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Course Overview 0
Master one of the most popular programming languages of the 21st century
-- Python is the Fastest Growing Language according to stack overflow with an average salary of 5LPA according to Glassdoor
This Course is Designed in such a way that people from non Technical background can also Learn from this
-- Specialisation on skills required to perform various job roles
This course includes all the resources you need to Learn Python Programming.
What you will Learn :
--Learn to Install Python and write your first program
--All the Basics of Python Programming
--Develop three mini project [ to implement all the knowledge your learn]
--Be Well Prepared To Expand Into ML Concepts
So let's dive in - Enroll today and Make yourself Future ReadyNo items in this section -
Section 01 : Introduction And Getting The Right Tools! 2
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1.1 Python Introduction 05 minLecture2.1
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1.2 Introduction And Installation 05 minLecture2.2
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Section 02 : Basic I/O, Operators & Using IDE 5
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2.1 Numbers and Strings 07 minLecture3.1
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2.2 Lists and Dictionaries 07 minLecture3.2
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2.3 Assignment Operators 05 minLecture3.3
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2.4 Development Environment 04 minLecture3.4
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2.5 Visual Studio Code: [VS_Code] 07 minLecture3.5
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Section 03 : Conditional Statements & Looping ! 5
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3.1 Conditional Statement 05 minLecture4.1
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3.2 User Input 05 minLecture4.2
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3.3 WHILE Loop 05 minLecture4.3
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3.4 FOR Loop 03 minLecture4.4
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3.5 FOR Loop: (Dictionary Enumeration) 05 minLecture4.5
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Section 04 : OOPS! Functions, Classes & Exception Handling 4
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4.1 Functions 07 minLecture5.1
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4.2 Class and Objects 04 minLecture5.2
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4.3 Constructor 03 minLecture5.3
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4.4 Exception Handling 07 minLecture5.4
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Section 05 : Python Modules & Experiencing Jupyter ! 5
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5.1 Modules 06 minLecture6.1
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5.2 Statistics Module 04 minLecture6.2
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5.3 CSV Module 08 minLecture6.3
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5.4 PIP 04 minLecture6.4
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5.5 Jupyter Note Book 07 minLecture6.5
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Section 06 : Tkinter, SQL in Python & File Management 3
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6.1 SQLite 10 minLecture7.1
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6.2 Tkinter 11 minLecture7.2
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6.3 Making [.exe] in Python 08 minLecture7.3
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[Bonus] Python Hands-On Projects + Source Code 4
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Rock Paper Scissor Python Game 13 minLecture8.1
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Message Encode Decode in Python Project 15 minLecture8.2
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Calculator in Python 25 minLecture8.3
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Source Code of all 3 ProjectsLecture8.4
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Assignments 2
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Assignment No. 1Lecture9.1
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Assignment No. 2Lecture9.2
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2.2 Lists and Dictionaries
Lists and Dictionaries
A list is an ordered and mutable Python container, being one of the most common data structures in Python. To create a list, the elements are placed inside square brackets ([]), separated by commas. As shown above, lists can contain elements of different types as well as duplicated elements , where as Dictionary in Python is an ordered collection of data values, used to store data values like a map, which, unlike other Data Types that hold only a single value as an element, Dictionary holds key:value pair. Key-value is provided in the dictionary to make it more optimized. A list is an ordered sequence of objects, whereas dictionaries are unordered sets. However, the main difference is that items in dictionaries are accessed via keys and not via their position. The values of a dictionary can be any type of Python data.
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