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What is Apache Cassandra?

Cassandra is a distributed database management system designed for handling a high volume of structured data across commodity servers.

Cassandra handles the huge amount of data with its distributed architecture. Data is placed on different machines with more than one replication factor that provides high availability and no single point of failure.

In the image below, circles are Cassandra nodes and lines between the circles shows distributed architecture, while the client is sending data to the node.

Cassandra Syllabus Introduction

👉 Lesson 1 Install Cassandra — How to Download & Install Cassandra on Windows

👉 Lesson 2 Cassandra Architecture & Replication Factor Strategy — A Comprehensive Guide

👉 Lesson 3 Cassandra Data Model — Learn with Simple Example

Advanced Stuff Must Know!

👉 Lesson 1 Cassandra Interview Questions — Top 23 Cassandra Interview Q & A

👉 Lesson 2 Cassandra Tutorial PDF — Download Cassandra Tutorial PDF for Beginners

Cassandra History

Cassandra was first developed at Facebook for inbox search.

Facebook open sourced it in July 2008.

Apache incubator accepted Cassandra in March 2009.

Cassandra is a top level project of Apache since February 2010.

The latest version of Apache Cassandra is 3.2.1.

First let’s understand what NoSQL database is.

Nosql Cassandra Database

NoSQL databases are called “Not Only SQL” or “Non-relational” databases. NoSQL databases store and retrieve data other than tabular relations such as relation databases.

NoSQL databases include MongoDB, HBase, and Cassandra.

There are following properties of NoSQL databases.

Design Simplicity

Horizontal Scaling

High Availability

Data structures used in Cassandra are more specified than data structures used in relational databases. Cassandra data structures are faster than relational database structures.

NoSQL databases are increasingly used in Big Data and real-time web applications. NoSQL databases are sometimes called Not Only SQL i.e. they may support SQL-like query language.

Nosql Cassandra Database Vs Relational databases

Here are the differences between relation databases and NoSQL databases in a tabular format.

Relational Database NoSQL Database

Handles data coming in low velocity Handles data coming in high velocity

Data arrive from one or few locations Data arrive from many locations

Manages structured data Manages structured unstructured and semi-structured data.

Supports complex transactions (with joins) Supports simple transactions

single point of failure with failover No single point of failure

Handles data in the moderate volume. Handles data in very high volume

Centralized deployments Decentralized deployments

Transactions written in one location Transaction written in many locations

Gives read scalability Gives both read and write scalability

Deployed in vertical fashion Deployed in Horizontal fashion

Apache Cassandra Features

There are following features that Cassandra provides.

Massively Scalable Architecture: Cassandra has a masterless design where all nodes are at the same level which provides operational simplicity and easy scale out.

Masterless Architecture: Data can be written and read on any node.

Linear Scale Performance: As more nodes are added, the performance of Cassandra increases.

No Single point of failure: Cassandra replicates data on different nodes that ensures no single point of failure.

Fault Detection and Recovery: Failed nodes can easily be restored and recovered.

Data Protection: Data is protected with commit log design and build in security like backup and restore mechanisms.

Tunable Data Consistency: Support for strong data consistency across distributed architecture.

Multi Data Center Replication: Cassandra provides feature to replicate data across multiple data center.

Data Compression: Cassandra can compress up to 80% data without any overhead.

Cassandra Query language: Cassandra provides query language that is similar like SQL language. It makes very easy for relational database developers moving from relational database to Cassandra.

Cassandra Use Cases/Application

Cassandra is a non-relational database that can be used for different types of applications. Here are some use cases where Cassandra should be preferred.

MessagingCassandra is a great database for the companies that provides Mobile phones and messaging services. These companies have a huge amount of data, so Cassandra is best for them.

Internet of things ApplicationCassandra is a great database for the applications where data is coming at very high speed from different devices or sensors.

Product Catalogs and retail appsCassandra is used by many retailers for durable shopping cart protection and fast product catalog input and output.

Social Media Analytics and recommendation engineCassandra is a great database for many online companies and social media providers for analysis and recommendation to their customers.

