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Learn Python - Full Course for Beginners

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Learn Python - Full Course for Beginners

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


Course developed by Mike Dane. Check out his YouTube channel for more great programming courses:

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Zero to Hero with Python Programming - 2017 Full Python tutorial from beginners to advanced learners

Are you brand new to coding? Want to see how fun and easy it can be? Watch engaging experts Susan Ibach and Christopher Harrison for an entertaining introduction to programming with Python. Susan and Christopher offer a step-by-step walk-through, from a basic idea to translating that idea into code, and everything in between.

Don't worry about making mistakes! Python uses simple syntax, has an easy learning curve, and is a very forgiving language. Gain a new skill or complete a task by the end of each module, and, by the end of the course, you will be programming in Python! You also learn basic principles which can make it easier for you to learn other programming languages in the future. Don't miss this opportunity to go beyond the if statement!


Instructor | Susan Ibach - Microsoft Canada Technical Evangelist; Christopher Harrison -Microsoft Content Development Manager

Getting Started
Explore applications of Python language, and create a Hello world application for Python in Visual Studio, as you learn the benefits of knowing Python. Get help setting up your computer, so you can start coding.

Displaying Text
Get an introduction to the print statement, comments, and basic formatting, so you can display and format text to a user.

String Variables
Learn about the input statement, string variables, and manipulate strings, so you can prompt a user for input, store values in a string, and use string functions to manipulate string values.

Storing Numbers
Hear an introduction to numeric datatypes and variables, how to do math operations, and datatype conversions. Learn to store numeric values and perform math operations.

Working with Dates and Times
Get the details on date variable storage and issues, along with date functions and formatting, so you can store and manipulate date values.

Making Decisions with Code
Hear an introduction to basic if/else statements and Boolean variables, so you can write code that reacts differently to different user inputs.

Complex Decisions with Code
Explore and/or statements, nested if statements, and elif, so you can write code that reacts differently to more complex user inputs.

Repeating Events
Take a look at for loops and nested for loops, so you can write programming in Python that repeats a fixed number of times.

Repeating Events Until Done
Play with while loops, and learn when to use for versus while loops, so you can write code that repeats as often as needed.

Remembering Lists
Get the details on arrays and lists, so you can store multiple values.

How to Save Information in Files
Hear about functions for creating and writing to files, so you can write code that saves information in a file and remember it later.

Reading from Files
Explore functions for reading from files, so you can read information that was saved in a file.

Functions
Learn about the syntax for declaring functions and how to call functions from your code, so you can use functions to avoid retyping the same code over and over.

Handling Errors
Get the details on syntax for error handling, so you can write code that can handle common error situations without crashing.
#Python #python-programming #tutorials #programming #pythongteacher
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Python Tutorial - Complete Programming Tutorial for Beginners (2019)

Watch this Python tutorial to learn Python programming. If you're a beginner, this programming tutorial is the best place to learn programming.
👍Subscribe for more Python tutorials for beginners:

📕Get My FREE Python Cheat Sheet:


🔥Get My Complete Python Course with a 90% Discount (LIMITED to the first 200 students):


Stay in Touch:




Supplementary Materials for this Course:


Python Exercises to Learn Programming:


My Favorite Python Books:
- Python Crash Course:
- Automate the Boring Stuff with Python:
- A Smarter Way to Learn Python:
- Machine Learning for Absolute Beginners:
- Hands-on Machine Learning with scikit-learn and TensorFlow:


TABLE OF CONTENT

00:00:00 Introduction
00:01:49 Installing Python
00:06:10 Your First Python Program
00:08:11 How Python Code Gets Executed
00:11:24 How Long It Takes To Learn Python
00:13:03 Variables
00:18:21 Receiving Input
00:22:16 Python Cheat Sheet
00:22:46 Type Conversion
00:29:31 Strings
00:37:36 Formatted Strings
00:40:50 String Methods
00:48:33 Arithmetic Operations
00:51:33 Operator Precedence
00:55:04 Math Functions
00:58:17 If Statements
01:06:32 Logical Operators
01:11:25 Comparison Operators
01:16:17 Weight Converter Program
01:20:43 While Loops
01:24:07 Building a Guessing Game
01:30:51 Building the Car Game
01:41:48 For Loops
01:47:46 Nested Loops
01:55:50 Lists
02:01:45 2D Lists
02:05:11 My Complete Python Course
02:06:00 List Methods
02:13:25 Tuples
02:15:34 Unpacking
02:18:21 Dictionaries
02:26:21 Emoji Converter
02:30:31 Functions
02:35:21 Parameters
02:39:24 Keyword Arguments
02:44:45 Return Statement
02:48:55 Creating a Reusable Function
02:53:42 Exceptions
02:59:14 Comments
03:01:46 Classes
03:07:46 Constructors
03:14:41 Inheritance
03:19:33 Modules
03:30:12 Packages
03:36:22 Generating Random Values
03:44:37 Working with Directories
03:50:47 Pypi and Pip
03:55:34 Project 1: Automation with Python
04:10:22 Project 2: Machine Learning with Python
04:58:37 Project 3: Building a Website with Django


This Python tutorial covers everything you need to learn Python for machine learning, data science, AI, automation and web development.

If you’re a beginner and want to learn to code from scratch, this video is the ideal programming tutorial for you. Watch this programming tutorial to the end and you'll learn to code in no time.

If you’re an experienced programmer and just want to learn Python programming, watch this Python tutorial to the end and complete the exercises and projects.

First, we’ll cover all the essential constructs in the Python programming language, and then we’ll build 3 Python projects together. These projects involve:

- Automation: You’ll write a Python script that can process thousands of Excel spread sheets in less than a second.

- Machine Learning: You’ll learn to write a Python program that can predict the kind of music people like based on their profile.

- Web Development: You’ll learn how to build a website with Python and Django - a popular framework for web development.

These projects help you learn Python or just learn programming by doing.

Note that this Python tutorial is entirely about Python 3. If you want to learn Python 2, you’ll need to take a different course.

Python OOP Tutorial 1: Classes and Instances

In this Python Object-Oriented Tutorial, we will begin our series by learning how to create and use classes within Python. Classes allow us to logically group our data and functions in a way that is easy to reuse and also easy to build upon if need be. Let's get started.

Python OOP 1 - Classes and Instances -
Python OOP 2 - Class Variables -
Python OOP 3 - Classmethods and Staticmethods -
Python OOP 4 - Inheritance -
Python OOP 5 - Special (Magic/Dunder) Methods -
Python OOP 6 - Property Decorators -

The code from this video can be found at:



If you enjoy these videos and would like to support my channel, I would greatly appreciate any assistance through my Patreon account:


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#Python
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Python Tutorial for Absolute Beginners #1 - What Are Variables?

Learn Python programming with this Python tutorial for beginners!

Tips:
1. Here is the playlist of this series:
2. If you want to learn faster than I talk, I’d recommend 1.25x or 1.5x speed :)
3. Check the outline in the comment section below if you want to skip around.
4. Download the sample files here to follow along (they are Jupyter Notebook files):
5. Have fun! If anything is unclear, please let me know in a comment.

