Python Basic

Introduction to Python

• Overview of Python: History, versions, and significance in the industry.

• Setting up the Python environment: Installing Python and a development environment (IDE).

• Basic syntax and principles: Understanding Python syntax, indentation, and basic principles.

Variables and Data Types

• Understanding variables: Declaration, assignment, and conventions.

• Data types: Introduction to Python's built in types (strings, numbers, lists, dictionaries, tuples, sets).

• Type conversion: Converting between different data types.

• Operators and Expressions

• Arithmetic operators: Addition, subtraction, multiplication, division, etc.

• Comparison and logical operators: Equal to, not equal to, greater than, less than, and, or, not.

• Bitwise and assignment operators: Understanding bitwise operations and assignment shortcuts.

String Manipulation

• Creating and accessing strings: Basic operations, indexing, and slicing.

• String methods: Searching, modifying, and case conversion.

• Formatting strings: Old-style (%) formatting, str.format(), and f-strings.

Collections

• Lists: Creation, indexing, slicing, and methods

• Tuples: Understanding immutability, creation, and usage

• Dictionaries: Key-value pairs, accessing, adding, and removing elements

• Sets: Characteristics, creation, and operations (union, intersection, difference).

Control Flow

• Conditional statements: if, elif, and else blocks.

• Looping constructs: for and while loops, iterating over collections, loop control statements (break,continue, pass).

Functions

• Defining and calling functions: Syntax, arguments, and return values

• Scope and lifetime of variables: Local, global, and nonlocal variables

• Anonymous functions: Understanding lambda functions and their uses.

Modules and Packages

• Importing modules: Using import statements, from...import syntax.

• Exploring standard modules: math, sys, os, random, etc.

File Handling

• Opening and closing files: Reading from and writing to files.

• File modes and operations: Understanding different file modes (read, write, append).

• Working with paths: Using the os and pathlib modules to handle file paths.

Introduction to Object Oriented Programming

• Classes and objects: Defining classes, creating instances.

• Attributes and methods: Instance variables, methods, the self parameter.

• Special methods: __init__, __str__, __repr__, and others.

Creating GUI Applications with PyQt

• Introduction to GUI Development

• Installing PyQt

• Understanding the PyQt application structure: QApplication, QWidget, and QMainWindow.

• Basic PyQt Widgets

• Exploring basic widgets: QLabel, QPushButton, QLineEdit, QTextEdit, etc.

• Layout management: Understanding layouts (HBoxLayout, QVBoxLayout, GridLayout) to design the form.

• Signals and Slots

• Introduction to event-driven programming: Understanding signals and slots mechanism in PyQt.

• Connecting widgets: Making applications interactive by connecting user actions to functions.

• Advanced Widgets and Dialogs

• Introduction to Qt Designer: Benefits and how it simplifies GUI design

• Creating forms with Qt Designer: Using drag-and-drop to design the UI, Converting .ui files to Python code: Using pyuic5 or pyuic6 command-line tool, Application Logic and Structure, Structuring a PyQt application: Separating business logic from UI code.Implementing MVC (Model-View-Controller) or MVP (Model-View-Presenter) patterns in PyQt applications , Database Connectivity

Connecting to database

• Connecting to databases: Using QSqlDatabase to connect to SQLite, MySQL, or PostgreSQL databases

• Performing CRUD operations: Displaying, adding, editing, and deleting database records through the GUI.

• Deploying PyQt Applications

final project

• Building a complete PyQt application: From concept to deployment. Projects could include a simple text editor, a task manager, or a database-driven application.