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)
(After US Daylight Savings Time Begins on March 8, 2020)
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 Curriculum1. 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
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