Tuesday, April 11, 2023

Python Books (Apr 2023)

Download Books
1.
Fluent Python
Luciano Ramalho, 2015

2.
Automate the Boring Stuff with Python: Practical Programming for Total Beginners
Al Al Sweigart, 2015

3.
Head First Python
2010

4.
Python Cookbook: Recipes for Mastering Python 3
Brian K. Jones, 2011

5.
Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code
Zed Shaw, 2013

6.
Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming
Eric Matthes, 2019

7.
Learning Python
Mark Lutz, 2002

8.
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
Eric Matthes, 2015

9.
Think Python: An Introduction to Software Design
Allen B. Downey, 2002

10.
Python Tricks: A Buffet of Awesome Python Features
Dan Bader, 2017

11.
Learning Python
Mark Lutz, 1999

12.
Python for Data Analysis
Wes McKinney, 2011

13.
Programming Python
Mark Lutz, 1996

14.
Python for Everybody: Exploring Data Using Python 3
Charles Severance, 2016

15.
Learning Python: Powerful Object-Oriented Programming
Mark Lutz, 2000

16.
Introduction to Machine Learning with Python: A Guide for Data Scientists
Sarah Guido, 2016

17.
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Eric Matthes, 2023

18.
Python Programming: An Introduction to Computer Science
John M. Zelle, 2003

19.
Machine Learning in Python: Essential Techniques for Predictive Analysis
2015

20.
Learn Python in One Day and Learn it Well: Python for Beginners with Hands-on Project
Jamie Chan, 2015

21.
Elements of Programming Interviews in Python: The Insiders' Guide
Tsung-Hsien Lee, 2018


22.
Python Data Science Handbook
Jacob T. Vanderplas, 2016

23.
Deep Learning with Python
François Chollet, 2017


24.
Effective Python: 90 Specific Ways to Write Better Python
Brett Slatkin, 2019

25.
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Geron Aurelien, 2017

26.
Python Pocket Reference, 4/E (Covers Python 3 X & 2.6)
Mark Lutz, 2014

27.
Invent Your Own Computer Games with Python, 4th Edition
Al Al Sweigart, 2016

28.
Effective Python: 59 Specific Ways to Write Better Python
Brett Slatkin, 2015

29.
Python for Kids: A Playful Introduction To Programming
Jason R. Briggs, 2012

30.
Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People
Aditya Bhargava, 2015

31.
Python Programming for the Absolute Beginner
Dawson, 2003

32.
Python 3 Object Oriented Programming
Dusty Phillips, 2010


33.
The Python Bible 7 in 1: Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)
Florian Dedov, 2020

34.
Impractical Python: Projects Playful Programming Activities to Make You Smarter
Lee Vaughan, 2018

35.
Python in a nutshell
Alex Martelli, 2003

36.
Python Cookbook
Alex Martelli, 2002

37.
Coding for Kids: Python: Learn to Code with 50 Awesome Games and Activities
Adrienne B. Tacke, 2019

38.
Natural Language Processing with Python
Steven Bird, 2009

39.
Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code
Al Al Sweigart, 2020


40.
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Andrew Bruce, 2017

41.
Black Hat Python, 2nd Edition: Python Programming for Hackers and Pentesters
Justin Seitz, 2021


42.
Django for Beginners: Build websites with Python and Django
William Vincent, 2018

43.
The Big Book of Small Python Projects: 81 Easy Practice Programs
Al Al Sweigart, 2021

44.
Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More
Julien Danjou, 2018

45.
Data Structure and Algorithmic Thinking with Python
Narasimha Karumanchi, 2015

46.
Python All-in-One For Dummies
Alan Simpson, 2019


47.
Let Us Python
Yashavant Kanetkar, 2019

48.
Python Programming For Beginners: Learn The Basics Of Python Programming (Python Crash Course, Programming for Dummies)
James Tudor, 2019

