Python for Everybody- Learn Python 3
4.4 (49 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4,901 students enrolled

Python for Everybody- Learn Python 3

Learn Hand on experience in python ,work on real world projects like, IoT, AI using Opencv in python.
4.4 (49 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4,901 students enrolled
Last updated 7/2019
English
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Current price: $13.99 Original price: $19.99 Discount: 30% off
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This course includes
  • 24 hours on-demand video
  • 4 articles
  • 9 downloadable resources
  • 2 Practice Tests
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Learn all the coding fundamentals in Python!
  • Learn about all of the latest features in Python 3
  • Build games with Python
  • Become an expert at list and dictionary comprehensions
  • Write your own custom modules,Work with files, including CSV
  • Use Python to schedule programs based on computer events.
  • Have the skills and understanding of Python to confidently apply for Python programming jobs.
  • Study from MIT press notes
  • Get Standard libraries and Various data on related topics
Requirements
  • Access to a computer with an internet connection.
  • No prior knowledge of Python is required.
  • Prepare to write thousands of lines of python exercises!
  • Having an strong enthusiasm of learning!
Description

This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!

We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we've got you covered!

Become a Python Programmer and learn one of employer's most requested skills of 2019!

this course is for you whether you want to:

- build the skills you need to get your first Python programming job

- move to a more senior software developer position

- get started with Machine Learning, Data Science, Django or other hot areas that Python specialises in

- or just learn Python to be able to create your own Python apps quickly.

…then you need a solid foundation in Python programming. And this course is designed to give you those core skills, fast.

Questions arises in every single mind before opting any course

  • Will this course give you core python skills?

Yes it will. There are a range of exciting opportunities for Python developers. All of them require a solid understanding of Python, and that’s what you will learn in this course.

  • What if you have questions?

As if this course wasn’t complete enough, we offer full support, answering any questions .

If you want to take ONE COURSE to master Python take this course.

What material i will get in this course?

Yes, you will get study materials like

  • Free books on Python.

  • Free interview questions (frequently asked by most Industries)

  • Free notes from MIT Press.

Who this course is for:
  • Programmers switching languages to Python.
  • Intermediate Python programmers who want to level up their skills!
  • Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.
  • Anyone who wants to get tons of practice with the interactive exercises.
  • Anyone who want to compete in python word and make the world to be smartest and better
Course content
Expand all 101 lectures 24:14:27
+ Introduction
9 lectures 01:17:18
Introduction
08:21
How to Install Python 3 on Windows 10
05:52

Python Tutorial

Python tutorial provides basic and advanced concepts of Python. Our Python tutorial is designed for beginners and professionals.

Python is a simple, general purpose, high level, and object-oriented programming language.

Python is an interpreted scripting language also. Guido Van Rossum is known as the founder of Python programming.

Our Python tutorial includes all topics of Python Programming such as installation, control statements, Strings, Lists, Tuples, Dictionary, Modules, Exceptions, Date and Time, File I/O, Programs, etc. There are also given Python interview questions to help you better understand Python Programming.

Python Introduction

Python is a general purpose, dynamic, high level, and interpreted programming language. It supports Object Oriented programming approach to develop applications. It is simple and easy to learn and provides lots of high-level data structures.

Python is easy to learn yet powerful and versatile scripting language, which makes it attractive for Application Development.

Python's syntax and dynamic typing with its interpreted nature make it an ideal language for scripting and rapid application development.

Python supports multiple programming pattern, including object-oriented, imperative, and functional or procedural programming styles.

Python is not intended to work in a particular area, such as web programming. That is why it is known as multipurposeprogramming language because it can be used with web, enterprise, 3D CAD, etc.

We don't need to use data types to declare variable because it is dynamically typed so we can write a=10 to assign an integer value in an integer variable.

Python makes the development and debugging fast because there is no compilation step included in Python development, and edit-test-debug cycle is very fast.

Python 2 vs. Python 3

In most of the programming languages, whenever a new version releases, it supports the features and syntax of the existing version of the language, therefore, it is easier for the projects to switch in the newer version. However, in the case of Python, the two versions Python 2 and Python 3 are very much different from each other.

A list of differences between Python 2 and Python 3 are given below:

  1. Python 2 uses print as a statement and used as print "something" to print some string on the console. On the other hand, Python 3 uses print as a function and used as print("something") to print something on the console.

  2. Python 2 uses the function raw_input() to accept the user's input. It returns the string representing the value, which is typed by the user. To convert it into the integer, we need to use the int() function in Python. On the other hand, Python 3 uses input() function which automatically interpreted the type of input entered by the user. However, we can cast this value to any type by using primitive functions (int(), str(), etc.).

  3. In Python 2, the implicit string type is ASCII, whereas, in Python 3, the implicit string type is Unicode.

  4. Python 3 doesn't contain the xrange() function of Python 2. The xrange() is the variant of range() function which returns a xrange object that works similar to Java iterator. The range() returns a list for example the function range(0,3) contains 0, 1, 2.

  5. There is also a small change made in Exception handling in Python 3. It defines a keyword as which is necessary to be used. We will discuss it in Exception handling section of Python programming tutorial.