Keep in touch on Facebook:
Subscribe to my newsletter:
Support me on Patreon:

Outline (check the comment section for a clickable version):
0:00 : Introduction
0:17 : Who’s this tutorial for?
0:30 : An outline of this video
1:18 : What is Python and what can you do with it?
2:01 : What is IDE and why I chose Jupyter Notebook
3:09 : How Jupyter Notebook works
4:19 : How to install Python and Jupyter (through Anaconda)
5:58 : Launching Jupyter
7:59 : The print() function
10:24 : Introduction to variables
13:08 : What are variables (in Python)?
16:42 : Assigning a variable to another variable
19:03 : A practice problem - swapping two variables
20:40 : Solutions to the practice problem - swapping two variables

Learn Python Programming 🔥 Full Course ✌️ Absolute Beginners

This python programming course will teach you all the fundamental and core concepts of python programming language. Follow this python tutorial video and be a python programmer from zero experience. Checkout the full Python Programming Course in 5 Hours on Udemy:

বাংলা ভাষায় পাইথন শিখতে ভিজিট করুন: or

🚀 Topics Click To Go Directly
⌨️ 0:00 | Introduction

💪 Python Setup
⌨️ 0:52 | Python Setup in Mac
⌨️ 1:48 | Python Setup in Windows
⌨️ 2:37 | Visual Studio Code Editor Setup in Mac
⌨️ 3:21 | Visual Studio Code Editor Setup in Windows

🤔 Hello World Python Basics
⌨️ 4:18 | Code Run in IDLE Mac
⌨️ 5:07 | Code Run in IDLE Windows
⌨️ 6:03 | Code Run in Mac Terminal
⌨️ 7:38 | Code Run in Windows PowerShell
⌨️ 8:48 | Script Run in Mac Terminal
⌨️ 10:27 | Script Run in Windows PowerShell

📖 Python Basics
⌨️ 12:42 | Variable
⌨️ 20:08 | Operators
⌨️ 28:48 | String
⌨️ 40:47 | Condition if elif else
⌨️ 49:54 | Iteration While and For Loop

📚Collection in Python
⌨️ 57:38 | List
⌨️ 1:13:24 | Tuple
⌨️ 1:18:29 | Dictionary
⌨️ 1:24:56 | Set

⚒Function and Lambda in Python
⌨️ 1:28:05 | Function
⌨️ 1:54:21 | Lambda

🚁Object Oriented Programming in Python
⌨️ 1:56:01 | Class
⌨️ 2:20:59 | Inheritance

⛵️Python Programming Features
⌨️ 2:38:29 | Modules
⌨️ 2:49:47 | Exceptions Handling
⌨️ 3:02:48 | Script Arguments
⌨️ 3:08:19 | __main__ Entry Point
⌨️ 3:11:36 | Conditional Expression
⌨️ 3:13:25 | Comprehension Syntax

✈️Python Tutorial Advanced
⌨️ 3:17:44 | Decorator
⌨️ 3:22:17 | Files RW | CSV | JSON
⌨️ 3:46:53 | Regular Expression
⌨️ 4:02:43 | Unit Test
⌨️ 4:09:11 | End

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Python is an interpreted high level language for general purpose programming. It was initiated by Guido Van Rossum and first released in 1991. It is a duck type language, easy to understand and now very popular in both academic and professional world.

Using Python one can write simple script to web app development. Also in machine learning or in deep learning python is very popular as it has some outstanding open source libraries.

Python 3 has a built-in IDLE – Interactive Development Environment installed automatically. If you run it you can see the following window. At the top left you can see the version number installed, here we are seeing Python 3.7

Web scraping is a technique to extract data from webpage using computer program. Python is a very popular language for web scraping. Python’s built-in urllib library to connect website and retrieve data and a third party BeautifulSoup library to parse HTML data are very popular combination of python web scraping.

Sometimes we also want to scrap some webpage’s information but which is fully loaded by JavaScript framework. In normal scraping techniques it’s not possible to scrap data as the data is loaded lazily. We can solve both webpage testing and dynamic web page scraping by running JavaScript code using Selenium library.

