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Definition of Python xlrd What is Python xlrd?

Furthermore, the user may be required to navigate through several sheets and extract data based on certain criteria.

The attributes can be used to determine rows in the sheet. By default, all rows are padded with same size, but if we want to skip the empty columns at the end, use the ragged rows parameter when calling the open workbook function.

We need to install xlrd package by using the pip command. Without installing the xlrd package we cannot use the same in our code. It is very useful and important in python.

How to Use Python xlrd?

We need to install xlrd package by using the pip command. Xlrd module is not coming by default at the time of installing the python package in our system.

1. In the first step, we are installing the xlrd module by using the pip command. We can install the xlrd module in any operating system on which python is installed. In the below example, we are installing the xlrd module on UNIX systems.

Code:

pip install xlrd  

Output:

2. After installing all the modules we are opening the python shell by using the python3 command.

Code:

python3

Output:

3. After login into the python shell in this step, we are checking xlrd package is installed in our system. To use the xlrd module in our program we need to import the same in our code by using the import keyword. Without importing the xlrd module we cannot use the same in our code.

Code:

import xlrd print (xlrd)

Output:

Code:

import xlrd file_loc = ("test.xlsx") py_xl = xlrd.open_workbook (file_loc) py_sheet = py_xl.sheet_by_index (0) print (py_sheet.cell_value (0, 0))

Output:

How to Install XLRD in Python?

We are installing by using the pip command. In the below example, we are installing it on the windows system as follows. The below steps show how to install the xlrd module on the windows system.

1. In the first step, we are installing the xlrd module by using the pip command. We are installing the xlrd version as xlrd==1.2.0

Code:

pip install xlrd==1.2.0

Output:

2. After installing the modules, we are opening the python shell by using the python command to check xlrd package is installed on our system.

Code:

python

Output:

3. After login into the python shell in this step, we are checking xlrd package is installed in our windows system.

Code:

import xlrd print (xlrd)

Output:

In the below example, we are installing it on the Ubuntu system as follows. The below steps shows how to install the xlrd module on the ubuntu system.

1. In the first step, we are installing the xlrd module by using the pip command. We are installing the xlrd version as 2.0.1.

Code:

pip install xlrd

Output:

2. After installing the xlrd modules we are opening the python shell by using the python3 command as follows.

Code:

python3

Output:

After login into the python shell in this step, we are checking xlrd package is installed in our Ubuntu system.

Code:

import xlrd

Output:

Python xlrd in Excel Files

We can also extract the data from an excel file by using python xlrd modules. The below example shows extracting the number of rows from the excel file as follows. In the below example, we are using the excel file name test.xlsx.

Code:

import xlrd py_file = ("test.xlsx") py_xlrd = xlrd.open_workbook (py_file) py_sheet = py_xlrd.sheet_by_index (0) py_sheet.cell_value (0, 0) print (py_sheet.nrows)

Output:

The below example shows extract of the number of columns from the excel file as follows. In the below example, we are using the excel file name test.xlsx.

Code:

import xlrd py_file = ("test.xlsx") py_xlrd = xlrd.open_workbook (py_file) py_sheet = py_xlrd.sheet_by_index (0) py_sheet.cell_value (0, 0) print (py_sheet.ncols)

Output:

The below example shows extract all column names from the excel file as follows.

Code:

import xlrd py_file = ("test.xlsx") py_xlrd = xlrd.open_workbook (py_file) py_sheet = py_xlrd.sheet_by_index (0) py_sheet.cell_value (0, 0) for i in range (py_sheet.ncols): print (py_sheet.cell_value(0, i))

Output:

The below example shows extract the first column from the excel file as follows.

Code:

import xlrd py_file = ("test.xlsx") py_xlrd = xlrd.open_workbook(py_file) py_sheet = py_xlrd.sheet_by_index(0) py_sheet.cell_value(0, 0) for i in range(py_sheet.nrows): print(py_sheet.cell_value(i, 0))

Output:

Conclusion Recommended Article

This is a guide to Python xlrd. Here we discuss the definition, What is python xlrd, How to use python xlrd, examples along with code implementation and output. You may also have a look at the following articles to learn more –

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How To Use The Subprocess Module In Python?

