Learn Python - Full Course for Beginners

This Python full course will cover all the basics to advanced concepts of Python programming: Python Installation, Object-oriented programming concepts, Type Hierarchy, Operator Precedence, Conditional Statements, Iterators, Modules, Packages, Generators, List Comprehensions, Regular Expression, Serialization, Closures & decorators, and more

Python Full Course | Python Tutorial For Beginners | Python Programming

This Python programming full course video will cover all the basics to advanced concepts of Python programming. This Python Full Course is filled with real-life examples along with in-depth hands-on demos.

• Introduction
• Python Installation
• Object-oriented programming concepts
• Python project
• Type Hierarchy
• Operator Precedence
• Conditional Statements
• Iterators, Modules, Packages, Generators
• List Comprehensions
• Regular Expression
• Serialization 
• Closures & decorators

What is Python?

Python is a high-level object-oriented programming language developed by Guido van Rossum in 1989 and was first released in 1991. Python is often called a batteries included language due to its comprehensive standard library. A fun fact about Python is that The name Python was actually taken from the popular BBC comedy show of that time, "Monty Python's Flying Circus". Python is widely used these days from data analytics, machine learning, and web development. Python allows you to write programs in fewer lines of code than most programming languages. Python as a programming language is growing rapidly. It's the right time to get trained in Python.

Following are the standard or built-in data type of Python: 
1. Numeric data types
2. Text data type
3. Sequence data type
4. Mapping data type
5. Set data type
6. Boolean data type
7. Binary data type

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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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Python Django Web Framework - Full Course for Beginners. DO NOT MISS!!!

Learn the Python Django framework with this free full course. Django is an extremely popular and fully featured server-side web framework, written in Python. Django allows you to quickly create web apps.
⭐️Course Contents ⭐️
⌨️ (0:00:00) 1 - Welcome
⌨️ (0:01:14) 2 - Installing to Get Started
⌨️ (0:05:02) 3 - Setup your Virtual Environment for Django
⌨️ (0:14:39) 4 - Create a Blank Django Project
⌨️ (0:18:54) 5 - Setup Your Code Text Editor
⌨️ (0:22:27) 6 - Settings
⌨️ (0:29:58) 7 - Built-In Components
⌨️ (0:33:57) 8 - Your First App Component
⌨️ (0:42:34) 9 - Create Product Objects in the Python Shell
⌨️ (0:46:18) 10 - New Model Fields
⌨️ (0:52:52) 11 - Change a Model
⌨️ (0:59:27) 12 - Default Homepage to Custom Homepage
⌨️ (1:04:48) 13 - URL Routing and Requests
⌨️ (1:10:23) 14 - Django Templates
⌨️ (1:16:50) 15 - Django Templating Engine Basics
⌨️ (1:24:00) 16 - Include Template Tag
⌨️ (1:26:49) 17 - Rendering Context in a Template
⌨️ (1:33:21) 18 - For Loop in a Template
⌨️ (1:37:01) 19 - Using Conditions in a Template
⌨️ (1:42:17) 20 - Template Tags and Filters
⌨️ (1:48:59) 21 - Render Data from the Database with a Model
⌨️ (1:59:55) 22 - How Django Templates Load with Apps
⌨️ (2:06:50) 23 - Django Model Forms
⌨️ (2:14:16) 24 - Raw HTML Form
⌨️ (2:25:33) 25 - Pure Django Form
⌨️ (2:35:30) 26 - Form Widgets
⌨️ (2:41:29) 27 - Form Validation Methods
⌨️ (2:48:59) 28 - Initial Values for Forms
⌨️ (2:51:42) 29 - Dynamic URL Routing
⌨️ (2:54:26) 30 - Handle DoesNotExist
⌨️ (2:56:24) 31 - Delete and Confirm
⌨️ (2:58:24) 32 - View of a List of Database Objects
⌨️ (3:00:00) 33 - Dynamic Linking of URLs
⌨️ (3:01:17) 34 - Django URLs Reverse
⌨️ (3:03:10) 35 - In App URLs and Namespacing
⌨️ (3:07:35) 36 - Class Based Views - ListView
⌨️ (3:10:45) 37 - Class Based Views - DetailView
⌨️ (3:15:38) 38 - Class Based Views - CreateView and UpdateView
⌨️ (3:21:23) 39 - Class Based Views - DeleteView
⌨️ (3:24:02) 40 - Function Based View to Class Based View
⌨️ (3:27:15) 41 - Raw Detail Class Based View
⌨️ (3:30:31) 42 - Raw List Class Based View
⌨️ (3:33:32) 43 - Raw Create Class Based View
⌨️ (3:26:03) 44 - Form Validation on a Post Method
⌨️ (3:37:58) 45 - Raw Update Class Based View
⌨️ (3:41:13) 46 - Raw Delete Class Based View
⌨️ (3:42:17) 47 - Custom Mixin for Class Based Views

📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=F5mRW0jo-U4&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=6
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#python #django #python django web framework #beginners #full course #python django web framework - full course for beginners

MongoDB with Python Crash Course - Tutorial for Beginners. DO NOT MISS!!!

Learn the most popular NoSQL / document database: MongoDB. In this quickstart tutorial, you’ll be up and running with MongoDB and Python.
⭐️Course Contents⭐️
⌨️ (0:00:00) Welcome
⌨️ (0:04:33) Intro to MongoDB
⌨️ (0:07:49) How do document DBs work?
⌨️ (0:10:34) Who uses MongoDB
⌨️ (0:13:02) Data modeling
⌨️ (0:16:30) Modeling guidelines
⌨️ (0:22:11) Integration database
⌨️ (0:24:23) Getting demo code
⌨️ (0:30:07) How ODMs work?
⌨️ (0:32:55) Introduction to mongoengine
⌨️ (0:34:01) Demo: Registering connections with MongoEngine
⌨️ (0:37:20) Concept: Registering connections
⌨️ (0:39:14) Demo: Defining mongoengine entities (classes)
⌨️ (0:45:22) Concept: mongoengine entities
⌨️ (0:49:03) Demo: Create a new account
⌨️ (0:56:55) Demo: Robo 3T for viewing and managing data
⌨️ (0:58:18) Demo: Login
⌨️ (1:00:07) Demo: Register a cage
⌨️ (1:10:28) Demo: Add a bookable time as a host
⌨️ (1:16:13) Demo: Managing your snakes as a guest
⌨️ (1:19:18) Demo: Book a cage as a guest
⌨️ (1:33:41) Demo: View your bookings as guest
⌨️ (1:41:29) Demo: View bookings as host
⌨️ (1:46:18) Concept: Inserting documents
⌨️ (1:47:28) Concept: Queries
⌨️ (1:48:09) Concept: Querying subdocuments with mongoengine
⌨️ (1:49:37) Concept: Query using operators
⌨️ (1:50:24) Concept: Updating via whole documents
⌨️ (1:51:46) Concept: Updating via in-place operators
⌨️ (1:54:01) Conclusion

📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=E-1xI85Zog8&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=10
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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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Learn Python by Building Five Games - Full Course. DO NOT MISS!!!

Learn Python in this full tutorial course for beginners. This course takes a project-based approach. We have collected five great Python game tutorials together so you can learn Python while building five games. If you learn best by doing, this is the course for you.
⭐️ Course Contents ⭐️
⌨️ (0:01:18) Pong
⌨️ (0:45:36) Snake
⌨️ (1:34:57) Connect Four
⌨️ (2:42:36) Tetris
⌨️ (4:22:12) Online Multiplayer Game
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=XGf2GcyHPhc&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=4
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