Course Syllabus:
Introduction to Python
- What is Python programming language?
- Advantages and applications of Python
- Installation of Python
- Python Keywords
- The statement, Indentation, and Comment in Python
- Rule of Variables in Python
Python Operators
- What are operators in Python?
- Types of operators
- Arithmetic operator
- Assignment operator
- Comparison operator
- Logical operator
- Bitwise operator
- Special operators
- Ternary Operator
Course Syllabus:
Python Operators
- What is Python programming language?
- Advantages and applications of Python
- Installation of Python
- Python Keywords
- The statement, Indentation, and Comment in Python
- Rule of Variables in Python
Introduction to Python
- What are operators in Python?
- Types of operators
- Arithmetic operator
- Assignment operator
- Comparison operator
- Logical operator
- Bitwise operator
- Special operators
- Ternary Operator
Python Data Types
- Get the Type of data type
- NumbersPython String
- Python List
- Python Tuples
- Python Sets
- Python Dictionary
- Type Conversion
Python Control Flow
- Python Conditional statements
- Python For Loop
- Python While Loop
- Python break statement
- Python continue statement
- Python pass statement
Python Strings
- Access characters/elements in a string
- Concatenation of two or more string
- String Slicing
- Iterating string
- Delete or Change String
- String Formatting
- String Methods
- Escape Characters
Lists in Python
- Knowing the size of the list
- Adding elements to a list
- Accessing elements from the list
- Delete or Remove elements from the list
- Slicing of a list
- Iterating a list
- List Comprehension
- Nested list
- List Methods
Python Tuples
- Accessing elements in a Tuple
- Tuple Slicing
- Update Tuple
- Unpack Tuple
- Concatenation of Tuples
- Changing and deleting Tuples
- Python Tuple Methods
Dictionary in Python
- Accessing Elements from a Dictionary
- Add/Change Elements in a Dictionary
- Nested Dictionary
- Deleting Elements from Dictionary
- Dictionary Methods
Sets in Python
- Adding Elements to a Set
- Accessing a Set
- Removing Elements from a Set
- Set Methods
Python Functions
- Syntax of Function
- Types of Functions
- Doc, string
- Arguments
- Recursion in Python
- Python Recursive Function
- Lambda functions in Python
- Modules in python
- Packages
Python OOP
- Class
- Object
- Inheritance
- iterators
- Encapsulation
- Polymorphism
- Python Objects and Class
- Constructors in Python
- Deleting Attributes and objects
- Multiple Inheritance
- Multilevel Inheritance
Exception Handling in Python
- Syntax Error
- Exceptions
- Try and Accept in Exception Handling
- Raising Exception
- Python Errors and Built-in Exceptions
Course Syllabus:
Python Operators
- What is Python programming language?
- Advantages and applications of Python
- Installation of Python
- Python Keywords
- The statement, Indentation, and Comment in Python
- Rule of Variables in Python
Introduction to Python
- What are operators in Python?
- Types of operators
- Arithmetic operator
- Assignment operator
- Comparison operator
- Logical operator
- Bitwise operator
- Special operators
- Ternary Operator
Python Data Types
Lists in Python
- Knowing the size of the list
- Adding elements to a list
- Accessing elements from the list
- Delete or Remove elements from the list
- Slicing of a list
- Iterating a list
- List Comprehension
- Nested list
- List Methods
File Handling
- Get the Type of data type
- NumbersPython String
- Python List
- Python Tuples
- Python Sets
- Python Dictionary
- Type Conversion
Python Control Flow
- Python Conditional statements
- Python For Loop
- Python While Loop
- Python break statement
- Python continue statement
- Python pass statement
Python Strings
- Access characters/elements in a string
- Concatenation of two or more string
- String Slicing
- Iterating string
- Delete or Change String
- String Formatting
- String Methods
- Escape Characters
- Open a file in Python
- Close a file in Python
- Write to file in Python
- Read files in Python
- Python directory and files management
Conditional Statements
- Conditional Statements & Loop Conditional Statements
- (If, If-else, If-elif-else, Nested-if etc.) and
- loop control statements (for, while,
- Nested loops, Break, Continue, Pass statements)
Python Pickle
- Introduction to Pickle
- Storing Data with Pickles
- Pickling files
- Unpickling files
Python Tkinter
- Introduction to Tkinter
- Widgets in Tkinter
- Geometry Management
- Organizing Layout and Widgets
- Binding Functions
- Mouse Clicking Events
- Drop-Down Menus
- Alert Box
- Simple Shapes
- Image and Icons
Data Visualization using Matplotlib
- Introduction, plot(),Controlling Line Properties, Subplotwith Functional Method, Multiple Plot,Working with Multiple Figures,Histograms
Python Tuples
- Accessing elements in a Tuple
- Tuple Slicing
- Update Tuple
- Unpack Tuple
- Concatenation of Tuples
- Changing and deleting Tuples
- Python Tuple Methods
Dictionary in Python
- Accessing Elements from a Dictionary
- Add/Change Elements in a Dictionary
- Nested Dictionary
- Deleting Elements from Dictionary
- Dictionary Methods
Sets in Python
- Adding Elements to a Set
- Accessing a Set
- Removing Elements from a Set
- Set Methods
Python Functions
- Syntax of Function
- Types of Functions
- Doc, string
- Arguments
- Recursion in Python
- Python Recursive Function
- Lambda functions in Python
- Modules in python
- Packages
Python OOP
- Class
- Object
- Inheritance
- iterators
- Encapsulation
- Polymorphism
- Python Objects and Class
- Constructors in Python
- Deleting Attributes and objects
- Multiple Inheritance
- Multilevel Inheritance
Exception Handling in Python
- Syntax Error
- Exceptions
- Try and Accept in Exception Handling
- Raising Exception
- Python Errors and Built-in Exceptions
Data Visualization using Seaborn
- Introduction to Seaborn and Visualizing statistical relationships, Import and Prepare data. Plotting with categorical data and Visualizing linear relationships.
