Trending November 2023 # Easily Store And Search For Files In The Cloud With Hopper # Suggested December 2023 # Top 17 Popular

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Virtual storage space is getting really inexpensive these days. There are a lot of services popping up with free space to store your stuff. While some cloud storage services have a desktop application, Hopper is all on the web.

Getting started with Hopper

The signup is one of the simplest of any app I have signed up for. It only asks for an email address and a password. That’s it… no, really, that’s is.

Uploading files to Hopper

When you are logged in, you are ready to start uploading. There is a square on the screen. If you are using Chrome or Firefox, drag the file you’d like to upload into this square.

Searching for a file on Hopper

There is a text bar at the top of the page. When you enter part of the file name, the date of the upload or file type a list of matching files will pull up. As you are typing, the files start to filter out all of the possibilities.

Downloading Files from Hopper

How Hopper different than the other cloud storage option

I think Hopper sets itself apart from the rest with its simplicity. They didn’t try to add in a lot of features. Hopper is simple to upload and simple to search for your files.

Easy sharing of files via a short link is great for anytime you need to send a file to anyone. Copy the link and send it how ever works best for you. Other services offer this too, but with some cloud storage web-apps, it is more difficult to share files this way. They want the person receiving the file to be a user too.


I found Hopper to work better in Firefox than with Chrome. I didn’t see any extensions that would interfere, but for some reason in Chrome, the short links didn’t show up. Other than that one thing, Hopper worked great for me. I like how easy it is to upload and share files with other people. This is a feature I use a lot with Dropbox from my android, but seems to be lacking from the web version of Dropbox.

What cloud storage service do you use and why?

Trevor Dobrygoski

Trevor is a freelance writer covering topics ranging from the Android OS to free web and desktop applications. When he is not writing about mobile productivity, He is coaching and playing the world’s greatest game… Soccer.

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How To Easily Search For Tweets By Date On Twitter

One of Twitter’s best features is also the most difficult to find.

That’s probably because the average user is content with Twitter’s basic search bar.

But you’re here because you’re not satisfied with the basics, are you?

You want to dig deeper. Maybe you want to go back in time and see what was being tweeted about on a specific date.

Or, perhaps you’re curious to uncover everything someone has tweeted about a specific topic.

Twitter has a built-in search function for that.

Its entire archive of public tweets is searchable, making it possible to find anything you’re looking for if you use the right filters.

Want to see what the reactions on Twitter were like when Google launched a major algorithm update? This article will teach you how.

Want to reminisce on your business’s first tweet to see how far you’ve come since then? We’ll go over how to do that as well.

How To Use Twitter’s Advanced Search Feature

You’ll see fields, like in the image below, with options to add dates to your search.

You can add a range of dates, or just one specific date.

Those options include things like:

Words used in tweets.

Exact phrases used in tweets.

Hashtags used in tweets.

Tweets from a specific account.

Accounts mentioned in tweets.

Tweets with links only.

Amount of engagement (i.e., tweets with a minimum number of replies/likes/retweets).

Here are some examples of searches using these filters.

Example: Find Your First Tweets

Longtime Twitter users occasionally find themselves wondering what their first tweets were like and how much engagement they received.

With that said, we’re about to take a trip back in time to look at the first tweets ever published by Search Engine Journal.

First, we must add our Twitter handle in the accounts filter, as shown below.

Next, we’ll add a date filter.

We’ll use the date on our Twitter profile that tells us when we first joined.

Just for fun, we’ll create a date range until the end of the year so we can see all tweets from our first several months on Twitter.

Note: You have to enter a value for the date, month, and year, or else Twitter will disregard the date filter.

Now, the only thing left to do is hit the big “Search” button and see the results.

There it is, folks.

Our first-ever tweet was a news story about an ad partnership between Yahoo and Twitter.

And we received no engagement at all on any of our first tweets.

How times have changed since then.

Example: Find Tweets With Specific Keywords From Specific Accounts

Here’s another example that may be useful.

Let’s say you want to find all tweets from a specific account that contain specific keywords.

