IT-IPT01 Integrative Programming Overview

Study Notes

Data Integration: Merges data from varied sources for uniformity, facilitating consistent information across a system.
Application Integration: Links distinct software applications using APIs, middleware, or other technologies to enable effective communication.
Process Integration: Aligns business processes and workflows for efficiency, often using software tools to automate and streamline operations.
System Integration: Combines hardware and software components across multiple technologies. Incorporates legacy systems with new applications and connects on-premises to cloud services.

Efficiency: Automation of workflows reduces manual tasks and accelerates processes.
Consistency: Ensures uniform data access across all system parts, mitigating errors and enhancing decision-making.
Scalability: Simplifies the addition of new functions or systems without disrupting current operations.
User Experience: Enhances user experience by providing a cohesive interface, eliminating the need for switching systems or transferring data manually.

Complexity: Integration can be intricate and require specialized knowledge, particularly for systems on different platforms.
Security: Data exchange during integration can pose security risks if not properly managed.
Maintenance: Continuous upkeep is necessary to ensure integrated systems function well with updates or changes to components.

Customer Relationship Management (CRM): Manages customer interactions and stores vital information like contact details and sales history.
Enterprise Resource Planning (ERP): Facilitates core business processes including finance and human resources.
E-commerce: Represents successful system integration through the interaction of multiple systems to create a unified shopping experience.
Banking and Finance: Relies on seamless system interaction to deliver secure and efficient financial services.

Created in 1991 by Guido van Rossum; named after Monty Python.
Acts as a versatile scripting language for small to medium projects.
Utilized by major companies such as Google, Yahoo!, and YouTube, and in various Linux distributions.

Interpreted Language: Executes code directly through an interpreter, allowing immediate results without prior compilation.
Straightforward Syntax: Simplistic coding approach exemplified by equivalent "Hello, world!" scripts in Java and Python.

Windows: Download from the official website; follow the easy install wizard.
Mac OS X: Python typically pre-installed; can run via terminal.
Linux: Often pre-installed; check by running python in the terminal.
Android: Install applications like Pydroid 3 for Python use.

Identifiers are names for variables, functions, classes, etc., and must start with a letter or underscore.
Cannot contain special characters and are case-sensitive, making 'Manpower' and 'manpower' different.

Class names start with uppercase letters; other identifiers with lowercase letters.
Leading underscores imply that an identifier is private; double leading underscores indicate a strongly private identifier.

Python has reserved keywords that cannot be used as identifiers, such as and, for, def, class, and if.

No braces are used for blocks; indentation level defines code structure and must be consistent within a block.

Statements typically end with a newline, but continuation is possible with a backslash (\).
Comments can be added to explain code and enhance readability.