You're reading Cassandra Tutorial For Beginners: Learn In 3 Days

Automation Testing Tutorial For Beginners (Process, Benefits, Tools)

What is Automation Testing and How Does It Work?

Automation Testing, often known as Test Automation, is a software testing approach that involves the execution of a test case collection using particular automated testing software tools. On the other hand, manual testing is carried out by a person sitting in front of a computer, methodically carrying out the test processes.

In addition to entering test data into the System Under Test, the automated testing software may analyze predicted and actual outcomes and provide complete test reports. Software Test Automation necessitates significant financial and human resources.

Continuous implementation of the same test suite will be required in subsequent development cycles. This test suite may be recorded and replayed as needed using a test automation tool. There is no need for human interaction after the test suite has been automated. Test Automation’s return on investment has increased as a result of this. The purpose of automation is to minimize the number of test cases that must be done by humans, not to completely remove human testing.

In this automated software testing course, you’ll master the fundamentals of test automation, including −

What are Automation Testing and How Does It Work?

What Are the Benefits of Automated Testing?

What Test Cases Should Be Automated?

Method of Automated Testing

Choosing a test tool

Describe the automation’s scope.

Planning, Design, and Development are all important aspects of any project.

Implementation of the Test

The Automation Framework

Best Practices for Automation Tools

Advantages of Automated Testing

Automated Testing Types

What Should You Look for in an Automation Tool?

Automated Testing Software

What are the benefits of test automation?

Test automation is the most effective technique to improve software testing effectiveness, test coverage, and execution speed. The importance of automated software testing may be summed up as follows −

Manual testing takes time and money to test all procedures, fields, and bad cases.

Manually testing for multilingual sites is challenging.

In software testing, test automation eliminates the need for human interaction. Unattended automated testing is possible (overnight)

Test automation accelerates the execution of tests.

Increased Test Coverage is aided by automation.

Manual testing may become tedious and, as a result, prone to errors.

What Test Cases Should Be Automated?

To maximize the automation ROI, test cases to be automated might be chosen based on the criteria below.

High-risk – critical-to-business test scenarios

Test scenarios that are run on a regular basis

Manually doing test cases that are time consuming or challenging

Test Cases that take a long time to complete

Test cases in the following categories are not appropriate for automation −

Newly developed test cases that have not been personally performed at least once

Test cases in which the requirements change regularly

Test cases that are run on an as-needed basis.

Process of Automated Testing

In an Automation Process, the stages are as follows −

Step 1 − Choose a test tool

Step 2 − Define the Automation Scope

Step 3 − Design, Planning, and Development

Step 4 − Execution of the Test

Step 5 − Maintenance

Choosing a test tool

The technology that the Application under Test is based on has a big impact on the Test Tool you choose. QTP, for example, does not support Informatica. As a result, QTP will not be able to test Informatica apps. Conducting a Proof of Concept of Tool on AUT is an excellent idea.

Define the automation’s scope

The area of your Application Under Test that will be automated is referred to as the scope of automation. The following factors aid in determining scope −

The elements that are critical to the company’s success

Scenarios with a significant quantity of data

Functionalities that are shared across apps

Possibility from a technical standpoint

The percentage of business components that are reused

The difficulty of the test cases

Cross-browser testing using the same test scenarios is possible.

Planning, Design, and Development are all important aspects of any project.

You establish an Automation strategy and plan at this phase, which includes the following details −

Tools for automation have been chosen.

The design of the framework and its characteristics

Automation things that are both in-scope and out-of-scope

Preparation of an automation testbed

Scripting and execution schedules and timelines

Automation Testing Deliverables

Execution of the Test

Automation During this phase, scripts are run. Before they may be configured to run, the scripts need input test data. They generate extensive test results after they’ve been run.

The automation tool may be used directly or via the Test Management tool, which will launch the automation tool.

For instance, Quality Center is a Test Management solution that, in turn, invokes QTP to run automation scripts. Scripts may run on a single system or across several machines. To save time, the execution might be carried out at night.

Maintenance Methodology for Test Automation

The Test Automation Maintenance Approach is a step of automation testing that is used to see whether the new features introduced to the program are operating properly. When new automation scripts are introduced, they must be evaluated and maintained in order to enhance the efficacy of automation scripts with each release cycle.

