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Python - About Python and Setting up a workable Python Environment 4
Learn about the Python Progrmaming Language, its installation on Windows and Linux OS. Learn to setup and use an IDE - Microsoft Visual Studio Code for Python.
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Python – M1:About PythonLecture1.1
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Python – M2: Installation, and Setup on Windows OSLecture1.2
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Python – M3: Installation, and Setup on Linux OS.Lecture1.3
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Python – M4: Setting Up Visual Code as IDELecture1.4
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Python - Variables, Data Types, Functions and Methods, Classes and Objects. 12
Learn about the Programming Paradigms, OOPs concepts, Python Data Types, Arrays and Iterators. All basics required for you to start with Python Programming covered under this section.
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Python – M5: Variables and DataTypes – DeepDiveLecture2.1
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Python – M6:Numeric Variables – DeepDiveLecture2.2
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Python – M7:Functions, Classes, Objects, and Methods – ExplainedLecture2.3
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Python – M8:OOPs and Programming Paradigms -ExplainedLecture2.4
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Python – M9: Strings – DeepDiveLecture2.5
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Python – M10: Lists and Tuples DeepDiveLecture2.6
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Python – M11: Dictionaries and Sets DeepDiveLecture2.7
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Python – M12: Branching, If-Elif-Else Conditionals DeepDiveLecture2.8
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Python – M13: While and for loops DeepDiveLecture2.9
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Python – M14: Lambda, Arrays and IteratorsLecture2.10
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Python – M15: Modules and Packages DeepDiveLecture2.11
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Python – M16: Math and Date FunctionLecture2.12
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Python - A 100 IceBreaker Excercises to get you started in Python. 10
Test your skills acquired from the above sections to write your first codes in Python.
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Python – Excercixes 1 to 10Lecture3.1
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Python – Excercixes 11 to 20Lecture3.2
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Python – Excercixes 21 to 30Lecture3.3
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Python – Excercixes 31 to 40Lecture3.4
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Python – Excercixes 41 to 50Lecture3.5
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Python – Excercixes 51 to 60Lecture3.6
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Python – Excercixes 61 to 70Lecture3.7
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Python – Excercixes 71 to 80Lecture3.8
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Python – Excercixes 81 to 90Lecture3.9
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Python – Excercixes 91 to 100Lecture3.10
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Python – Excercixes 81 to 90
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