- Seaborn Exercise
Data Analysis Using Pandas
- Pandas : Introduction to Pandas
- Importing data into Python
- Pandas Data Frames, Indexing DataFrames, Basic Operations With Dataframe, Renaming Columns, Subsetting and filtering a data frame
Data Analysis Using Numpy
- Introduction to Numpy. Array Creation, Printing Arrays, BasicOperation - Indexing, Slicing and iterating, Shape Manipulation -Changing shape, stacking and splitting of array
- Vector stacking, Broadcasting with Numpy, Numpy for Statistical Operation
Fundamentals of Math and Probability
- Probability distributed function & cumulative distribution function. Conditional Probability, Baye’sTheorem
- Problem solving for probability assignments
- Random Experiments, Mutually Exclusive Events, Joint Events, Dependent & Independent Events
Data Processing & Exploratory Data Analysis
- What is Data Wrangling
- Data Pre-processing and cleaning?
- How to Restructure the data?
- What is Data Integration and transformation
Introduction to Database (SQL)
- Introduction
- Database Fundamentals
- SQL Essentials
- Installation of MySQL
- Exploring SQL Statements
- SQL Query Basics
- Advanced SQL Concepts
File Handling
- Open a file in Python
- Close a file in Python
- Write to file in Python
- Read files in Python
- Python directory and files management
Conditional Statements
- Conditional Statements & Loop Conditional Statements
- (If, If-else, If-elif-else, Nested-if etc.) and
- loop control statements (for, while,
- Nested loops, Break, Continue, Pass statements)
Python Pickle
- Introduction to Pickle
- Storing Data with Pickles
- Pickling files
- Unpickling files
Python Tkinter
- Introduction to Tkinter
- Widgets in Tkinter
- Geometry Management
- Organizing Layout and Widgets
- Binding Functions
- Mouse Clicking Events
- Drop-Down Menus
- Alert Box
- Simple Shapes
- Image and Icons
Data Visualization using Matplotlib
- Introduction, plot(),Controlling Line Properties, Subplotwith Functional Method, Multiple Plot,Working with Multiple Figures,Histograms
Data Visualization using Seaborn
- Introduction to Seaborn and Visualizing statistical relationships, Import and Prepare data. Plotting with categorical data and Visualizing linear relationships.
- Seaborn Exercise
Data Analysis Using Pandas
- Pandas : Introduction to Pandas
- Importing data into Python
- Pandas Data Frames, Indexing DataFrames, Basic Operations With Dataframe, Renaming Columns, Subsetting and filtering a data frame
Data Analysis Using Numpy
- Introduction to Numpy. Array Creation, Printing Arrays, BasicOperation - Indexing, Slicing and iterating, Shape Manipulation -Changing shape, stacking and splitting of array
- Vector stacking, Broadcasting with Numpy, Numpy for Statistical Operation
Fundamentals of Math and Probability
- Probability distributed function & cumulative distribution function. Conditional Probability, Baye’sTheorem
- Problem solving for probability assignments
- Random Experiments, Mutually Exclusive Events, Joint Events, Dependent & Independent Events
Data Processing & Exploratory Data
Analysis
- What is Data Wrangling
- Data Pre-processing and cleaning?
- How to Restructure the data?
- What is Data Integration and transformation
Django
- ntroduction to Django
- Difference between an App and Project
- Understanding Migrations and their purpose
- Admin Part: Creating a Superuser in Python
- Views in Django URL Routing
- Render and Relative Import
- Overview of Settings File in Django
- Configuring Templates in Django
- Understanding Models
- Linking Models to Admin
- Creating Model Forms
- Form Validation in Django
- Context in Django
- Forms in a view
- Custom Forms
- Setting up Email in Projects
- Static Files and Serving in Django
- Bootstrap Grid System
- Introduction to CSS and Blocks
- URL Names as Links
- Adding Authentication in Django Project
- Authentication Links in Navigation Bar
- Adding Login Form in Bootstrap
- Query Set Basics
- Rendering Images and Videos on our site
