Python Scripting

This is a hands-on course, designed to help the developers to speedup in Python, as quickly as possible. The participant's in this course, will experience the following:

• Architecture
• Input and output
• Lists, Tuples, set & Dictionaries
• Decision Making & Loops
• Error handling.
• Function
• Object-oriented features. Classes & Objects
• Creating and using libraries and packages.
• Regular Expressions
• Database access – MySQL
• CSV, JSON handling
• Sending Email
• Multi-threaded Programming
• Pandas, numpy

NA
 

The participants should have prior programming experience and should be familiar with basic programming constructs
 

Day 1: 1. Python Introduction

• What’s Python?
• Why do people use Python?
• Some quotable quotes
• A Python history lesson
• Advocacy News
• What’s Python good for?
• What’s Python not good for?
• The features list
• Python portability
• Summary

2. Using the Interpreter

• Python's Interactive Prompt
• Scripting
• Program Execution Model
• Program Architecture: modules
• How to run Python programs
• Using Python IDEs

3. Python Scripting

• Python Scripts in Linux/Unix & Windows
• Whitespace Significance
• Line Termination
• Comments in Python
• Basic Output Generation
• Simple User Input
• Python Modules
• Module Search Paths
• Determining the System Search Path
• input()

4. Working with Variables in Python

• Python Variables
• Naming Conventions & Rules
• Types as Objects
• Variable References & Garbage Collection
• Sequence Types
• Membership Statements
• List Iteration
• Sequence Assignments
• Mutable vs Immutable Objects
• Multi Target Assignments

5. Numeric Operations in Python

• More About Python's Numeric Types
• Numeric Tools
• The Decimal Module
• Operator
• Arithmetic
• Logical
• Relational
• Bitwise
• Special Operators
• Operator Precedence

6. Decision making & Looping

• Comparison Operations
• The if Statement
• The if Ternary Expression
• The while Loop
• The for Loop

7. Debugging

• Dealing with syntax errors
• Dealing with runtime errors
• Dealing with logical errors
• Using unit tests

8. Python Strings

• Generating Strings in Python
• Immutable
• Common String Methods
• Type Conversion in Python
• Formatting String Output
• Format Specifier
• Variable Substitution
• String Indexing
• String Slicing
• String Iteration

9. Python's Tuples

• Immutable
• Common Tuples Methods
• Tuples Operations
• Tuples Indexing
• Tuples Slicing
• Tuples Iteration
• Multi-Dimensional Tuples (Matrices)

10. Python's Lists

• Common List Methods
• The range() Function
• List Operations
• String Indexing
• String Slicing
• String Iteration
• Multi-Dimensional Lists (Matrices)

11. Python List Comprehension

• Basic List Comprehensions
• Compound List Comprehensions

12. Python set data type

• Understanding & using set data type

13. Python Dictionaries

• Python Dictionaries
• Assigning Values to Dictionaries
• Dictionary Methods
• Dictionaries vs Lists & Tuples
• Dictionary Indexing
• Dictionary Iteration

Day 2: 14. Basic Input/Output with Files

• Opening Files
• Working with Files
• Controlling Output Location

15. Creating Python Functions

• Function Basics
• Defining Functions
• Function Polymorphism
• Argument Defaults
• Lambdas
• Local Variables
• Understanding __builtin__
• Preventing Variable Modifications
• Argument Matching Methods
• Keyword Argument Methods

16. Classes and Objects

• Introduction to OOP using python
• Classes and class attributes
• Instances and instance attributes
• Binding and method invocation
• Composition, Sub-classing and Derivation
• Inheritance
• Built-in functions for classes, instances and other objects
• Privacy and Delegation
• An overview of built-in python classes and modules

17. Modules & Packages

• Module Basics
• Packages
• Package Creation and Importing
• Using __all__ and _ Variables
• Using __name__
• Using third party modules

18. Exceptions

• About Exceptions
• Learning how exceptions work in Depth
  • Handling exceptions
  • Raising exceptions
  • Catching exceptions
• Python's Default Exception Handler
• Using Try/Except/Else/Finally Exceptions
• Generating User Defined Exceptions
• Using Asserts
• Exception Classes

19. Regular Expression in Python

• Using the re module
• Searching with regular expressions
• Replacing with regular expressions
• Reusing regular expressions with re.compile
• The match Function
• The search Function
• Regular-expression patterns
• Backreferences
• Translation

Day 3: 20. MySQL Database access

• Creating Database Connection
• Creating Database & Table
• INSERT Operation
• READ Operation
• Update Operation
• DELETE Operation
• COMMIT Operation
• ROLLBACK Operation

21. Multi-threaded Programming

• Starting a New Thread
• The Threading Module
• Creating Thread Using Threading Module
• Synchronizing Threads

23. CSV files Processing 24. JSON Processing 25. Logging & Warning modules 26. Working with python rest api – consuming data from external sources viz weather data, stock exchange, city names using location data etc.,