Python edasijõudnutele (e-õpe, inglise keeles)

Koolituse maht: 16 akadeemilist tundi ehk 2 õppepäeva, mille saad endale sobivale ajale jaotada.

Sihtgrupp: This course is for advanced users of Python programming language.

Koolitusel osalemise eeldused (soovitavalt): Basic Python programming experience. In particular, you should be very comfortable with: working with strings, 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.

To complete the training and get a certification you need to pass the quiz 100%.

Koolituse teemad:

This Advanced Python training course picks up where our Introduction to Python course leaves off. This course is for students who have taken the 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. The course was written using Python 3.8, but is relevant for all students using Python 3.

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

Koolituse eesmärk

The main purpose of this e-course is to give students a good understanding of advanced Python techniques.

Koolituse õpiväljundid

After completing this course, students will:

• Learn to work with the Collections module.
• Learn about mapping and filtering and lambda functions.
• Learn advanced sorting.
• Learn to work with regular expressions in Python.
• Learn to work with databases, CSV files, JSON, and XML.
• Learn to write object-oriented code in Python.
• Learn to test and debug your Python code.
• Learn about Unicode and text encoding.

Koolitus toimub e-õppe keskkonnas, kuhu saab siseneda isikliku kasutajanime ja parooliga. Need saadetakse Teile pärast koolitusarve tasumist või erikokkuleppel.

Täiendkoolituse õppekava rühm: tarkvara ja rakenduste arendus ning analüüs

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