55285 Advanced Python

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      Course length: 2 Days
      About this course:
      In this Python training course, students already familiar with Python programming will learn advanced
      Python techniques.
      This advanced Python course is taught using Python 3; however, differences between Python 2 and
      Python 3 are noted.
      At course completion:
      At course completion
      • Work with the Collections module.
      • Understand mapping and filtering and lambda functions.
      • Perform advanced sorting.
      • Work with regular expressions in Python.
      • Work with databases, CSV files, JSON, and XML.
      • Write object-oriented code in Python.
      • Test and debug your Python code.
      • Understand Unicode and text encoding.
      Experience in the following is required for this Python class:
      Basic Python programming experience. In particular, you should be very comfortable with:
      Working with strings.
      Working with lists, tuples and dictionaries.
      Loops and conditionals.
      Writing your own functions.
      Experience in the following would be useful for this Python class:
      Some exposure to HTML, XML, JSON, and SQL.

      Module 1: Advanced Python Concepts

      In this lesson, you will learn about some
      Python functionality and techniques that are
      commonly used but require a solid foundation
      in Python to understand.
      Lambda Functions
      Advanced List Comprehensions
      Collections Module
      Mapping and Filtering
      Mutable and Immmutable Built-in Objects
      Unpacking Sequences in Function Calls
      Lab 1: Exercises in this Lesson
      Rolling Five Dice
      • Creating a defaultdict
      • Creating a OrderedDict
      • Creating a Counter
      • Working with a deque
      • Converting list.sort() to sorted(iterable)
      • Converting a String to a datetime.date
      After completing this module, students will be
      able to:
      • Work with lambda functions.
      • Write more advanced list

      • Work with the collections module to
      create named tuples, defaultdicts,
      ordereddicts, counters, and deques.

      • Use mapping and filtering.
      • Sort sequences.
      • Unpack sequences in function calls.
      • Create modules and packages.

      Module 2: Working with Data

      Data is stored in many different places and in
      many different ways. There are Python modules
      for all of the most common ways.
      Relational Databases CSV
      Getting Data from the Web JSON
      Lab 1: Exercises in this Lesson
      • Querying a SQLite Database
      • Inserting File Data into a Database
      • Comparing Data in a CSV File
      • Requests and Beautiful Soup
      • Using JSON to Print Course Data
      • After completing this module, students
      will be able to:
      • Access and work with data stored in a
      relational database.
      • Access and work with data stored in a
      CSV file.
      • Get data from a web page.
      • Access and work with data stored as
      HTML and XML.
      • Access an API
      • Access and work with data stored as

      Module 3: Testing and Debugging

      This module explains how to test and debug
      using Python
      Testing for Performance
      The unittest Module
      Lab 1: Exercises in this Lesson
      Fixing Functions
      After completing this module, students will be
      able to:
      Test performance with timers and using the
      timeit module.
      To write unit tests using the unittest module

      Module 4: Classes and Objects

      An object is something that has attributes
      and/or behaviors, meaning it is certain ways and
      does certain things. In the real world, everything
      could be considered an object. Some objects
      are tangible, like rocks, trees, tennis racquets,
      and tennis players. And some objects are
      intangible, like words, colors, tennis swings, and
      tennis matches.
      • Attributes
      • Behaviors
      • Classes vs. Objects
      • Attributes and Methods
      • Private Attributes
      • Properties
      • Documenting Classes
      • Inheritance
      • Static Methods
      • Class Attributes and Methods
      • Abstract Classes and Methods
      • Understanding Decorators

      Lab 1: Exercises in this Lesson
      • Adding a roll() Method to Die
      • Properties
      • Documenting the Die Class
      • Extending to Die Class
      • Extending the roll() Method
      • After completing this module,
      students will be able to:
      • Create classes and objects in
      • Write instance methods, class
      methods, and static methods.
      • Define properties.
      • Create subclasses using
      • Create abstract classes.
      • Appropriately document Python
      Understand how decorators work

      7 abril, 2021


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      +598 99 550100

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