Beginner Python Program - Curriculum

Course Duration : 5 to 6 Weeks ( 5 days in a week, 1 hr to 1:30 hrs a day)

Session 1: Introduction

• Why do we need Python?
• Program structure
• Development Environment setup (python and IDE Installation)
• Execution steps
• Interactive Shell
• Executable or script files
• User Interface or IDE walk-through, project setup
• Virtual environment setup
• GitHub SVN overview

Session 2: Memory management, Garbage collections and Data Types and Operations

• Numbers
• Strings
• List
• Tuple
• Dictionary
• Object creation and deletion
• Object properties
• Other Core Types
• Memory and Garbage collection walk-through
• logical operations

Session 3: Statements and Syntax

• Assignments, Expressions, and prints
• If tests and Syntax Rules
• While and For Loops
• Iterations and Comprehension

Session 4: File Operations

• Opening a file (from and with keyword)
• Using Files
• Other File tools
• context manager

Session 5: Functions

• Function definition and argument passing
• Function Scope
• Function argument passing
• Function Objects
• Anonymous Functions

Session 6: Modules and Packages

• Module Creations and Usage
• Module Search Path
• Module Vs. Script
• Package Creation and Importing

Session 7: Classes

• Classes and instances
• Classes method calls
• Inheritance and Compositions
• Static and Class Methods
• Bound and Unbound Methods
• Operator Overloading
• Polymorphism

Session 8: Exception Handling

• Default Exception Handler
• Catching Exceptions
• Raise an exception
• User defined exception

Session 9: Advanced Concepts

• Python modules overview and how to install module using pip
• Module installation and verification in development environment
• OS Module
• Subprocess module
• Argparse module. when and how to use it
• Defining Pandas
• Pandas – Creating and Manipulating Data
• How to Create Data Frames?
• Importance of Grouping and Sorting
• Plotting Data

Session 10: Flask

• Flask overview
• Creating a project
• Creating views
• URL Mapping
• Form details
• Form processing

Bonus: Projects

• Command line Interface script V1.0
• Command line Interface script V1.1 (Argparse)
• File operations
• Welcome web page using Flask

Intermediate Python Program - Curriculum

Course Duration : 5 to 6 Weeks ( 5 days in a week, 1 hr to 1:30 hrs a day)

Session 1 - Python Introduction

1. Understand the difference between Scripting Languages and Programming Languages
2. What is Python and history of Python?
3. Why Python and where to use it?
4. Demonstration on Python Installation
5. Discuss about IDE's like IDLE, Pycharm
6. Understand the python Data types
7. Python Interpretation overview
8. What are Variables
9. How to use Operators and Branching
10. Control flow statements and looping though objects
11. Running standalone scripts under Unix and Windows
12. GitHub SVN overview

Session 2 - Core Objects and functions

1. Number and string operations
2. UDF (user defined functions) Functions and Object Methods
3. What are various type of functions parameters
4. Create UDF functions
5. Parameterize UDF function, through named and unnamed parameters
6. Defining and calling Function
7. The anonymous Functions - Lambda Functions
8. Python built-in functions
9. List Object and Operations
10. Tuple Object and operations
11. Dictionary Object and operations
12. Set object and operations
13. Boolean Object and None Object
14. File operations

Session 3 - Python Modules

1. Python inbuilt Modules
2. os, sys, datetime, time modules
3. Create Python User Defined Modules
4. Using PYTHONPATH for Module search
5. Create Python Packages
6. init File for package initialization

Session 4 – Debugging and Exception handling

1. Python Debugging techniques
2. Python Exceptions Handling
3. What is Exception?
4. Handling various exceptions using try....except...else
5. Try-finally clause
6. Argument of an Exception and create self exception class
7. Python Standard Exceptions
8. Raising an exceptions, User-Defined Exceptions

Session 5 - Classes and Inheritance

1. Object oriented features
2. Understand real world examples on OOP
3. Implement Object oriented with Python
4. Creating Classes and Objects, Destroying
5. Accessing attributes, Built-In Class Attributes Inheritance and Polymorphism
6. Overriding Methods, Data Hiding
7. Overloading Operators
8. Regular Methods, Class Methods and Static Methods.

Session 6 - Regular Expression and Database interface

1. What are regular expressions?
2. The match and search Function
3. Compile and matching
4. Matching vs searching
5. Search and Replace feature using RE
6. Extended Regular Expressions
7. Wildcard characters and work with them
8. Creating a Database with SQLite 3,
9. CRUD Operations,
10. Creating a Database Object.
11. Python MySQL Database Access
12. DML and DDL Operations with Databases
13. Performing Transactions
14. Handling Database Errors
15. Disconnecting Database

Session 7- Json Prasing and PIP introduction

1. Install package using Pycharm
2. What is pip
3. Set up the environment to install packages
4. JSON parsing using json and simple json

Bonus: Projects

• Email verification and validation
• Real-time project development (Cricket Simulation)

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