Install PyCharm ( Python IDE ) on Windows 10
08:11
Install Anaconda Python, Jupyter Notebook And Spyder on Windows 10
13:06
How To Install PyCharm In Ubuntu 18.04 Create and Run First Python Project
10:17
Install Anaconda Python, Jupyter Notebook, Spyder on Ubuntu 18.04 Linux
14:26
Install Anaconda Python, Jupyter Notebook And Spyder on Mac
10:50
+ Tutorial of python
50 lectures 08:43:05
Basic Math, Mathematical Operators
12:35
Python Variables and Types
12:09
Loops
01:58
Python print() and input() Function
12:37
Python Built-in Functions and Built-in Module
07:14
Creating and Executing your First Python Script
12:38
Python Strings and Comments
14:47
Strings
02:54
Boolean, Comparison Operators and Logical Operators
11:05
Python IF ELSE Statements
08:54
Python IF...ELIF...ELSE Statements nested IF statement
09:06
Python Lists
10:05
Python Tuples
06:54
Python Sets
13:40
Python Dictionary
09:17
Python Slice and Negative index
10:52
Python while Loop
10:15

You will solve Question on While loop

While loop Test
2 questions
Python for Loop
08:03
Python break, continue statement
06:53
Python Functions
12:28
Default Arguments, _args and _kwargs
07:52
Introduction to Object-Oriented Programming
10:08
Classes and Objects in Python
10:26
Python __init__ and self in class
12:04
Is it possible to define multiple constructors
08:10
Python Encapsulation
11:35
Private methods in Python
06:17
Python Inheritance
15:09
How To Create Modules in Python 3
12:29
Python Multiple Inheritance
05:44
Python super()
07:49
Python Composition
05:52
Python Aggregation Difference in Aggregation
07:20
Python Abstract Classes
08:35
Python Exception handling Python Try ExceptION
15:04
Try Except Else Finally
05:55
Raising Exceptions In Python
06:24
Raising Custom Exceptions
05:01
Idea behind - if __name__ == '__main__'
07:27
Create a Text File and Write in It Using Python
13:33
Reading Files in Python
11:42
Working With JSON Data in Python
12:03
Python Iterators
14:37
Python Generators
16:13
Command Line Arguments in Python
18:31
Lambda, filter, reduce and map
18:48
Python Closures nested functions
14:05
Python Decorators
19:56
Python Operator Overloading
16:59
Loop Quiz
5 questions
While loops 2
3 questions
String Quiz
3 questions
Python Programming Quiz-1
3 questions
Python Programming Quiz-2
3 questions
Python Programming Quiz -3
3 questions
Python Programming Quiz-4
3 questions
Python tuple
02:52
+ Introduction to Python debugger
4 lectures 42:54
An Introduction to Python Debugger
21:07
How to use PyCharm to debug Python code
08:33
How to use Pip and PyPI for managing
07:58
How to Install Pip packages using PyCharm
05:16
+ Local and global variables
1 lecture 15:54
Global, Local and Nonlocal variables in Python
15:54
+ Python unit testing
5 lectures 01:04:33
Getting started with pytest
15:16
Using Options with Pytest
17:17
Parameterizing tests
07:38
pytest fixtures setupteardown methods
14:41
Using PyCharm to run pytest tests
09:41
+ Python thread
6 lectures 03:13:49
Introduction to multithreading
10:01
thread module in Python 3
12:47
threading module in Python 3
11:20
How to use a thread in a subclass
12:18
oops in python
02:15:58
Thread Synchronization Using Locks
11:25

Checking Understading knowledge

Python Test
3 questions
+ Python numpy
5 lectures 02:08:13
Introduction Installing numpy
12:24
Basic properties and Methods in NumPy
13:29
Creating specific arrays, Reshape
14:00
How to Install PyCharm
25:23
Data Structures
01:02:57
+ Open CV python tutorial
18 lectures 05:42:08
Introduction to OpenCV
05:57
How to Install OpenCV for Python
10:12
How to Read, Write, Show Images
17:37
How To Install OpenCV 4 for Python on Ubuntu
07:21
Handle Mouse Events in OpenCV
16:45
OpenCV Python Tutorial For Beginners 10
17:09
How to Bind Trackbar To OpenCV
18:30
Object Detection and Object Tracking
19:51
Simple Image Thresholding
13:08
Adaptive Thresholding
10:02
matplotlib with OpenCV
14:48
Morphological Transformations
22:17
Smoothing Images Blurring Images
17:55
Image Gradients and Edge Detection.
14:24
Canny Edge Detection in OpenCV
07:39
Image Pyramids with Python
20:40
Image Blending using Pyramids
21:32
Find Lanes for Self-Driving Cars
01:26:21
Polymorphosim Quiz
5 questions
Exception Handling and Encapsulation Quiz
4 questions
Inheritance Quiz
4 questions
+ Tips, Notes and Some more
3 lectures 01:06:32
How to be a Good Software Developer Coder Programmer
18:40
Real-World Python Deep Learning Projects
37:28
Learn Computer Vision with Python and OpenCV
10:24