Understanding Process –

When you code and execute a program on Windows, MAC or Linux, your Operating System creates a process(single).It uses system resources like CPU, RAM, Disk space and also data structures in the operating system’s kernel. A process is isolated from other processes—it can’t see what other processes are doing or interfere with them.

Note: This code has to be run on Linux like sytems. When executed on windows might throw exceptions.

Goals of Operating System –

The main twin goals of OS are to spread the work of the process fairly and be responsive to the user. These are acheived by keeping a track of all the running processes, giving each a little time to run and then switching to another. You can see the state of your processes with graphical interfaces such as the Task Manager on Windows-based computers, the Mac’s Activity Monitor (macOS),or the top command in Linux.

Being a programmer, we can access the process data from our own program. But How? Simply by using standard library OS module. I will show you few examples.

# This script works only on linux/unix import os print(f" *** Process ID - {os.getpid()}") print(f" *** My User ID - {os.getuid()} and My Group ID - {os.getgid()} ") print(f" *** Current Working Directory is - {os.getcwd()}")

Running and spinning up a new system process can be quite useful to developers and system administrators who want to automate specific operating system tasks.

Python has a subprocess module, which can spin a new processes, send and receive information from the processes, and also handle error and return codes.

The official Python documentation recommends the subprocess module for accessing system commands.

The subprocess call() function waits for the called command to finish reading the output. We will see couple of examples below to extract the systems disk space information.

Below code will execute df -h command and captures the information. The output is then captured to a pandas dataframe for any further processing.

Example # python code to create a subprocess for extracting disk space on linux using df -h from io import StringIO import pandas as pd import subprocess import ast diskspace = "df" diskspace_arg = "-h" sp = subprocess.Popen([diskspace,diskspace_arg], stdout=subprocess.PIPE) df = pd.read_csv(b, sep=",") Filesystem Size Used Avail Use% Mounted on 0 devtmpfs 7.8G 0 7.8G 0% /dev 1 tmpfs 7.8G 0 7.8G 0% /dev/shm 2 tmpfs 7.8G 33M 7.8G 1% /run 3 tmpfs 7.8G 0 7.8G 0% /sys/fs/... 4 /dev/xvda2 20G 16G 4.3G 79% / 5 /dev/xvdb 246G 16G 218G 7% /tdm 6 tmpfs 1.6G 0 1.6G 0% /run/use...

To get a more detailed output with subprocess see below code.

Example from io import StringIO import pandas as pd import subprocess def uname_func(): uname = "uname" uname_arg = "-a" user_info = subprocess.call([uname, uname_arg]) return user_info def disk_func(): diskspace = "pydf" diskspace_arg = "-a" discinfo_df = diskspace stdout = subprocess.check_output([diskspace, diskspace_arg]) return stdout def main(): userinfo = uname_func() discinfo = disk_func() print("Displaying values now... ") # print(stdout.decode('utf-8')) print(discinfo.decode('utf-8')) print(type(discinfo.decode('utf-8'))) content = discinfo.decode('utf-8').split("n") print(content) main() Output Linux ip-00-000-00-000.xxxxxxxxxxxx 0.00.0-000.el7.x86_64 #1 SMP Tue Aug 18 14:50:17 EDT 2023 x86_64 x86_64 x86_64 GNU/Linux Displaying values now... Filesystem Size Used Avail Use% Mounted on /dev/xvda2 20G 16G 4318M 78.9 [#####.] / devtmpfs 7918M 0 7918M 0.0 [......] /dev hugetlbfs 0 0 0 - [......] /dev/hugepages mqueue 0 0 0 - [......] /dev/mqueue devpts 0 0 0 - [......] /dev/pts tmpfs 7942M 0 7942M 0.0 [......] /dev/shm proc 0 0 0 - [......] /proc binfmt_misc 0 0 0 - [......] /proc/sys/fs/binfmt_misc tmpfs 7942M 32M 7909M 0.4 [......] /run tmpfs 1588M 0 1588M 0.0 [......] /run/user/1000 sysfs 0 0 0 - [......] /sys tmpfs 7942M 0 7942M 0.0 [......] /sys/fs/cgroup cgroup 0 0 0 - [......] /sys/fs/cgroup/blkio cgroup 0 0 0 - [......] /sys/fs/cgroup/cpu,cpuacct cgroup 0 0 0 - [......] /sys/fs/cgroup/cpuset cgroup 0 0 0 - [......] /sys/fs/cgroup/devices cgroup 0 0 0 - [......] /sys/fs/cgroup/freezer cgroup 0 0 0 - [......] /sys/fs/cgroup/hugetlb cgroup 0 0 0 - [......] /sys/fs/cgroup/memory cgroup 0 0 0 - [......] /sys/fs/cgroup/net_cls,net_prio cgroup 0 0 0 - [......] /sys/fs/cgroup/perf_event cgroup 0 0 0 - [......] /sys/fs/cgroup/pids cgroup 0 0 0 - [......] /sys/fs/cgroup/systemd pstore 0 0 0 - [......] /sys/fs/pstore configfs 0 0 0 - [......] /sys/kernel/config debugfs 0 0 0 - [......] /sys/kernel/debug securityfs 0 0 0 - [......] /sys/kernel/security /dev/xvdb 246G 16G 218G 6.4 [......] /tdm

