Python Toolchain/Syntax

This course covers Python’s primitive data types (numbers, strings) and participants take further steps in writing code using loops and logical operators.

Suitability

Tech Analysts, S&T Analysts (optionally)

Learning Outcomes

By the end of this course, participants should be able to write simple Python code covering the following areas:rn• Python’s primitive data typesrno Strings, and how to work with themrno Numbers – ints and floatsrno Booleans

Course Content

Orientation: strings, ints and floats – the building blocks. Casting from strings <-> numbers. Working with strings – slicing, concatenating, searching. Workshop 1: parse a bid/ask spread from a trader’s IM app into separate bid and ask prices. Logi• Strings, ints, floats booleans – the building blocks.rn• Casting from strings <-> numbers.rn• Working with strings – slicing, concatenating, searching.rno Workshop 1: parse a bid/ask spread from a trader’s IM app into separate bid and ask prices. Logic flow: if/else/else if.rno Workshop 2: extend workshop 1 to cover big figure changes, pipettes, currency pairs like USD/JPY that do not take an x.xxxx decimal format.rn• Lists, arrays, dictionaries, tuplesrno Syntax: brackets and the colon operatorrno Traversing 1- and 2D lists with loopsrno Workshop 3: implement a matching search which returns the searched value in a list if it is found flow: if/else/else if. Workshop 2: extend workshop 1 to cover big figure changes, pipettes, currency pairs like USD/JPY that do not take an x.xxxx decimal format.

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