4 WEEKS PYTHON TRAINING IS BEING DELIVERED FROM FEBRUARY 24, 2020 -
MARCH 18, 2020 US Pacific time for 16 hours over 4 weeks, 8 sessions,
2 sessions per week, 2 hours per session. * All Published Ticket
Prices are in US Dollars * The course will be taught in English
language only.
4 Weeks Python Training Weekly Schedule
* 4 Weeks | Monday, Wednesday US Pacific Time Every Weekend
(Before US Daylight Savings Time Begins on March 8, 2020)
* February 24 - March 7, 2020 US Pacific time
* 5:30 PM - 7:30 PM US Pacific time each day
* Please check your local date and time for the 1st session
[https://www.timeanddate.com/worldclock/converter.html?iso=20200225T013000&p1=234]
(After US Daylight Savings Time Begins on March 8, 2020)
* March 8 - March 18, 2020 US Pacific time
* 6:30 PM - 8:30 PM US Pacific time each day
* Please check your local date and time for the 5th Session
[https://www.timeanddate.com/worldclock/converter.html?iso=20200310T013000&p1=234]
Features and Benefits
* 4 weeks, 8 sessions, 16 hours of total Instructor-led LIVE
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
What are the prerequisites to learn Python?
The course can be taken by any IT professional having basic knowledge
of:
* Unix or Windows Operating System
* Any Programming Language
* Computer concepts
Who can take Python Course?
* Any Professional who is interested in building career in python
web development/ software automation /Data Analytics.
* Any one who wants to learn python programming for any purpose
Python Online Training Course Curriculum
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
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25/02/2020 Last update