in Python
    Current Thread
    Daemon Threads
    Joining Threads
    Derived Thread Class
    Signaling Threads
    Lock Object
    Locks as Context Managers
    Condition Synchronization
    Barriers
    Semaphores
    Thread Local Data

    Module 10 : Async IO

    Module 11 : Networking

    Module 12 : Unit Testing

    Concurrent Execution
    Multiprocessing
    Subprocess
    Scheduler
    Queue
    AsynIO
    Task
    Future
    Concurrent Futures
    Eventloop
    Network Layering
    TCP/IP Layering
    UDP versus TCP
    TCPv4 versus TCPv6 sockets
    Connectionless Services
    Connection Oriented Services
    Socket Utility Functions
    Asynchronous Servers
    Using Pipes
    Anonymous and Named Pipes
    What is Unit Testing?
    Automated Testing
    Test Driven Development
    Traditional versus TDD
    Unit Testing in Python
    Python Test Frameworks
    Test Cases
    Assertions
    Fixture
    Test Suite
  • Course Advanced Python Programming : General

    Course Forms

    All our courses are classroom courses in which the students are guided through the material on the basis of an experienced trainer with in-depth material knowledge. Theory is always interspersed with exercises.

    Customization

    We also do custom classes and then adjust the course content to your wishes. On request we will also discuss your practical cases.

    Course times

    The course times are from 9.30 to 16.30. But we are flexible in this. Sometimes people have to bring children to the daycare and other times are more convenient for them. In good consultation we can then agree on different course times.

    Hardware

    We take care of the computers on which the course can be held. The software required for the course has already been installed on these computers. You do not have to bring a laptop to participate in the course. If you prefer to work on your own laptop, you can take it with you if you wish. The required software is then installed at the start of the course.

    Software

    Our courses are generally given with Open Source software such as Eclipse, IntelliJ, Tomcat, Pycharm, Anaconda and Netbeans. You will receive the digital course material to take home after the course.

    Lunch

    The course includes lunch that we use in a restaurant within walking distance of the course room.

    Locations

    The courses are planned at various places in the country. A course takes place at a location if at least 3 people register for that location. If there are registrations for different locations, the course will take place at our main location, Houten which is just below Utrecht. A course at our main location also takes place with 2 registrations and regularly with 1 registration. And we also do courses at the customer’s location if they appreciate that.

    Evaluations

    At the end of each course, participants are requested to evaluate the course in terms of course content, course material, trainer and location. The evaluation form can be found at https://www.klantenvertellen.nl/reviews/1039545/spiraltrain?lang=en. The evaluations of previous participants and previous courses can also be found there.

    Copyright

    The intellectual property rights of the published course content, also referred to as an information sheet, belong to SpiralTrain. It is not allowed to publish the course information, the information sheet, in written or digital form without the explicit permission of SpiralTrain. The course content is to be understood as the description of the course content in sentences as well as the division of the course into modules and topics in the modules.

  • Course Advanced Python Programming : Reviews

  • Course Advanced Python Programming : Certificate