#python_full_course #python #beginners
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How to Learn Python - Best Courses, Best Websites, Best YouTube Channels

I show you how to learn python. There are so many python learning resources, how do you know which are the best? To save you time, I have collated what I think are the best python learning resources available. These are my favourite python courses, websites, books and YouTube channels. I hope you like them too.
If this has been useful, then consider giving your support by buying me a coffee
Links:

Udemy

The Python Mega Course -

The Complete Python Bootcamp -

The Modern Python 3 Bootcamp -

Automate the Boring Stuff Video Course -

Udacity

Introduction to Python -

Programming Foundations With Python -

Coursera

Python for Everybody -

Python Websites

Github -

Python 3 Module of the Week -

Introduction to Python - Quantitative Economics -

Books (affiliate links)

Automate the Boring Stuff with Python -

Learn Python the Hard Way -

Python Programming -

Python Crash Course -


YouTube Channels

Sirar Raval -

MIT Python Course (Introduction to Computer Science and Programming) -

My Python Course -


Music by

#LearnPython #Python #HowtolearnPython

Python - 2019 Action plan to learn it - Step by step

Python is a great programming language and if you have decided that you will learn python in 2019, that's a great choice.
Python is great for web scrapping, analyzing logs, pentesting, web development, data science, Machine Learning etc.
But python should not be used for doing everything. Python has its pros and cons.

In this video, I will talk about an action plan to learn python. How to get started and what libraries to learn to into various domains like pentesting, web, data science and Machine Learning.

I have also talked about RegEx. There are few resources that I have mentioned. Most of them are here:


and 1 book that was mentioned is this one (I am not sure about latest version of this book)


Link to my programming Video Library:


Pick best UI color for your projects:


Desktop:
Laptop that I use:
Wallpaper:

Facebook:
homepage:
Download LearnCodeOnline.in app from Google play store and Apple App store


Disclaimer:
It doesn't feel good to have a disclaimer in every video but this is how the world is right now.
All videos are for educational purpose and use them wisely. Any video may have a slight mistake, please take decisions based on your research. This video is not forcing anything on you.

All Amazon links are affiliate links (If any).

#1 Introduction to Python | Hindi | MySirG.com

Hello Friends, This is first lecture of Python tutorial in Hindi
Watch it.
Visit for premium courses
Like, Comments, Share and SUBSCRIBE
visit for all FREE videos

Learn Python 3.6 In One Video In Hindi (2019) - Python सीखें हिंदी में

In 2019 I made a Latest and Full Python Free Course here -
This course is a complete python course with 100+ videos along with full source code! Watch it and ask doubts in the comments!
All the best!

Also WATCH MY 2019 UPDATED PYTHON IN ONE VIDEO HERE -
Source code and text tutorial is available here -

Hey Everone, In This Video I Tried To Explain Basic Concept Of Python...Though One Video Is Not Enough To Learn Everything About Python.
Even Then This Video Is Enough To Get The Basic Idea Of Python Programming Language.
If you have already learned Python and want to revise some specific key points, then skip directly to the points you are looking for:
0:10 = Install Python and IDE (Integrated Development Environment)
3:25 = Installing Directory For New Project
5:45 = Modules
7:40 = Print Function In Python
8:10 = Comments In Python
10:00 = Variables In Python
12:10 = Data Types In Python
12:50 = Operators In Python
16:20 = Add Two Strings
20:30 = List In Python
21:30 = List Indexing
24:05 = Add Items In List
25:20 = Remove Items From List
25:50 = Reverse List Items
26:40 = Tuples In Python
28:57 = Dictionaries In Python
31:55 = If-Else Condition
34:40 = Loops In Python
38:02 = Functions In Python
39:48 = File Handeling In Python
42:55 = OOPS (Objests oriented programming subject)
45:30 = Jyaka OOPS Ka
46:12 - 46:14 = Din me kitni baar Mast**
46:33 = Karo, shaamtak acchi khbar, guaranteed
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#1 Python Tutorial for Beginners | Introduction to Python

Python Tutorial to learn Python programming with examples
Complete Python Tutorial for Beginners Playlist :
Python Tutorial in Hindi :

In this video we will see :
- What is python
- Why to learn it
- Why it is so useful

Python is one of the fastest growing language

Python is interpreted, object oriented, high level, procedure oriented language

It has different versions

The reason behind it is there are huge number of libraries available in the market, many companies and developers are using it and it can be implemented in many areas.

