Python Programming Course with AI

Introduction to Python architecture, IDEs, interactive shell, program execution, syntax conventions, identifiers, keywords, and fundamental data types (integers, floats, complex, strings).

Arithmetic, comparison, logical, assignment, membership, and identity operators, along with string indexing, slicing, formatting, and list/tuple sequence manipulation.

Conditional branching (if, if-else, if-elif-else, nested conditions), iterative loops (for, while, range), and loop control mechanisms (break, continue, pass, loop else).

Function definitions, arguments (*args, **kwargs), return values, scope rules, higher-order functions, lambda expressions, generators with yield, modules, and pip package management.

Core OOP principles including classes, objects, constructors (__init__), instance/class attributes, encapsulation, inheritance, polymorphism, abstraction, and dunder magic methods.

Structured error handling with try-except-else-finally blocks, custom exceptions, reading and writing files (text, binary, CSV), file pointers, and Python application logging.

Implementation of core data structures (arrays, linked lists, stacks, queues, dictionaries, sets), along with linear/binary search algorithms and fundamental sorting techniques.

Introduction to NumPy N-dimensional arrays (ndarray), array creation routines, indexing, slicing, multi-dimensional array operations, universal functions, and broadcasting rules.

Data analysis using Pandas Series and DataFrames, loading datasets (CSV, JSON, Excel), handling missing values, filtering, sorting, grouping, aggregation, and dataset merging.

Creating line charts, bar graphs, histograms, and scatter plots with Matplotlib, combined with statistical distributions, heatmaps, and aesthetic multi-plot grids using Seaborn.

Text pattern matching with Python regex (re module), string extraction, HTML page inspection, and web scraping automation to extract and structure data from web pages.

Database connectivity fundamentals, connecting Python with SQL databases, schema creation, executing parameterized queries, transaction commits, rollbacks, and CRUD operations.

Diagnosing runtime and logic errors, debugging with Python Debugger (pdb), assertions, and developing automated test suites using the standard unittest framework.

Concurrency concepts, threading module, thread creation and execution, thread synchronization using locks, thread safety, and managing multi-tasking workflows.

Comprehensive hands-on programming assignments integrating logic building, file handling, OOP design, database persistence, and data processing into cohesive scripts.