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Machine Learning Notes:

 Machine Learning:  • Concept of Artificial Intelligence   • Types of AI   • Fields in which AI is used   • Machine learning concept   • Types of machine learning   • Developmental phases of Machine Learning application   • Loading data set   • Cleaning dataset   • Concept of Supervised machine learning   • Concept of Unsupervised machine learning   • Libraries used for machine learning   • Introduction of PIP utility   • Environment setup for Machine Learning   • Introduction to Data Science   • Types of data • Data set and its classification   • Volume, Variety, and Velocity of data   • Features of and labels from data set   • Training dataset and Testing data set   • Data encoding in dataset   • Split activity to divide dataset   • Pandas library installation   • Dat...
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Python Programming Language Advanced Notes

Python Programming Language Advanced: • Module in Python   • Creation of user-defined Module   • Multiprocessing application development   • Multitasking using thread   • Thread Synchronization techniques   • Single threaded vs multithread application development   • Parallel programming in Python using Pool class   • Duck Typing in Python   • Decorators in Python   • Practical use of Decorators   • Lambda functions in python   • Filter Map Reduce concept in Python   • Exception handling   • Object Oriented programming in Python   • Concept of Encapsulation using Class   • Characteristics of class and its types   • Behaviours of class and its types   • Nested class and its use   • Use of self keyword   • Object creation   • Constructor and its types   • Abstraction in Python ...
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Python Fundamental Notes:

Python Programming Language Fundamentals: • Introduction of Python Programming  • History of of Python Language   • Features of Python language and its importance   • Versions of Python   • Toolchain of Python application   • First application in Python   • Data types in Python   • Variables and its types   • Operators and its types   • Bitwise operators and its working   • Memory allocation strategy used by Python   • Numbers in Python  • Input Output mechanisms   • Command line arguments   • Procedural programming approach in Python   • Function definition and function calling techniques   • Function arguments and its types   • Inner function and its calling techniques   • Returning multiple values from function   • Anonymous function and its use   • Default function arguments   • Require...
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Python Histoy

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Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0.[36]. Python 2.0 was released in 2000 and introduced new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support.  Python 3.0, released in 2008, was a major revision that is not completely backward-compatible with earlier versions. Python 2 was discontinued with version 2.7.18 in 2020 Major implementations CPython, PyPy, Stackless Python, MicroPython, CircuitPython, IronPython, Jython Influenced Apache Groovy, Boo, Cobra, CoffeeScript, D, F#, Genie, Go, JavaScript, Julia, Nim, Ring, Ruby, Swift Influenced by ABC, Ada,ALGOL , APL,C,C++, CLU, Dylan, Haskell, Icon,Lisp, Modula-3, Perl,[24] Standard ML Dialects Cython, RPython, Starlark Time Line: 1980 -- Python Development Start 1989 -- 1991 -- Python First Version Released An “implementation” of Python should be taken to mean a...
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