The Automation Framework

A framework is a collection of automation principles that aid in the automation process.

Maintaining Testing Consistency

Enhances the structure of tests

Code use is kept to a minimum.

Code maintenance is reduced.

Reusability should be improved.

Involvement of non-technical testers in coding is possible.

The time it takes to learn how to use the instrument may be cut in half.

Uses data when it’s appropriate

In automated software testing, there are four kinds of frameworks −

Framework for Data-Driven Automation

Framework for Keyword-Driven Automation

Framework for Modular Automation

Framework for Hybrid Automation

Best Practices for Automation Tools

Keep the following in mind if you want to get the most out of automation.

Prior to the commencement of the project, the scope of Automation must be specified in detail. This is a good way to establish expectations for Automation.

Choose the correct automation tool: A tool should not be chosen primarily on its popularity, but rather on its ability to meet the automation needs.

Select a suitable framework.

Scripting Standards – When creating automation scripts, standards must be event of a system failure or unexpected application behavior.

For Error Logging, user-defined messages should be codified or standardized so that testers can interpret them.

Measure metrics – The success of automation cannot be judged just by comparing the manual and automated efforts, but rather by collecting the data listed below.

Percentage of faults discovered

The amount of time necessary for each release cycle’s automated testing.

Release takes the least amount of time possible.

Customer Satisfaction Index (CSI) is a measure of how satisfied customers are with

Enhancement of productivity

If you follow the above recommendations, your automation will be a huge will assist you in choosing the right tool for your needs −

Support for the Environment


Database Validation

Object recognition

Image Evaluation

Testing for Error Recovery

Mapping of Objects

Used Scripting Language

Support for a variety of test kinds, such as functional, test management, mobile, and so on…

Multiple testing frameworks are supported

The automation software scripts are simple to debug.

The ability to distinguish items in a variety of settings.

Test reports and findings that are extensive

Reduce the cost of training for chosen tools.

One of the most difficult difficulties to overcome before automating is tool selection. Identify the needs first, then investigate potential tools and their capabilities, create expectations for the tool, then do a Proof Of Concept.

Automated Testing Software

On the market, there are a plethora of Functional and Regression Testing Tools. Here are the greatest test automation solutions that our experts have recommended.

1. Ranorex Studio

Ranorex Studio, an all-in-one test automation solution, is used by over 14,000 people across the globe to speed up testing. For novices, Ranorex open APIs for automation specialists.


End-to-end testing and functional UI on PC, web, and mobile

Cross-browser testing is a method of determining how well a website works

SAP, ERP, Delphi, and legacy systems are just a few examples.

Apple’s iOS and Google’s Android

Run tests in parallel on actual or virtual computers, locally or remotely.

Playback of the test execution on video

Reporting capabilities built-in

For a full testing toolchain, Ranorex connects with top technologies like as Jira, Git, Azure DevOps, Jenkins, Bamboo, Bugzilla, SpecFlow, NeoLoad, TestRail, and more.


The Kobiton mobile device testing platform supports both scripted and script less test automation. Users may develop manual tests that are automatically re-run on a range of real-world devices. Kobiton fully supports test automation frameworks like Appium, Espresso, and XCTest, as well as providing its own scriptless test automation using NOVA AI.


Kobiton’s device lab management allows you to connect to cloudbased devices, on-premises devices, and on-desk devices.

Manual test sessions may be converted into scripts that can be run on many devices, allowing users to generate test scripts automatically.

When a test fails, easily link your defect management system to immediately record tickets with debug sessions attached.

Appium Anywhere technology from Kobiton guarantees fewer flaky test scripts by ensuring that your test executes the same on all devices.

Kobiton’s scriptless test automation provides open-source Appium code that may be used in a variety of ways.


ZAPTEST is a Software Automation solution for any company that utilizes software for operations or development and wants to automate back-office operations or software testing procedures while also developing a revolving automation framework.


