PYTHON Training

BENEFITS AND ADVANTAGES OF  OUR TRAINING.

1. Online Real Time Trainings
   – Learn from the comforts of your home.
    Learn through Interactive live sessions from the best trainers in the domain.
   – Learn at your convenient timings in the evenings or weekends.

2. 100 % Placement Support
    Tie up with IT companies.
   – Dedicated in house team for placement support.
    Training on CV preparation and interview techniques.

3. Experienced Trainers
    With industry expertise.
   – With more than 15 years of training experience.
    With focus on providing training as per industry requirements.

4. Involvement In Project Works
    Facilitating application of skill and knowledge for industry level projects.
    Making candidates industry ready.

5. Trainings In Small Batches
    Ensures individual attention
    Enables better interactions
    Ensures very quick clearance of doubts.
   – Makes monitoring of progress easy.

Python is a premier, flexible, and powerful open-source language that is easy to learn, easy to use,and has powerful libraries for data manipulation and analysis.  Python has been used in scientific applications and  domains such as  Oil and Gas, Financial applications,and Signal Processing. Today, it is the most preferred language for Artificial Intelligence (AI), Robotics, Machine learning, Data analysis, Web services etc.

Upon completing this course, you will be able to: Write Python scripts and test code 

What are the prerequisites for this Python Programming Course?

There are no specific prerequisites for taking up Python Programming Training. Basicunderstanding of Computer Programming terminologies is beneficial.

Features

  • Project Oriented Training
  • Trainer With More than 16 years of Experience.
  • Small Batches – Ensure Individual Attention.
  • Live Project Experience.
  • Learn advanced techniques and procedures.
  • Assured Job Support

Syllabus

PYTHON

Introduction to Python:

  • History and features of Python
  • Python installation and setup
  • Running Python programs 

Variables and Data Types:

  • Numeric data types (int, float, complex)
    Text data type (str)\
  • Boolean data type (bool)
    Variable assignment and reassignment
  • Type casting and conversion

Operators and Expressions:

  • Arithmetic operators (+, -, *, /, %, **)
  • Comparison operators (>, <, >=, <=, ==, !=)
  • Logical operators (and, or, not)
  • Assignment operators (=, +=, -=, *=, /=)
  • String concatenation and slicing

Control Flow Statements:

  • Conditional statements (if-else, elif)
  • Looping statements (for, while)
  • Branching statements (break, continue)
    Pass statement

Data Structures:

  • Lists, tuples, and dictionaries
  • Accessing and manipulating elements in data structures
  • List comprehension
    Sets and frozen sets
  • Stacks and queues

Functions:

  • Defining and calling functions
  • Parameters and return values
  • Default arguments and keyword arguments
  • Lambda functions
    Recursion
Course Duration: 1- 1 1⁄2 months
Schedule: 2-3 Hours /day,
Monday- Friday

File Handling:

  • Reading from and writing to files
  • Opening and closing files
  • File modes (read, write,append)
  • Error handling with files
    Working with file paths

Modules and Packages:

  • Importing modules
  • Creating and using packages
  • Module aliases and namespace
  • Built-in modules (e.g., math, random, datetime)
  • Creating and using custom modules

Object-Oriented Programming (OOP):

  • Classes, objects, and instances
  • Attributes and methods
    Inheritance and
  • polymorphism
  • Encapsulation and data hiding
  • Overriding and overloading

Exception Handling:

  • Types of exceptions (built-in and custom)
  • try-except-else-finally block
  • Raising exceptions
  • Exception hierarchy
    Handling specific exceptions

Functional Programming:

  • Iterators
  • Generators
  • The lambda construct
  • Comprehensions
  • Map
  • Reduce
  • filter

Database Programming with MySQL:

  • MySQL data types
  • CRUD Operations
  • Subquery
  • Join
  • Aggregate functions
  • Procedures

PYTHON AND DJANGO

Introduction to Python:

  • History and features of Python
  • Python installation and setup
  • Running Python programs

Variables and Data Types:

Numeric data types (int, float, complex)
Text data type (str)
Boolean data type (bool)
Variable assignment and reassignment
Type casting and conversion

Operators and Expressions:

