introduction Python programming

Python is the most popular programming language in the world.

It is a vital component of data science and machine learning and has a very simple and easy to read style. It is one also one of the most flexible programming languages, and can be used in desktop software, mobile applications, web development and more. Whether you are new to coding or are looking to increase your value as an application developer or data scientist, Python’s simple syntax and object-oriented programming paradigm make it a must learn language for everyone.


Python Course Overview

Python® has been around for decades, but it's still one of the most versatile and popular programming languages out there. Whether you're relatively new to programming or have been developing software for years, Python programming language is an excellent language to add to your skill set. In this course, you'll learn the fundamentals of programming in Python, and you'll develop applications to demonstrate your grasp of the language

Python Course Outline

Lesson 1: Setting Up Python and Developing a Simple Application

  • Topic A: Set Up the Development Environment
  • Topic B: Write Python Statements
  • Topic C: Create a Python Application
  • Topic D: Prevent Errors

Lesson 2: Processing Simple Data Types

  • Topic A: Process Strings and Integers 
  • Topic B: Process Decimals, Floats, and Mixed Number Types

Lesson 3: Processing Data Structures

  • Topic A: Process Ordered Data Structures
  • Topic B: Process Unordered Data Structures

Lesson 4: Writing Conditional Statements and Loops in Python

  • Topic A: Write a Conditional Statement
  • Topic B: Write a Loop

Lesson 5: Structuring Code for Reuse

  • Topic A: Define and Call a Function
  • Topic B: Define and Instantiate a Class
  • Topic C: Import and Use a Module

Lesson 6: Writing Code to Process Files and Directories

  • Topic A: Write to a Text File
  • Topic B: Read from a Text File
  • Topic C: Get the Contents of a Directory
  • Topic D: Manage Files and Directories

Lesson 7: Dealing with Exceptions

  • Topic A: Handle Exceptions
  • Topic B: Raise Exceptions

Appendix A: Major Differences Between Python 2 and 3

Appendix B: Python Style Guide

Python Course Objectives
  • Set up Python and develop a simple application
  • Declare and perform operations on simple data types, including strings, numbers, and dates.
  • Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets.
  • Write conditional statements and loops.
  • Define and use functions, classes, and modules.
  • Manage files and directories through code
  • Deal with exceptions.
Python class pre-requisites

It is recommended, but not required, that you have at least six months experience programming in an object-oriented language. Even if you don't, this course can be useful to those that are new to programming.

To ensure your success in the pythong training course, you should have at least a foundational knowledge of personal computer use.

Python Course Technical Requirements

Hardware and software required for this python class, you will need one computer for each student and one for the instructor.

Each computer will need the following minimum hardware configurations:

  • 1 GHz or faster 64-bit (x64) processor
  • 2 gigabyte (GB) RAM
  • 30 GB available hard disk space
  • Windows 10/8.1/8/7/Vista (64-bit). This course was successfully keyed on Windows 10. 
  • Python version 3.4.2 (python-3.4.2.amd64.msi).
  • PyCharm Community Edition version 3.4.1 (pycharm-community-3.4.1.exe).

Both Python and PyCharm are distributed with the course data files. Python is distributed under the Python Software Foundation License (PSFL). PyCharm Community Edition is distributed under the Apache License 2.0.

 

Date: 2, 5, 9, and 11 June 2020
Duration:
Location: Live Virtual (11am - 3pm)
Online Price:AED 2350/- + VAT
AED 2350
Lesson 1: Setting Up Python and Developing a Simple Application
  • Topic A: Set Up the Development Environment
  • Topic B: Write Python Statements
  • Topic C: Create a Python Application
  • Topic D: Prevent Errors
Lesson 2: Processing Simple Data Types
  • Topic A: Process Strings and Integers 
  • Topic B: Process Decimals, Floats, and Mixed Number Types
Lesson 3: Processing Data Structures
  • Topic A: Process Ordered Data Structures
  • Topic B: Process Unordered Data Structures
Lesson 4: Writing Conditional Statements and Loops in Python
  • Topic A: Write a Conditional Statement
  • Topic B: Write a Loop
Lesson 5: Structuring Code for Reuse
  • Topic A: Define and Call a Function
  • Topic B: Define and Instantiate a Class
  • Topic C: Import and Use a Module
Lesson 6: Writing Code to Process Files and Directories
  • Topic A: Write to a Text File
  • Topic B: Read from a Text File
  • Topic C: Get the Contents of a Directory
  • Topic D: Manage Files and Directories
Lesson 7: Dealing with Exceptions
  • Topic A: Handle Exceptions
  • Topic B: Raise Exceptions
Appendix A: Major Differences Between Python 2 and 3
Appendix B: Python Style Guide