Core Python Training
- What Is Python?
- Why Python?
- Who uses Python?
- History of Python
- Features of Python
- Where python can be used?
- Installing python from the command line
- IDLE
- Running python scripts on Windows/Unix/Linux
- Basic Syntax
- Identifiers
- Rules to define identifiers
- Single line comments
- Multi line comments
- Reserved Keywords
- Naming Conventions
- Print(),Type() and Id() functions
- Input() and raw_input() functin
- Type Conversion functions
- Del keyword
- What is Datatype?
- Built in Datatypes
- None Type
- Numeric Types
- Sequences
- Sets
- Mappings
- bool Datatype
- Arithmetic operators
- Assignment operators
- Unary minus operators
- Relational operators
- Logical operators
- Membership operators
- Identity operators
- Precedence of operators
- What is string?
- Reading Data from Strings in Python
- String slicing
- String Concatenation
- String Formatting in Python
- Working with string functions
- Conditional Statements
- Transfer Statements
- Iterative Statements
- if statement (One-way decisions)
- .. else statement (Two-way decisions)
- if .. else .. if .. else statement (Multi-Way)
- Nested if else
- Single line if else statement
- Values as Conditions
- Using Logical Operators
- Break statements
- Continue statements
- Pass statements
- While loop
- . Else
- For loop
- Infinite loop
- Nested loops
- . Else
- Introduction to collections
- Lists
- Tuples
- Sets
- Dictionaries
- Collections indexing and slicing
- Working with methods of collections
- Iterating through collections
- Nested collections
- Getting Dictionary values
- Counting with dictionaries
- Differences between List, tuple and set
- Declaration and accessing lists
- Data updation in lists
- Data deletion from lists
- Understanding basic list operations
- Python List built functions
- Alias and clone
- Sorting list elements
- Nested lists
- List Comprehensions
- Declaration and accessing Tuples
- Data Updation in “Tuples”
- Data Deletion from “Tuples”
- Understanding the Basic “Tuples” Operations
- Understanding Tuple “Indexing”, “Slicing” And “Matrixes”
- Python Tuple Built-in Functions
- Experiencing Tuple with Methods
- Declaration and accessing of Dictionary
- How to access elements from Dictionary
- Built in functions on Dictionary
- How to add an element to dictionary
- How to delete an element from dictionary
- Assignments on Dictionary
- Defining function
- Calling function
- Function parameters
- Types of arguments
- Handling return values
- Scope of variable – Global, local
- Passing collections to a function
- Lambda functions/anonymous functions
- Filter and map() functions
- Positional arguments
- Keyword arguments
- Default arguments
- Variable-length arguments
- What is module?
- Types of modules
- The import statement
- . Import
- Reloading module
- Dir() function
- main() function
- Introduction to packages
- py file
- Defining packages
- Importing from packages
- Defining sub packages
- Importing from sub packages
- Definitions of OS
- Date format conversions
- Usage of date, OS in real time
- Definition of date modules
- Definitions of Sub process modules
Advance Python Training
- What is a file?
- Opening a file
- Reading data from a file
- Writing data to a file
- Closing a file
- Working with the methods of file objects
- Replacing the content of file
- Working with directories
- Working CSV files
- Assignments
- Introduction to oops programming
- Features of OOPS
- Classes and Objects
- Encapsulation
- Abstraction
- Inheritance
- Polymorphism
- Creating a class
- Constructor
- Namespaces
- Types of Methods
- Passing Members of one Class to Another
- Constructors in inheritance
- The super() Method
- Types of inheritance
- Polymorphism
- Operator overloading
- Method overloading
- Method overriding
- Abstract method and Abstract class
- Interfaces in python
- Abstract classes vs interfaces
- Assignments
- Syntax errors
- Runtime errors
- What is exception?
- Need of exception Handling
- Predefined exceptions
- try, except and finally clauses
- Handling multiple exceptions
- Nested try, except and finally blocks
- Raise, assert statements
- Assignments
- Regular expressions syntax
- Understanding regular expressions
- Special characters
- Character classes
- Forming regular expressions
- Matching at beginning or end
- Match(), Search() and Sub() functions
- Splitting a string
- Replacing Text
- Flags
- Introduction to RDBMS
- Installation of oracle database access
- Creating oracle database instances
- Establishing connection with oracle
- Executing SQL queries
- Assignments
- How to parse XML
- How to create XML node
- How to Parse JSON
- Assignments
- Introduction to big data
- Pandas
- Numpy
- Matplotlib
- Introduction to Django
- Advantages of Django
- Django Installation
- Components of Django
Django for Python Training
- What is a Framework?
