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Python For Beginners

Name: Python For Beginners
Rating: 4.4 (3269 reviews)

This course specifically created for Data Science / AI / ML / DL. It covers BASICS PYTHON ONLY

Created byVinoth Rathinam

Last updated 11/2022

English

What you'll learn

Acquire the prerequisite Python skills to move into specific branches - Data Science(Machine Learning/Deep Learning) , Big Data , Automation Testing, Web development etc..
Have the skills and understanding of Python to confidently apply for Python programming jobs.

Course content

6 sections • 29 lectures • 3h 55m total length

Introduction to Python6:55
Agenda:
1. Overview of Python Syllabus
2. Scope of Python
3. Who is using python ?
4. How easy to learn Python ?
5. Sample Program 1: Java vs Python
6. Sample Program 2: C vs Python
7. Sample Program 3: VB Script vs Python

Reference URL: https://aiforevery1.com/python
How to choose Python IDE and Installation Steps8:12
Agenda:
1.How to choose Python IDE?
2.Reason to choose Python IDE?
3.List of Python IDE tools
4.Installation of Python 3
5.Installation of Anaconda Package
6.Configure Jupyter Notebook

Installation Path :
Python 3 : https://www.python.org/downloads/
Anaconda : https://www.anaconda.com/download/
Overview of Jupyter Notebook and Python Programming Basics8:20
Agenda:
1. 3 Important Coding Tips
2. What is Jupyter Notebook?
3. Use of Jupyter Notebook
4. Features of Jupyter Notebook
5. Creating Python 3 file
6. In Line Comments
7. Block Comments
8. Jupyter Documentation Feature

Reference URL: http://aiforevery1.com/overviewofjupyter
Identifiers and Keywords9:09
Agenda:
1. Creating Python 3 NoteBook
2. Creating Documentation in Jupyter NoteBook
3. Python Identifiers
4. Rules for Identifiers
5. Code Implementation of Identifier
6. Reserved Keywords
7. Code Implementation of Reserved Keywords

Reference URL: https://aiforevery1.com/pythonidentifiers
Python Variables6:31
Agenda:
1. What is Variable?
2. Memory Allocation Mechanism
3. Rules for Python Variables
4. Creating and Assigning Variables
5. Multiple Assignments
6. Memory Allocation for same value

Reference URL: https://aiforevery1.com/pythonvariables
Python Introduction

Python Numbers and Arithmetic Operators9:49
Agenda :
1. What is Data Type?
2. Types of Data Types
3. Types of Python Numbers
4. Identifying the Variable Types
5. What are Operators in Python?
6. Types of Operator
7. Arithmetic Operators
8. Rule of Precedence in Python

Reference URL: https://aiforevery1.com/pythonnumbers/
Arithimetic Operators
Comparison and Logical Operators5:47
Agenda :
1. What is Comparison Operators?
2. Types of Comparison Operators
3. Sample code for Comparison Operators
4. Types of Logical Operators
5. Sample code for Logical Operator

Reference URL: https://aiforevery1.com/logicalcomparisonoperator/
Assignment and Bitwise Operators8:17
Agenda :
1 What is Assignment Operator?
2 What is Augmented Assignment Operators?
3 Types of Assignment Operators
4 Sample code for Assignment Operators
5 What is Bitwise Operators?
6 Types of Bitwise Operators
7 Converting Decimal number to Binary number
8 Sample code for Bitwise Operators

Reference URL: https://aiforevery1.com/assignmentbitwiseoperator/
Identity and Membership Operators7:09
Agenda :
1 What is Identity Operator?
2 Sample code of ‘is’ operator
3 Sample code of ‘is not’ operator
4 What is Membership Operator?
5 Sample code of ‘in’ operator
6 Sample code of ‘not in’ operator

Reference URL: https://aiforevery1.com/identitymembershipoperator/
Operators

if and if else Statement5:42
Agenda :
1 Python Indentation
2 Python Control Statement
3 if statement
4 Sample program 1
5 Sample program 2
6 if else statement
7 Sample program 1
8 Sample program 2

Reference URL: https://aiforevery1.com/controlstatement/
if..elif..else and nested if Statement4:58
Agenda :
1 if..elif..else Statement
2 Sample program 1
3 Sample program 2
4 Sample program 3
5 Nested if Statement
6 Sample program 1

Reference URL: https://aiforevery1.com/controlstatement/
Control Statement
Python While Loop Statement4:58
Agenda :
1 Python Loop
2 While Loop
3 Sample program
4 Using Else statement with loop
5 Sample program
6 Infinite Loop
7 Sample program

