Python

Python is a dynamic modern object-oriented programming language that is easy to learn. The Python programming language is freely available and makes solving a computer problem almost as easy as writing out your thoughts about the solution. The code can be written once and run on almost any computer without needing to change the program.

About the course

The course is aimed at Professionals looking to learn a simple but powerful modern programming language. The course will introduce participants to all the most essential and practical applications of Python programming language for data manipulation, management, analysis and basic visualisations. The course will also look to provide you with practical skills in general Python programming language and a number of Python libraries designed for scientific computing and data analysis e.g NumPy, pandas, matplotlib, IPython, SciPy etc. Upon completion of the course participants will have gained the skills to:

Understand programming in Python Syntax
Enable Python libraries
Collect data from various data sources
Clean and prepare data
Visualise the data

Audience:

Data Analysts, Business Analysts, Developers, Data Managers, Business Intelligence Analysts, IT Administrators, Data Architects

Recommended Prerequisites:

None

Course Schedule:

4 Days

Course Introduction

Introduction to Python
What makes Python so amazing
Python 2 vs Python 3
When to use Python
Installing Python
Python Set up
The Python Interface
The Amazing Python console
Installing Pycharm

Types, Statements, and Other Goodies

Introduction
Types in Python – Wait, What?
Integers and Floats
Strings
Boolean and None
If Statements
Lists
Loops
Break and Continue
While Loops
Dictionaries
Exceptions
Other Data Types
Class work
Summary

Functions, Files, Yield, and Lambda

Module Overview
Our App – PyStudentManager
Functions
Function Arguments
Adding Students to Our App
Nested Functions and Closures
Opening, Reading, and Writing Files
Yield
Lambda Functions
Class work
Summary

Object Oriented Programming

Module Overview
Classes and Why Do We Need Them?
Defining a Class in Python
Adding Methods to Our Class
Constructor and Other Special Methods
Instance and Class Attributes
Breaking Our App into Modules
Class work
Summary

Putting It All Together – Let’s Make It a Web App

Module Overview
Installing Python Packages and Flask
Making Our App a Web App
How Much Code Did We Share?
Class work
Summary
Python Tips and Tricks