Advanced Python Training Course

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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