49.
Python Distilled
David M. Beazley, 2021

50.
Python for Beginners: A Crash Course Guide to Learn Python in 1 Week
Timothy C. Needham, 2017

51.
Cracking Codes with Python: An Introduction to Building and Breaking Ciphers
Al Al Sweigart, 2018

52.
Python for Everybody : Exploring Data in Python 3
Charles Russell Severance, Sue Blumenberg
CreateSpace Independent (2016)
Tags: Technology,List of Books,Python,

Sunday, April 9, 2023

Lesson 2 - Some more examples of Sets (and a Venn Diagram for each)

set1 - set2 Intersection set2 - set1
Set1 Size:
Diff Size:
Intersection Size: Set2 Size:
Diff Size:


Introduction to Sets (Also an exercise in Data Visualization)

What are sets?

Definition 1 (from NCERT) A set is a well-defined collection of objects. The following points may be noted : (i) Objects, elements and members of a set are synonymous terms. (ii) Sets are usually denoted by capital letters A, B, C, X, Y, Z, etc. (iii) The elements of a set are represented by small letters a, b, c, x, y, z, etc. Some examples of sets: (i) Odd natural numbers less than 10, i.e., 1, 3, 5, 7, 9 (ii) The rivers of India (iii) The vowels in the English alphabet, namely, a, e, i, o, u (iv) Various kinds of triangles (v) Prime factors of 210, namely, 2,3,5 and 7 (vi) The solution of the equation: x2 – 5x + 6 = 0, viz, 2 and 3. We give below a few more examples of sets used particularly in mathematics, viz. N : the set of all natural numbers Z : the set of all integers Q : the set of all rational numbers R : the set of real numbers Z+ : the set of positive integers Q + : the set of positive rational numbers, and R + : the set of positive real numbers. Definition 2 Sets: grouping of elements and each element in the group is unique.

Two basic types of sets: Overlapping sets and Non-overlapping sets.

Overlapping Sets

If there is one or more element present in both sets, the sets are called to be overlapping.

Example of Overlapping Sets

Set1: First six natural numbers.
Set2: First three natural numbers and first three alphabets.
Now two sets together in a Venn Diagram.
set1 - set2 Intersection set2 - set1
Set1 Size:
Diff Size:
Intersection Size: Set2 Size:
Diff Size:

Example of Non-Overlapping Sets

Non-overlapping sets are better known as Disjoint Sets.

Set1: First six natural numbers.
Set2: First six alphabets.
Now two sets together in a Venn Diagram.
set1 - set2 Intersection set2 - set1
Set1 Size:
Diff Size:
Intersection Size: Set2 Size:
Diff Size:

Nomenclature for sets that are 'Overlapping'

Subset and Superset Relation

If each element of set A is in set B, and also we have some extra elements present in set B which are not in set A: Then, we call set A a subset and set B a superset. A superset has more number of elements than a subset. Set1: Letters from the word 'Rhythm'.
Set2: English Consonants.
Now two sets together in a Venn Diagram.
set1 - set2 Intersection set2 - set1
Set1 Size:
Diff Size:
Intersection Size: Set2 Size:
Diff Size:

Equal Sets

If superset and subset have same number of elements, such that the two sets are fully overlapping each other then we call them 'Equal Sets'.
Tags: Mathematical Foundations for Data Science,JavaScript,Technology,

Thursday, April 6, 2023

Twitter takes its algorithm ‘open-source,’ as Elon Musk promised (Apr 2023)

Twitter has released the code that chooses which tweets show up on your timeline to GitHub and has put out a blog post explaining the decision. It breaks down what the algorithm looks at when determining which tweets to feature in the For You timeline and how it ranks and filters them.

According to Twitter’s blog post, “the recommendation pipeline is made up of three main stages.” First, it gathers “the best Tweets from different recommendation sources,” then it ranks those tweets with “a machine learning model.” Lastly, it filters out tweets from people you’ve blocked, tweets you’ve already seen, or tweets that are not safe for work, before putting them on your timeline.

