Python Courses

Transform Your Future with AAIS Learning

Python Courses




Introduction to Python

  • Introduction to Python programming language
  • History and evolution of Python
  • Features and advantages of Python
  • Installing Python (Windows, macOS, Linux)
  • Setting up Python development environment (IDEs: PyCharm, Jupyter Notebook, VS Code)
  • Writing and running Python scripts
  • Understanding Python syntax and indentation
  • Comments and docstrings in Python
  • Python version control and management (virtual environments)

Basic Python Syntax and Data Types

  • Python variables and data types (int, float, string, boolean)
  • Type conversion and casting
  • Operators in Python (arithmetic, assignment, comparison, logical, bitwise)
  • String manipulation and formatting
  • Working with numbers (math module)
  • Input and output operations (input function, print function)
  • Control flow statements (if, elif, else)
  • Looping structures (for loops, while loops)

Functions and Modules

  • Defining and calling functions
  • Function arguments (positional arguments, keyword arguments, default arguments)
  • Variable scope (local variables, global variables, nonlocal keyword)
  • Recursion and recursive functions
  • Anonymous functions (lambda functions)
  • Built-in functions and modules (math, random, datetime, etc.)


Composite Data Types

  • Lists: Creating lists, indexing, slicing, list methods (append, extend, insert, remove, pop, etc.), list comprehension
  • Tuples: Creating tuples, accessing elements, tuple methods, immutable nature
  • Dictionaries: Creating dictionaries, accessing elements, dictionary methods, iterating through dictionaries

File Handling and Exception Handling

  • Opening and closing files (open function, with statement)
  • Reading and writing text files
  • Reading and writing binary files
  • File and directory manipulation (os module, shutil module)
  • Exception handling in Python (try-except-else-finally)
  • Handling specific exceptions (except clause, multiple except clauses)
  • Raising exceptions (raise statement, custom exceptions)

Building GUI Applications with Tkinter

  • Introduction to GUI programming
  • Setting up a GUI application with Tkinter
  • Creating widgets (buttons, labels, entry fields, etc.)
  • Layout management with Tkinter (pack, grid, place)
  • Event handling in Tkinter
  • Building interactive GUI applications
  • Best practices for designing user-friendly interfaces


Data Visualization with Matplotlib and Seaborn

  • Introduction to data visualization
  • Creating basic plots with Matplotlib (line plots, scatter plots, bar plots, histograms)
  • Customizing plots with Matplotlib (labels, titles, colors, styles)
  • Introduction to Seaborn for statistical data visualization
  • Advanced plotting techniques with Seaborn (box plots, violin plots, pair plots)
  • Plotting geographic data with Cartopy

Database Management with Python

  • Introduction to databases and database management systems (DBMS)
  • Connecting to databases in Python
  • CRUD operations (Create, Read, Update, Delete) with databases
  • SQLite database operations in Python
  • MySQL database operations in Python
  • Database transactions and error handling
  • Using ORMs (Object-Relational Mappers) like SQLAlchemy

Introduction to Machine Learning with Python

  • Overview of machine learning concepts
  • Introduction to scikit-learn library
  • Loading and preprocessing datasets
  • Supervised learning algorithms (classification, regression)
  • Unsupervised learning algorithms (clustering, dimensionality reduction)
  • Evaluating and optimizing machine learning models
  • Model deployment and integration with Python applications

Object-Oriented Programming (OOP)

  • Understanding OOP concepts (classes, objects, methods, attributes)
  • Creating classes and objects in Python
  • Constructors and destructors
  • Class inheritance and method overriding
  • Encapsulation and data hiding
  • Polymorphism (method overloading, method overriding)
  • Special methods (magic methods)
  • Abstract classes and interfaces

Advanced Web Development with Django

  • Introduction to Django framework
  • Django project structure and configuration
  • Creating Django views and URL patterns
  • Django models and database migrations

Introduction to Web Development with Flask

  • Overview of web development concepts
  • Introduction to Flask framework
  • Setting up a Flask application
  • Routing and URL mapping