Pyodide
Pyodide is an experimental project from Mozilla to create a full Python data science stack that runs entirely in the browser.

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https://hacks.mozilla.org/2019/04/pyodide-bringing-the-scientific-python-stack-to-the-browser/
#python #datascience #machineLearning #sourcecode #pyodide

Tensorflow Object Detection Training GUI for Linux

BMW shares AI algorithms used in production, available on GitHub

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#Tensorflow #DataScience #Linux #Algorithms

Memory Management in Python

Deep dive into the internals of Python to understand how it handles memory management.

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#python #tutorial #memoryManagement

Tensorflow CPU Inference API For Windows and Linux

This is a repository for an object detection inference API using the Tensorflow framework.
This repo is based on Tensorflow Object Detection API.
BMW shares AI algorithms used in production, available on GitHub

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#Tensorflow #DataScience #Linux #Algorithms

YOLOv3 Training Automation API for Linux

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away and monitor it in many different ways like TensorBoard and a custom REST API.
BMW shares AI algorithms used in production, available on GitHub

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#Tensorflow #DataScience #Linux #Algorithms

Python Memory Profiler
This is a python module for monitoring memory consumption of a process as well as line-by-line analysis of memory consumption for python programs. It is a pure python module which depends on the psutil module.

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#python #memoryManagement #module #bestPractices

FREE Python Training program - - - - (Click on blue text)

1. Click here to Subscribe to Training
2. Training will be provided 2 classes per week. Will share the link before hand for training.
3. If you miss the class, then the training video will be posted on our channel, link given in step 1.
4. Source code and Assignments will be posted here. Complete all assignments before moving to next chapter.
5 Join this group and post all your questions and doubts. You will be guided and questions answered through this group.

About Me: I am a IT professional with 20+ years of experience.
This is my way of giving back to the society and help students interested in Python, Data Science.
I take it up only after my office hours, so don't expect any quick replies.
I am teaching python basics for FREE. If you want to learn, you can join this group

Learn Python - A Full Course for Beginners
This course if for Beginners who would like to learn Python programming. This course also contains a lot of examples, real life samples.

Table of Contents - CLICK HERE

001 - Introduction
002 - Installing Python and Environment Setup
003 - Installing PyCharm
004 - Basic Syntax
* Code - Basic Syntax
* Test 004.1 - Basic Syntax
*Test 004.2 - Basic Syntax
005 - Variables
* Code - Variables
* Assignment - Variables
006 - Datatypes in Python
* Code - Datatypes in Python
* Assignment - Datatypes in Python

more coming soon...

bamboolib - a GUI for pandas
Bamboolib is designed to help you learn Pandas

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#python #pandas #tools #bamboolib #dataVisualization

BMW InnovationLab

BMW shares AI algorithms used in production, available on GitHub
This organization contains open source software published by the developers and partners of the BMW InnovationLab

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#Tensorflow #DataScience #Linux #Algorithms

Modeling Creativity - CASE STUDIES IN PYTHON by Tom De Smedt

#python #machineLearning #DataScience #eBook .

Non-Programmer's Tutorial for Python 3

The Non-Programmers' Tutorial For Python 3 is a tutorial designed to be an introduction to the Python
programming language. This guide is for someone with no programming experience.

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#python #resources #eBook

Picking a Python Version: A Manifesto by David Mertz

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#python #resources #eBook

. Problem Solving with Algorithms and Data Structures using Python

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#python #resources #eBook

FREE 50 eBOOKS on Python


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#python #DataScience #machineLearning #eBook #tutorial #resources

Click here ——————-»»» Python® Notes for Professionals

. #python #eBook #tutorial #resources

While this is not truly a tutorial or to teach something on AI, it simplifies a lot of things and good for beginners. Hence posting it. Check it out.

How Far is Too Far? | The Age of A.I.

Python Crash Course - Cheat Sheets

* Beginner’s Python Cheat Sheet - Provides an overview of the basics of Python including variables, lists, dictionaries, functions, classes, and more.

* Beginner’s Python Cheat Sheet - Lists - Focuses on lists: how to build and modify a list, access elements from a list, and loop through the values in a list. Also covers numerical lists, list comprehensions, tuples, and more.

* Beginner’s Python Cheat Sheet - Dictionaries - Focuses on dictionaries: how to build and modify a dictionary, access the information in a dictionary, and loop through dictionaries in a variety of ways. Includes sections on nesting lists and dictionaries, using an OrderedDict and more.

* Beginner’s Python Cheat Sheet - If Statements and While Loops - Focuses on if statements and while loops: how to write conditional tests with strings and numerical data, how to write simple and complex if statements, and how to accept user input. Also covers a variety of approaches to using while loops.

* Beginner’s Python Cheat Sheet - Functions - Focuses on functions: how to define a function and how to pass information to a function. Covers positional and keyword arguments, return values, passing lists, using modules, and more.

* Beginner’s Python Cheat Sheet - Classes - Focuses on classes: how to define and use a class. Covers attributes and methods, inheritance and importing, and more.

* Beginner’s Python Cheat Sheet - Files and Exceptions - Focuses on working with files, and using exceptions to handle errors that might arise as your programs run. Covers reading and writing to files, try-except-else blocks, and storing data using the json module.

* Beginner’s Python Cheat Sheet - Testing Your Code - Focuses on unit tests and test cases. How to test a function, and how to test a class.

* Beginner’s Python Cheat Sheet - Pygame - Focuses on creating games with Pygame. Creating a game window, rect objects, images, responding to keyboard and mouse input, groups, detecting collisions between game elements, and rendering text.

* Beginner’s Python Cheat Sheet - matplotlib - Focuses on creating visualizations with matplotlib. Making line graphs and scatter plots, customizing plots, making multiple plots, and working with time-based data.

* Beginner’s Python Cheat Sheet - Pygal - Focuses on creating visualizations with Pygal. Making line graphs, scatter plots, and bar graphs, styling plots, making multiple plots, and working with global datasets.

* Beginner’s Python Cheat Sheet - Django - Focuses on creating web apps with Django. Installing Django and starting a project, working with models, building a home page, using templates, using data, and making user accounts.

*


Click here ——————-»»» The Elements of Statistical Learning - Data Mining, Inference, and Prediction.


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#eBook #statistics #DataMining #inference #prediction

*


Click here ——————-»»» Statistical Learning with Sparsity:The Lasso and Generalizations
by Trevor Hastie, Robert Tibshirani, Martin Wainwright

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#eBook #statistics #DataScience

A lot of people are confused or have a big question on what to do after learning the basics of Python.

Or on what can we do using Python. This article provides a simple answer to these questions, thought it would be useful.

https://realpython.com/what-can-i-do-with-python/

eBooks on tkinter

* Learning tkinter
* A Comprehensive Introduction to Python Programming and GUI Design Using Tkinter


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#eBook #python #tkinter