Introduction to Python Training Course

Course Objectives

By the end of this training, you will:

•     Master Python Fundamentals: Learn the basics of Python programming, including variables, data types, operators, and control structures.
•     Understand Object-Oriented Programming (OOP): Explore the principles of OOP in Python, including classes, objects, inheritance, and polymorphism.
•     Work with Data: Discover how to manipulate data using Python's built-in libraries, handle files, and process text and numbers effectively.
•     Web Development: Get started with web development using Python, including creating web applications and using popular frameworks like Django and Flask.
•     Data Analysis: Dive into data analysis with Python by using libraries such as Pandas and NumPy to clean, analyze, and visualize data.
•     Machine Learning and AI: Gain an introduction to machine learning and artificial intelligence using Python libraries like TensorFlow and scikit-learn.
• ·   Real-World Projects: Apply your skills to real-world projects to solidify your understanding and build a portfolio to showcase your abilities.

Course Overview

Module 1: Python Overview

• Enter statements into the Python Console
• Identify and access documentation

Module 2: Working with Numbers and Strings

• Define an object and a type
• Assign objects to variables
• Employ arithmetic operators
• Use string operations and methods
• Index and slice strings
• Make decisions using the if statement

Module 3: Collections

• Learn about lists, tuples, dictionaries and sets
• Create and modify list operators and methods
• Index and slice lists and tuples
• Create and process dictionaries using functions and methods
• Perform set arithmetic
• Test for membership in a collection
• Iterate using for and while loops
• Apply list comprehensions

Module 4: Functions

• Create functions
• Call functions using positional and keyword argument passing
• Handle unlimited numbers of keyword or positional arguments
• Return values from functions
• Know the 4 levels of scope

Module 5: Object-Oriented Programming

• Define classes
• Add attributes using the constructor method
• Add additional methods to objects
• Access class attributes
• Leverage inheritance

Module 6: Modules

• Import additional modules
• Access attributes from another namespace
• Inspect the current namespace
• Test the __name__ attributes
• Access modules from the standard library
• Navigate package contents

Module 7: Managing Exceptions and Files

• Handle exceptions raised by Python
• Raise exceptions
• Open, close, read and write to files
• Iterate through a file
• Leverage the context manager to open and close files
• Define the 3 standard streams

Module 8: Accessing Relational Databases with Python

• Describe a relational database
• Describe the steps to access a database from a Python program
• Create a database connection
• Interact with the database through a cursor
• Execute SQL statements using a cursor