Arithmetic operators (+, -, *, /, %, **)
Comparison operators (>, <, >=, <=, ==, !=)
Logical operators (and, or, not)
Assignment operators (=, +=, -=, *=, /=)
String concatenation and slicing

Control Flow Statements:

Conditional statements (if-else, elif)
Looping statements (for, while)
Branching statements (break, continue)
Pass statement

Data Structures:

Lists, tuples, and dictionaries
Accessing and manipulating elements in data structures
List comprehension
Sets and frozen sets
Stacks and queues

Functions:

Defining and calling functions
Parameters and return values
Default arguments and keyword arguments
Lambda functions
Recursion

File Handling:

Reading from and writing to files
Opening and closing files
File modes (read, write, append)
Error handling with files
Working with file paths

Course Duration: 2 1⁄2 - 3 months
Schedule: 2-3 Hours /day,
Monday- Friday

Modules and Packages:

  • Importing modules
  • Creating and using packages
  • Module aliases and namespace
  • Built-in modules (e.g., math, random, datetime)
  • Creating and using custom modules

Object-Oriented Programming (OOP):

  • Classes, objects, and instances
  • Attributes and methods
    Inheritance and polymorphism
  • Encapsulation and data hiding
  • Overriding and overloading

Exception Handling:

  • Types of exceptions (built-in and custom)
    try-except-else-finally block
  • Raising exceptions
  • Exception hierarchy
  • Handling specific exceptions

Functional Programming:

  • Iterators
  • Generators
  • The lambda construct
  • Comprehensions
  • Map
  • Reduce
  • filter

Database Programming with MySQL:

  • MySQL data types
  • CRUD Operations
  • Subquery
  • Join
  • Aggregate functions
  • Procedures

Web Development Basics:

  • HTML
  • CSS
  • Java script
  • Web client
  • Web server

Django Framework

  • Django Architecture
  • Models
  • Views
  • Templates
  • Form Processing
  • Sessions
  • URLs and Routing
  • Database Integration

PYTHON AND FULL STACK

Introduction to Python:


History and features of Python
Python installation and setup
Running Python programs

Variables and Data Types:


Numeric data types (int, float, complex)
Text data type (str)
Boolean data type (bool)
Variable assignment and reassignment
Type casting and conversion

Operators and Expressions:


Arithmetic operators (+, -, *, /, %, **)
Comparison operators (>, <, >=, <=, ==, !=)
Logical operators (and, or, not)
Assignment operators (=, +=, -=, *=, /=)
String concatenation and slicing

Control Flow Statements:


Conditional statements (if-else, elif)
Looping statements (for, while)
Branching statements (break, continue)
Pass statement

Data Structures:


Lists, tuples, and dictionaries
Accessing and manipulating elements in data structures
List comprehension
Sets and frozen sets
Stacks and queues

Functions:


Defining and calling functions
Parameters and return values
Default arguments and keyword arguments
Lambda functions
Recursion

File Handling:


Reading from and writing to files
Opening and closing files
File modes (read, write, append)
Error handling with files
Working with file paths

Course Duration: 2 1⁄2 - 3 months
Schedule: 2-3 Hours /day,
Monday- Friday

Modules and Packages:

  • Importing modules
  • Creating and using packages
  • Module aliases and namespace
  • Built-in modules (e.g., math, random, datetime)
  • Creating and using custom modules

Object-Oriented Programming (OOP):

  • Classes, objects, and instances
  • Attributes and methods
    Inheritance and polymorphism
  • Encapsulation and data hiding
  • Overriding and overloading

Exception Handling:

  • Types of exceptions (built-in and custom)
    try-except-else-finally block
  • Raising exceptions
  • Exception hierarchy
  • Handling specific exceptions

Functional Programming:

  • Iterators
  • Generators
  • The lambda construct
  • Comprehensions
  • Map
  • Reduce
  • filter

Database Programming with MySQL:

  • MySQL data types
  • CRUD Operations
  • Subquery
  • Join
  • Aggregate functions
  • Procedures

Web Development Basics:

  • HTML
  • CSS
  • Java script
  • Web client
  • Web server

Django Framework

  • Django Architecture
  • Models
  • Views
  • Templates
  • Form Processing
  • Sessions
  • URLs and Routing
  • Database Integration
  • React JS