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Learning by doing
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Trainers with practical experience
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Classroom training
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Detailed course material
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Clear content description
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Tailormade content possible
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Training that proceeds
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Small groups
The course Advanced Python Programming discusses advanced aspects of the Python programming language that simplify and accelerate the development of Python software.
In the first place a number of advanced aspects of classes are discussed such as multiple inheritance, polymorphism and operator overloading.
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.
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.
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.
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.
And finally unit and mock testing is discussed in the context of test automation.
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.
To participate in this course knowledge of and experience with programming in Python is required.
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.
Participants receive an official certificate Advanced Python Programming after successful completion of the course.
Module 1 : Advanced Classes |
Module 2 : Modules and Packages |
Module 3 : XML en JSON Access |
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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 |
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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 |
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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 |
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.
We also do custom classes and then adjust the course content to your wishes. On request we will also discuss your practical cases.
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.
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.
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.
The course includes lunch that we use in a restaurant within walking distance of the course room.
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.
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.
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.
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