It is general Purpose language as it can be used in Machine learning, GUI, Software Development, Web development and many more.

Google, YouTube, Dropbox, NASA, Yahoo use python

Reddit totally uses python


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ASUS ROG Strix - (new version)

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Mics



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Python Tutorial for Programmers - Python Crash Course

Finally a Python tutorial for programmers! Watch this Python crash course to learn Python fast.
🔥Subscribe for more Python tutorials like this:
🔥Get the COMPLETE Python Course:

Python Exercises for Beginners:


Python Cheat Sheet:



Subscribe to my YouTube channel for more videos:


Want to learn more from me? Check out my blog and courses:






TABLE OF CONTENT:
00:00:00 What is Python?
00:03:22 Installing Python
00:05:43 Code Editors
00:06:42 Your First Python Program
00:09:09 Python Extensions
00:12:03 Linting Python Code
00:16:19 Formatting Python Code
00:20:15 Running Python Code
00:23:16 Python Implementations
00:25:46 How Python Code is Executed
00:29:43 Variables
00:31:50 Dynamic Typing
00:34:28 Type Annotation
00:36:20 Mutable and Immutable Types
00:39:19 Strings
00:43:32 Escape Sequences
00:46:54 Formatted Strings
00:49:04 Useful String Methods
00:52:26 Numbers
00:54:37 Arithmetic Operators
00:56:26 Working with Numbers
00:59:05 Type Conversions
01:03:29 Conditional Statements
01:06:55 Logical Operators
01:10:03 Ternary Operators
01:11:22 For Loops
01:15:32 For..Else
01:18:12 While Loops
01:20:00 Functions
01:24:43 *args
01:27:12 **args
01:29:18 Scope
01:32:57 Debugging
01:36:31 VSCode Coding Tricks (Windows)
01:38:55 VSCode Coding Tricks (Mac)
01:40:45 Exercise: FizzBuzz
01:42:16 Solution
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Learn Python 3 in one video (in Hindi) | Basics |

Learn Python 3 Basics in one video in your mother language Hindi/Urdu.

*important Links -
download Python 3 -
download python IDE -
learn Python -
learn any programming language -
for any query about python contact us any time on our facebook page -


Python is a scripting language like PHP, Perl, Ruby and so much more. It can be used for web programming (django, Zope, Google App Engine, and much more). But it also can be used for desktop applications (Blender 3D, or even for games pygame). Python can also be translated into binary code like java.


According to Python organization-
Python is a programming language that lets you work quickly and integrate systems more effectively.



What will you learn in This video - (in Hindi)

1. How to download and install python in Windows?
2. How to add path to environment variables so can we access python in command prompt?
3. How to write a simple program in Python?
4. How to run a program through command prompt (or cmd)
5. How to take input from keyboard in Python program.
6. Datatypes in Python.
7. Declaring variables in Python (String,int,bool,float,double)
8. escaping characters.
9. Arithmatic operators in Python 3.6?
10. Lists and its methods in Python 3 (.append(), .insert(), .pop())
11. conditional statements in Python 3 (if,else)
12. Loops (while,loop) in Python 3.
13. Break and continue statements in Python.
14. functions in python (having no arguments, having argument, function returns something, default value for argument, Keyword argument, flexible number of arguments)
15. Sets in Python 3
16. Dictionaries in Python 3
17. Modules in Python
18. File handeling in Python 3 (write into a file, read from a file, )
19. Exception Handeling in Python 3
20. Classes and objects in Python 3
21. __int__ function in Python 3
22. Class variables vs instance variables in Python 3
23. Inheritance in Python 3
24. Multiple inheritance in Python 3
25. Multithreading in Python 3.
26. Lambda expressions in Python 3
27. Bitwise operators.

and many more.



if you've any problem related with this video or in any concept of Python feel free to comment below or contact on our facebook page(link given above), we'll reply as soon possible.
Thanks

Python Tutorial For Beginners | Python Full Course | Python Programming Tutorial | Edureka

** Python Certification Training: **
This Edureka video on Python Tutorial (Python Tutorial Blog: covers all the basic knowledge for beginners who are planning to switch over to Python Development.