Automated Functional and Performance Testing

RPA stands for Robotic Process Automation (Robotic Process Automation)

RPA Software Automation + Seamless Testing

Execution on Multiple Platforms (Parallel)

Automated DevOps (Mock-ups)

API Evaluation



LambdaTest is a popular tool for doing automated cross-browser testing. They provide a selenium grid that is ultra-fast, scalable, and secure, allowing customers to conduct tests on over 2000 browsers and operating systems. It works with all modern and older browsers.


Test execution is quick and flawless thanks to the newest tech stack

To reduce test cycles, parallel test execution is used.

Simple connection with CI/CD, project management, and team communication systems.

Users may test their geo location as well as their locally hosted website.

Users may use a variety of APIs to get all of the information they need.

All major languages and frameworks are supported.


Test Automation is a software testing approach that executes a test case set utilizing particular automated testing software tools.

Test automation is the most efficient technique to improve software testing productivity, test coverage, and computational efficiency.

The technology that the Application under Test is based on has a big impact on the Test Tool you choose. Maintenance of Test Automation Approach is a kind of automated testing that is used to see whether the new features introduced to the program are operating properly.

For automation to be effective, the correct automation technology, testing procedure, and team must all be in place. For effective testing, manual and automated approaches should be used together.

C Tutorial For Beginners: It’s Easier Than You Think!

There are few programming languages with the versatility and utility of C, but the language itself can often seem daunting, especially to a newcomer. The good news is that C isn’t as difficult to learn as it may seem, and there are numerous resources available for free to help you get your feet wet.

The History of C Programming

C programming was developed in 1972 by Dennis M. Ritchie. Several languages have since branched off from the core C language, including C++ and Objective C. The language was created as a general-purpose language to be used in a wide variety of applications, and it has met that goal.

Table of Contents

In fact, C is one of the most widely used programming languages in existence, if not the most widely used. Why C, you might ask? It succeeded a previous programming language called B. In the modern world, C is used for system programming more than software programming. 

Why Learn C?

Many newcomers to the programming world learn Java or Python first. These are some of the most popular modern languages, but C has just as much utility. Amateur coders are often surprised to find that C is easy to learn due to its structure. It’s capable of producing efficient, streamlined programs and can handle lower-level activities better than other languages. 

Perhaps the biggest strength of C is that it can be compiled on a variety of platforms. In fact, Unix was written entirely in C. 

The Basics of C Programming

The first thing you’ll need is an IDE, or an integrated development environment. This is a fancy term for a text editor that allows you to write and edit C code.

A few of the best IDEs for C include Visual Studio Code and Netbeans. These are intuitive IDEs that are easy to download and set up. After all, your focus should be on the code — not learning the nuances of a specific editing tool. 

These tools also make it easy to download and set up the necessary compilers on your system so that you can test your code once it’s written. 

Writing a Program

Once you have the basic tools you need to code in C, you can embark on writing your first program. There are three basic elements to a program in C. The first is the Library, which is a collection of header files. You’ll need to import a library into the program in order to use the functions within it.

Still confused? If you have experience coding in Java, think of it like a public class.

The next part of the code is the Function. In C (as well as other languages), a function is a group of statements that perform a task. The primary function present in all C programs is main(). Here’s the code:

int main() {

printf(“Hello, world!”);

return 0;


Once this function runs, it will return a 0 to the program. This is the exit statement, and basically serves to say that the program has completed its task. The opening and closing brackets after main() and return 0; contain the function within. 

The return 0; is the final part of the program. It indicates that the tasks outlined within the code have come to an end. Bear in mind that every line within the function has to end in a semicolon. This is part of the language’s syntax. The entire program put together should look like this:

int main() {

printf (“Hello, world!”);

return 0;


If it looks confusing, but don’t worry. Learning the specific commands for C can be a little confusing, but after a bit of practice you’ll have no trouble at all. 

Additional Resources For C Practice

If you’re just starting out with C, you’ll want to get a lot of practice coding. The more hands-on you are with the syntax and the mechanics of the language, the easier it will become. These are some of the best free resources on the web for learning how to code in C.

This website includes a number of interactive C tutorials for beginners that you can work through one at a time. You don’t have to sign up or download anything; all processing and compiling is handled within the website itself. It starts users with the most basic commands and builds from there.