- Introduction to Django
- Django – Design Philosophies
- History of Django
- Why django and Features
- Environment setup
- Web Server
- MVC Architecture vs MVT Architecture
- Django MVC – MVT Pattern
- Creating the first Project
- Integrating the Project to IDE
- The Project Structure
- Running the server
- Solving the issues and Migrations
- Database Setup
- Setting Up Your Project
- What Django Follows
- Structure of django framework
- Model Layer
- What are models?
- Model fields
- Querysets
- Using HTML in Django
- Using CSS in Django
- Using the admin interface
- Customizing the admin interface
- Simple View
- Basic view (displaying hello world)
- Functional views, class based views
- Organizing Your URLs
- Role of urls in djnago
- Working urls
- Forms
- Sending Parameters to Views
- Templates layer
- The Render Function
- If/else
- For
- Comments
- Filters
- Using templates to display data in the site
- Creating a Model
- Manipulating Data (CRUD)
- Linking Models
- Sending a Simple E-mail
- Sending Multiple Mails with send_mass_mail
- Sending HTML E-mail
- Sending HTML E-mail with Attachments
- Forms basics
- Creating contact US form
- Form field examples
Complete Python Core and Advanced
- What is Python and history of Python?
- Unique features of Python
- Python-2 and Python-3 differences
- Install Python and Environment Setup First Python Program
- Python Identifiers, Keywords and Indentation
- Comments and document interlude in Python
- Command line arguments
- Getting User Input
- Python Data Types
- What are variables?
- Python Core objects and Functions
- Number and Maths
- Week 1 Assignments
- Introduction
- Lists in Python
- More About Lists
- Understanding Iterators
- Generators, Comprehensions and Lambda Expressions Introduction
- Generators and Yield
- Next and Ranges
- Understanding and using Ranges More About Ranges
- Ordered Sets with tuples
- Introduction to the section
- Python Dictionaries
- More on Dictionaries
- Sets
- Python Sets Examples
- Appending to Files and Challenge
- Writing Binary Files Manually
- Using Pickle to Write Binary Files
- Python user defined functions
- Python packages functions
- Defining and calling Function
- The anonymous Functions Loops and statement in Python
- Python Modules & Packages
- Overview of OOP
- Creating Classes and Objects Accessing attributes
- Built-In Class
- Attributes
- Destroying Objects
- What is Exception?
- Handling an exception
- try….except…else
- try-finally clause
- Argument of an Exception
- Python Standard Exceptions
- Raising an exceptions
- User-Defined Exceptions
- What are regular expressions?
- The match Function
- The search Function
- Matching vs searching
- Search and Replace
- Extended Regular Expressions
- Wildcard
- What is multithreading?
- Starting a New Thread
- The Threading Module
- Synchronizing Threads
- Multithreaded Priority Queue
- Python Spreadsheet Interfaces
- Python XML interfaces
- Python MySQL Database Access
- Install the MySQLdb and other Packages Create Database Connection
- CREATE, INSERT, READ, UPDATE and DELETE Operation DML and DDL Oepration with Databases
- Handling Database Errors
- Web Scraping in Python
- Numpy:
- Introduction to numpy
- Creating arrays
- Using arrays and Scalars Indexing Arrays
- Array Transposition
- Universal Array Function
- Array Processing
- Array Input and Output Pandas:
- What is pandas?
- Where it is used?
- Series in pandas
- Index objects
- Reindex
- Drop Entry
- Selecting Entries
- Data Alignment
- Rank and Sort
- Summary Statics
- Missing Data
- Index Heirarchy
- Matplotlib: Python For Data Visualization Welcome to the Data Visualiztion Section Introduction to Matplotlib
- Introduction to Django Web Framework
- Features of Django
- Installing Django
- MVC Model
- Http Concepts
- Views
- URL Mapping
- Templates and Forms
- Models and Dynamic Webpages
- Serialization
- Parsing XML and Json with python
