16 Hours Python Programming training is a 4 weeks long Instructor-led and guided training with Practical Hands-On Lab exercises to be taught over 4 Weeks, 2 sessions per week, 2 hours per session.

• The medium of instruction is English.
• All Published Ticket Prices are in US Dollars.

16 Hours Only Python Programming Training Course Schedule

• January 26, 2021 - February 18, 2021 US Pacific time
• 16 Hours | 2 Hours on Tuesdays, 2 Hours on Thursdays every week 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 January 26, 2021 at 7.30 AM US Pacific Time.

Features and Benefits

• 4 weeks, 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
• Actual code and scripts 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

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