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Advanced Python Programming

Instructor

Cheryl Roth

See Course Dates

What You Will Learn

In this Python training course, students already familiar with Python programming will learn advanced Python techniques such as Jupyter Notebook, the Collections module, mapping and filtering, lamba functions, advanced sorting, working with regular expressions in Python, working with databases, CSV files, JSON and XM, writing object-oriented code, testing and debugging and learning about Unicode and text encoding. Basic Python Programming Experience. In particular using basic python syntax including Conditionals and Loops, collections, Exceptions and Functions.


This course is a component of the Python Programming Certificate.


This section is facilitated by an instructor online. Within 2 business days of the class start date, you will receive instructions about how to access the class online.

 

Certification

Python Programming Certificate

Python is a popular introductory programming language. Learn how to use code in an efficient, flexible and effective way.


Courses will cover topics such as code readability, syntax, expressions, GUIs, CGI programming and more. Complete all courses within one year and receive the Python Programming Certificate.

Prerequisites: Some programming experience suggested.

See individual courses for prerequisites, detailed descriptions, outlines and online registration.

Required Courses

We suggest attending these courses in this order:

  • Introduction to Python Programming
  • Advanced Python Programming
  • Python Programming for Data Analysis

 

Advanced Python Programming
Course Dates

Live Online help Real-time discussions with your instructor and fellow students via technology

$1,995.00

Advanced Python Programming

8/5/2024 - 8/21/2024 MW 5:30PM-9:00PM
19 Seats Open

Selected Course

Dates: 8/5/2024 - 8/21/2024 MW

Course type: Data Management

Times: 5:30PM-9:00PM

Location: Live Online Campus Map

Contact Hours: 21.0

Other Details

Course Code: BIGDATA-101-17

Category: Data Management

Contact Hours: 21.0

Format: Classroom

After registering for this course, you can come back to the catalog to register for more courses.

Issues with registering? Please contact us at CERegistration@jccc.edu or call 913-469-2323.

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Outline:

  1. Object Oriented Programming with Python
    • Classes and Objects
    • Attributes and Methods
    • Private Attributes
    • Properties
    • Inheritance
    • Static Methods
    • Class Attributes and Methods
    • Abstract Classes and Methods
    • Decorators
  2. Advanced Python Concepts
    • Advanced List Comprehensions
    • Collections Module
    • Mapping and Filtering
    • Lambda Functions
    • Mutable and Immutable Built-in Objects
    • Sorting
    • Unpacking Sequences in Function Calls
    • Modules and Packages
  3. Regular Expressions
    • Regular Expression Syntax
  4. Working with Data
    • Relational Databases
      1. PyMySQL
      2. Passing Parameters
    • CSV
    • Soup and XML
    • CSV Files
    • JSON
  5. Testing and Debugging
    • Techniques for testing and debugging
    • IDLE Debugger
    • Testing for Performance
    • The unittest Module
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Live Online help Real-time discussions with your instructor and fellow students via technology

Advanced Python Programming

DATE TIME DAY PRICE AVAILABILITY LOCATION  
8/5/2024 - 8/21/2024 5:30PM-9:00PM MW $1,995.00 19 Seats Open Live Online Campus Map Register
Close Modal Window

Live Online help Real-time discussions with your instructor and fellow students via technology

$1,995.00

Advanced Python Programming

8/5/2024 - 8/21/2024 MW 5:30PM-9:00PM
19 Seats Open

Selected Course

Dates: 8/5/2024 - 8/21/2024 MW

Course type: Data Management

Times: 5:30PM-9:00PM

Location: Live Online Campus Map

Contact Hours: 21.0

Other Details

Course Code: BIGDATA-101-17

Category: Data Management

Contact Hours: 21.0

Format: Classroom

After registering for this course, you can come back to the catalog to register for more courses.

Issues with registering? Please contact us at CERegistration@jccc.edu or call 913-469-2323.