Mark Lutz - Python Crash Course For Beginners Master Data Analysis Data Science Machine Learning.

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- PYTHON CRASH COURSE FOR BEGINNERS-

Learn Coding Programs with Python Programming and Master Data Analysis & Analytics, Data Science and Machine Learning with the Complete Python for Beginners Crash Course

By

Mark Lutz

Consolidated Table of Contents

- PYTHON PROGRAMMING -

Table of Contents

Chapter 1: Intro to Python

What is Python?

Features of Python

Huge set of libraries

What type of application I can create using Python?

Who uses Python?

Chapter 2: Installing Python

Choosing a Python Version

General installations instruction

Installation on Windows

Installation on Linux (Ubuntu)

Installation on Mac OS

Running Programs

Interactive Interpreter or Interactive Mode via Shell

Script from Command Line

Python IDE (Integrated Development Environment)

Chapter 3: IDLE and Python Shell

Installing the Interpreter

Python IDLE

Using the Python Shell, IDLE and Writing our FIRST program

Python Interactive Mode

Python Script Mode

How to Write a Python Program and Run it in IDLE

Other Python Interactive Developer Environment (IDE)

The Eclipse Python Plugin

Types of Errors

Chapter 4: Data Types and Variables in Python

Strings

Numeric Data type

Booleans in Python

List Python

Variables

User-Input Values

Chapter 5: Numbers in Python

Abs Function

Ceil Function

Max Function

Min Function

Pow Function

Sqrt Function

Random Function

Randrange Function

Sin Function

Cos Function

Tan Function

Chapter 6: Operators in Python

Arithmetic Operators

Comparison Operators

Logical Operators

Chapter 7: Strings Methods in Python

Chapter 8: Program Flow control and If-else, elif Statements in Python

If ... else Flow Control Statements

Incidental using the If Statement

if...elif...else Flow Control Statement in Python

Nested if Statements in Python

Absolutes

Chapter 9: Loops in Python

for Loop in Python

Using for loop with else

While Loop in Python

Using While loop with else

Pythons break and continue

Continue statement in Python

Chapter 10: Lists in Python

A Look into What Lists Are

2-D Lists

List Methods

Tuples

Unpacking

Python Dictionaries

Chapter 11: Deep Dive on Python Tuples

Tuple in Python

Negative Indexing

Slicing

Inbuilt Python Functions with Tuple

Escape Sequences in Python

Chapter 12: Sets in Python

Sets

Modules for Algorithms and Data Structures

Chapter 13: Functions in Python

How to define and call function?

Understanding Functions Better

Return Statement

Multiple Parameters

Lambada function

Global variables

Local variables

Chapter 14: Modules in Python

What are the Modules?

How to Create a Module?

Locate a Module

Import Statement

Module example One

Module example Two

Chapter 15: Files Handling in Python

Creating new files

What are the binary files?

Opening your file up

Chapter 16: Exception Handling in Python

Raising an Exception

Can I define my own exceptions?

Chapter 17: Objects and Classes in Python

Defining a Class

Creating a new class

Creating an Object

Constructors

Deleting Attributes and Objects

Chapter 18: Inheritance and Polymorphism

Creating a Class in Python

Class Attributes

Class Data Attributes

Python Class Inheritance

Why is Inheritance Useful in Python Programming?

Inheritance Example

Class Polymorphism and Abstraction

Abstraction

Encapsulation

Conclusion

- PYTHON FOR DATA ANALYSIS & ANALYTICS -

Table of Contents

Introduction

Chapter 1: Data Analysis the Basics

What is Data Analysis?

Why Data Analysis?

Data Analysis Tools

Types of Data Analysis: Techniques and Methods

Text Analysis

Statistical Analysis

Descriptive Analysis

Diagnostic Analysis

Predictive Analysis

Prescriptive Analysis

Data Analysis Process

1- Data Requirement Gathering

2- Data Collection

3- Data Cleaning

4- Data Analysis

5- Data Interpretation

6- Data Visualization

Chapter 2: Applications of Data Analysis and Analytics

eCommerce

Predictive Analysis

Smart searches

Recommendation Engines

Product Categorization and Pricing

Customer Targeting and Segmentation

Sales and Marketing Forecast

Programmatic Advertisement Targeting

Visual Search and Image Recognition

Healthcare Industry

Entertainment Industry

Marketing and Advertising

Security

Transportation

Risk and Fraud Detection

Logistics of Deliveries

Customer Interactions

Healthcare

Travel

Digital Advertising

Chapter 3: Setting Up the Environment

Installation Instructions for Python

Getting Started

Python Variables

Assigning Value to Variables

Assigning the Data Type to Variables

Output Variables

Chapter 4: Python Data Structures Essentials

Python Data Structures Lists, Tuples, Sets, Dictionaries

Python List

How to Declare Python List?

How to Access Python List?

Slicing

How to Delete a Python List?

Python Tuple

Accessing, Reassigning, and Deleting Items

Python Set

Python Dictionaries

Chapter 5: IPython/Jupyter Notebook - Interactive Computational Environment

Getting started with Jupyter Notebook (IPython)

Create a new Notebook

Useful Commands

Running your First code in Jupyter

Jupyter Notebook Tips and Tricks

%%timeit and %%time

Commenting/Uncommenting a block of code

Chapter 6: NumPy - Scientific Computing and Numerical Data Processing

What is A Python NumPy Array?

How to Install NumPy

How to Make NumPy Arrays

How NumPy Broadcasting Works

How to Slice, And Index Arrays

Chapter 7: Matplotlib Data Visualization

What is the Matplotlib library

Import Matplotlib

Simple Graph

Complex Graphs

Scatter charts

Chapter 8: Other Data Visualizatino Libraries

Seaborn

ggplot

Bokeh

pygal

Plotly

geoplotlib

Glimmer

missingno

Calfskin

Chapter 9: Pandas - Data Manipulation and Analysis

Wht's Pnds fr?

Hw ds pnds ft nt th dt sn tlkt?

Whn shuld u strt usng pnds?

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