Check out the video, and also connect to the github repository for this tutorial and check out the jupytor notebook related to this video.
It contains the samples shown in the video, which you can also use for practicing.

Let me know if you have any questions.

Just pushed the "Variables Exercise"
to github which was missed earlier.

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Django Resources
Official Tutorial - Django Getting started

Videos:
Django Tutorial for Beginners - Full Coursethenewboston
Python Django Web Framework - Full Course for Beginners
Python Django Tutorial | Learn Python Django In 3 Hours
Python Django Tutorial: Full-Featured Web App


Tutorials:
Django Tutorials for Beginners - Guru99
Django Girls Tutorial
A Complete Beginner's Guide to Django
Django Web Framework (Python) - Mozilla Developer Network


Free e-books
Tango with Django
Django ORM Cookbook

Running Code
First and foremost, the Jupyter Notebook is an interactive environment for writing and running code. The notebook is capable of running code in a wide range of languages. However, each notebook is associated with a single kernel.

This notebook is associated with the IPython kernel, therefore runs Python code.

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#DataScience #ML #MachineLearning #Python

Predicting PewDiePie's daily subscribers using Machine Learning

A practical implementation of Machine Learning's Linear Regression Algorithm. Here we can apply linear regression to predict daily YouTube subscribers.

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.


Key differences between Python 2.7.x and Python 3.x

Many beginning Python users are wondering with which version of Python they should start. My answer to this question is usually something along the lines "just go with the version your favorite tutorial was written in, and check out the differences later on."

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Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares
Stephen Boyd and Lieven Vandenberghe
Cambridge University Press

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*** #ebook #MachineLearning #ML #DataScience

Linear Matrix Inequalities in System and Control Theory
Stephen Boyd, Laurent El Ghaoui, E. Feron, and V. Balakrishnan

Volume 15 of Studies in Applied Mathematics
Society for Industrial and Applied Mathematics (SIAM), 1994

ISBN 0-89871-334-X

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Top Python Libraries Used In Data Science

The five important steps involved in Data Science is as shown below:
Getting the data.
Cleaning the data
Exploring the data
Building the data
Presenting the data

Let us understand what are the most important and useful python libraries that can be used in data science.

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Web scraping using BeautifulSoup and Requests libraries

Libraries required for web scraping are:
* Beautiful Soup.
* Requests.

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Exploratory data analysis in Python
Exploratory Data Analysis or (EDA) is understanding the data sets by summarizing their main characteristics often plotting them visually.

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Python Data Science Handbook

This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks.

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Introduction to Statistics with Python

Python modules and IPython Notebooks, which accompany the book Introduction to Statistics With Python

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Learn R Programming – Taking you closer to your Data Science dream

This guide is for beginners and intermediate-level programmers alike.

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Interesting Video for people learning ML - Artur Kuzin tells about his participation in Kaggle Open Images 2019 in English. He got a gold medal in each of the three competitions.

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Probabilistic Programming and Bayesian Methods for Hackers

Bayesian inference differs from more traditional statistical inference by preserving uncertainty. At first, this sounds like a bad statistical technique. Isn't statistics all about deriving certainty from randomness? To reconcile this, we need to start thinking like Bayesians.

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AUTOMATE THE BORING STUFF WITH PYTHON
Practical programming for total beginners. Written by Al Sweigart.

In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand-no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation.
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#python #patterns #ebook
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The Little Book of Python Anti-Patterns
This is a small book of Python anti-patterns and worst practices.

Learning about these anti-patterns will help you to avoid them in your own code and make you a better programmer (hopefully). Each pattern comes with a small description, examples and possible solutions. You can check many of them for free against your project at QuantifiedCode.

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