The post also further explains each step of the process. For example, it notes that the first step looks at around 1,500 tweets and that the goal is to make the For You timeline around 50 percent tweets from people that you follow (who are called “In-Network”) and 50 percent tweets from “out-of-network” accounts that you don’t follow. It also says that the ranking is meant to “optimize for positive engagement (e.g., Likes, Retweets, and Replies)” and that the final step will try to make sure that you’re not seeing too many tweets from the same person.


Of course, the most detail will be available by picking through the code, which researchers are already doing.

CEO Elon Musk has been promising the move for a while — on March 24th, 2022, before he owned the site, he polled his followers about whether Twitter’s algorithm should be open source, and around 83 percent of the responses said “yes.” In February, he promised it would happen within a week before pushing back the deadline to March 31st earlier this month.

Musk tweeted that Friday’s release was “most of the recommendation algorithm” and said that the rest would be released in the future. He also said that the hope is “that independent third parties should be able to determine, with reasonable accuracy, what will probably be shown to users.” In a Space discussing the algorithm’s release, he said the plan was to make it “the least gameable system on the internet” and to make it as robust as Linux, perhaps the most famous and successful open-source project. “The overall goal is to maximize on unregretted user minutes,” he added.

Musk has been preparing his audience to be disappointed in the algorithm when they see it (which is, of course, making a big assumption that people will actually understand the complex code). He’s said it’s “overly complex & not fully understood internally” and that people will “discover many silly things” but has promised to fix issues as they’re discovered. “Providing code transparency will be incredibly embarrassing at first, but it should lead to rapid improvement in recommendation quality,” he tweeted.

There is a difference between code transparency, where users will be able to see the mechanisms that choose tweets for their timelines, and code being open source, where the community can actually submit its own code for consideration and use the algorithm in other projects. While Musk has said it’ll be open source, Twitter will have to actually do the work if it wants to earn that label. That involves figuring out systems for governance that decide what pull requests to approve, what user-raised issues deserve attention, and how to stop bad actors from trying to sabotage the code for their own purposes.

Twitter says people can submit pull requests that may eventually end up in its codebase.

The company does say it’s working on this. The readme for the GitHub says, “We invite the community to submit GitHub issues and pull requests for suggestions on improving the recommendation algorithm.” It does, however, go on to say that Twitter’s still in the process of building “tools to manage these suggestions and sync changes to our internal repository.” But Musk’s Twitter has promised to do many things (like polling users before making major decisions) that it hasn’t stuck with, so the proof will be in whether it actually accepts any community code.

The decision to increase transparency around its recommendations isn’t happening in a bubble. Musk has been openly critical of how Twitter’s previous management handled moderation and recommendation and orchestrated a barrage of stories that he claimed would expose the platform’s “free speech suppression.” (Mostly, it just served to show how normal content moderation works.)

But now that he’s in charge, he’s faced a lot of backlash as well — from users annoyed about their For You pages shoving his tweets in their faces to his conservative boosters growing increasingly concerned about how little engagement they’re getting. He’s argued that negative and hate content is being “max deboosted” in the site’s new recommendation algorithms, a claim outside analysts without access to the code have disputed.

Twitter is also potentially facing some competition from the open-source community. Mastodon, a decentralized social network, has been gaining traction in some circles, and Twitter co-founder Jack Dorsey is backing another similar project called Bluesky, which is built on top of an open-source protocol.
Tags: Technology,Management,Investment,FOSS

Tuesday, April 4, 2023

Brief Intro to Functions in JavaScript (Lesson 3)

Learning JavaScript as a Second Language

Functions in JavaScript

Four Parts of a Function

Function objects are created with function literals: // Create a variable called add and store a function in it that adds two numbers. var add = function (a, b) { return a + b; }; A function literal has four parts. The first part is the reserved word function. The optional second part is the function’s name. The function can use its name to call itself recursively. The name can also be used by debuggers and development tools to identify the function. If a function is not given a name, as shown in the previous example, it is said to be anonymous. The third part is the set of parameters of the function, wrapped in parentheses. Within the parentheses is a set of zero or more parameter names, separated by commas. These names will be defined as variables in the function. Unlike ordinary variables, instead of being initialized to undefined, they will be initialized to the arguments supplied when the function is invoked. The fourth part is a set of statements wrapped in curly braces. These statements are the body of the function. They are executed when the function is invoked.