01:19 Introduction to Python
02:16 Reasons to choose Python
05:02 Who is using Python?
05:25 Installing and running Python
07:25 Installing Jupyter Notebook
09:11 Variables in Python
11:27 Python Tokens
11:41 Python Keywords
12:05 Python Identifiers
14:26 Python Literals
19:51 Python Operators
31:38 Data Types in Python
32:03 Numbers
33:18 Strings
40:00 Tuples
42:31 Lists
46:50 Dictionaries
50:42 Sets
52:52 Flow Control in Python
53:11 if-else
53:09 nested if else
57:03 for statement
59:49 while loop
01:01:37 break statement
01:02:44 continue statement
01:04:59 Function in Python
01:09:59 Pass By Value
01:10:52 Pass By Reference

Subscribe to our channel and hit the bell icon to get video updates.

#PythonEdureka #Edureka #PythonTutorial #PythonTraining #PythonProgramming

Check out our Python Tutorial Playlist:

How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -

About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in Python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

- - - - - - - - - - - - - - - - - - -

Why learn Machine Learning with Python?

Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

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Python Tutorial for Beginners From the Basics to Advanced 1/2

Hello World Basics of Python 4:08 Hello World 5:46 Variables 8:48 Multiple variable declarations 12:32 Numbers & operators 16:30 Strings & string functions 23:56 Arrays 30:00 More array functions 37:19 Dictionaries 44:13 Dictionary functions 49:26 Tuples 54:38 Conditions (if/else) 58:06 Relational operators 1:04:03 Nested if/else-statements 1:08:26 Elif-statements 1:12:00 Logical operators 1:15:59 For-loops 1:23:20 While-loops 1:26:56 Nested for-loops 1:30:28 Prime number generator 1:39:22 Break, pass & continue 1:47:07 Try & except 1:49:59 Commenting 1:53:53 Quick tips 2:00:18 Functions 2:05:06 Global & local variables 2:07:52 Abs & Bool 2:11:48 Dir & Help 2:15:26 Eval & Exec 2:18:38 Int, Str & Float 2:22:22 Quick recap and the Sum Classes 2:26:43 Basics of classes 2:34:16 Functions of classes 2:38:22 Class attributes 2:44:43 Inheritance 2:51:54 Overriding methods File I/O 2:54:48 Creating a file 2:58:05 Reading a file 3:06:23 Writing to files 3:10:03 Appending to files 3:14:53 Copying to files Introduction to modules 3:19:23 Randint 3:21:59 Guessing game 3:31:32 Shuffle & Choice 3:35:40 Sys module 3:41:18 Time module Turtle module 3:53:22 Turtle module intro 3:57:39 For loops in turtle 4:02:02 Up & down in turtle 4:05:39 Coloring in turtle 4:14:07 Functions in turtle Crawling the web 4:18:16 Re module 4:27:45 Stocks 4:45:00 Weather 4:58:01 Definition Beautiful Soup 5:10:03 Introduction to further subjects 5:11:43 Installing Pip, BS4 & Requests 5:21:03 Prettify 5:34:46 .Children, .Descendants & .Content 5:40:30 .Parent & .String 5:44:27 Searching 5:53:19 Weather Parsing 6:04:22 Antonym Parsing MatPlotLib 6:11:15 Installing MatPlotLib 6:14:42 Creating our first graph 6:19:35 MatPlotLib interface 6:23:20 Adding labels 6:28:38 Graph from data in file 6:38:49 Basic coloring and subplots 6:46:30 More coloring 6:53:13 Multiple plots 6:57:23 Multiple graphs 7:01:43 3 graphs in a figure 7:08:01 Bar graphs 7:12:21 Modifying bar graphs 7:19:34 Pie charts 7:22:17 Modifying pie graphs 7:26:07 Adding a legend 7:29:33 3D Graphics 7:36:42 3D Scatter Plots 7:41:46 Multiple scatter plots 7:44:32 3D Bar graphs 7:54:28 3D Wireframe Pandas 8:00:00 Introduction 8:01:59 Series Data Structure 8:10:59 More Series functions 8:18:55 Data Frames 8:27:26 Create a CSV 8:29:46 Reading a CSV file 8:35:31 Writing to a CSV file 8:38:38 Getting our data 8:43:37 Slicing data frames 8:47:15 Data manipulation 8:57:42 Indexing and more 9:05:53 Merging data frames 9:14:48 GroupBy-function 9:20:47 MovieLens data 9:28:29 Heavy data manipulation 9:37:00 MatPlotLib with Pandas 9:41:16 MatPlotLib with Pandas pt. 2

