Shallow and Deep Copy Explained for Beginners | Learn Python Programming

In this video, we are going to explain to you shallow and deep copy.

We will discuss the following in this video:
🕕 (0:00:08) Introduction
🕕 (0:00:55) Shallow Copy and Deep Copy
🕕 (0:03:47) Lists
🕕 (0:05:01) Dictionaries
🕕 (0:05:53) Variables
🕕 (0:06:22) Functions

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Learn Python - Full Course for Beginners [Tutorial]

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you’ll be a python programmer in no time!
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (1:45) Installing Python & PyCharm
⌨️ (6:40) Setup & Hello World
⌨️ (10:23) Drawing a Shape
⌨️ (15:06) Variables & Data Types
⌨️ (27:03) Working With Strings
⌨️ (38:18) Working With Numbers
⌨️ (48:26) Getting Input From Users
⌨️ (52:37) Building a Basic Calculator
⌨️ (58:27) Mad Libs Game
⌨️ (1:03:10) Lists
⌨️ (1:10:44) List Functions
⌨️ (1:18:57) Tuples
⌨️ (1:24:15) Functions
⌨️ (1:34:11) Return Statement
⌨️ (1:40:06) If Statements
⌨️ (1:54:07) If Statements & Comparisons
⌨️ (2:00:37) Building a better Calculator
⌨️ (2:07:17) Dictionaries
⌨️ (2:14:13) While Loop
⌨️ (2:20:21) Building a Guessing Game
⌨️ (2:32:44) For Loops
⌨️ (2:41:20) Exponent Function
⌨️ (2:47:13) 2D Lists & Nested Loops
⌨️ (2:52:41) Building a Translator
⌨️ (3:00:18) Comments
⌨️ (3:04:17) Try / Except
⌨️ (3:12:41) Reading Files
⌨️ (3:21:26) Writing to Files
⌨️ (3:28:13) Modules & Pip
⌨️ (3:43:56) Classes & Objects
⌨️ (3:57:37) Building a Multiple Choice Quiz
⌨️ (4:08:28) Object Functions
⌨️ (4:12:37) Inheritance
⌨️ (4:20:43) Python Interpreter
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=rfscVS0vtbw&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=3

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Top Deep Learning Development Services | Hire Deep Learning Developer

View more: https://www.inexture.com/services/deep-learning-development/

We at Inexture, strategically work on every project we are associated with. We propose a robust set of AI, ML, and DL consulting services. Our virtuoso team of data scientists and developers meticulously work on every project and add a personalized touch to it. Because we keep our clientele aware of everything being done associated with their project so there’s a sense of transparency being maintained. Leverage our services for your next AI project for end-to-end optimum services.

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Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services

Introduction

When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

• revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
• microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
• Anaconda 4.2 – Anaconda is an opensource Python package

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Python Programming: A Beginner’s Guide

Python is an interpreted, high-level, powerful general-purpose programming language. You may ask, Python’s a snake right? and Why is this programming language named after it? Well, you are in the right place to discover the answer! and I’ll also answer the why, what, and how regarding Python programming.

Why do we need to know about Python?

People prefer Python over French (What 😮)

According to a recent survey, in the UK, Python overtook French to be the most popular language taught in primary schools. (OMG!) 6 of 10 parents preferred their children to learn Python over French.

The survey by Ocado group

So hurry up🏃‍♂️🏃‍♀️(or these kids will for sure)! Get ready to learn it! Because there’s a possibility of you being hired in one of the companies mentioned below!!!

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Learning Python: The Prompt, Then Read Template

In my last article I discussed how to use the Input-Process-Output template as a general guide to how programs should be structured in Python. To review, most Python programs will consist of three steps — getting input into the program, processing the input in some way, and outputting the results of the processing.

In this article, I’m going to focus on one part of that step — getting input into a program — by prompting the user to enter some data and then reading the data into the program. This is a mostly straightforward process except for some data conversions that have to occur when you are inputting numbers.

Defining a Prompt

Let’s start by defining the word prompt. A prompt is a message to the user of your program telling them what they are supposed to be entering into the program. A prompt needs to be descriptive but doesn’t have to be overly detailed.

For example, if your program needs the user to enter their name, you can use a prompt like this:

Enter your name:

However, you may need to be more specific if you want the user to enter their first name and their last name separately. The more appropriate prompt in this case might really be two prompts:

Enter your first name:
Enter your last name:

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