Python Programming

Python Programming course is a training program designed to lead the participant to understand how to work successfully work in this domain.

Our Python Training Course is delivered in classroom and online batches held on weekdays and weekends. Batches are held in regular classroom and fast-track mode.

What skills will the student gain?

Working with Functions
After the completion of this course, the student will be able to:
  • Learn the basics of Python Programming.
  • Learn the use of online tools like Facebook, Instagram and others in Social Media Advertising.
  • Be able to start working in the Python Programming domain
  • Learn the nuances of Python Programming and how it can be used for advanced applications.
  • Be able to do basic application design using Python Programming
  • Prepare and get ready to work in this domain
Mode of Training
  • The classes are delivered during Weekday or Weekend in classroom or online modes
Locations:
  • The training is offered to participants from India and abroad from locations like Chennai, Bangalore, Kolkata, Pune, Hyderabad, Indore, Bhopal, Lucknow, Mumbai, NCR and many other cities.

CourseOutline

Detailed Course Contents for Python Course:
  • Installing Python
  • Installing Python In Windows
  • Writing Your First Program - Hello, World!
  • Entering And Running A Program In Windows
  • Exercise 1
  • Python Basic Data Types And Variables
  • Expressions, Statements, Variables
  • Working With Numbers
  • Working With Strings
  • Working With Booleans
  • Working With Lists
  • Working With Dictionaries
  • Working With Tuples
  • Exercise 1
  • Exercise 2
  • Python Input/Output
  • Using The Print Function - Part 1
  • Using The Print Function - Part 2
  • Getting Input From The User
  • Exercise 1
  • Making Decisions - if Statements
  • The Relational Operators
  • The Logical Operators
  • > Simple if Statement
  • > if-else Statement
  • > if-elif Statement
  • Exercise 1
  • Exercise 2
  • while Loops
  • Introduction To while Loops
  • Count-Controlled while Loops
  • Event-Controlled while Loops
  • Using continue
  • Using break
  • Working With Files - Part 1
  • Working With Files - Part 2
  • Exercise 1
  • Exercise 2
  • for Loops
  • Introduction To for Loops - Part 1
  • Introduction To for Loops - Part 2
  • for Loops With Lists
  • for Loops With Tuples
  • for Loops With Dictionaries
  • for Loops With Files
  • Exercise 1
  • Exercise 2
  • Iterators
  • Understanding Iterators
  • Using iter And next
  • Iterators And Dictionaries
  • Other Iterators
  • Exercise 1
  • List Comprehensions
  • Introduction To List Comprehensions
  • Using List Comprehensions With Files
  • Exercise 1
  • Functions
  • Introduction To Functions - Why
  • Defining Functions
  • Calling Functions
  • Functions With Multiple Arguments
  • Predicate Functions
  • Exercise 1
  • Exercise 2
  • More On Functions
  • Recursive Functions - Part 1
  • Recursive Functions - Part 2
  • Function Objects
  • Anonymous Functions
  • Higher-Order Functions
  • Exercise 1
  • Exercise 2
  • Scope
  • Global Scope
  • Local Scope
  • Nested Scope
  • Exercise 1 - Part 1
  • Exercise 1 - Part 2
  • Modules
  • Using Built-In Modules
  • User-Defined Modules - Part 1
  • User-Defined Modules - Part 2
  • Module Namespaces
  • Exercise 1
  • Object-Oriented Programming - Part 1
  • Abstract Data Types
  • Designing A Class, Fields And Constructors
  • Designing A Class, Methods
  • Data Structure For Fields
  • Exercise 1
  • Exercise 2
  • Object-Oriented Programming - Part 2
  • Creating A Derived Class - Part 1
  • Creating A Derived Class - Part 2
  • Exercise 1
  • Exercise 2
  • Exception Handling
  • Exceptions Demonstrated
  • Try-Except Statements
  • Try-Except-Finally Statements
  • The raise Statement
  • Exercise 1
  • Using Data Structures
  • Exercise 1 - Lists
  • Exercise 2 - Tuples
  • Exercise 3 - Dictionaries
  • Date Handling
  • Retrieve Time
  • Formatted Time
  • time module
  • Calendar
  • Calendar module
  • Using Numpy for Data Science
Course NameDelivery ModeFeeSpecial Offer
Python Programming Fundamentals Classroom Rs. 6,5003 enrollments in same batch
Python Programming FundamentalsClassroomRs. 7,500Single enrollment
Python Programming FundamentalsOnlineRs. 6,5003 enrollments in same batch
Python Programming Advanced OnlineRs. 9,000

Good Understanding of Statistics and basic understanding of Programming algorithm.

Delegate pack consisting of study material and exercises Live Instructor training with a proficient, industrially-rich and seasoned expert

This is a complete hands-on training where the trainer will demonstrate each feature and participants will follow and do the same on the system.

Python Training & Certification Course Course Description Course Outline Exam & Certification Schedule & Fees FAQ What are the prerequisites for doing this course? Good Understanding of Statistics and basic understanding of Programming algorithm. What’s included in this training course? Delegate pack consisting of study material and exercises Live Instructor training with a proficient, industrially-rich and seasoned expert Will this be theoretical or hands-on? This is a complete hands-on training where the trainer will demonstrate each feature and participants will follow and do the same on the system. How will I get access to the system? After you enroll, you will be guided on how to access the system.

No. You will need to arrange software for your use.

You can gather your doubts and come by prior appointment to get your doubts cleared.

Yes, we can help you to get projects on which you can work from home.

Yes, participants receive a certificate after completing the course provided they have attended 90% of the class.

Yes, we can help you create a application for your project. Separate charges may apply.

A Few Things You’ll Love!

  • Experienced Training Partner
  • Certified & Industry Expert Trainers
  • Multiple Training Delivery Models
  • Customized
    Course
  • 24/7 e-Learning Access
  • Assessments and Mock Tests
  • Placement Assistance
Training Calendar
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