Codelopment Django Tutorial: From Beginners To Advanced

In this course, you will learn from LLG, the founder of Codelopment, as he explains everything you need to know about Django, one of the most popular web frameworks in the world. You will discover the benefits of using Django, explore real-world examples of Django frameworks, and learn how to develop full-stack web applications using Python and Django frameworks.

Best Django tutorial in Hindi on Udemy

Covers multiple projects with Python and Django frameworks

The perfect playlist for learning Python with Django in Hindi

Full-stack Python development with Django framework

Hands-on project with Django framework included

Taught by a talented software engineer, LLG

Create a website using Django

Understand database connections in Django

Learn Django Restframework

Get hands-on experience with CRUD operations in Django using MySQL, and learn Django deployments and hosting

LLG will teach you how to connect Django with MySQL and cover CRUD operations using MySQL in Django. You will also get hands-on experience with full-stack web development, giving you the skills you need to build powerful web applications. Plus, everything will be explained in Hindi, making it easy for Hindi-speaking students to learn and master Django.

By the end of this course, you will be able to create your own web applications using Django and confidently take on web development projects. So, if you’re ready to master Django and become a proficient web developer, enroll now and start your journey toward becoming a Django expert!

About LLG-

LLG is a talented software engineer at Tata Consultancy Services and a certified Data Scientist from Vkonex AI Research (IIT Bombay). He is a former software engineer at Credit Suisse with expertise in Full Stack Python development using Django and databases and is a 5-Star coder on HackerRank. LLG is also the founder of Sofelopment Pvt Ltd and created Codelopment, a popular YouTube channel for computer science students. As a motivational speaker, he shares his knowledge and experience through educational content and his podcast, “The Codelopment Presents Podcast,” available on various audio platforms such as Spotify, Amazon Music, and Gaana. With a BTech in Computer Science and Engineering (2023), LLG is committed to constantly learning and growing in his field.

Who this course is for

Individuals looking to become a certified web developer

Those who want to improve their intelligence in logic development

Aspiring database experts

Individuals interested in learning Django Rest framework

Those who wish to land jobs in top MNCs like TCS, Wipro, Accenture, and many others.


What you’ll learn

Best Django tutorial in Hindi on YouTube

Covers too many projects with Python and Django frameworks

The perfect playlist for anyone excited to learn Python with Django in Hindi

Learn Full-stack Python development with the Django framework

Includes hands-on project with Django framework

Taught by a talented software engineer, LLG

Learn how to create a website using Django

Understand database connections in Django

Learn Django Restframework

Get hands-on experience with CRUD operations in Django using MySQL and learn Django deployments and hosting


Are there any course requirements or prerequisites?

Good knowledge of Python

Knowledge of HTML, CSS, and JavaScript

Completed “Codelopment Python Full Stack Development Tutorial in Hindi” or have equivalent knowledge in Python

Basic understanding of SQL

Good creativity in making websites (at least static websites).

8 Best Cryptos For Beginners

Cryptocurrencies have become a popular investment choice for many people, but the crypto space can be intimidating for newcomers. With so many different cryptocurrencies available, it can be difficult to know where to start. What crypto should you buy, and how do you know which ones are good investments for beginners?

Luckily, there are some cryptocurrencies that are easier to invest in and understand for beginners. These projects often have a clear use case and a strong community behind them, making them more stable and less risky than other, more speculative coins.

In this article, we’ll take a look at the top crypto to buy for beginners. We’ll explore what makes these projects good investments, as well as the benefits and potential risks of investing in them. By the end of this article, you’ll have a better understanding of the crypto space and which cryptocurrencies are the best for beginners.

Bitcoin (BTC)

As the biggest and most well-known crypto, Bitcoin (BTC) is often seen as a safe investment option for beginners in the crypto space. It has a strong reputation and is widely accepted as a form of payment. Although it is not an ERC20 token, it is one of the top crypto coins to consider for beginners.