How To Become A Python Django Developer In 2023?

Here are the top tips to become a Python Django Web Developer in the 2023 job market.

While making a website in

The Role of Django in Web Development

Among

Here are the top ways one can become a successful Python Django developer in 2023: Open source your work

Put side projects up on Github or another platform. Even if they seem basic, some code to review is better than no code. This is also the case if you work for a company and can’t share your day-to-day work publicly. Employers want to see examples of your work. The best interviews do not involve whiteboard questions and cultural hypotheticals; they are real-world discussions about code, architecture decisions, and so on. If you can get to the point where your interviews are about your actual work, you’ve won. This mirrors what a real-life developer does all day long.  

Have a personal site

As a developer, you should be able to configure a personal site that comes up first when a company Googles your name. Use a static site generator like Jekyll or even SquareSpace if you’re feeling lazy, but have something. Have an up-to-date About page that mirrors what you’re saying in your cover letters and resume. And write at least a few posts about what you’re learning, no matter where you are in your journey.  

Go to meetups

There are annual Django conferences in the US, Europe, Australia, and now Africa. There are also local Django meetups in dozens of major cities worldwide. Volunteer to give a talk or just attend. You’ll quickly find the community of Django employers and contributors is quite small.  

Contribute to Django

All open-source projects rely on contributors, including Django and Django REST Framework. There are many open tickets that you can tackle, some complex but often small typos in the documentation or minor things that simply need a little time and care. Tackle something on the easier side, submit your first pull request, and go from there. If you are looking for a Django job and can talk about actually contributing to Django itself, that puts you top of the queue in my book, regardless of how far along you are in your programming career.  

Be Confident in Your Skill

The technical interviewing process is grueling and demoralizing for almost everyone. Try not to let “imposter syndrome” overwhelm you in the process. Everyone has their weak spots, even the creators of Django itself! The important thing is, to be honest about what you know and be able to effectively ask for help, in the interview, and on the job. There are a number of good resources available from the Django forum to the Django-users Google group for asking questions.  

More Trending Stories 

While making a website in Python , it is mandatory to pick up a proper framework. Django is a high-level Python web framework that enables the rapid development of secure and maintainable websites. Built by experienced developers, Django takes care of much of the hassle of web development , so you can focus on writing your app without needing to reinvent the wheel. It is free and open-source, has a thriving and active community, great documentation, and many options for free and paid-for support. Python and Django are intertwined but not the same. Python is a programming language that’s used for many different applications like artificial intelligence, machine learning, desktop apps, etc. On the other hand, Django is a Python framework for full-stack web application development and server development.Among Python frameworks, Django is often regarded as the best framework for web application development. It was even included in the list of most loved frameworks in the 2023 Stack Overflow Developer Survey. According to the Django Software Foundation, Django was “invented to meet fast-moving newsroom deadlines, while satisfying the tough requirements of experienced web developers.” The framework was invented by Adrian Holovaty and Simon Willison, developers who worked at the news website World Online. At the time, Adrian and Simon were writing in PHP. But since the World Online website required quick updating, it became hard to meet deadlines. Adrian and Simon needed something so they could build the website quickly. That was when they decided to move to Python. Later on, they started working on Django to make coding even simpler and more effective. In 2005, Django was already publicly released as an open-source project. Over the years, Django has carved a niche space for itself in the industry, and rightly so. More and more companies are betting on Django thanks to its simplicity, reliability, scalability, and flexibility. In fact, Django is the secret ingredient behind many successful apps, including Instagram, Spotify, YouTube, Disqus, Bitbucket, Dropbox, Mozilla, Eventbrite, and Prezi. This is why there is a high demand for Python Django web developers in the chúng tôi side projects up on Github or another platform. Even if they seem basic, some code to review is better than no code. This is also the case if you work for a company and can’t share your day-to-day work publicly. Employers want to see examples of your work. The best interviews do not involve whiteboard questions and cultural hypotheticals; they are real-world discussions about code, architecture decisions, and so on. If you can get to the point where your interviews are about your actual work, you’ve won. This mirrors what a real-life developer does all day chúng tôi a developer, you should be able to configure a personal site that comes up first when a company Googles your name. Use a static site generator like Jekyll or even SquareSpace if you’re feeling lazy, but have something. Have an up-to-date About page that mirrors what you’re saying in your cover letters and resume. And write at least a few posts about what you’re learning, no matter where you are in your journey.There are annual Django conferences in the US, Europe, Australia, and now Africa. There are also local Django meetups in dozens of major cities worldwide. Volunteer to give a talk or just attend. You’ll quickly find the community of Django employers and contributors is quite chúng tôi open-source projects rely on contributors, including Django and Django REST Framework. There are many open tickets that you can tackle, some complex but often small typos in the documentation or minor things that simply need a little time and care. Tackle something on the easier side, submit your first pull request, and go from there. If you are looking for a Django job and can talk about actually contributing to Django itself, that puts you top of the queue in my book, regardless of how far along you are in your programming chúng tôi technical interviewing process is grueling and demoralizing for almost everyone. Try not to let “imposter syndrome” overwhelm you in the process. Everyone has their weak spots, even the creators of Django itself! The important thing is, to be honest about what you know and be able to effectively ask for help, in the interview, and on the job. There are a number of good resources available from the Django forum to the Django-users Google group for asking questions.

How To Use Offline Maps

How To Use Offline Maps

Save Google Maps Directions For Offline Use

Use Offline Maps On Apple Devices:

Step 1. Open Google Maps App on your iOS smartphone or on tablet.

Step 3. Search for the destination place, like Goa or Maldives to get an idea.

Step 4. Tap the name or address of the place at the bottom of the page on the white bar. If you have searched for a particular place like a restaurant or hotel, tap More.

Useful Tip:

As you can see, there is just 1 GB space left on my phone and I was running low on disk space, I downloaded the best iPhone backup App and it instantly backed up 3 Gigs of data from my iPhone within 5 minutes.

App Highlights:

It Supports All Major Operating Systems And Platforms

Loaded With Best Safety Features

You Can Control Your Audience By Smart Sharing of Files

One Account Can Be Accessed on Multiple Device

Data Encryption For Complete Security

All File Types Are Supported

To Use Offline Maps On Android Devices:

Read here: How To Use Google Maps Offline On Android

Save offline maps on an SD card

By default, offline maps get downloaded on your device’s internal storage, however, you can download them on an external SD card as well. If your device is loaded with Android 6.0 or higher, you only get the option to save an area onto your SD card that is configured for portable storage. Here are steps to configure your SD card.

Step 1. Insert an SD card on your Android phone or tablet.

Step 2. Open the Google Maps App.

Step 4. Tap ‘Settings’ on the top right.

Things To Keep In Mind:

It won’t give you transit, bicycling, or walking directions however You can get driving directions offline.

It won’t help you with traffic info, alternate routes, or lane guidance.

You can use ‘Wi-Fi only’ mode to save roaming data and battery life. Using this mode, if you’re not connected to a Wi-Fi, Google Maps will only use the data from the offline maps which you’ve downloaded earlier.

Downloading offline maps is restricted in some of the locations due to prescribed limitations, address formats, language support, or other reasons.

