Python Programming

In the course Python Programming participants learn how to program in the object-oriented scripting language Python.

Python Fundamentals

After an introduction on the installation and the different ways to execute scripts, the basic concepts such as declarations, variables and control flow structures are discussed.

Data Structures and Functies

Attention is also paid to collection structures, such as Lists, Tuples and Dictionaries. Next the focus is on the use of functions with the different methods of parameter passing, such as by value and by reference. The scope of variables and lambda functions are also discussed here.

Modules and Packages

Subsequently attention is paid to the division of Python software into modules and the use of namespaces and packages. Comprehensions in Python and functional programming are discussed as well as the handling of errors in scripts using exception handling.

File and Database Access

Next the functionality of various Python library functions for accessing files is the subject matter and attention is paid to database access with the Python Database API.

Classes and Objects

Also object-oriented programming with classes and objects is treated. In this respect concepts such as properties, constructors and encapsulation are highlighted.

Python Libraries

Finally if time allows, optional attention is paid to different libraries for Regular Expressions, unit testing and date and time. A follow up on this course is the course Advanced Python Programming .

Audience Course Python Programming

The Course Python Programming is intended for Developers and system administrators who want to learn how to program in Python and other persons who want to understand Python code.

Prerequisites Python Programming Course

Knowledge and experience with programming is not strictly required to participate in this course. Experience in programming is however is beneficial for a proper understanding.

Realization Training Python Programming

The theory is treated on the basis of presentation slides. Illustrative demos are used to clarify the concepts further. The theory is interspersed with practical exercises. The course material is in English.

Certificate Python Programming

Participants receive an official certificate Python Programming after successful completion of the course.

Modules

Module 1 : Python Intro

• What is Python?
• Python Features
• Getting Started
• Setting up PATH
• Environment Variables
• Running Python
• Interactive Mode
• Script Mode
• Identifiers
• Reserved Words
• Lines and Indentation
• Multi Line Statements
• Quotes

Module 2 : Variables and Types

• Variables
• Data Types
• Python Numbers
• Numerical Types
• Number Type Conversions
• Conversion Functions
• Built-in Number Functions
• Python Strings
• String Operations
• String Formatting
• Triple Quotes
• Raw and Unicode Strings
• Built-in String Functions

Module 3 : Data Structures

• Sequences and Lists
• Accessing and Updating Lists
• Multidimensional Lists
• List Operations
• List Functions and Methods
• Tuples
• Accessing Values in Tuples
• Tuple Functions
• Bytes and Byte Arrays
• Sets and Dictionaries
• Accessing Values in Dictionaries
• Properties of Dictionary Keys
• Dictionary Methods

Module 4 : Control Flow

• Control Flow Constructs
• if Statement
• else Statement
• elif Statement
• while Loop
• for Loop
• break Statement
• continue Statement
• Loop with else Combination
• pass Statement
• Python Operators
• Operator Precedence

Module 5 : Functions

• Function Syntax
• Calling Functions
• Pass by Value
• Pass by Reference
• Overwriting References
• Function Arguments
• Keyword Arguments
• Default Arguments
• Variable Length Arguments
• Lambda Functions
• return Statement
• Scope of Variables

Module 6 : Modules

• import Statement
• from…import Statement
• Locating Modules
• Creating and Using Modules
• dir Function
• Python Packages
• Explict Import Modules
• Implicit Import Modules
• Namespaces and Scoping
• globals and locals Functions
• reload Function
• Test Harnass

Module 7 : Comprehensions

• Functional Programming
• Map and Filter
• Reduce and Lambda
• List Comprehensions
• Filtered List Comprehension
• Syntactic Sugar
• Dictionary Construction with Zip
• Dictionary Comprehension
• Dictionary from Keys
• Set Comprehension

Module 8 : Exceptions

• Unexpected Errors
• Typed Exception Handling
• Exception Handling with Else
• except Clause Multiple Exceptions
• Standard Exceptions
• try-finally Clause
• Exception Arguments
• Raising Exceptions
• Example raising Exceptions
• User Defined Exceptions

Module 9 : Python IO

• Input and Output
• IO Module
• Opening Files
• File Open Modes
• Reading and Writing Binary Files
• Reading and Writing Text Files
• File Positions
• Renaming and Deleting Files
• Directory Methods
• Creating Directories

Module 10 : Database Access

• Python DB API
• Using with
• Inserting Data
• Prepared Statements
• Last inserted row id
• Retrieving Data
• Fetching Rows
• Parameterized Queries
• Transactions

Module 11 : Python Classes

• Object Orientation
• Creating Classes
• Class Members
• Creating and Using Objects
• Accessing Attributes
• Property Syntax
• Built-in Class Attributes
• Constructors and Destructors
• Encapsulation

Module 12 : Python Libraries

• Regular Expressions
• match Function
• Matching versus Searching
• Search and Replace
• Unit Testing
• Unit Test Example
• Date and Time Handling
• Time Tuple
• Calendar Functions