Invocation

Invoking a function suspends the execution of the current function, passing control and parameters to the new function. In addition to the declared parameters, every function receives two additional parameters: this and arguments. The this parameter is very important in object oriented programming, and its value is determined by the invocation pattern. There are four patterns of invocation in JavaScript: 1. the method invocation pattern, 2. the function invocation pattern, 3. the constructor invocation pattern, and 4. the apply invocation pattern. The patterns differ in how the bonus parameter “this” is initialized. The invocation operator is a pair of parentheses that follow any expression that produces a function value. The parentheses can contain zero or more expressions, separated by commas. Each expression produces one argument value. Each of the argument values will be assigned to the function’s parameter names. There is no runtime error when the number of arguments and the number of parameters do not match. If there are too many argument values, the extra argument values will be ignored. If there are too few argument values, the undefined value will be substituted for the missing values. There is no type checking on the argument values: any type of value can be passed to any parameter.

Out of these four patterns, "Method Invocation Pattern" and "Constructor Invocation Pattern" are important in understanding and working with KnockoutJS.

The Method Invocation Pattern

When a function is stored as a property of an object, we call it a method. When a method is invoked, “this” variable is bound to that object. If an invocation expression contains a refinement (that is, a . dot expression or [subscript] expression), it is invoked as a method: // Create myObject. It has a value and an increment method. The increment method takes an optional parameter. If the argument is not a number, then 1 is used as the default. var myObject = { value: 0, increment: function (inc) { this.value += typeof inc === 'number' ? inc : 1; } }; myObject.increment( ); document.writeln(myObject.value); // 1 myObject.increment(2); document.writeln(myObject.value); // 3 A method can use this to access the object so that it can retrieve values from the object or modify the object. The binding of this to the object happens at invocation time. This very late binding makes functions that use this highly reusable. Methods that get their object context from this are called public methods.

The Constructor Invocation Pattern

JavaScript is a prototypal inheritance language. That means that objects can inherit properties directly from other objects. The language is class-free. This is a radical departure from the current fashion. Most languages today are classical. Prototypal inheritance is powerfully expressive, but is not widely understood. JavaScript itself is not confident in its prototypal nature, so it offers an object-making syntax that is reminiscent of the classical languages. Few classical programmers found prototypal inheritance to be acceptable, and classically inspired syntax obscures the language’s true prototypal nature. It is the worst of both worlds. If a function is invoked with the new prefix, then a new object will be created with a hidden link to the value of the function’s prototype member, and this will be bound to that new object. The new prefix also changes the behavior of the return statement. Functions that are intended to be used with the new prefix are called constructors. By convention, they are kept in variables with a capitalized name. If a constructor is called without the new prefix, very bad things can happen without a compile-time or runtime warning, so the capitalization convention is really important. Use of this style of constructor functions is not recommended. // Create a constructor function called Quo. It makes an object with a status property. var Quo = function (string) { this.status = string; }; // Give all instances of Quo (called a Class in classical programming like C++) a public method called get_status. Quo.prototype.get_status = function ( ) { return this.status; }; // Make an instance of Quo. var myQuo = new Quo("confused");

Return Statement

When a function is invoked, it begins execution with the first statement, and ends when it hits the } that closes the function body. That causes the function to return control to the part of the program that invoked the function. The return statement can be used to cause the function to return early. When return is executed, the function returns immediately without executing the remaining statements. A function always returns a value. If the return value is not specified, then undefined is returned. If the function was invoked with the new prefix and the return value is not an object, then this (the new object) is returned instead.

