Advanced Python Training Course

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Course CodeCourse Code

pythonmultipurpose

Duration Duration

28 hours (usually 4 days including breaks)

Requirements Requirements

  • Beginner to intermediate programming experience
  • Knowledge of math and statistics
  • Knowledge of database concepts

Overview Overview

In this instructor-led training, participants will learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, finance, data analysis and visualization, UI programming and maintenance scripting.

Audience

  • Developers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Notes

  • If you wish to add, remove or customize any section or topic within this course, please contact us to arrange.

 

Course OutlineCourse Outline

Introduction
    Python versatility: from data analysis to web crawling

Python data structures and operations
    Integers and floats
    Strings and bytes
    Tuples and lists
    Dictionaries and ordered dictionaries
    Sets and frozen sets
    Data frame (pandas)
    Conversions

Object-oriented programming with Python
    Inheritance
    Polymorphism
    Static classes
    Static functions
    Decorators
    Other

Data Analysis with pandas
    Data cleaning
    Using vectorized data in pandas
    Data wrangling
    Sorting and filtering data
    Aggregate operations
    Analyzing time series

Data visualization
    Plotting diagrams with matplotlib
    Using matplotlib from within pandas
    Creating quality diagrams
    Visualizing data in Jupyter notebooks
    Other visualization libraries in Python

Vectorizing Data in Numpy
    Creating Numpy arrays
    Common operations on matrices
    Using ufuncs
    Views and broadcasting on Numpy arrays
    Optimizing performance by avoiding loops
    Optimizing performance with cProfile

Processing Big Data with Python
    Building and supporting distributed applications with Python
    Data storage: Working with SQL and NoSQL databases
    Distributed processing with Hadoop and Spark
    Scaling your applications

Python for finance
    Packages, libraries and APIs for financial processing
        Zipline
        PyAlgoTrade
        Pybacktest
        quantlib
        Python APIs

Extending Python (and vice versa) with other languages
    C#
    Java
    C++
    Perl
    Others

Python multi-threaded programming
    Modules
    Synchronizing
    Prioritizing

UI programming with Python
    Framework options for building GUIs in Python
        Tkinter
        Pyqt

Python for maintenance scripting
    Raising and catching exceptions correctly
    Organizing code into modules and packages
    Understanding symbol tables and accessing them in code
    Picking a testing framework and applying TDD in Python

Python for the web
    Packages for web processing
    Web crawling
    Parsing HTML and XML
    Filling web forms automatically

Closing remarks

Bookings, Prices and EnquiriesBookings, Prices and Enquiries

Private Classroom
 
Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote
Price not set yet
Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet. More Information

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Private Remote
1
2 0EUR
3 0EUR
4 0EUR
Public Classroom
Price not set yet
Request
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom
1
2 50EUR
3 67EUR
4 75EUR
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