You may find yourself wanting to look up what Google has officially stated regarding specific SEO topics.

In this particular example, let’s try to find everything Google’s official Twitter accounts have published regarding core updates.

First, we’ll use the keyword filters.

Consider the ways in which the keywords you’re looking up might be used in tweets.

In this example, our subject might be referred to either as “core update” or “core algorithm update.”

So, we’ll put in “core” and “update” to make sure we catch everything.

Next, we’ll add Google’s official Twitter accounts.

Google has many official accounts, so we’ll only add the ones that are most likely to tweet important information regarding core updates.

From here you can narrow it down even further with engagement and date filters.

We’re going to leave those filters alone for this particular example though.

Here’s what we get after hitting the big “Search” button.

There’s a snapshot of everything tweeted about core updates from Google’s accounts in one place.

Example: Find Your Most Liked Tweets

This can be for your account, or any other public account on Twitter.

Perform your search and Twitter will show you all tweets from an account that meet a threshold for the number of likes.


There are nearly endless combinations of filters you can use to find the exact tweets you need.

You used to have to type in the search operators manually, which required a deep understanding of the way Twitter search works.

Previously, searches by date could be performed by manually adding the “since:” and “until:” operators to your search.

Now, you can simply fill out a form instead of memorizing all the various search commands.

If you’d like to search by date on the mobile app you can still do so the old-fashioned way using the “since:” and “until:” operators.

Want to learn more about the ins and outs of this powerful search feature?

Read: Everything You Need to Know About Twitter Advanced Search.

More Resources:

Featured Image: Lenka Horavova/Shutterstock

Sort And Save Any Html Table Easily With Tabletools For Firefox

As an SEO, web marketer and blogger, I need to process tons of information daily. Very often this information is compiled in a table (I love organizing information in tables myself). Today I am reviewing a great FireFox addon that makes working with HTML tables easy and fun.

TableTools is the FireFox addon that lets you easily sort table, extract information from tables and copy tables. (For some reasons, the addon is not in the official addons directory but I am using it for some quite time and have never had any (security) issues with it).

HTML Table Sorting Options

Just install the addon, navigate to any web page containing an HTML table and try sorting it:

Find “Sort table column as…” in the context menu;

Select the format to sort by:

US time,

European Time;


Number/ Currency;

IP address;



For example, the tool works like a charm on our SEO tools page – if you want to sort any of the feature-comparing tables (by presence / absence of any of the features):

Quoting the developer, sorting options and features include:

Sorts fast and accurate and even faster when reversing sorted column.

Automatically detects date, number, text, currency, IP address and sort them. Auto-detect timestamp (not just date), negative numbers, scientific notations, multiple currencies correctly.

Allows user to specify column data type explicitly through context menu.

Supports multiple tables on same html page.

Works with thead, tbody, th, etc. html tags. Or even nested tables. Allows multi-row header and footer.

Tolerates table colspans, although the end sorting results could be funny looking

Supports various levels of style preserving (row-level, cell-level or table-level (default)). Particularly useful for table rows that are alternatively highlighted (choose ‘row-level’ for it, which is default).

HTML Table Saving Options

Now, besides customizing the page right on the page, the tool also offers quite a few options that make extracting the information from the page much easier. You can:

Copy as tab-delimited text;

Copy as justified tab tab-delimited;

Copy as HTML;

Copy filtered rows as tab-delimited;

Copy filtered rows as justified tab-delimited;

Copy filtered rows as HTML:

Addon Shortcuts

Addon Options

From there you can:

Customize sorting behavior (to sort ascending first);

Set the time format;

Set the keyboard shortcuts;


All in all, the tool is an awesome time-saver and a must-have for people who regularly need to work with web pages (regardless of their profession). Enjoy!

Pypdf2 Library For Working With Pdf Files In Python

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


PDF stands for Portable Document Format. It chúng tôi extension. This type of file is mostly used for sharing purposes. They cannot be modified, thereby preserving the formatting of the file intact. Hence they can be easily shared and downloaded.  They are meant for reading and not editing. They look similar on any device they are opened independent of the hardware, software, and operating system. Hence, they are the most widely used format. It was invented by Adobe. It is now an open standard by International Organization for Standardization (ISO).

In this tutorial, we will learn how to work with PDF files in Python. The following topics will be covered:

How to extract text from a PDF file.

How to rotate pages of a PDF file.

How to extract document information from a PDF file.

How to split pages from a PDF file.

How to merge pages of a PDF file.

How to encrypt PDF files.

How to add a watermark to a PDF file.

Some Common Libraries for PDFs in Python

There are many libraries available freely for working with PDFs:

1. PDFMiner: It is an open-source tool for extracting text from PDF. It is used for performing analysis on the data. It can also be used as a PDF transformer or PDF parser.

2. PDFQuery: It is a lightweight python wrapper around PDFMiner, Ixml, and PyQuery. It is a fast, user-friendly PDF scraping library.

 3. chúng tôi : It is a python wrapper for It converts PDF files into Pandas’ data frame and further all data manipulation operations can be performed on the data frame.

4. Xpdf: It allows conversion of PDFs into text.

5. pdflib: It is an extension of the poppler library with python bindings present in it.

6. Slate: It is a Python package based on the PDFMiner and used for extraction of text from PDF.

7. PyPDF2: It is a python library used for performing major tasks on PDF files such as extracting the document-specific information, merging the PDF files, splitting the pages of a PDF file, adding watermarks to a file, encrypting and decrypting the PDF files, etc. We will use the PyPDF2 library in this tutorial. It is a pure python library so it can run on any platform without any platform-related dependencies on any external libraries.

Installing the PyPDF2 Library

To install PyPDF2, copy the following commands in the command prompt and run:

pip install PyPDF2 Getting the document details

PyPDF2 provides metadata about the PDF document. This can be useful information about the PDF files. Information like the author of the document, title, producer, Subject, etc is available directly.

To extract the above information, run the following code:

from PyPDF2 import PdfFileReader pdf_path=r"C:UsersDellDesktopTesting Tesseractexample.pdf" with open(pdf_path, 'rb') as f: pdf = PdfFileReader(f) information = pdf.getDocumentInfo() number_of_pages = pdf.getNumPages() print(information)

The output of the above code is as follows:

Let us format the output:

print("Author" +': ' + print("Creator" +': ' + information.creator) print("Producer" +': ' + information.producer) Extracting Text from PDF

To extract text, we will read the file and create a PDF object of the file.

# creating a pdf file object pdfFileObject = open(pdf_path, 'rb')

Then we will create a PDFReader class object and pass PDF File Object to it.

# creating a pdf reader object

pdfReader = PyPDF2.PdfFileReader(pdfFileObject)

And Finally, we will extract each page and concatenate the text of each page.

text='' for i in range(0,pdfReader.numPages): # creating a page object pageObj = pdfReader.getPage(i) # extracting text from page text=text+pageObj.extractText() print(text)

The output text is as follows:

Rotating the pages of a PDF 

To rotate a page of a PDF file and save it another file, copy the following code and run it.

pdf_read = PdfFileReader(r"C:UsersDellDesktopstory.pdf") pdf_write = PdfFileWriter() # Rotate page 90 degrees to the right page1 = pdf_read.getPage(0).rotateClockwise(90) pdf_write.addPage(page1) with open(r'C:UsersDellDesktoprotate_pages.pdf', 'wb') as fh: pdf_write.write(fh)

Merging PDF files in Python

We can also merge two or more PDF files using the following commands:

pdf_read = PdfFileReader(r”C:UsersDellDesktopstory.pdf”)

pdf_write = PdfFileWriter() # Rotate page 90 degrees to the right page1 = pdf_read.getPage(0).rotateClockwise(90) pdf_write.addPage(page1) with open(r'C:UsersDellDesktoprotate_pages.pdf', 'wb') as fh: pdf_write.write(fh)

The output PDF is shown below:

Splitting the pages of PDF

We can split a PDF into separate pages and save them again as PDFs.