Exception Handling

JavaScript provides an exception handling mechanism. Exceptions are unusual (but not completely unexpected) mishaps that interfere with the normal flow of a program. When such a mishap is detected, your program should throw an exception: The throw statement interrupts execution of the function. It should be given an exception object containing a name property that identifies the type of the exception, and a descriptive message property. You can also add other properties. The exception object will be delivered to the catch clause of a try statement: If an exception is thrown within a try block, control will go to its catch clause. A try statement has a single catch block that will catch all exceptions. If your handling depends on the type of the exception, then the exception handler will have to inspect the name to determine the type of the exception.

Recursion

A recursive function is a function that calls itself, either directly or indirectly. Recursion is a powerful programming technique in which a problem is divided into a set of similar subproblems, each solved with a trivial solution. Generally, a recursive function calls itself to solve its subproblems. Example: Factorial Problem (n!)
Tags: Technology,JavaScript,

Monday, April 3, 2023

Lesson 2 (Data Types in JavaScript)

Learning JavaScript as a Second Language

Number

Declaring Integer type variable in JavaScript :-

var x = 23;

let x = 20;

Declaring Floating point value in JavaScript :-

var x = 5.78945146;

console.log(x.toFixed(2));

Output: "5.78"

5.789.toFixed(2) would return a value of String type.

JavaScript has a single number type. Internally, it is represented as 64-bit floating point, the same as Java’s double. Unlike most other programming languages, there is no separate integer type, so 1 and 1.0 are the same value. This is a significant convenience because problems of overflow in short integers are completely avoided, and all you need to know about a number is that it is a number. A large class of numeric type errors is avoided.

Ref: Douglas Crockford - JavaScript. The Good Parts (2008)

Comparing int and float in JavaScript

Comparing int and float in Python

Strings

Declaring String variable in JavaScript :-

// Using string template

var variable = “Gokul Krishna”

// Using String class

var variable = new String(“Gokul Krishna”);

String Concatenation

Ref: https://www.w3schools.com/jsref/jsref_obj_string.asp

Boolean in JavaScript

let x = true;

let y = false;

let result = x.toString();

console.log(result);

In Python:

Arrays in Code

var arr_num = [1, 2, 3, 0, -5, -2]

let arr_names = ['Dip', 'Gokul', 'Krishna', 'Ashish']

let arr_of_mixed_types = [1, 'Krishna', true]

/* To name a few operations that we can do on an array:

(1) Traversing or 'Iterating over the elements of an array' (2) Sort (3) Search (4) Insertion (5) Deletion (6) Reversing */

console.log(arr_num)

console.log(arr_num.sort()) // Changes the actual object. Return type: modified array.

console.log(arr_num.reverse()) // Changes the actual object.

// These operations sort() and reverse() change the actual object.

// The push() method adds new items to the end of an array.

arr_num.push(10)

console.log(arr_num)

console.log(arr_of_mixed_types)

Array Ref: https://www.w3schools.com/jsref/jsref_obj_array.asp

Note: String Methods had "match" and "search" for search while Array Methods has "find".

Tags: Technology,JavaScript,

Sunday, April 2, 2023

Learning JavaScript as a Second Language (Lesson 1)

JavaScript’s First Lesson

Questions

  • Are you familiar with Programming?
  • Which programming languages do you know?
  • As in: Java, C, C++, Python (or maybe JavaScript itself)
  • How much would you rate yourself in JavaScript out of 10?
  • How much would you rate yourself in Python out of 10?

  • Have you any of experience of coding in JavaScript?
  • VSCode is not an environment. It is an editor.
  • What was the environment you were coding in?
  • Like: Console, or Browser, Node.js

What is a Developer Console (or DevTools) in Browser?

A developer console (also known as DevTools or Developer Tools) in a browser is a built-in set of debugging and analysis tools that enable developers to inspect and debug web pages or web applications. It provides various features for developers to examine the structure and behavior of web pages, including:

Inspecting HTML and CSS: Developers can view the HTML and CSS code of a web page and make changes to them in real-time to see how they affect the appearance of the page.