Reference URL: https://aiforevery1.com/whileloop/
Python For Loop Statement10:10
Agenda :
1. What is For loop?
2. For loop with else statement
3. Looping through String
4. Range Function
5. Iterating by Sequence Index
6. Nested For Loop
7. 12 Sample Programs

Reference URL: https://aiforevery1.com/forloop/
For Loop
Python Break and Continue Statement7:05
Agenda :
1. What is Python Break Statement?
2. Break Statement using While Loop
3. Break Statement using for Loop
4. Break Statement using Nested for Loop
5. What is Python Continue Statement?
6. Continue Statement using While Loop
7. Continue Statement using for Loop

Reference URL: https://aiforevery1.com/breakcontinue/
Looping Statement

Python String Part 19:28
Agenda:
1. What is String?
2. How to define String?
3. How to access string with sample programs ?
4. What is Negative Slicing ?
5. What is Index Out of Range?
6. Types of Index Error

Reference URL: https://aiforevery1.com/string/
Python String Part 28:12
Agenda:
1. How to update a String?
2. How to delete a String?
3. Important String Operations
4. String Comparison
5. String Membership Operator
6. Iterating String using for loop

Reference URL: https://aiforevery1.com/string/
Python Strings
Python Strings Methods9:53
Agenda
17 most used Python Strings Methods

Reference URL: https://aiforevery1.com/stringmethods/
String Methods
Python Lists9:27
Agenda:
1. What is Lists?
2. How to create lists?
3. List Indexing and slicing
4. How to update the Lists?
5. How to delete the Lists?
6. Traversing lists using For loop

Reference URL: https://aiforevery1.com/pythonlist/
Python List
Python Lists Methods Part 18:01
Agenda:
10 Most used List Methods

Reference URL: https://aiforevery1.com/pythonlist/
Python Lists Methods Part 28:16
Agenda:
* 5 List Methods
* String Split to create a list
* List Comprehensions

Reference URL: https://aiforevery1.com/pythonlist/
Python List Methods

Python Tuples8:24
Agenda:
* What is Tuples?
* How to create Tuples?
* List Indexing and Slicing
* How to update the Tuples?
* How to delete the Tuples?
* Traversing Tuples using For loop

Reference URL: https://aiforevery1.com/pythontuples/
Python Tuple Methods9:35
Agenda:
* 10 Tuples Methods
* How to convert other Data type to Tuples?
* Advantages of Tuples over Lists

Reference URL: https://aiforevery1.com/pythontuples/
Tuples
Python Dictionary8:37
Agenda:
* What is Dictionary ?
* How to create Dictionary?
* How to access elements from a Dictionary?
* How to access elements using Get Method?
* How to add elements in a Dictionary?
* How to update elements in a Dictionary?

Reference URL: https://aiforevery1.com/pythondictionary/
Python Dictionary Deleting and Looping9:49
Agenda:
* How to delete elements in a Dictionary?
* Looping items in the Dictionary
* Dictionary Methods
- len
- Membership Operator
- Sorted

Reference URL: https://aiforevery1.com/pythondictionary/
Python Dictionary Methods11:18
Agenda:
* Dictionary Methods
- keys() , values() , items()
- copy() , update(), fromkeys()
- setdefault() , dir()
* Dictionary Comprehension

Reference URL: https://aiforevery1.com/pythondictionary/
Python Dictionary

Creation and Execution of Functions8:32
Agenda:
* 5W and 1H Approach
* What is Python Functions?
* Syntax of Function
* Rules for Creating Functions
* How to call a Function ?
* Doc String

Reference URL: https://aiforevery1.com/pythonfunctions/
Python Functions with Return Value5:23
Agenda:
* Function with return value
* Scope and Life Time of Variables

Reference URL: https://aiforevery1.com/pythonfunctions/
Python Function Arguments10:33
Agenda:
* What is Function Arguments ?
* Importance of Function Arguments
* Types of Arguments
* Default Arguments
* Keyword Arguments
* Arbitrary Arguments

Reference URL: https://aiforevery1.com/functionarguments/
Python Function
Python Recursive Function6:40
Agenda:
1. Warm up programs
2. What is Recursive Function?
3. Factorial of a number logic
4. Code implementation of Factorial of a number
5. Execution flow of factorial program
6. Advantages and Disadvantages of Recursive Function
Reference : https://aiforevery1.com/recursionfunction/

Requirements

Passion to learn alone is enough to start this course
A Laptop/Computer- Windows, Mac, and Linux are all supported. Setup and installation instructions are included in the video course
Access to the internet. Of course all the videos are downloadable . You can study in offline mode also.
Recommended : Laptop/Computer the best way to learn this course. Because after completing each topic , practicing it simultaneously in Jupyter notebook makes you to remember each topic easily

Description

This course specifically created for A.I Aspirants ( Data Science/Deep Learning/Machine Learning students). It covers all the PYTHON BASICS topics. But still this course can also be learnt by other fields aspirants like Automation, Chatbots, WebDevelopers etc. Because for all the fields this course will create basic knowledge and with this you can self learn python library easily.