Also Read: A Guide on How To Use Google Maps App?

Wrapping up

Using Google Map’s offline mode, you can use turn-by-turn driving directions and start using GPS offline navigation process as you normally use. The only difference you’ll notice is live traffic conditions and updates which won’t be available. Currently, Google Map’s offline navigation for walking, biking or transit directions are not supported, but they are working on more offline features. So now use GPS offline navigation without internet on Google Maps and stay on the right path with offline maps on Android or iOS devices.

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How To Use Musicfy Ai

Musicfy is an AI-powered music tool that revolutionizes music production and creativity. With a wide range of features and an intuitive interface, Musicfy offers musicians and music enthusiasts an opportunity to explore new possibilities in their music-making process. In this article, we will delve into the key features of Musicfy and provide a step-by-step guide on how to use Musicfy AI effectively.

Must See: How to Create Animated AI Video in 2 Minutes

One of the standout features of Musicfy is its AI voice conversion capability. With a collection of copyright-free vocals, Musicfy allows users to give their songs a fresh sound. By exploring different vocal styles, musicians can apply unique vocal elements to their tracks, adding depth and character. Moreover, Musicfy goes a step further by enabling users to create their own AI models. By uploading their vocals to the platform, users can generate AI-generated vocals that closely resemble their own voice, creating a truly personalized musical experience.

Musicfy’s stem splitting technology is a game-changer for remixing and creative purposes. This powerful feature allows users to isolate individual tracks within a song, such as drums, vocals, bass, and more. By manipulating each element independently, musicians can experiment with different arrangements, add their own touch to existing tracks, or create entirely new compositions. Stem splitters give users unprecedented control over their music, enabling them to explore endless possibilities.

In the fast-paced world of music production, time is of the essence. Musicfy understands this and aims to streamline the music-making journey. With its efficient tools and features, Musicfy reduces the need for lengthy recording sessions and simplifies the music creation process. Whether you’re a solo artist or part of a collaborative project, Musicfy facilitates seamless collaboration and ensures an alignment of artistic vision, saving valuable time and effort.

Musicfy empowers users to create their own covers of their favorite songs in just seconds. By providing a vast music library of popular songs from various artists, Musicfy gives musicians the opportunity to put their own twist on well-known tracks. Adding a touch of AI, users can customize their covers by incorporating unique vocal styles or cloning their own voice. This feature allows music lovers to discover and listen to AI covers created by others, fostering a vibrant community of creativity.

Also Interesting: How To Create NSFW AI Art?

To harness the full potential of Musicfy AI, follow these simple steps:

Go to the Musicfy website: Visit the Musicfy website and sign up for an account if you haven’t already done so. Registration is quick and easy, allowing you to access all the features Musicfy has to offer.

Explore the music library: Browse through the extensive music library to find your favorite songs or upload your own audio file. Musicfy provides a diverse collection of popular tracks to inspire your creativity.

Personalize your music: Musicfy allows you to personalize your music by creating your own AI models. By uploading your vocals to the platform, you can generate AI-generated vocals that closely resemble your own voice. This feature adds a personal touch to your music and opens up endless possibilities for creativity. You can create original songs or reimagine existing tracks with your own unique vocal style.

Collaborate and share your music: Musicfy provides a collaborative platform where you can connect with other musicians and music enthusiasts. You can collaborate on projects, share ideas, and even create music together in real-time. The platform facilitates seamless collaboration by allowing multiple users to work on the same project simultaneously. Once you’re satisfied with your music, you can easily share it with others through social media platforms or directly within the Musicfy community.

Get inspired: Musicfy not only offers powerful AI tools but also serves as a source of inspiration. Explore the AI covers and remixes created by other users. Discover new vocal styles, arrangements, and interpretations of your favorite songs. Engage with the Musicfy community, share feedback, and receive valuable insights from fellow musicians. By immersing yourself in this creative ecosystem, you’ll constantly find new ideas to fuel your own musical journey.

Keep evolving: As you continue using Musicfy, keep an eye out for updates and new features. The Musicfy team is dedicated to enhancing the platform and introducing innovative tools to support your music production process. Stay connected with the Musicfy community and participate in discussions and feedback sessions. Your input can help shape the future of Musicfy and ensure it meets the evolving needs of musicians worldwide.

In conclusion, Musicfy AI is a powerful tool that empowers musicians to enhance their music production process and explore new creative horizons. With features like AI voice conversion, stem splitters, efficient music creation, and instant covers/remixes, Musicfy provides a user-friendly platform for musicians to experiment, collaborate, and share their music. By following the steps outlined above and immersing yourself in the Musicfy community, you can unlock the full potential of this AI-powered music tool and take your music to new heights. Get ready to unleash your creativity and embark on an exciting musical journey with Musicfy AI.

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How To Use Percentile Formula?

PERCENTILE Formula in Excel

The Percentile is the value for which the percentage of data is forged.

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PERCENTILE Formula in Excel calculates the selected array’s specific percentile value. It returns the Kth value. The percentile formula in Excel can be used to find what percentage of values fall under the Kth percentile value.

How to Use PERCENTILE Formula in Excel?

Using the PERCENTILE Formula in Excel is easy and convenient when calculating n number of percentile for given data. Let’s take some examples to understand the usage of the PERCENTILE Formula in Excel.

Where,

Array = Range of data for which we need to calculate percentile,

k = Percentage value at which we need percentile.

PERCENTILE Formula in Excel -Example #1

We have sample data as shown below, which has a quality percentage of some workers. Where the quality ranges from 1% to nearly 90%, now, with the help of percentile, we will calculate how much percentage of data is marked in which percentile category.

As we can see in the above screenshot, we have a range of qualities for which we need to file the percentile value at any point. Now, go to the cell where we need to see the calculated percentile and select Insert Function near the formula bar, as shown below.

Note: As recommended by Microsoft, we can use chúng tôi in place of PERCENTILE function. Which has the same syntax and will give a more accurate result. It is applicable for Excel 2013 and higher versions.

As we can see in the below screenshot, the calculated 40th Percentile is coming as 28.4, which means 28.4% of the selected values are under the 40 Percentile range.

PERCENTILE Formula in Excel -Example #2

There is another method by which we can find the Percentile value at any given percentage range. And in this example, we will see the chúng tôi function, which Microsoft recommends in place of PERCENTILE with the same syntax but with a more accurate result. For this, we will consider the same data set we saw in Example 1.

Now go to the cell where we need to see the output and type the “=” sign (Equal) to edit that cell’s edit mode. This will enable all the inbuilt functions in Excel. From here, we search for chúng tôi or PERCENTILE. As we can see in the below screenshot, with the same name Percentile, we got 5 functions. Now select chúng tôi which is the substitute for the PERCENTILE function.

Even if we put the cursor on PERCENTILE, INC, it will show us the same significance, reflecting the same for the PERCENTILE function once we select the chúng tôi we will see the syntax of it, which is the same as that of the PERCENTILE function, as shown below.

Now for Array, select the complete set of data. Here we are setting the data from cell A2 to A31. And for the K value, let’s consider the 70th percentile; for that, enter 0.7 in a value of K and press enter to see the result.

If we enter a whole value in place of a decimal for the K value, we will get an error message, as shown below.

This is the numerical error, which happens when we consider the incorrect numeric reference. And if we enter a text in place of the decimal value, we will get an error message, as shown below.

This alphabetical text error happens when we select an incorrect argument as text. We need to select the percentage in decimal numerical format for the K value, which we have seen in the above examples.

Also, keep the obtained percentile value in its original format. If we change its format into a percentage, it will add an additional 100 digits along with the percentage sign, and the whole purpose of the percentile will be changed, as demonstrated below.

Things to Remember

K value should always be in decimal so that it will get converted into a percentage in the formula itself.

The obtained percentile value will already be in Percentage. So it is not recommended to change the value into a percentage. You may add more percentages to the obtained percentile value if you do.

Percentage and Percentile are both different. Percentile is the value for which the percentage of data is forged, whereas Percentage is completing anything.

Recommended Articles

This has been a guide to PERCENTILE Formula in Excel. Here we discussed How to use PERCENTILE Formula in Excel, practical examples, and a downloadable Excel template. You can also go through our other suggested articles–

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