Debugging JavaScript: Developers can set breakpoints in their JavaScript code and step through it to find and fix bugs.

Monitoring network activity: Developers can monitor network requests and responses to identify performance issues or errors.

Analyzing performance: Developers can measure the performance of a web page, including load times, resource usage, and memory consumption.

The developer console is a powerful tool that can help developers troubleshoot issues and optimize the performance of their web applications. It is built into most modern web browsers and can be accessed by pressing F12 or by right-clicking on a web page and selecting "Inspect" from the context menu.

Developer Tools in Chrome

Developer Tools in Firefox

Where to run the JavaScript code?

  • Where to run the JavaScript code?
  • In console
  • In browser
  • In Node.js environment

In Console

In Browser


In Node.js

  • Installing Node.js on Ubuntu
  • $ sudo apt install nodejs
  • $ sudo apt install npm

Data Types

  • What all data types are you aware of?
  • 1. String
  • 2. Number (in JavaScript all Integer, Float and Double fall under the type "number")
  • 3. Boolean
  • 4. Array (also called List in Python)
Homework for both Python and JavaScript
1. Declare a variable with the above mentioned data types.
2. Also process that variable in some way. (Or we can say: show some operation on it)

String

  • String Concatenation

Differences between var, let and const

Tags: Technology,JavaScript,

Friday, March 24, 2023

LinkedIn's HTML Assessment Dump (Apr 2023)

LinkedIn's HTML Assessment is a set of 15 questions. Here are some sample questions that you can practice before attempting the actual Assessment.

1:
2:
3:
4:
5.
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15:
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Tags: Web Development,Technology,

Sunday, March 19, 2023

Books on SEO (Mar 2023)

Download Books
1.
The Art of SEO: Mastering Search Engine Optimization
Eric Enge, 2015

2.
Search Engine Optimization For Dummies
Peter Kent, 2004

3.
SEO 2022: Learn Search Engine Optimization with Smart Internet Marketing Strategies
Adam Clarke

4.
SEO Like I'm 5: The Ultimate Beginner's Guide to Search Engine Optimization
Matthew Capala, 2014

5.
SEO for Growth: The Ultimate Guide for Marketers, Web Designers & Entrepreneurs
John Jantsch, 2016

6.
SEO 2021 Learn Search Engine Optimization With Smart Internet Marketing Strategies: Learn SEO with Smart Internet Marketing Strategies
Adam Clarke

7.
Product-Led SEO: The Why Behind Building Your Organic Growth Strategy
Eli Schwartz, 2021

8.
How to Get to the Top of Google: The Plain English Guide to SEO
Tim Kitchen, 2013

9.
Search Engine Optimization All-in-One for Dummies
Bruce Clay, 2009

10.
3 Months to No. 1: The "no-nonsense" SEO Playbook for Getting Your Website Found on Google
Will Coombe, 2017

11.
SEO Workbook: Search Engine Optimization Success in Seven Steps
Jason McDonald, 2020

12.
Ultimate Guide to Link Building: How to Build Website Authority, Increase Traffic and Search Ranking with Backlinks
Garrett French, 2013

13.
SEO 2017: Learn Search Engine Optimization with Smart Internet Marketing Strategies
Adam Clarke

14.
The SEO Blueprint: How to Get More Organic Traffic Right NOW
David Krevitt, 2020

15.
Local SEO Secrets: 20 Local SEO Strategies You Should be Using NOW
Roger Bryan, 2021

16.
The Art of SEO
Eric Enge, 2009

17.
Optimize: How to Attract and Engage More Customers by Integrating SEO, Social Media, and Content Marketing
Lee Odden, 2012

