This event has been UPDATED since it was first published. View the UPDATED & Detailed Python programming Training course for beginners Information here.

4 Weekends Python Programming Training is being delivered from October 31, 2020 - November 22, 2020 over 4 weekends, 8 sessions, 2 sessions per weekend, 2 hours per session.

• Instructor-led and guided training
• Practical Hands-On, Highly Interactive training
• This course will be taught in English language
• All Published Ticket Prices are in US Dollars

4 Weekends Python Programming Training Schedule

• October 31, 2020 - November 22, 2020 US Pacific time
• 4 Weekends | 2 hours on Saturdays, 2 hours on Sundays every weekend US Pacific time
• 7:30 AM - 9:30 AM US Pacific time each of those days
• Please click here to add your city name and check your local date and time for the first session to be held on October 31, 2020 at 7:30 AM US Pacific Time.

Features and Benefits

• 4 Weekends, 8 sessions, 16 hours of total Instructor-led and guided training
• Training material, instructor handouts and access to useful resources on the cloud provided
• Practical Hands-on Lab exercises provided
• Real-life Scenarios

Course Objectives

• Complete knowledge of Python
• Learn how to use lists, tuples, loops, decision statement, etc. in python
• Build packages in Python
• Working with Exception handling, Inheritance
• Work independently in Project with scripting and Automation

Who can take this course

Anyone who wants to learn python programming for any purpose

Prerequisites

• Computer concepts
• Knowledge of any programming language is desirable but not required.

Course Outline

Please note that the actual course content covered during the class may slightly vary depending upon the students' backgrounds, expectations. The primary objective is to provide foundation knowledge in python. As many topics will be covered as possible time permitting. Additional training can be purchased for additional cost after completing this course.

1. Getting Started with Python

• Python Overview
• About Interpreted Languages
• Advantages/Disadvantages of Python pydoc
• Starting Python
• Interpreter PATH
• Using the Interpreter
• Running a Python Script
• Python Scripts on UNIX/Windows
• Python Editors and IDEs.
• Using Variables
• Keywords
• Strings Different Literals
• Math Operators and Expressions
• Writing to the Screen
• String Formatting
• Command Line Parameters and Flow Control
• Built-in Functions

2. Sequences and File Operations

• Lists
• Tuples
• Indexing and Slicing
• Iterating through a Sequence
• Functions for all Sequences
• Using Enumerate()
• Operators and Keywords for Sequences
• Dictionaries and Sets
• The xrange() function
• List Comprehensions
• Generator Expressions

3. Deep Dive – Functions Sorting Errors and Exception Handling

• Functions
• Function Parameters
• Global Variables
• Variable Scope and Returning Values. Sorting
• Alternate Keys
• Lambda Functions
• Sorting Collections of Collections
• Sorting Dictionaries
• Sorting Lists in Place
• Errors and Exception Handling
• Handling Multiple Exceptions
• The Standard Exception Hierarchy
• Using Modules
• The Import Statement
• Module Search Path
• Package Installation Ways

4. Regular Expressions It’s Packages and Object Oriented Programming in Python

• The Sys Module
• Interpreter Information
• STDIO
• Launching External Programs
• Paths Directories and Filenames
• Walking Directory Trees
• Math Function
• Random Numbers
• Dates and Times
• Zipped Archives
• Introduction to Python Classes
• Defining Classes
• Initializers
• Instance Methods
• Properties
• Class Methods and DataStatic Methods
• Private Methods and Inheritance
• Module Aliases and Regular Expressions.

5. Debugging, Databases and Project Skeletons

• Debugging
• Dealing with Errors
• Using Unit Tests
• Project Skeleton
• Required Packages
• Creating the Skeleton
• Project Directory
• Final Directory Structure
• Testing your Setup
• Using the Skeleton
• Creating a Database with SQLite 3
• CRUD Operations
• Creating a Database Object