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Date Time Timestamp
 
 
Intro to Python Data Structures
Intro to Python Data Structures
 
 
Lambda Functions
Lambda Functions
 
 
LinkedLists
LinkedLists
 
 
Matplotlib
Matplotlib
 
 
NLTK
NLTK
 
 
Numpy
Numpy
 
 
Object Oriented Programming
Object Oriented Programming
 
 
Pandas
Pandas
 
 
Python in 90 minutes
Python in 90 minutes
 
 
Sorting Algorithms
Sorting Algorithms
 
 
Strings
Strings
 
 
Tensorflow_Keras
Tensorflow_Keras
 
 
Trees
Trees
 
 
Web Data Mining
Web Data Mining
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
BinaryToDecimal.py
BinaryToDecimal.py
 
 
Contributing.txt
Contributing.txt
 
 
Datasets.txt
Datasets.txt
 
 
DepthFirstSearch.py
DepthFirstSearch.py
 
 
Happy Pi Day.ipynb
Happy Pi Day.ipynb
 
 
HashMap.py
HashMap.py
 
 
HexToDec.py
HexToDec.py
 
 
LICENSE
LICENSE
 
 
MaxHeap.py
MaxHeap.py
 
 
Primes.py
Primes.py
 
 
Python Bisect.ipynb
Python Bisect.ipynb
 
 
Python Generators.ipynb
Python Generators.ipynb
 
 
Python List Iteration.ipynb
Python List Iteration.ipynb
 
 
Python Random Numbers Module.ipynb
Python Random Numbers Module.ipynb
 
 
Python Set Comprehensions.ipynb
Python Set Comprehensions.ipynb
 
 
Queues implementaion.py
Queues implementaion.py
 
 
README.md
README.md
 
 
Stacks, Queues & Heaps.ipynb
Stacks, Queues & Heaps.ipynb
 
 
String Formatting.ipynb
String Formatting.ipynb
 
 
TempConversion.py
TempConversion.py
 
 
Unpacking Variables.ipynb
Unpacking Variables.ipynb
 
 
addition of two number
addition of two number
 
 
bfs.py
bfs.py
 
 
exception-handling.py
exception-handling.py
 
 
exception_data.txt
exception_data.txt
 
 
factorial.py
factorial.py
 
 
file_ops.py
file_ops.py
 
 
gcf.py
gcf.py
 
 
graph_adjacency-list.py
graph_adjacency-list.py
 
 
graph_adjacency-matrix.py
graph_adjacency-matrix.py
 
 
lcm.py
lcm.py
 
 
list_comprehensions.py
list_comprehensions.py
 
 
python oriented programming
python oriented programming
 
 
turtle_graphics.py
turtle_graphics.py
 
 

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#This is a open source project.

Python 3

These files are mainly intended to accompany my series of YouTube tutorial videos here, https://www.youtube.com/user/joejamesusa and are mainly intended for educational purposes. You are invited to subscribe to my video channel-Joe James, and to download and use any code in this Python repository, according to the MIT License. Feel free to post any comments on my YouTube channel. i am very happy to see you there on my you tube channel. excited!!!!!!!!!

Subscribe to my channel for more tutorial videos.

This source codes are easy to understand and reliable for self study and you will learn them easily, try to practice more coding by making algorithms yourself and you can be better python programmer and remember "Try to learn something about everything and everything about something".

Thank you for reviewing my repositories and keep practicing. Joe James. Fremont, CA. Copyright (C) 2015-2020, Joe James

Happy coding guys!😀

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Python code for YouTube videos.

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