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Advanced Python 3.8

Price
1,170 USD
2 Days
PLPJ-195
Classroom Training, Online Training
Open Source

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Course Description

Overview

This Advanced Python course is for students who already have a basic knowledge of Python and are ready to go to the next level. The course was written using Python 3.8 but is relevant for all students using Python 3.

 

Objectives

Upon completion of the Advanced Python 3.8 course, students will learn:
  • Lambda functions
  • Advanced list comprehensions
  • The collections module
  • Mapping and filtering
  • Sorting sequences
  • Unpacking sequences in function calls
  • Modules and packages
  • Understanding regular expressions
  • Python's re module
  • Data stored in a relational database
  • Data stored in a CSV file
  • Data from a web page
  • HTML, XML, and JSON
  • Accessing an API
  • Testing performance with timers and the timeit module
  • The unittest module
  • Classes and objects in Python
  • Instance methods, class methods, and static methods
  • Properties
  • Decorators
  • Subclasses and inheritance

Audience

This course is for students who have taken an introductory course and are ready to learn more and for students who have some experience programming with Python and are ready to go to the next level.
 

Prerequisites

    Experience in basic Python programming. In particular, you should be very comfortable with working with strings, lists, tuples and dictionaries; loops and conditionals; and writing your own functions. Some exposure to HTML, XML, JSON, and SQL would be useful.
     

Topics

1. LESSON 1. Advanced Python Concepts
  • Lambda Functions
  • Advanced List Comprehensions
Exercise 1: Rolling Five Dice
  • Collections Module
Exercise 2: Creating a defaultdict
  • Counters
Exercise 3: Creating a Counter
  • Mapping and Filtering
  • Mutable and Immutable Built-in Objects
  • Sorting
Exercise 4: Converting list.sort() to sorted(iterable)
  • Sorting Sequences of Sequences
  • Creating a Dictionary from Two Sequences
  • Unpacking Sequences in Function Calls
Exercise 5: Converting a String to a datetime.date Object
  • Modules and Packages
2. LESSON 2. Regular Expressions
  • Regular Expression Tester
  • Regular Expression Syntax
  • Python’s Handling of Regular Expressions
Exercise 6: Green Glass Door 3. LESSON 3. Working with Data
  • Virtual Environment
  • Relational Databases
  • Passing Parameters
  • SQLite
Exercise 7: Querying a SQLite Database
  • SQLite Database in Memory
Exercise 8: Inserting File Data into a Database
  • Drivers for Other Databases
  • CSV
Exercise 9: Finding Data in a CSV File
  • Creating a New CSV File
Exercise 10: Creating a CSV with DictWriter
  • Getting Data from the Web
Exercise 11: HTML Scraping
  • XML
  • JSON
Exercise 12: JSON Home Runs 4. LESSON 4. Testing and Debugging
  • Testing for Performance
Exercise 13: Comparing Times to Execute
  • The unittest Module
Exercise 14: Fixing Functions
  • Special unittest.TestCase Methods
5. LESSON 5. Classes and Objects
  • Attributes
  • Behaviors
  • Classes vs. Objects
  • Attributes and Methods
Exercise 15: Adding a roll() Method to Die
  • Private Attributes
  • Properties
Exercise 16: Properties
  • Objects that Track their Own History
  • Documenting Classes
Exercise 17: Documenting the Die Class
  • Inheritance
Exercise 18: Extending the Die Class
  • Extending a Class Method
Exercise 19: Extending the roll() Method
  • Static Methods
  • Class Attributes and Methods
  • Abstract Classes and Methods
  • Understanding Decorators
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