Python Tutorial

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About Course

Python Tutorial for Beginners will help you learn Python programming language and its core concepts with examples from scratch.

Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python Tutorial 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 commercial products, because of its OSI-approved open source license. Python Tutorial has evolved as the most preferred Language for Data Analytics. The increasing search trends on python also indicate that Python is the next “Big Thing” and a must for Professionals in the Data Analytics domain.

This Python tutorial video helps you to learn the following concepts:

Introduction

What is Python?

Why is Python popular?

Features of Python

Where is Python used in the industry?

Learning Path

Career Opportunities

How Netflix uses Python?

How does it use Python?

Python Developer Salary

Who is Python Developer?

Python Developer Job Trends

How to become a Python Developer?

Who is a Python developer?

Job Roles

Emerging Job Roles

Road Map

Python Installation

How to run a Python program?

Best IDE for Python

What is an IDE?

Features of an IDE

Best IDEs of Python

 PyCharm Tutorial

Introduction to PyCharm

Features of PyCharm

Comments in Python

What are Comments?

When to use Python?

How to write comments in Python?

Types of Comments

Docstring Comments

Variables & Data Types

Variable definition & Declaration

Data Types

 Numbers

String

List

Dictionary

Tuple

Set

Type Conversion

Python Collections

Specialized Collections Data Types

Arrays

 What is an Array?

How to create Arrays in Python?

Accessing Array Elements

Basic Array Operations

Adding elements to an Array

Removing Elements of an Array

 Slicing an Array

 Looping through an Array

Hash Table and HashMap

Creating Dictionaries

Nested dictionaries

Performing Operations on Hash Table

Operators in Python

Loops in Python

Why use Python Tutorial?

What are the Loops?

Loops in Python Tutorial

While Loop

For Loop

Nested Loop

Patterns in Python Tutorial

File Handling

Why need File Handling

Types of Files

What is File Handling?

Python File Handling System

File Operations for Reading

Python File Write Method

Decorator

Functions in Python

Decorators in Python

Lambda

How to write Anonymous functions?

Map-Reduce Functions

Introduction to map(), filter(), reduce()

What are the Generators?

Normal functions vs. Generators

 Writing Generators in Python

Generators with Loops

Generator Expressions

Use-Cases

OOPS Concepts

Classes & Objects

Inheritance in Python

Types of Inheritance

Python Super Function

Exception Handling

Try & Except block

Python Module

How to create a Module?

Python Modules Search Path

Date & Time

time module

Numpy

What is Numpy?

Numpy vs. List

Numpy Operations

Numpy Special Functions

SciPy

What is Python SciPy?

Basic Functions

Special Functions

Integration Functions

Linear Algebra

Interpolation Functions

Pandas

Data life-cycle

What is Pandas?

Pandas Operations

Example

Python for Statistics

Pydoop

Data Visualization

Matplotlib

Types of Plots

Multiple Plots

Seaborn

Introduction to Seaborn

Seaborn vs. Matplotlib

How to install Seaborn?

Installing Dependencies

 Python Seaborn Functions

Multi-Plot Grids

Plot Aesthetics

OpenCV Tutorial

What is Computer Vision?

How the computer reads an Image?

What is OpenCV?

Basic operations with OpenCV

Face Detection

Face Detection using OpenCV

Capturing Video

Use-case – Motion Detector

Web Development Framework

What are the Frameworks in Python?

Python Web Development

Python Web Development Libraries

Python & Django

Web Scraping

Packages used for web Scraping

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What Will You Learn?