Bitcoin has been around since 2009 and is the first cryptocurrency to gain widespread adoption. It remains the top crypto coin in terms of market capitalization and overall popularity. It has become a household name and has led to the creation of other cryptocurrencies. Despite its volatility, it is a reliable investment option for beginners due to its high liquidity and a large community of supporters.

Bitcoin’s decentralized nature and limited supply make it an attractive investment opportunity, and its historical performance has been impressive. Although its price has experienced massive fluctuations over the years, it has consistently bounced back to new all-time highs.

Moreover, Bitcoin’s dominance in the cryptocurrency market means it has a lot of use cases and is widely accepted as a payment option by merchants worldwide. Additionally, it is supported by several exchanges and wallets, making it easy for beginners to buy and store their coins.

Overall, Bitcoin is a top crypto coin for beginners due to its long-standing reputation, high liquidity, and widespread adoption. It’s an excellent option for those looking to diversify their investment portfolio and get started with cryptocurrency investing.

The Sandbox (SAND)

The Sandbox (SAND) is an ERC20 token that powers a virtual gaming world. It is an excellent option for beginners who are interested in the gaming industry and want to invest in an innovative project that has real-world applications.

Shiba Inu (SHIB)

Shiba Inu (SHIB) is a meme-inspired ERC20 token that has quickly become popular in the crypto community. It is a relatively low-cost investment option that has the potential for high returns. However, as with all cryptocurrencies, it is important to do your own research before investing.

Axie Infinity (AXS): Axie Infinity (AXS) is another ERC20 token that is popular in the gaming community. It allows players to earn cryptocurrency by playing games, making it a fun and rewarding experience for beginners. With the potential for high returns and an active community, it is one of the best cryptos for beginners to consider.

Avalanche (AVAX): Avalanche (AVAX) is a blockchain platform that allows developers to create decentralized applications. It is an excellent option for beginners who are interested in investing in the blockchain industry. With fast transaction speeds and low fees, it is one of the best cryptos for beginners to consider.

Polygon (MATIC): Polygon (MATIC) is another blockchain platform that allows developers to create decentralized applications. It is known for its fast transaction speeds and low fees, making it an excellent option for beginners who want to invest in the blockchain industry without breaking the bank.

Binance Coin (BNB)

Binance Coin (BNB) is the main crypto of the Binance cryptocurrency exchange. It is an excellent option for beginners who want to invest in the exchange industry. With a strong reputation and a wide range of use cases, it is one of the best cryptos for beginners to consider.


Additionally, TOADS has a focus on NFTs, which is a growing industry within the larger crypto market. Its partnerships with top NFT projects further strengthen its position in the market.

TOADS stands out as a top ICO that presents an exciting opportunity for beginners to enter the market. Its unique features and strong potential for growth make it a standout choice for those looking to invest in the cryptocurrency for beginners. Overall, with its focus on play-to-earn, NFTs, and deflationary model, TOADS is undoubtedly the best beginner-friendly option and one to watch in the coming months.

Top 10 Css Books For Beginners And Advanced In 2023

Books to Learn CSS

CSS is used to format the layout and visuals of a markup language, mostly HTML, along with XML documents such as SVG and XUL. This language has become very popular because it saves time and effort when creating and updating multiple web pages with different layouts simultaneously.

Knowing more about the language is imperative as CSS evolves over time. Combining book learning with hands-on practice and exploring online resources is beneficial to stay updated with the latest CSS features and best practices.

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Web development, programming languages, Software testing & others

Key Takeaways

Books explain the various selector types in-depth, including class selectors, ID selectors, attribute selectors, pseudo-classes, and pseudo-elements.

CSS books delve into layout techniques, including the traditional block and inline models, and newer approaches like Flexbox and CSS Grid

Many CSS books touch upon CSS preprocessors like Sass or Less. These preprocessors extend CSS by introducing variables, nesting, mixins, and other valuable features.

Top 10 CSS Books

Here are the top 10 books in no specific order to further your understanding of CSS.

