Python Programming 4-day Course Training Course

• Aspiring Developers: Individuals looking to start a career in programming with Python.
• Existing Programmers: Developers seeking to add Python to their skill set.
• Data Analysts and Scientists: Professionals aiming to leverage Python for data analysis and machine learning.
• Automation Enthusiasts: Anyone interested in automating tasks and improving workflow efficiency.

It is essential that you have had recent basic programming experience in any programming language (ie not just 10 years ago while at College and nothing since).  

If you don't, you must first complete our Introduction to Programming Course. This course will help you prepare for the Python Course.

Day 1: Foundations of Python

• Lexical Conventions and Syntax

  • Understanding Python's basic syntax and structure
  • Variable declaration and manipulation
  • Operators and expressions
  • Division, type conversion, and augmented assignments
  • Namespaces and scope management

• Data Types and Structures

  • Numbers, strings, and string manipulation
  • String operations and methods
  • Lists: creation, operations, attributes, slicing, and methods
  • Dictionaries: notation, operations, and manipulation
  • Sets: construction, membership testing, and set operations

Day 2: Control Flow and Functions

• Flow Control

  • Loops: for and while loops
  • Control statements: break, continue, and else clauses
  • Conditional statements: if, elif, else

• Functions

  • Function calls and definitions
  • Argument declaration and default values
  • Variable-length argument lists
  • Understanding closures and lambda functions
  • Scoping rules and namespace management

Day 3: Advanced Programming Concepts

• Functional Programming

  • List comprehensions and generator expressions
  • Generator functions and the use of yield

• Exception Handling

  • Raising and catching exceptions
  • Creating custom exceptions
  • Using try, except, finally blocks for robust error handling
  • Understanding built-in exception classes

• Input and Output

  • User input with input() and raw_input()
  • File I/O operations
  • Working with CSV and DB files
  • Managing file objects and standard file streams

Day 4: Object-Oriented Programming and Best Practices

• Classes and Objects

  • Defining classes and constructing instances
  • Class members and methods
  • Dynamic class structures and dictionaries
  • New-style classes and properties
  • Static methods and inheritance
  • Special methods for initialization and representation

• Programming Practices

  • Encapsulation and data hiding
  • Writing and utilizing docstrings for documentation
  • Best practices for clean and efficient code