  • Python 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

Course Content

Python Tutorial For Beginners

  • Python Tutorial for Beginners
    00:00
  • Python If Else
    00:00
  • While Loop In Python
    00:00
  • Top 10 Reasons to Learn Python
    00:00
  • Python Developer Salary
    00:00
  • How To Become A Python Developer?
    00:00
  • 5 Simple Steps To Install Python On Windows
    00:00
  • Python In 2020
    00:00
  • Python Programs
    00:00
  • Python Pattern Programs
    00:00
  • Variables & Data Types In Python
    00:00
  • Python Developer Skills
    00:00
  • Python OOPS Concepts
    00:00
  • Operators In Python
    00:00
  • Python Comments
    00:00
  • Arrays In Python
    00:00
  • Data Structures and Algorithms in Python
    00:00
  • Python Lists
    00:00
  • How To Install Python Pip?
    00:00
  • Sets In Python
    00:00
  • Dictionary In Python
    00:00
  • Python Loops Tutorial
    00:00
  • Python Functions Tutorial
    00:00
  • Python File Handling
    00:00
  • Python Lambda Function
    00:00
  • Map, Filter, Reduce Functions in Python
    00:00
  • Exception Handling In Python
    00:00
  • Requests in Python
    00:00
  • Python Examples
    00:00
  • Python RegEx
    00:00
  • Python Web Development
    00:00
  • Socket Programming in Python
    00:00
  • Python Seaborn Tutorial
    00:00
  • Advanced Python Tutorial
    00:00
  • Jupyter Notebook Tutorial
    00:00
  • Python XML Parser Tutorial
    00:00
  • Python For Data Analysis
    00:00
  • Python 3 Tutorial
    00:00
  • Inheritance In Python
    00:00
  • Python Anaconda Tutorial
    00:00
  • Introduction to Least Squares Regression Method Using Python
    00:00
  • Python Database Connection
    00:00
  • Date and Time in Python
    00:00
  • Python Collections: Lists, Tuples, Sets & Dictionaries
    00:00
  • R vs Python
    00:00
  • Learn Python Programming
    00:00
  • Go vs Python Comparison
    00:00
  • Q Learning Explained
    00:00
  • Best Python IDEs
    00:00
  • PyCharm Tutorial For Beginners
    00:00
  • Python Class
    00:00
  • Python Certification
    00:00
  • Python NumPy Tutorial
    00:00
  • Python Matplotlib Tutorial
    00:00
  • Scikit Learn Tutorial
    00:00
  • How To Make a Chatbot in Python
    00:00
  • Top 10 Python Libraries
    00:00
  • Statistics Using Python
    00:00
  • Python Frameworks
    00:00
  • Linear Regression Algorithm
    00:00
  • K Means Clustering Algorithm
    00:00
  • Logistic Regression in Python
    00:00
  • Time Series Analysis in Python
    00:00
  • Decision Tree Algorithm
    00:00
  • KNN Algorithm using Python
    00:00
  • Naive Bayes Classifier in Python
    00:00
  • How To Install OpenCV On Windows?
    00:00
  • Machine Learning With Python
    00:00
  • Best Python Libraries For Data Science & Machine Learning
    00:00
  • OpenCV Python Tutorial
    00:00
  • PyGame Tutorial
    00:00
  • Python Flask Tutorial For Beginners
    00:00
  • Tkinter Python Tutorial
    00:00
  • Python for Data Science
    00:00
  • Python Selenium
    00:00
  • Python Django Tutorial
    00:00
  • Python Scripting Tutorial for Beginners
    00:00
  • Python Use Cases
    00:00
  • Introduction to Python Pandas
    00:00
  • Web Scraping in Python using Beautiful Soup
    00:00
  • Web Scrapping With Python
    00:00
  • Big Data Analytics in Python
    00:00
  • Demo on Zombie Invasion Modelling
    00:00
  • Demo on Python for Finance
    00:00
  • Introduction To Markov Chains
    00:00
  • Python Decorator Tutorial
    00:00
  • Range Function In Python
    00:00
  • Principal Component Analysis in Python
    00:00
  • Top 50 Django Interview Questions and Answers
    00:00
  • Top 10 Books To Learn Python
    00:00
  • Visual Studio Code For Python Development
    00:00
  • Robot Framework Tutorial
    00:00
  • Data Structures In Python
    00:00
  • What’s New In Python 3.8?
    00:00
  • Python Readline
    00:00
  • PyTest Tutorial
    00:00
  • What’s New in Pandas 1.0.0
    00:00
  • Python Iterators
    00:00
  • Python Pandas Tutorial
    00:00
  • Data Extraction Using Python
    00:00
  • Python Email Tutorial
    00:00
  • Exploratory Data Analysis (EDA) Using Python
    00:00
  • Python Strings Tutorial
    00:00
  • Predictive Analysis Using Python
    00:00
  • Python CGI Programming Tutorial
    00:00
  • Python Learning Path for Beginners
    00:00

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