Note: Very soon Python Libraries such as NumPy, Pandas and Matplotlib courses will be launched. But for all these advanced course , this "Python For Data Science" course will be the basement for it.

" 9 main reasons to Learn Python !!! "

1. Python’s popularity

When compared to all other programming language, python is extremely simple, easy to learn, interpret and implement. Due to this reason it became very popular and trending programming right now.

2. High salary

The job demand for python programmers are high. Python engineers have some of the highest salaries in the industry.

The average Python developer salary in the US is $110,021 and $123,743 per year according to the survey conducted by Gooroo and Indeed respectively

3. Python is used in Data Science

There are plenty of Python scientific packages for data visualization, machine learning, natural language processing, complex data analysis and more. All of these factors make Python a great tool for scientific computing and a solid alternative for commercial packages such as MatLab. The most popular libraries and tools for data science are Pandas, matplotlib, NumPy, scikit-learn, Mlpy, NetworkX, Theano, SymPy and TensorFlow

4. Python is used in Automation

IT industries are now moving towards Artificial Intelligence in Automation. So Python with Robot framework combination is the best alternative for Selenium Webdriver with Java as it is easier road map with no programming background.

5. Python used with Big Data

Pydoop is a Python interface to Hadoop that allows you to write a MapReduce program in Python and process data present in the HDFS cluster.

Its features such as a rich HDFS API; a MapReduce API that allows to write pure Python record readers / writers, partitioners and combiners, transparent Avro (de)serialization, and easy installation-free usage.

6. Chat Bots

A chat bot is an artificial intelligence-powered piece of software in a device (Siri, Alexa, Google Assistant etc), application, website or other networks that try to gauge consumer’s needs and then assist them to perform a particular task like a commercial transaction, hotel booking, form submission etc.

NLTK(Natural Language Toolkit) library is a leading platform for building Python programs to work with human language data.

7. Python in Web Development

Python has a wide range of frameworks for developing websites. The most popular frameworks are Django, Flask, Web2Py, Turbo Gears, etc. These frameworks are written in Python, so it’s easier to implement and use it for web development.

8. Computer Graphics in Python

Python is largely used to build GUI and desktop applications. The Python Computer Graphics Kit is a generic 3D package that can be useful in any domain where you have to deal with 3D data of any kind, be it for visualization, creating photorealistic images, Virtual Reality or even games

9. Game Developer

Python libraries such as PyGame, Pyglet , PyOpenGL etc. are used to develop 2D, 3D games with easy coding. Learning any one of these package can able to create rapid game prototyping or for beginners learning how to make simple games.

Who this course is for:

Data Science / Artificial Intelligence/ Machine Learning / Deep Learning Aspirants
Chat Bots Developer
Automation Testers
Big Data Aspirants
Web Development Aspirants
Game Developers
People interested in programming who have no prior programming experience
Anyone who wants to learn BASIC PYTHON
Existing programmers who want to improve their career options by learning the Python programming language
Students taking a Python class in school who want a supplementary learning source
Note 1 : SPECIFICALLY CREATED FOR DATA SCIENCE / AI / ML / DL ASPIRANTS AND COVERS BASICS PYTHON ONLY
Note 2: This course is NOT for experienced Python programmers
Note 3: All the videos are explained in Indian English Slang. In case if you think, its tough to understand my pronunciation and also for Non-English speaking students, I enabled the Auto Caption now. But still the text won’t 100% accurate.
Note 4: Based on students interest and request , I will be adding few more python topics to this course

Python For Beginners

What you'll learn

Explore related topics

Course content

Python Introduction5 lectures • 39min

Python Operators4 lectures • 31min

Python Flow Control5 lectures • 33min

Python Data Types String and List6 lectures • 53min

Python Data Types Tuples and Dictionary5 lectures • 48min

Python Functions4 lectures • 31min

Requirements

Description

Who this course is for: