Trending February 2024 # How To Open Windows Firewall Using Different Methods # Suggested March 2024 # Top 8 Popular

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Windows Defender Firewall is a software firewall component of the Windows operating system. In this post, we will show you how to open Windows Firewall using different methods on your PC to access the application whether you want to turn it off or just to make sure it is running to protect your PC.

How to open Windows Firewall in Windows 11/10

The Windows Defender Firewall can be configured to allow or block programs on a computer from accessing network or Internet resources. It also allows or blocks connections to and from other computers on a network. Essentially, as part of its built-in security suite for the Windows OS, the application works to protect the operating system and user data on the computer from improper or unapproved access, use, and possible infection. PC users can access or open the Windows Defender Firewall using any of the following methods below.

1] Control Panel

To open Windows Firewall in Windows 11 or Windows 10:

Press Windows key + R to invoke the Run dialog.

In the Run dialog box, type control and hit Enter to open Control Panel.

From the top right corner of the window, set the View by option to Small icons or Large icons.

Select Windows Defender Firewall.

Read: How to test your Firewall software

2] Run Dialog

Press Windows + R key combination to open the Run dialog.

In the Run dialog box, type control chúng tôi hit Enter.

3] Windows Search

Type in windows defender firewall.

Read: How to Restore or Reset Windows Firewall settings to defaults

4] Windows Terminal

Press the Windows key + X to open Power User Menu.

Tap A on the keyboard to launch Windows Terminal in admin/elevated mode.

In the PowerShell console or CMD prompt, type control chúng tôi hit Enter.

Read: Best Free Firewall software for Windows

5] Desktop Shortcut

Read: Import, Export, Repair, Restore Default Firewall Policy in Windows

6] Keyboard Shortcut

To use a keyboard shortcut to open Windows Firewall, you will first have to create a desktop shortcut as shown above. Once you’ve done that, you can apply a hotkey to the Windows Firewall desktop shortcut by following these steps:

In the Shortcut key field, enter the Ctrl + Alt + F (where F is for firewall) hotkey.

Now, to open Windows Defender Firewall, simply press the Ctrl + Alt + F key combo. You can always change that hotkey by pressing a different key for it within the Shortcut key field. If you delete the Windows Defender Firewall desktop shortcut, the hotkey assigned to it will also be erased.

Read: Windows Firewall with Advanced Security – Deploying IPsec Policies

7] Desktop Context Menu

You can modify the registry to add a Windows Firewall option to the desktop context menu which contains the following actions:

Windows Firewall – opens the user interface of the app

Windows Firewall with Advanced Security – opens Windows Firewall with Advanced Security

Configure Allowed Apps

Turn On Windows Firewall

Turn Off Windows Firewall

Reset Windows Firewall

Windows Defender Security Center

Since this is a registry operation, it is recommended that you back up the registry or create a system restore point as necessary precautionary measures. To add Windows Firewall to Context Menu in Windows 11/10, do the following:

Press Windows key + R to invoke the Run dialog.

In the Run dialog box, type notepad and hit Enter to open Notepad.

Copy and paste the code below into the text editor.

Windows Registry Editor Version 5.00 [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenu] "Icon"="FirewallControlPanel.dll,-1" "MUIVerb"="Windows Firewall" "Position"="Bottom" "SubCommands"="" [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand001] "Icon"="FirewallControlPanel.dll,-1" "MUIVerb"="Windows Firewall" [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand001Command] @="RunDll32 shell32.dll,Control_RunDLL firewall.cpl" [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand002] "HasLUAShield"="" "MUIVerb"="Windows Firewall with Advanced Security" [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand002Command] @="mmc.exe /s wf.msc" [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand003] "Icon"="FirewallControlPanel.dll,-1" "MUIVerb"="Configure Allowed Apps" [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand003Command] @="explorer shell:::{4026492F-2F69-46B8-B9BF-5654FC07E423} -Microsoft.WindowsFirewall\pageConfigureApps" [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand004] "CommandFlags"=dword:00000020 "HasLUAShield"="" "MUIVerb"="Turn On Windows Firewall" [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand004Command] [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand005] "HasLUAShield"="" "MUIVerb"="Turn Off Windows Firewall" [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand005Command] [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand006] "HasLUAShield"="" "MUIVerb"="Reset Windows Firewall" [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand006Command] [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand007] "Icon"="%ProgramFiles%\Windows Defender\EppManifest.dll,-101" "MUIVerb"="Windows Defender Security Center" "CommandFlags"=dword:00000020 [HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenuShellCommand007Command] @="explorer windowsdefender:"

Choose a location (preferably desktop) where you want to save the file.

Enter a name with a .reg extension (eg;  chúng tôi ).

Choose All Files from the Save as type drop-down list.

You can now delete the .reg file if you like.

If you want to remove the option, repeat the steps above but this time use the code below:

Windows Registry Editor Version 5.00 [-HKEY_CLASSES_ROOTDesktopBackgroundShellFirewallContextMenu]

That’s it on how to open Windows Firewall using different methods!

Read next: 10 ways to open Windows Security Center

Is there another way to get your firewall settings if so how?

You will find the native Firewall application for the Windows operating system in the System and Security section of the Control Panel app. Still, you can easily open or access the Windows Firewall’s settings by using any of the methods described in this post above. You can use the netsh command to verify the firewall settings. You will see information similar to the following: Profile = Domain. Exception mode = Enable. Multicast/broadcast response mode = Enable. Notification mode = Enable.

Read: Windows Defender Firewall is using settings that make device unsafe

How to open Windows Firewall ports command line?

Open the command prompt, type netstat –na, and hit Enter. Find port 445 under the Local Address from the output and check the State. If it says Listening, your port is open. To open the Remote Desktop port (port 3389) in Windows Firewall, go to Advanced settings on the left side and ensure that ‘Inbound Rules’ for Remote Desktop is ‘Enabled’.

You're reading How To Open Windows Firewall Using Different Methods

Calculating Correlation In Different Methods

Introduction to Correlation Example

The following Correlation examples outline the most common set of Correlation examples:

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Example #1

Below, we mention the height and weight of 5 students in a class:

Student Name Height (in cm) Weight (in kgs)

Frank 160 53

Leo 165 61

Jerry 172 74

Celeste 150 51

Tracy 180 82

Based on this simple data on the Height and Weight of students, we can observe a correlation pattern that is positive. The data suggest that weight increases with greater height, and the inference we draw from the correlation implies that taller people usually weigh more.

Example #2

Below, we provide the speeds of different trains and the times they take to reach the same destination.

Train Name Speed (in km/hr) Time Taken (in hrs)

A 40 5

B 50 4

C 80 2.5

Here we can easily observe the Negative Correlation that Speed and Time taken have with the greater the speed of the Train, the fewer hours are taken to reach the destination.

Example of Correlation (With Excel Template)

Let’s take an example to understand the calculation of the correlation in a better manner.

You can download this Correlation Example Excel Template here – Correlation Example Excel Template

Correlation – Example #1

The following table exhibits the returns on ABC Limited’s two stocks in their Model Portfolio for the last 5 years. Based on the same, let us calculate and interpret the correlation between the two stocks.

Solution:

We will use the Pearson Correlation Coefficient to determine the two assets’ correlation. This method, one of the most popular for measuring the linear relationship between two variables, will help us understand the relationship between two stocks: Facebook and Amazon, in our case.

The average Mean for 5 years is calculated as

The standard deviation is calculated as

The Sum of C*D is calculated as

Covariance is calculated as

Correlation is calculated using the given formula below

The Correlation of Negative 0.7501 implies a low to high Negative Correlation between the two stocks.

The correlation discussed in the above example is the Pearson Correlation Coefficient method. It helps measure the linear relationship between the two variables, which in our case was the two stocks in the model portfolio.

Correlation – Example #2

Let’s take another example and understand correlation measures using a popular approach called Spearman Rank Correlation. It is an Ordinal Correlation measure, and correlation calculation is undertaken based on the relationship between the rank of the variables.

Solution:

X is calculated as

The sum of (di^2) is calculated as

The following table exhibits the returns on two stocks, X and Y, for the last 5 months. Based on the same, let us compute and interpret the correlation between the two stocks using the Spearman Rank Correlation method.

Correlation is calculated using the formula given below.

We calculate correlation using the Spearman Correlation method by first ranking the returns of Stock X from lowest to highest in the second column. We then list the returns for Stock Y in the third column for each respective month. The fourth and fifth columns list the return for Stock X and Y rank-wise. The sixth column lists the rankings for each month, and the seventh column determines the sum of squared differences in rankings.

Correlation – Example #3

The following data is observed from the medical reports of 10 patients categorized based on their Age and Blood Pressure Level. Based on the same, let us calculate the Correlation Coefficient.

Solution:

We calculate the sum as follows

We calculate correlation using the formula given below

r = NΣxy – (Σx)(Σy) / √ [NΣx2 – (Σx)2][NΣy2 – (Σy)2]

Conclusion

We encounter examples of correlation in our day-to-day life, and they help us understand the relationship between two things. Researchers often use it for predicting purposes and validating any relationship between different variables. The correlation coefficient varies from -1 to 1 values where -1 indicates a strong Negative Correlation and 1 indicates a strong Positive Correlation between the variables, and a Correlation value of Zero indicates no relationship between the two variables. We have discussed both simple and practical examples above to validate the concept of correlation and its relevance in statistical and other analytical studies.

Recommended Articles

This is a guide to Correlation Example. Here we discuss calculating the correlation using different methods with different examples. You may also look at the following articles to learn more –

How To Apply Different Titles For Each Different Subplots Using Plotly In Python?

Introduction

Subplot creation is one of several tools for data visualization provided by the Python library Plotly. A big narrative can be broken up into multiple smaller ones using subplots. Sometimes, in order to give the main story greater depth and consistency, it may be essential to give each subplot its own title.

Syntax

Customizing subplot titles in plot grids is made possible through the usage of the subplot_titles parameter, which enables us to create unique titles for each plot. The make_subplots() function is essentially a factory method that allows us to establish a plot grid with a designated number of rows and columns. Let’s delve into some of the key parameters we can manipulate with make_subplots() −

rows − This parameter specifies the number of rows in the plot grid.

cols − This parameter specifies the number of columns in the plot grid.

specs − An array of arrays that delineates the type of each subplot in the grid. Each element in the specs array should comprise two values: the number of rows and columns the subplot spans, respectively, and the subplot type.

subplot_titles − An array of strings that illustrates the titles of each subplot in the grid. The size of this array should equal the number of subplots in the grid.

In the code below we will be do the in a way like this to give each subplot a unique title −

fig = make_subplots(rows=1, cols=3, subplot_titles=("Subplot 1", "Subplot 2", "Subplot 3")) Example

Before writing the actual code, understand the algorithm for it.

Import the necessary modules – plotly.graph_objs and plotly.subplots as well as numpy.

Create some data using numpy to be plotted.

Use the make_subplots function to create a grid of subplots with 1 row and 3 columns. Pass the subplot_titles parameter to give each subplot a unique title.

Add traces to each subplot using the add_trace method. For each subplot, pass a go.Scatter object containing the data to be plotted and a name parameter to label the data.

Use the update_layout method to assign a title to the entire plot.

Use the update_xaxes and update_yaxes methods to assign unique titles to the x-axis and y-axis of each subplot.

Display the plot using the show method.

import plotly.graph_objs as go from plotly.subplots import make_subplots import numpy as np # Create data x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x) y3 = np.tan(x) # Create subplots fig = make_subplots(rows=1, cols=3, subplot_titles=("Sin(x)", "Cos(x)", "Tan(x)")) # Add traces fig.add_trace(go.Scatter(x=x, y=y1, name='Sin(x)'), row=1, col=1) fig.add_trace(go.Scatter(x=x, y=y2, name='Cos(x)'), row=1, col=2) fig.add_trace(go.Scatter(x=x, y=y3, name='Tan(x)'), row=1, col=3) # Assign unique titles to each subplot fig.update_layout(title_text="Trigonometric Functions") fig.update_xaxes(title_text="X-axis for Sin Wave", row=1, col=1) fig.update_xaxes(title_text="X-axis for Cos Wave", row=1, col=2) fig.update_xaxes(title_text="X-axis Tan Wave", row=1, col=3) fig.update_yaxes(title_text="Y-axis for Sin Wave", row=1, col=1) fig.update_yaxes(title_text="Y-axis for Cos Wave", row=1, col=2) fig.update_yaxes(title_text="Y-axis Tan Wave", row=1, col=3) # Display the plot fig.show()

Import plotly.graph objs and plotly.subplots first, as these are required libraries. In order to create some example data, we also import the numpy library.

The numpy library is then used to create some example data. The sin, cos, and tan functions of the array x are represented by the three arrays y1, y2, and y3 that we generate. Using the make subplots() method, we next produce a subplot grid with one row and three columns.

The subplot titles option is additionally sent an array of three strings with the values “Sin(x)”, “Cos(x),” and “Tan(x)”. Each grid subplot’s titles are determined by this.

With the add trace() function, each subplot is given a trace after the subplot grid has been created. For each of the three y1, y2, and y3 arrays, a Scatter trace is added. For the three traces, we additionally supply the name parameters as “Sin(x),” “Cos(x),” and “Tan(x),” accordingly. By utilizing the row and col arguments of the add trace() method, we can define the subplot for each trace.

The general title of the plot is then changed to “Trigonometric Functions” using the update layout() method.

Now set the x-axis and y-axis titles for each subplot using the update xaxes() and update yaxes() methods to give each subplot a special title. To indicate the subplot we wish to update, we supply the row and col parameters. We also pass the title text argument to set the title for the x-axis or y-axis.

The plot is finally shown using the show() method.

Conclusion

Plotly’s make subplots() function offers a practical method for making a grid of subplots. Every subplot in the grid can have a different title by using the subplot titles argument. Besides that, the update xaxes() and update yaxes() routines allow us to change the names of the x- and y-axes for each subplot.

Searching In Data Structure – Different Search Methods Explained

In today’s rapidly expanding communication network, businesses are going digital to enhance management efficiency. With the increasing amount of data generated on the internet, datasets are becoming more complex. To carefully and efficiently organize, manage, access, and analyze data, utilizing a data structure is crucial. This article focuses on the significance of data structures, exploring the fundamental concept of searching. It delves into various search techniques, including linear and binary search, evaluating their complexities, strengths, and weaknesses.

This article was published as a part of the Data Science Blogathon.

What is a Data Structure?

In computer science, data structures serve as the foundation for abstract data types (ADT), where ADT is the logical form of data types. The physical design of data types is implemented using data structures. various types of data structures are used for different types of applications; some are specialized in specific tasks.

Data structures are referred to as a collection of data values and relationships between them, functions, and operations applicable to the data. so that, users can easily access and modify the data efficiently.

Data structures help us to manage large amounts of data, such as huge databases. Efficient data structures are the fundamental basis for efficient algorithms. Besides efficient storage, data structures are also responsible for the efficient retrieval of data from stored locations. It includes an array, Graph, Searching, Programs, Linked List, Pointer, Stack, Queue, Structure, Sorting, and so forth.

The concepts of searching in a data structure, as well as its methods, are covered in this article.

What is Searching in Data Structure?

Searching in data structure refers to the process of finding the required information from a collection of items stored as elements in the computer memory. These sets of items are in different forms, such as an array, linked list, graph, or tree. Another way to define searching in the data structures is by locating the desired element of specific characteristics in a collection of items.

Different Searching Metods

Searching in the data structure can be done by applying searching algorithms to check for or extract an element from any form of stored data structure.

These algorithms are classified according to the type of search operation they perform, such as:

These methods are evaluated based on the time taken by an algorithm to search an element matching the search item in the data collections and are given by,

The best possible time

The average time

The worst-case time

The primary concerns are with worst-case times, which provide guaranteed predictions of the algorithm’s performance and are also easier to calculate than average times.

To illustrate concepts and examples in this article, we are assuming ‘n’ items in the data collection in any data format. To make analysis and algorithm comparison easier, dominant operations are used. A comparison is a dominant operation for searching in a data structure, denoted by O() and pronounced as “big-Oh” or “Oh.”

There are numerous searching algorithms in a data structure such as linear search, binary search, interpolation search, sublist search, exponential search, jump search, Fibonacci search, the ubiquitous binary search, recursive function for substring search, unbounded, binary search, and recursive program to search an element linearly in the given array. The article includes linear search, binary search, and interpolation search algorithms and their working principles.

Let’s take a closer look at the linear and binary searches in the data structure.

What is Linear Search?

The linear search algorithm iteratively searches all elements of the array. It has the best execution time of one and the worst execution time of n, where n is the total number of items in the search array.

It is the simplest search algorithm in data structure and checks each item in the set of elements until it matches the searched element till the end of data collection. When the given data is unsorted, a linear search algorithm is preferred over other search algorithms.

Complexities in linear search are given below:

Space Complexity

Since linear search uses no extra space, its space complexity is O(n), where n is the number of elements in an array.

Time Complexity

Best-case complexity = O(1) occurs when the searched item is present at the first element in the search array.

Worst-case complexity = O(n) occurs when the required element is at the tail of the array or not present at all.

Average- case complexity = average case occurs when the item to be searched is in somewhere middle of the Array.

Pseudocode for Linear Search Algorithm procedure linear_search (list, value) for each item in the list if match item == value return the item's location end if end for end procedure

Let’s take the following array of elements:

45, 78, 15, 67, 08, 29, 39, 40, 12, 99

To find ‘29’ in an array of 10 elements given above, as we know linear search algorithm will check each element sequentially till its pointer points to 29 in the memory space. It takes O(6) time to find 29 in an array. To find 15, in the above array, it takes O(3), whereas, for 39, it requires O(7) time.

What is Binary Search?

This algorithm locates specific items by comparing the middlemost items in the data collection. When a match is found, it returns the index of the item. When the middle item is greater than the search item, it looks for a central item of the left sub-array. If, on the other hand, the middle item is smaller than the search item, it explores for the middle item in the right sub-array. It keeps looking for an item until it finds it or the size of the sub-arrays reaches zero.

Binary search needs sorted order of items of the array. It works faster than a linear search algorithm. The binary search uses the divide and conquers principle.

Run-time complexity = O(log n)

Complexities in binary search are given below:

The worst-case complexity in binary search is O(n log n).

The average case complexity in binary search is O(n log n)

Best case complexity = O (1)

Pseudocode for Binary Search Algorithm Procedure binary_search A ← sorted array n ← size of array x ← value to be searched Set lowerBound = 1 Set upperBound = n while x not found if upperBound < lowerBound EXIT: x does not exists. set midPoint = lowerBound + ( upperBound - lowerBound ) / 2 if A[midPoint] x set upperBound = midPoint - 1 if A[midPoint] = x EXIT: x found at location midPoint end while end procedure

Example,

To find 61 in an array of the above elements,

The algorithm will divide an array into two arrays, 09, 12, 26, 39 and 45, 61, 67, 78

As 61 is greater than 39, it will start searching for elements on the right side of the array.

It will further divide the into two such as 45, 61 and 67, 78

As 61 is smaller than 67, it will start searching on the left of that sub-array.

That subarray is again divided into two as 45 and 61.

As 61 is the number matching to the search element, it will return the index number of that element in the array.

It will conclude that the search element 61 is located at the 6th position in an array.

Binary search reduces the time to half as the comparison count is reduced significantly as compared to the linear search algorithm.

What is Interpolation Search?

It’s a better version of the binary search algorithm that focuses on the probing position of the search element. It only works on sorted data collection, similar to binary search algorithms.

Complexities in interpolation search are given below:

When the middle (our approximation) is the desired key, Interpolation Search works best. As a result, the best case time complexity is O(1).

If the data set is sorted and distributed uniformly, the interpolation search’s average time complexity is O(log2(log2n)), where n denotes the total of elements in an array.

In the worst-case scenario, we’ll have to traverse the entire array, which will take O(n) time.

An interpolation search is used when the location of the target element is known in the data collection. If you want to find Rahul’s phone number in the phone book, instead of using a linear or binary search, you can directly probe to memory space storage where names begin with ‘R’.

Pseudocode for Interpolation Search Algorithm A → Array list N → Size of A X → Target Value Procedure Interpolation_Search() Set Lo → 0 Set Mid → -1 Set Hi → N-1 While X does not match if Lo equals to Hi OR A[Lo] equals to A[Hi] EXIT: Failure, Target not found end if Set Mid = Lo + ((Hi - Lo) / (A[Hi] - A[Lo])) * (X - A[Lo]) if A[Mid] = X EXIT: Success, Target found at Mid else if A[Mid] X Set Hi to Mid-1 end if end if End While End Procedure Master All Searching Techniques

Mastering the art of searching in data structures is essential in today’s data-driven world. By understanding and implementing efficient search algorithms, you can unlock valuable insights and make informed decisions. As you delve into data structures, consider taking your skills to the next level with our Blackbelt program. With its comprehensive curriculum and hands-on projects, the program equips you with the expertise to become a data structure expert. Join the Blackbelt program and embark on a transformative journey towards becoming a proficient data scientist capable of harnessing the power of data structures to drive meaningful impact and innovation.

Frequently Asked Questions

Q1. What is searching and types?

A. Searching is the process of finding a particular piece of information or data from a larger set of data or information. There are various types of searching techniques, including linear search, binary search, hash search, and tree search. Linear search is a simple and straightforward method for finding data, while binary search is faster for larger sets of data. Hash search and tree search are specialized techniques for certain types of data structures.

Q2. What are the two types of searching in data structure?

A. The two main types of searching in data structure are sequential/linear search, where each element is checked sequentially, and binary search, which is faster and works by dividing the dataset in half and comparing the middle element with the target value until a match is found.

Q3. What is searching and sorting?

A. Searching and sorting are two fundamental operations in computer science and data structures. Searching refers to finding a specific element or value within a collection of data, while sorting involves arranging the data in a specific order, such as ascending or descending. These operations are used in many applications, such as information retrieval, database management, and computer algorithms. Efficient algorithms for searching and sorting are essential for optimizing the performance of many computer systems.

Related

How To Open Epub Files On Windows

Microsoft Edge used to allow you to read your favorite eBooks directly in the browser. Microsoft made opening EPUB files possible through the Windows 10 Creators Update, which brought a slew of features including EPUB file format support. 

Adding EPUB support to Edge was a strategic decision because Microsoft sold eBooks in the Microsoft Store app. In July 2023, once Microsoft removed eBooks entirely, they also ended support for EPUB files, which means you can no longer open eBooks with the .epub file extension with Microsoft Edge.

Table of Contents

Fortunately, you can open EPUB files on Windows using an application that supports them, convert the EPUB files to other supported file formats, and then read them on your PC.

How to Open EPUB Files on Windows

You can open EPUB files in most eBook readers, but if you want to open the files on your Windows PC, this guide will show you five different ways to do that. 

Using third-party ePub apps 

Using a browser extension

Using Google Play Books 

Renaming the file from .ePub to .zip

Converting the EPUB file to PDF

Open EPUB Files Using Third-Party Software

Microsoft has a list of free and premium, recommended third-party .ePub apps that open EPUB files. Also, you can use other free programs such as Calibre, Adobe Digital Editions, or the simpler EPUB File Reader. 

Allows you to open EPUB files 

Keeps your EPUB library organized

Converts EPUB files to other popular eBook file formats so you can read them on your Windows PC

Here’s how you can use Calibre to open EPUB files on Windows.

Download and install Calibre on your computer, open the app, and select Add books.

Find and select the EPUB file you want to open.

Highlight the EPUB file in the main panel and select View at the top.

An EPUB file will appear in a new window, which you can resize to your reading preferences.

Adobe Digital Editions is a free program that helps you: 

Read eBooks you download from popular booksellers or library sites 

Transfer the eBooks across different devices

Open EPUB Files Using a Browser Extension or Add-on

If you use Chrome or Firefox, you can get an extension or add-ons like Simple EPUB Reader or the EPUBReader that let you read EPUB files in the browser.

On Chrome, find EPUBReader from the Chrome Web Store and select Add to Chrome.

Select Add extension to add EPUBReader to Chrome. 

You’ll get a notification that the EPUBReader extension has been added to Chrome.

To open your EPUB file, select the EPUBReader Chrome extension icon at the top right side.

Select the folder icon in the new window. 

Choose the EPUB file you want to open, select Open and start reading your eBook directly in the browser.

Open EPUB Files Via Google Play Books

Google Play Books is an online bookstore that contains collections of textbooks, bestsellers, classics, and new book releases. You can use the app on your mobile device or a web reader app for Chrome on your Windows PC. 

You can upload the EPUB file to your Google account and open it using Google Play Books in a few quick steps.

Select My books on the left side.

Select Upload files.

Once your EPUB file is uploaded to Google Play Books, you’ll find the file under the My Books section, and you can read it directly on your browser.

Note: Any books you add to Google Play Books are visible to you alone, meaning no one can view or open them. Plus, you can’t customize the book covers.

Open EPUB Files by Renaming .ePub to .zip

If you don’t want to open EPUB files on Windows using third-party software, you can rename the file from .ePub to .zip and open it with a file compression program like 7-Zip.

Replace the .ePub suffix with .zip and press Enter. 

You can also use an online tool like ezyZip to convert the ePub file to a .zip file.

Then, use 7-Zip, WinRAR, WinZip, or your preferred file compression program to extract the contents of the file, which are in HTML format. (See the differences between the many archived compressed file formats).

Open EPUB Files by Converting the EPUB file to PDF

You can also convert an EPUB file into a PDF and open it on your PC. Some programs that can convert EPUB to PDF or other eBook reading formats include Calibre, Zamzar, and Online eBook Converter.

Select your preferred format, which can be PDF, MOBI, LIT, TXT, FB2, AZW, or PDB, among others.

Note: You cannot transfer or convert eBooks with DRM protection into other file formats.

Select the PDF file to open, and choose the app you want to use to open the PDF and read the eBook.

Read Digital Books on Your PC

Whether you downloaded or received a file in EPUB format, knowing how to open it on Windows will save you time and a whole lot of frustration. 

How To Open Heic Files In Windows 10

The move from JPG might seem like a strange one, but it has significant benefits. File sizes are typically much smaller without sacrificing quality, while multiple photos (from a burst sequence of something similar) can be stored in a single file.

Android has stuck with JPG, but you can save in HEIC if you’d prefer. If you’re looking for ways to free up storage space, it’s worth considering.

The Photos app on Windows 11 is compatible with HEIC (and HEIF) files, but it’s not always as straightforward on Windows 10. While technically supported, there are a few steps you may need to take before opening or saving them. Here’s everything you need to know.

How to open HEIC files in Windows 10

Next, you need to install the support utility, available on the Microsoft Store as HEIF Image Extensions. This should be free, but it may already be installed on your device.

See more on opening H.265 videos in our separate guide on how to install HEVC codecs on Windows.

How to convert HEIC to JPG

That method is fine if you want to convert the occasional photo, but there are far easier ways of batch converting a lot of photos to JPG

There are quite a few free apps including

If you want more control, such as the level of JPG compression, file renaming and more, HEIC to JPG – The HEIC Image Converter is a great free option.

Below is iMazing Converter, a small app that lets you drag and drop files and choose whether to convert them to JPG or PNG, as well as the output folder.

Apple users can easily convert an HEIC file to JPEG on a Mac.

How to make your iPhone transfer photos as JPG instead of HEIC

If you don’t want to convert files in Windows, then there are various way to share those photos so they get converted to JPG automatically. To share photos, open the Photos app, tap Select at the top, pick the ones you want and then tap the share icon (bottom left) and choose an app or method to share them. 

You could send them via email or upload to a cloud storage service. It’s a bad idea to share via WhatsApp or other social media, as the photos are invariably reduced in quality.

When you choose to share via Mail you’ll get to pick which size – always go for the original (maximum) file size if you want to retain the best quality.

And if you choose a cloud provider such as Google Drive, you should see that the files will be saved with a .jpeg extension.

Anyron Copeman / Foundry

How to stop your iPhone saving photos in HEIC

Open the Settings app and scroll down until you see Camera. Tap it and then tap Formats (which is right at the top).

You’ll see this screen, and you need to change it from High Efficiency to Most Compatible:

Anyron Copeman / Foundry

It’s a similar story for videos, with H.265 files requiring a codec in order to open in certain apps. Learn more in our guide on how to install HEVC codecs on Windows.

What is a HEIC file?

If you copy photos from a recent iPhone or iPad to a PC or laptop, you may see a lot of strange HEIC files:

The format was developed by MPEG – not Apple – so it’s not Apple trying to do its own proprietary thing. In fact, HEIC is slowly usurping the established (but old and flawed) JPG format.

Images with a .heic are compressed using HEVC, which is the high-efficiency video codec. These images are then stored in a HEIF file, which stands for High Efficiency File Format

There are lots of benefits of using HEIF files, even if it is a bit confusing that the file is called HEIC rather than HEIF.

Here’s why HEIC files are great:

Around half the size of JPG for the same quality

Can store multiple photos in one file (ideal for Live Photos and bursts)

Supports transparency like GIF files

Can store image edits, such as cropping and rotating so you can undo them

Support 16-bit colour vs JPG’s 8-bit

You may also be interested in our guides to taking great photos underwater or at Christmas using an iPhone.

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