Theme

Units

Opening meeting

Zoom meeting: Overview of course structure, grading, and expectations. Learn to install Python, set up IDEs, navigate materials, submit assignments, and access support, ensuring a smooth start to your learning journey.

Introduction

Unit 1: Course Overview – Introduction to course objectives, expectations, and study materials. Learn how to navigate the online platform and organize your learning process effectively.

Unit 2: What is Python? – Understand the fundamentals of Python, its history, applications, and advantages. Get familiar with coding environments like IDLE and PyCharm.

Unit 3: Writing Your First Script – Learn how to write, execute, and debug basic Python scripts using IDLE and PyCharm, building confidence in your coding abilities

Python basics

Unit 1: Introduction to Programming – Explore programming concepts: compilation vs. interpretation, Python’s advantages and limitations, and working in environments like IDLE, PyCharm, and ArcGIS Pro.

Unit 2: Core Python Elements – Learn about numbers, variables, expressions, functions, user input, and comments. Develop basic interactive scripts.

Data Structures

Unit 1: Sequences – Understand different sequence types (lists, tuples, strings) and their properties, including indexing, slicing, and iteration.

Unit 2: Lists – Learn about list creation, modification, iteration, and common list operations like sorting and filtering.

Unit 3: Tuples – Explore immutable sequences, when to use tuples, and how they compare to lists.

Data Structures

Unit 1: Sets – Discover how sets store unique elements, perform set operations, and apply them in real-world scenarios.

Unit 2: Dictionaries – Learn how key-value pairs work, dictionary methods, and efficient data retrieval techniques.

Unit 3: Strings – Master string manipulation techniques, including formatting, concatenation, slicing, and built-in string functions.

Conditionals & Loops

Unit 1: Conditional Statements – Implement decision-making using if, else, and elif statements. Learn Boolean logic and logical operators.

Unit 2: Loops for Efficiency – Master for and while loops for repetitive tasks and learn how to exit loops using break and continue statements.

Unit 3: Key Statements – Explore multi-line statements, return, try-except error handling, with statements for resource management, and other key Python constructs.

Functions

Unit 1: Defining and Calling Functions – Learn how to create reusable functions, pass parameters, and return values to write clean, modular code.

Unit 2: Recursive Functions – Understand recursion, how it differs from iteration, and its role in solving complex problems efficiently.

Polymorphism

Unit 1: Introduction to OOP – Learn about classes, objects, and how OOP principles improve code structure and reusability.

Unit 2: Encapsulation, Inheritance & Abstraction – Discover the power of class inheritance, encapsulation, and abstraction for designing scalable applications.

Object Oriented Programming (OOP)

Unit 1: Implementing Classes & Objects – Create classes with constructors, properties, and methods to represent real-world entities.

Unit 2: Extending Classes – Learn how to design complex classes, reuse code through inheritance, and implement internal and external class structures.

Mid-course meeting

Zoom meeting: Review of Lessons 1-8 – Recap key concepts, clarify doubts, and prepare for the next phase of the course.

Advanced themes in Python IDEs

Unit 1: Debugging & Testing – Use debugging tools, error tracing, and testing techniques to improve code quality and performance.

Unit 2: Exception Handling – Handle runtime errors using try-except blocks to make programs more robust and reliable.

Unit 3: Project Development – Learn how to structure Python projects using Jupyter Notebooks, ArcGIS Notebooks, and integrate Python with GIS tools.

Files and Databases

Unit 1: Handling Files – Read, write, and process CSV and text files efficiently in Python.

Unit 2: Database Connectivity – Connect to Microsoft Access and SQL Server using PYODBC, write queries, and manage relational data.

Extending python

Unit 1: NumPy Library – Use NumPy for numerical computing, including array operations and mathematical computations.

Unit 2: Pandas Library – Learn how to manipulate structured data using Pandas for analysis and visualization.

Extending python cont.

Unit 1: Matplotlib for Data Visualization – Generate plots and graphs to visualize data effectively.

Unit 2: SciPy for Scientific Computing – Work with SciPy’s advanced mathematical and statistical functions.

Course Summary

Zoom meeting: Summarize key topics, address remaining questions, and discuss the format of the final exam.