Learn A-Z everything about Python, from the basics, to advanced topics like Python GUI, Python Data Analysis, and more! Do you want to be able to create games, parse the web and much more? If you need a quick brush-up, or learning Python for the first time, you've come to the right place! Let's get started learning one of the most easiest coding languages out there right now. There's no need to fret if you haven't coded before. By the time you finish this course, you'll be a pro at Python! Python is a great and friendly language to use and learn. It fun, and can be adapted to both small and large projects. Python will cut your development time greatly and overall, its much faster to write Python than other languages. This course will be a quick way to understand all the major concepts of Python programming. You'll be a whiz in no time. This course is a one-stop-shop for everything you'll need to know to get started with Python, along with a few incentives. We'll begin with the basics of Python, learning about strings, variables, and getting to know the data types. We'll soon move on to the loops and conditions in Python. Once we're done with that, we'll learn about functions and modules used in Python. After that we'll start to crawl the web for data like Stocks, and last but not least create some epic games in Python, using advanced code. I hope you're excited to dive into the World of Python with this course. Well, what are you waiting for? Let's get started!
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Python Tutorial From Basic To Advance

Python Tutorial For Beginners | Learn Python

Learn More about Python @

This Python Tutorial is designed for beginners. A little/ no knowledge or experience is required to learn Python Programming. Learn Python from basic to advance level. From install python to writing search engine program.

Introduction to Python Prograamming

Python is an easy to learn, well-designed, high-level, interactive scripting programming language. It has a simple and effective approach to an object-oriented programming scripting language. It meets nearly all the fundamental aspects of a good general purpose programming language of today and tomorrow.

According to ieee.org top programming spectrum ranking, Python ranks 3rd in the popularity. It ranks far above the other popular languages like C#, PHP, Ruby and even C++. It falls just after the C and Java. python open

Python increases productivity many times beyond the compiled or statically typed languages such as Java, C, and C++. Mostly, Python code is one-third to the size of some popular languages like PHP, C++ or Java, or even sometimes one-fifth. This dramatically decreases the effort of code writing, debugging and further maintenance and obviously, increases the code readability and understanding.

Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.

The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation.

The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). Python is also suitable as an extension language for customizable applications.

This Python tutorial introduces the reader informally to the basic concepts and features of the Python language and system. It helps to have a Python interpreter handy for hands-on experience, but all examples are self-contained, so the tutorial can be read off-line as well.

For a description of standard objects and modules, see The Python Standard Library. The Python Language Reference gives a more formal definition of the language. To write extensions in C or C++, read Extending and Embedding the Python Interpreter and Python/C API Reference Manual. There are also several books covering Python in depth.
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Python Django Web Framework - Full Course for Beginners

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.

💻Code:

⭐️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

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Python Tutorial for Beginners | Python Full Course From Scratch | Python Programming | Intellipaat

Intellipaat's Python tutorial for beginners will teach you Python from scratch. In the Python tutorial, you will start by learning some python basics and how industry is using python, then we will move on to understand various tokens, data types, flow control statements and functions in Python. Finally in the end you will learn about file handling in Python.

Following topics are covered in Python tutorial:
1. Introduction to Python 3.0

2. Python Tokens

3. Data Types in Python

4. Flow Control

5. Function in Python

6. File Handling using Python

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Are you looking for something more? Enroll in our Python 3 certification training course and become a certified Python 3 Professional ( It is a 39 hrs instructor led training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

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Got any questions about things covered in this Python Tutorial? Ask us in the comment section below.
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You can learn Python much faster than any other programming language and this Python tutorial helps you do just that. This Intellipaat python class tutorial will familiarize you with the various Python programming concepts like python variables and datatypes, String manipulation, flow control in python and file handling in python. Python programming is one of the best languages that is finding increased applications for machine learning. Our Python tutorial has been created with extensive inputs from the industry so that you can learn Python Programming and apply it for real world scenarios like machine learning and data science.

Who should watch this Python tutorial video?

If you want to learn Python to become a Python programming expert then this Intellipaat Python tutorial for beginner will be your first step for you to learn Python 3 and Python 3.6. Since this Python tutorial and examples video can be taken by anybody, so if you are a computer programmer then you can also watch this Python 3 tutorial to take your coding skills to the next level.

Why Python programming is important?

This Python programming tutorial will show you how Python language has an elegant syntax, is easy to code, debug and run. You will learn Python is deployed across industry verticals by going through this video. Some of the main applications of Python are in Data Science, machine learning, statistical analysis, web development and web scraping. The Intellipaat Python tutorial is easy to understand, has real world Python examples and thus makes you understand why Python programming is so important and why you should learn Python and go for a Python career.

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Python Tutorial for Beginners | Python Programming Language Tutorial | Python Training | Edureka

Edureka Python Training (Flat 20% Off, Use code: YOUTUBE20) :
This Edureka Python Tutorial for Beginners (Python Tutorial Blog: will help you in understanding the various fundamentals of Python programming language with examples in detail. This Python tutorial video helps you to learn the following topics:

00:59 Introduction to Python
02:30 Who uses Python?
03:49 Features of Python
07:36 Installing and running Python
09:08 PyCharm IDE Installation
10:39 Operators in Python
11:02 Arithmetic Operators
18:46 Assignment Operators
19:19 Comparison Operators
22:42 Logical Operators
25:56 Bitwise Operators
32:51 Identity Operators
33:35 Membership Operators
34:53 Data Types in Python
36:24 Numbers
37:22 Strings
48:14 Tuples
53:34 Lists
58:05 Dictionaries
01:05:02 Sets
01:09:33 Flow Control
01:10:34 if statement
01:12:02 if else statement
01:16:57 while statement
01:21:26 for statement
01:30:27 break statement
01:32:28 continue statement
01:34:24 Functions in Python
01:36:40 Pass By Reference
01:40:15 File Handling in Python
01:45:07 Conclusion

Check out our Python Training Playlist:
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How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
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3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next Big Thing and a must for Professionals in the Data Analytics domain.

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free)

Python Programming For Beginners

In this crash course we will be going over Python programming basics like variables, data types and structures, functions, loops, classes and more. Timestamps are below...

Python Sandbox Files:


TIMESTAMPS:
2:15 - Comments, Variables & Data Types
9:50 - String Formatting & Methods
17:40 - Lists
24:15 - Tuples & Sets
33:09 - Dictionaries
42:15 - Functions
49:25 - Conditionals
59:09 - Loops
1:05:06 - Modules
1:15:52 - Classes & Objects
1:26:17 - Working With Files
1:30:57 - Working With JSON

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