Comprehensive Curriculum: Learn Python from basics to advanced concepts, covering data structures, algorithms, and frameworks.
Expert Mentorship: Receive guidance and support from experienced industry professionals.
Flexible Learning: Attend live sessions with the option to access recorded sessions at your convenience.
Hands-On Projects: Gain practical experience through real-world projects and coding challenges.
Career Preparation: Prepare for job interviews with mock interviews, resume building, and career counseling.
Our Python Engineering Program offers everything you need to become a successful Python developer. You'll learn from industry experts, work on real projects, and gain hands-on experience. We provide personalised mentorship and career support to help you land your dream job. Join us to build your skills and boost your career today.
Data Types
Data Types Part 2
Data Types (Number System | Complex Object)
Data Types (Sequences | String)
Data Types (Bytes | Iterable Concept)
Data Types (Mutable | Immutable)
Data Types (Bytearray | Range)
Data Types (List)
Data Types (Nested List)
Data Types (Tuple | Set)
Data Types (Set Methods)
Data Types (Set Methods | Frozenset | Non Data Type)
Lecture 1 - Introduction
Lecture 2 - Project Setup and Folder Structure
Lecture 3 - Views
Lecture 4 - Templates
Lecture 5 - Models
Lecture 6 - Models Part 2 (Data Insert Ways)
Lecture 7 - One to One Relationship
Lecture 8 - One to One Relationship Part 2
Lecture 9 - Many to One Relationship Intro
Lecture 10 - Many to Many Relationships
Lecture 11 - CRUD Project Part 1
Lecture 12 - CRUD Project Part 2
Lecture 13 - CRUD Project Part 3
Lecture 14 - CRUD Project Part 4
Lecture 15 - CRUD project part 5
Lecture 16 - CRUD Project Part 6
Lecture 17 - Final Project Part 1
Lecture 18 - Final Project Part 2
Lecture 19 - Final Project Part 3
Lecture 20 - Final Project Part 4
Lecture 21 - Final Project Part 5
Lecture 22 - Final Project Part 6
Lecture 23 - Final Project Part 7
Lecture 24 - Final Project Part 8
Lecture 25 - Final Project Part 9
Lecture 26 - Final Project Part 10
Lecture 27 - Final Project Part 11
Lecture 28 - Final Project Part 12
Lecture 29 - Final Project Part 13
Lecture 30 - Final Project Part 14
Lecture 31 - Final project part 15
Lecture 32 - Final project part 16
Lecture 33 - Final project part 17
Lecture 34 - Final Project Part 18
Lecture 35 - Final Project Part 19
1 Reviews
7 months ago
Awesome teaching very supportive and knowledgeful session.
Empowering Non-Technical Visionaries, IT Pros, And Graduates To Master Coding Skills And Transform Futures. Let's Code Your Career Today!
