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Python: The Language of Possibilities

Last Update November 24, 2025

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Course Prerequisites

Please note that this course has the following prerequisites which must be completed before it can be accessed
Data Analysis & Statistics

About This Course

Short Note on Python:

Python is a high-level, interpreted programming language known for its simplicity and readability. Created by Guido van Rossum and first released in 1991, Python supports multiple programming paradigms, including object-oriented, procedural, and functional programming.

It has a clean and easy-to-learn syntax that emphasizes code readability, making it an ideal choice for beginners and experienced developers alike. Python is widely used in various fields such as web development, data science, machine learning, automation, artificial intelligence, and more. Its large standard library and active community support make it one of the most popular programming languages in the world today.

Learning Objectives

Students will be able to formulate the basic views that are associated with Logical Positivism and conceptually manipulate the interrelation of observation and theory formation

Students will be able to understand and structure the main issues that philosophy of science engages with.

Students will be able to assess the consequences of the Logical Positivist's views concerning science, philosophy and their interrelation.

Material Includes

Videos
Booklets
Health Checklist

Requirements

Basic or very little knowledge in Philosophy

Target Audience

Students that have an elementary background in Philosophy and they want to expand their knowledge;
Undergraduate and Postgraduate students in Philosophy
Sciences who want to deepen into the conceptual contributions of philosophy and its analytic methods to science

Curriculum

50 Lessons21h 45m

01 Introduction

001 Tutorial 1-PYTHON OVERVIEW00:00

02 Installing Anaconda

03 Python Variables And Class

04 Python Array & File Methods

05 Python Keywords & Tuples

06 Python Sets & Modules

07 Python Directors & Dictionary

08 Python Strings & Data Type

09 Python Numbers & Namespace

10 Python GlobalLocal & Global Keyword

11 Python Iterators & Iterations Using

12 Python Inheritance & Functions

13 Python break statement

14 python Exceptions Try

15 Python Operator Overloading

16 Python Pass Statement

17 Python While Loop

18 Python Matrix Implementation

19 Python Input Outpt And Import

20 Python Different Looping Techniques

21 Python Property

Your Instructors

hiilearne

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19 Courses

19 Reviews

70 Students

₹199.00~~₹2,500.00~~

92% off

Level

Intermediate

Duration 21.8 hours

Lectures

50 lectures

Subject

Programming Languages

Material Includes

Videos
Booklets
Health Checklist

-84%

Python: The Language of Possibilities

Course Prerequisites

About This Course

Learning Objectives

Material Includes

Requirements

Target Audience

Curriculum

01 Introduction

001 Tutorial 1-PYTHON OVERVIEW00:00

02 Installing Anaconda

002 Tutorial 1-Installing Anaconda00:00

03 Python Variables And Class

003 Tutorial 2-Python Variables And Constants00:00

004 Tutorial 3-Python Class And Objects00:00

04 Python Array & File Methods

005 Tutorial 4-Python Array Implementation00:00

006 Tutorial 5-Python File Methods00:00

05 Python Keywords & Tuples

007 Tutorial 6-Python Keywords And Identifiers00:00

008 Tutorial 7 -Python Tuples00:00

06 Python Sets & Modules

009 Tutorial 8-Python Sets00:00

010 Tutorial 9-Python Different Modules00:00

07 Python Directors & Dictionary

011 Tutorial 10-Python Directory And File Management System00:00

012 Tutorial 11-python dictionary00:00

08 Python Strings & Data Type

013 Tutorial 12- Python Strings00:00

014 Tutorial 13-Python Data Type Conversion00:00

09 Python Numbers & Namespace

015 Tutorial 14 -Python Numbers00:00

016 Tutorial 15-Python Namespace And Scope00:00

10 Python GlobalLocal & Global Keyword

017 Tutorial 16 -Python GlobalLocal And Nonlocal variables00:00

018 Tutorial 17-Python Global Keyword00:00

11 Python Iterators & Iterations Using

019 Tutorial 18-Python Iterators00:00

020 Tutorial 19-Python Iterations Using for00:00

12 Python Inheritance & Functions

021 Tutorial 20-Python Inheritance00:00

022 Tutorial 21-Python Multiple Inheritance00:00

023 Tutorial 22-Python Function Arguments00:00

024 Tutorial 23-Python Functions00:00

13 Python break statement

025 Tutorial 24-Python break statement00:00

026 Tutorial 25-Python continue statement00:00

027 Tutorial 26-Python Errors And Exceptions00:00

14 python Exceptions Try

028 Tutorial 27-python Exceptions Try.except and finally00:00

029 Tutorial 28-Python User Defined Exception00:00

030 Tutorial 29–Python OOP Approach00:00

15 Python Operator Overloading

031 Tutorial 30-Python Nested Dictionary Implementation00:00

032 Tutorial 31-Python Operator Overloading00:00

033 Tutorial 32- Python Statements And Comments00:00

16 Python Pass Statement

034 Tutorial 33-Python Pass Statement00:00

035 Tutorial 34-Python Generators00:00

036 Tutorial 35-Python Decorators00:00

17 Python While Loop

037 Tutorial 36–Python While Loop00:00

038 Tutorial 37-Use of if .elif and else00:00

18 Python Matrix Implementation

039 Tutorial 38-Python Matrix Implementation00:00

040 Tutorial 39-Python Regular Expressions00:00

041 Tutorial 40- Python List Comprehension00:00

19 Python Input Outpt And Import

042 Tutorial 41-Python Recursion00:00

043 Tutorial 42-Python Input Outpt And Import00:00

044 Tutorial 43-Python Read and Write Operations00:00

20 Python Different Looping Techniques

045 Tutorial 44-Python Different Looping Techniques00:00

046 Tutorial 45-Python Shallow Copy And Deep Copy00:00

047 Tutorial 46-python lamda functions00:00

21 Python Property

048 Tutorial 47-PYTHON ASSERT00:00

049 Tutorial 48- Python Property00:00

050 Tutorial 49-Python Closure00:00

Your Instructors