Course curriculum
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1
Student Guide Book
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Student Guide Book
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Schedule/curriculum Time Table
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Introduction to python
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Functions Practice
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Loops practice
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Python Basic Exercise
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Python Data Structure Exercise
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Python Dictionary Exercise
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Python List Exercise
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Python Matplotlib Exercise
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Python NumPy Exercise
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Python OOPS Exercise
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Python Pandas Exercise
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Python Set Exercise
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Python String Exercise
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Python Tuple Exercise
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2
zoom live session links
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AI_ 1st Live Session_ 11 july 2021_ 6:00 PM
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AI_ 2nd Live Session_ 17 July 2021_ 7:00 PM
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AI_ 3rd Live Session_ 18 July 2021_ 7:00 PM
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AI_ 4th Live Session_ 23 July 2021_ 7:00 PM
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AI_ 5th Live Session_ 24 July 2021_ 7:00 PM
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AI_ 6th Live Session_ 25 July 2021_ 7:00 PM
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AI_ 7th Live Session_ 30 July 2021_ 7:00 PM Cancelled
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AI_ 7th Live Session_ 31 July 2021_ 7:00 PM
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AI_ 8th Live Session_ 01 Aug 2021_ 7:00 PM
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AI_ 9th Live Session_ Aug 6, 2021 07:00 PM
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AI_10th Live Session_ Aug 7, 2021 07:00 PM Cancelled
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AI_10th Live Session_ Aug 8, 2021 06:00 PM
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AI_11th Live Session_ Aug 13, 2021 07:00 PM CANCELLED
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AI_11th Live Session_ Aug 14, 2021 07:00 PM
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AI_12th Live Session_ Aug 15, 2021 06:00 PM
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AI_13th Live Session_ Aug 20, 2021 07:00 PM
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AI_14th Live Session_ Aug 21, 2021 07:00 PM
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AI_15th Live Session_ Aug 22, 2021 06:00 PM
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AI_16th Live Session_Aug 27, 2021 07:00 PM
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AI_17th Live Session_Aug 28, 2021 07:00 PM
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AI_18th Live Session_ Aug 29, 2021 07:00 PM
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3
Live Recordings
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AI_1st Sessions_11 July 2021
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AI_2nd Session_17 July 2021
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AI_3rd Session_18 July 2021
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AI_4th Session_23-07-2021
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AI_5th Session_24-07-2021
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AI_6th Session_25-07-2021
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AI_7th Session_31-07-2021
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AI_8th Session_01_08_2021
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AI_9th Session_06_08_2021
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AI_10th Session_08-08-2021
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AI_11th Session_14-08-2021
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AI_12th Session_15-08-2021
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AI_13th Session_21-08-2021
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AI_14th Session_22-08-2021
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AI_15th Session_27-08-2021
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AI_16th Session_28-08-2021
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AI_17th Session_29-08-2021
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AI_18th Session_05-09-2021
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4
Major Project
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Major Project
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5
Live Project Instructions
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Orientation Meeting_Live Industrial Project
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6
Internship Project 1_NEWS CLASSIFICATIONS
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Part-1
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Part-2
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Part-3
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News-classification
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NEWS CLASSIFICATION WITH NLP
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Data Set_ True and Fake
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7
Internship Project-2_ RECOGNITION OF OBJECTS
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Part- 1
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Part-2
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Part-3
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RECOGNITION OF OBJECTS
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OBJECT RECOGNITION
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8
Internship Live Project Sessions
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Project 1
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Project 2
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Internship Project Submission
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Orientation meeting
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9
Module 1: Installing and Starting Python
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1.1: Overview
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1.2: Installing Python
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1.3: Interactive Python
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1.4: Significant Whitespace
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1.5: Python Culture
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1.6: The Python Standard Library
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1.7: Summary
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Installing and Starting Python Slides
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10
Module 2: Scalar Types, Operators and Control Flows
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2.1: Overview
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2.2: Relational Operators
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2.3: Control Flow
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2.4: While Loops
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2.5: Summary
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Scalar Type Operators and Control Flow Slides
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11
Module 3: Introducing Strings, Collections and Iterations
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3.1: Overview
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3.2: String
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3.3: String Literals
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3.4: Bytes
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3.5: List
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3.6: Dictionary
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3.7: For Loop
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3.8: Putting It All Together
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3.9: Summary
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Introducing Strings, Collections and Iterations Slide
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12
Module 4: Modularity
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4.1: Overview
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4.2: Modules
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4.3: Functions
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4.4: Name
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4.5: The Execution Model
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4.6: Command Line Arguments
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4.7: Docstrings
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4.8: Comments
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4.9: Shebang
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4.10: Summary
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Modularity Slides
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13
Module 5: Objects and Types
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5.1: Overview
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5.2: Passing Arguments and Returning Values
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5.3: Function Arguments
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5.4: Python's Type System
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5.5: Scopes
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5.6: Everything is an Object
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5.7: Summary
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Objects and Types
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14
Module 6: Built-in Collections
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6.1: Overview
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6.2: Tuples
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6.3: Strings
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6.4: Ranges
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6.5: Lists
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6.6: Dictionaries
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6.7: Sets
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6.8: Protocols
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6.9: Summary
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Built-in Collections Slides
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Codes for Built-in Collections
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15
Module 7: Exceptions
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7.1: Overview
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7.2: Exceptions and Control Flow
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7.3: Handling Exceptions
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7.4: Exceptions and Programmer Errors
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7.5: Re-raising Exceptions
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7.6: Exceptions and Part of the API
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7.7: Exceptions and Protocols
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7.8: Avoid Explicit Type Checks
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7.9: It's Easier to Ask Forgiveness Than Permission
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7.10: Cleanup Actions
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7.11: Platform Specific Code
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7.12: Summary
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Exceptions Slide
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16
Module 8: Iterations and Iterables
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8.1 Overview
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8.2: List and Set Comprehensions
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8.3: Dictionary Comprehensions
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8.4: Filtering Comprehensions
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8.5: Iteration Protocols
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8.6: Generator Functions
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8.7: Maintaining State in Generators
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8.8: Laziness and the Infinite
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8.9: Generator Expressions
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8.10: Iteration Tools
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8.11: Summary
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Iteration and Iterables Slides
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17
Module 9: Classes
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9.1: Overview
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9.2: Classes
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9.3: Defining Classes
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9.4: Instance Methods
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9.5: Instance Initializers
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9.6: A Second Class
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9.7: Collaborating Classes
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9.8: Booking Seats
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9.9: Methods for Implementation Details
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9.10: Object Oriented Design with Function Objects
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9.11: Polymorphism and Duck Typing
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9.12: Inheritance and Implementation Sharing
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9.13: Summary
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Classes Slides
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18
Module 10: File IO and Resource Managements
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10.1: Overview
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10.2: Opening Files
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10.3: Writing Text
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10.4: Reading Text
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10.5: Appending Text
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10.6: Iterating Over Files
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10.7: Closing Files with Finally
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10.8: With Blocks
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10.9: Binary Files
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10.10: Bitwise Operators
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10.11: Pixel Data
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10.12: Reading Binary Data
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10.13: File-like Objects
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10.14: Context Manager
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10.15: Summary
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File IO and Resource Managements Slide
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19
MTA Exam Objectives
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MTA Exam Objectives
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