Python Programming Module

Modular programming languages – All the object-oriented programming languages like Python, R, Statistics etc., are modular programming languages.

Module

Python Fundamentals

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured, object-oriented and functional programming

Module 01

Python

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation.

Lesson1 : Python Fundamentals

Introduction
Python Character Set
Variables and Assignments
Simple Input and Output

Lesson 2: Data Handling

Data Types
Operators
Expressions

Lesson 3: Conditional & Iterative Statements

Types of Statements in Python
Statement Flow Control
The if Statements of Python
Looping
The range () function

Lesson 4: String Manipulation


Introduction
Traversing a String
String Operators
String Slices
String functions and Method

Lesson 5: List Manipulation

Introduction
Creating and accessing Lists
List Operations
List Functions and Methods

Lesson 6: Tuples

Introduction
Creating and Accessing Tuples
Tuple Operations
Tuple Functions and Methods

Lesson 5: List Manipulation

Introduction
Creating and accessing Lists
List Operations
List Functions and Methods

Lesson 6: Tuples

Introduction
Creating and Accessing Tuples
Tuple Operations
Tuple Functions and Methods

Lesson 7: Dictionaries

Introduction
Dictionary-Key:Value Pairs
Working with Dictionaries
Dictionary Functions and Methods

Lesson 8: Functions

Introduction
Syntax of Function
The return statement
Scope of Variables
Global Keyword
Types of Functions
Function Arguments

Lesson 9: File Handling

Need of Files
Opening a File
Writing to a File
Reading to File
File Pointer Positions

Lesson 10: Modules and Packages

What is a Module?
Importing Modules in Python
Using Random Module
OS Module
Statistics Module
Creating User-Defined Modules

Lesson 11: Object Oriented

Programming
Concept of OOPS
What is Class and Object
Features of OOPS
Methods
Encapsulation
Inheritance
Abstraction

Lesson 12: File Handling

Lambda Functions Introduction
Sample Programs using lambda functions
Map and lambda functions
Sorting data with lambda functions
Filter and lambda functions
Reduce and lambda functions
Applying aggregate functions
Conditional statements with lambda functions
Accessing nested list with lambda function and map function
Accessing dictionary keys and values using lambda functions

Lesson 13:Matplotlib

Plotting
Markers
Line
Labels
Grid
Subplots
Scatter
Bars
Histograms
Pie Chart

Lesson 14:Numpy

What is Numpy
Why use Numpy
Installation of Numpy
Import Numpy
Creating Arrays
Array Indexing
Array Slicing
Numpy Data Types
Numpy Array Shape
Array Reshape
Array Iterating
Joining Array
Numpy Splitting Array
Array Search
Array Sort
Array Filter

Lesson 15:Pandas

Introduction
Pandas Series
Pandas DataFrames
Read csv
Read json
Analysing Data
Cleaning Data
Cleaning Empty Cells
Cleaning Wrong Format
Cleaning Wrong Data
Removing Duplicates
Pandas Correlation
Dealing With Rows and Columns in CSV File
Time Series Data Analysis
Grouping Data
Merging, Joining and Concatenating

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