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Advanced Python Training

Delivery Options

Class Date and Time Price Pricing Information
$1,900.00 or 4 vouchers vouchers
$1,900.00 or 4 vouchers vouchers
$1,900.00 or 4 vouchers vouchers

Class Description

Class Overview

In this Python training course, students already familiar with Python programming will learn advanced Python techniques.

This Python course is taught using Python 3; however, differences between Python 2 and Python 3 are noted. For private Python classes, our instructor can focus specifically on Python 2 if desired.

Class Goals

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

Class Outline

  1. IPython Notebook
    1. Getting Started with IPython Notebook
    2. Creating Your First IPython Notebook
    3. IPython Notebook Modes
    4. Useful Shortcut Keys
    5. Markdown
    6. Magic Commands
    7. Getting Help
  2. Advanced Python Concepts
    1. Advanced List Comprehensions
      1. Quick Review of Basic List Comprehensions
      2. Multiple for Loops
    2. Collections Module
      1. Named Tuples
      2. Default Dictionaries
      3. Counters
    3. Mapping and Filtering
    4. Lambda Functions
    5. Advanced Sorting
      1. Sorting Lists in Place
      2. Sorting Sequences of Sequences
      3. Sorting Sequences of Dictionaries
    6. Unpacking Sequences in Function Calls
    7. Unicode and Encoding Text
      1. Encoding and Decoding Files in Python
      2. Converting a File from cp1252 to UTF-8
    8. Regular Expressions
  3. Working with Data
    1. Databases
    2. CSV
    3. JSON
    4. XML
  4. Classes and Objects
    1. Creating Classes
    2. Extending Classes
    3. Documenting with PyDoc
    4. Creating Packages
    5. Decorators
  5. Graphing and Data Analysis
    1. matplotlib
    2. NumPy
    3. pandas
  6. Testing and Debugging
    1. Creating Simulations
    2. Testing for Performance
    3. The unittest Module
    4. Debugging with the IPython Debugger (ipdb)
  7. More Useful Modules
    1. ziplib
    2. requests
    3. Scrapy

Why Webucator?

  • Expert instructors.
  • Classes are never canceled for low enrollment.
  • 100% free re-take option.
  • We have taught more than 59,822 students at 14,176 different organizations.

Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following areas is required:

  • Basic Python programming experience. In particular, you should be very comfortable with:
    1. Working with strings.
    2. Working with lists, tuples and dictionaries.
    3. Loops and conditionals.
    4. Writing your own functions.

Experience in the following areas would be beneficial:

  • Some exposure to HTML, XML, JSON, and SQL.

Courses that can help you meet these prerequisites:

Technical Requirements

Our computer technical requirements and setup process is easy, with support just a click away.

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