Sr No Books Author Published


1. Head First HTML and CSS: A Learner’s Guide to Creating Standards Elisabeth Robson, Eric Freeman 2012

2. Learn CSS in One Day and Learn It Well LCF Publishing, Jamie Chan 2023

3. CSS in easy steps Mike McGrath 2023

4. CSS Master Tiffany B Brown 2023

5. CSS: The Definitive Guide – Visual Presentation for the Web Eric Meyer, Estelle Weyl 2023

6. CSS in Depth Keith J. Grant 2023

7. CSS Pocket Reference: Visual Presentation for the Web Eric Meyer 2023

8. Modern CSS: Master the Key Concepts of CSS for Modern Web Development Joe Attardi 2023

9. CSS Secrets: Better Solutions to Everyday Web Design Problems Lea Verou 2023

10. CSS Mastery: Advanced Web Standards Solutions Andy Budd, Cameron Moll, Simon Collison 2009

Let us discuss the reviews and takeaways of the CSS Books:-

Book#1: Head First HTML and CSS

Author: Elisabeth Robson, Eric Freeman

Get this Book Here

Book Review

Key Takeaways from that Book

Learn to build blocks, create a new lounge, find a hosting company, etc., to learn more about web development.

Find how the browser works with images, add meta tags, and know overriding inheritance.

Book#2: Learn CSS in One Day and Learn It Well

Author: Jamie Chan

Get this Book Here

Book Review

See complex subject matter concepts broken down into simpler byte-sized vital elements that are easily comprehensible. Practice hands-on examples with suitable illustrations that cater to the need of each learner.

Key Takeaways from that Book

Glance and understand padding and margin properties, Border properties, Navigation bars, and text much better.

Take in applying CSS code, CSS Box model, absolute positioning, etc.

Book#3: CSS in Easy Steps

Author: Mike McGrath

Get this Book Here

Book Review

If you want to bring creative, stylish web pages to the table, then look no more, for here is a book that provides extensive knowledge of the latest style sheet techniques. Access interactive functionality and syntax highlighted code at the touch of your fingers.

Key Takeaways from that Book

Includes getting started in CSS, organizing tables and lists, and generating effects in a simple mannerism.

Manipulate text content, enhance controls of the intuitive web design, and curate beautiful layouts for grids and devices.

Book#4: CSS Master

Author: Tiffany B Brown

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Book Review

Key Takeaways from that Book

Highlights the importance of complex layouts and bettering repaint and reflow performance penalties.

It provides the best of Flexbox and deep dives into the nitty gritty of using CSS with SVG.

Book#5: CSS: The Definitive Guide

Author: Eric Meyer, Estelle Weyl

Get this Book Here

Book Review

Key Takeaways from that Book

Overview of selectors, line cascade, and old CSS values and units.

Bring colors, gradients, 2D and 3D transforms, container queries, etc.

Reacquaint yourself with padding, borders, and an inline direction layout paradigm.

Book#6: CSS In-depth

Author: Keith J. Grant

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Book Review

Key Takeaways from that Book

Comprises key pointers, technical guidance, insights, and more on topics such as shadows, blends, contrast, etc.

Book#7: CSS Pocket Reference: Visual Presentation for the Web 5th Edition

Author: Eric Meyer

Get this Book Here

Book Review

Key Takeaways from that Book

Contains detailed sections on selectors and queries, structural pseudo-classes, and iteration pseudo-classes.

Learn property references, table layouts, and color values, amongst many more content topics like this.

Book#8: Modern CSS

Author: Joe Attardi

Get this Book Here

Book Review

Key Takeaways from that Book

Covers basic CSS concepts, basic styling, backgrounds, and gradients concisely.

Go through topics like transitions and animations, CSS grid, Responsive design, and transforms.

Create vivid animation elements in your projects with CSS transitions.

Book#9: CSS Secrets: Better Solutions to Everyday Web Design Problems

Author: Lea Verou

Get this Book Here

Book Review

Key Takeaways from that Book

The 47 chapters contain the secrets of daily functional CSS code snippets that use common UI problems and aim to solve them one step at a time.

Book#10: CSS Mastery: Advanced Web Standards Solutions

Author: Andy Budd, Cameron Moll, Simon Collison

Get this Book Here

Book Review

Key Takeaways from that Book

Lays the foundation of the style sheet language, visual formatting model, and image replacement.

Recommended Articles

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