Python Programming Course

 An Introduction to Python

• What can Python do?
• Why Python?
• Good to know
• Python Syntax compared to other programming languages
• Python Install
• Understand various IDEs (e.g., Jupyter, PyCharm, VS Code).

Beginning Python Basics

• The print statement
• Comments
• Python Data Structures & Data Types
• String Operations in Python
• Simple Input & Output
• Simple Output Formatting
• Operators in python  (arithmetic, comparison, logical)

Python Program Flow

• Indentation
• The If statement and its’ related statement
• An example with if and it’s related statement
• The while loop
• The for loop
• The range statement
• Break & Continue
• Assert
• Examples for looping
• Implement nested control structures for complex logic

Collections

• List
• Set
• Tuple
• Dictionary

Functions & Modules

• Built in functions and modules
• Create your own functions
• Functions Parameters
• Variable Arguments
• Scope of a Function
• Function Documentations
• Lambda Functions & map
• Exercise with functions
• Create a Module
• Standard Modules

File Handling

• File handling Modes
• Reading Files
• Writing & Appending to Files
• Handling File Exceptions
• The with statement
• Handle different file types (Text, CSV, Avro, Parquet).

Exceptions Handling

• Errors
• Exception handling with try, except, finally.
• handling Multiple Exceptions
• Writing your own Exception

OOPS programming In Python

• New Style Classes
• Creating Classes
• Instance Methods
• Inheritance
• Polymorphism
• Exception Classes & Custom Exceptions

Generators and iterators

• Iterators
• Generators
• The Functions any and all
• With Statement
• Data Compression

Data Structures

• List Comprehensions
• Nested List Comprehensions
• Dictionary Comprehensions
• Functions
• Default Parameters
• Variable Arguments
• Specialized Sorts

Regular Expression

• Split
• Working with special characters, date, emails
• Quantifiers
• Match and find all
• character sequence and substitute
• Search method

Advanced  concepts Python full stack developer essentials

Accessing API 

• Introduction
• Facebook Messenger
• Openweather

DJANGO/Flask

• Creating a Project
• Usage of Project in depth Discussion
• Creating an Application
• Understanding Folder Structure
• Creating a Hello World Page
• Database and Views
• Static Files and Forms
• API and Security

Advanced concepts - Data Engineering/Analyst and ML essentials

PySpark

• Core concepts of Apache Spark
• Spark Architecture
• Working with DataFrames in PySpark
• PySpark for ETL (Extract, Transform, Load)
• Project 1: ETL Pipeline with PySpark

Build a full ETL pipeline for ingesting, transforming, and storing large datasets using PySpark

Airflow

• What is Airflow
• Core features and components of Airflow
• Creating a simple DAG.
• Tasks and Operators
• Airflow Scheduling
• Exploring the Airflow Web UI

Pandas

• Introduction to Data Science with Pandas
• Pandas Data Structures
• Exploring DataFrames
• Data Selection, Indexing, and Filtering
• Aggregation and Grouping Data
• Merging, Joining, and Concatenating Data

NumPy

• Introduction to Data Science with Numpy
• Overview of NumPy and its advantages over Python lists
• Array Indexing and Slicing
• Array Aggregation Functions