18.
Entity SEO: Moving from Strings to Things
Dixon Jones, 2021

19.
Keywords for SEO: Actionable Knowledge Bombs to Help you Rank on Google
Itamar Blauer, 2021

20.
Everybody Writes: Your Go-To Guide to Creating Ridiculously Good Content
Ann Handley, 2014

21.
SEO 2019 Learn Search Engine Optimization With Smart Internet Marketing Strategies: Learn SEO with Smart Internet Marketing Strategies
Adam Clarke

22.
SEO - The Sassy Way of Ranking #1 in Google - when You Have NO CLUE! Beginner's Guide to Search Engine Optimization and Internet Marketing
Gundi Gabrielle, 2017

23.
SEO for Small Business Part 1: SEO and Keyword Research
Joseph Stevenson, 2020

24.
Search Engine Optimization: An Hour a Day
Gradiva Couzin, 2006

25.
Link Building Mastery: How to Rank Higher, Grow Your SEO Traffic and Build Authority with Backlinks
Julian Goldie, 2021

26.
Get into Bed with Google
Jon Smith, 2008

27.
Search Engine Optimization (SEO) Secrets
Danny Dover, 2011

28.
Ecommerce SEO: An Advanced Guide to On-Page Search Engine Optimization for Ecommerce
Traian Neacsu, 2015

29.
Social Media Marketing Workbook: How to Use Social Media for Business
Jason McDonald, 2015

30.
The Beginner's Guide to SEO: How to Optimize Your Website, Rank Higher on Google and Drive More Traffic
Jessica Ainsworth, 2021

31.
The Best Damn Website & ECommerce Marketing Optimization Guide, Period!
Stoney deGeyter, 2021

32.
SEO Fitness Workbook: The Seven Steps to Search Engine Optimization Success on Google (Teacher's Edition)
Jason McDonald, 2015

33.
Social Media Marketing for Beginners 2023 The #1 Guide To Conquer The Social Media World, Make Money Online and Learn The Latest Tips On Facebook, You
Jonathan Page, 2020

34.
Digital Marketing For Dummies
Ryan Deiss, 2016

35.
Search Engine Optimization Bible
Jerri L. Ledford, 2008

36.
SEO Mastery: Learn Advanced Search Engine Optimization Marketing Secrets, For Optimal Growth! Best Beginners Guide About SEO For Keeping your Business Ahead in The Modern Age!
Graham Fisher, 2019

37.
Landing Page Optimization
Tim Ash, 2008

38.
Faster, Smarter, Louder: Master Attention in a Noisy Digital Market
Aaron Agius, 2019

39.
SEO Made Easy: Everything You Need to Know about SEO and Nothing More
Evan Bailyn, 2013

40.
Seo 2021: Actionable, Hands-on SEO, Including a Full Site Audit
Dr Andy Williams, 2021

41.
Seo Step-By-Step: The Complete Beginner's Guide to Getting Traffic from Google
Caimin Jones, 2014

42.
Seo Secrets 2019: The Ultimate Guide on How to Mastering Search Engine Optimization Fast!
Phillip Rusell, 2018

43.
Inbound Marketing and SEO: Insights from the Moz Blog
Rand Fishkin, 2013

44.
The Truth About Search Engine Optimization
Rebecca Lieb, 2009

45.
SEO 2020 Learn Search Engine Optimization With Smart Internet Marketing Strategies: Learn SEO with Smart Internet Marketing Strategies
Adam Clarke

46.
ProBlogger: Secrets for Blogging Your Way to a Six-Figure Income
Darren Rowse, 2008

47.
The SEO Way: Beginners Guide to Search Engine Optimization
Tarek Riman, 2019

48.
Digital Marketing All-in-One For Dummies
Stephanie Diamond, 2019

49.
Google Ads (AdWords) Workbook: Advertising on Google Ads, YouTube, and the Display Network (Teacher's Edition)
Jason McDonald, 2019

50.
Etsy Business - Beginners Guide To Starting Your Own Etsy Business & Learn Etsy Marketing & SEO: Simple Steps To Maximize Profit Selling On Etsy
Eric Scott, 2020