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

4 Weeks Only 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.

4 Weeks Python Programming Training Course Schedule

• March 18, 2021 - April 13, 2021 US Pacific time
• 4 Weeks | 2 Hours on Tuesdays, 2 Hours on Thursdays every week US Pacific time
• 6:30 PM - 8:30 PM 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 March 18, 2021 at 6:30 PM 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