fname = os.path.splitext(os.path.basename(pdf_path))[0] for page in range(pdf.getNumPages()): pdfwrite = PdfFileWriter() pdfwrite.addPage(pdf.getPage(page)) outputfilename = '{}_page_{}.pdf'.format( fname, page+1) with open(outputfilename, 'wb') as out: pdfwrite.write(out) print('Created: {}'.format(outputfilename)) pdf = PdfFileReader(pdf_path) Encrypting a PDF file

Encryption of a PDF file means adding a password to the file. Each time the file is opened, it prompts to give the password for the file. It allows the content to be password protected. The following popup comes up:

We can use the following code for the same:

for page in range(pdf.getNumPages()): pdfwrite.addPage(pdf.getPage(page)) pdfwrite.encrypt(user_pwd=password, owner_pwd=None, use_128bit=True) with open(outputpdf, 'wb') as fh: pdfwrite.write(fh) Adding a Watermark to the PDF file

To add a watermark to each page of the PDF, copy the following code and run.

originalfile = r"C:UsersDellDesktopTesting Tesseractexample.pdf" watermark = r"C:UsersDellDesktopTesting Tesseractwatermark.pdf" watermarkedfile = r"C:UsersDellDesktopTesting Tesseractwatermarkedfile.pdf" watermark = PdfFileReader(watermark) watermarkpage = watermark.getPage(0) pdf = PdfFileReader(originalfile) pdfwrite = PdfFileWriter() for page in range(pdf.getNumPages()): pdfpage = pdf.getPage(page) pdfpage.mergePage(watermarkpage) pdfwrite.addPage(pdfpage) with open(watermarkedfile, 'wb') as fh: pdfwrite.write(fh)

End Notes

As we have seen above, all the operations that could be thought of in a PDF file can be easily performed in Python using PyPDF2 library. It is purely written in Python. Therefore it is completely platform-independent. It is easy to use and provides great flexibility.

It never goes without saying:

Thanks for reading!

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Easily Save Your Research With Mini Mammoth For Chrome

If you’re a college student or just a student of life, you spend a lot of time researching on the web. I’m a month into my post graduate course, and we haven’t been told to buy a single book yet. Usually the response is “look it up on the Web,” so we do. But the Web is a big place, and it’s easy to lose sight of where you’re going and where you’ve come from.

When you have twenty tabs open that all talk about the same topic you’re trying to figure out, it really helps to have just one bucket where you can drop all the important things so you can figure it out later.

I’ve been on the lookout for one such service, and I found it in Mini Mammoth Chrome extension.

Getting Started

Mini Mammoth is a Chrome extension made by Mammoth, kind of a next generation web clipper tool, like Evernote’s web clipper on steroids. You can actually import your Evernote notebooks to Mammoth quite easily. The free account gives you 5 GB of storage and unlimited boards.

Creating Boards and Saving Research

In Mammoth you can create “Boards” that can hold up any text, links, images or videos. They’re basically notes.

You’ll now see an empty canvas for you to drop stuff in.

This is where the fun starts.

You can do the same for a YouTube video or a link from the URL bar.

Just drag and drop; it’s as easy as that. As long as the Mini Mammoth sidebar is open, it will follow you around no matter which web page you visit. This makes it really easy to just move around tabs while still being able to add information to a board.

Mini to Mammoth

Research On, Researcher

Khamosh Pathak

Khamosh Pathak is a freelance technology writer. He’s always trying out new apps, tools and services. He is platform agnostic. You’ll find an iPhone 5 and a OnePlus One on him at (almost) all times.

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Sign up for all newsletters.

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Use Ffmpeg To Easily Extract Audio From Flv Files

If you’re looking to extract the audio from Flash Video files (FLV format), there are a few options available.  Unfortunately, the choice many of them make for you is to encode the audio stream to a different format.  In some cases this isn’t a problem, but if you’re trying to keep the audio identical to what’s inside the video, then you want something that extracts the audio in one piece.  FFmpeg, a multimedia toolkit for Linux, Mac and Windows, can do this with ease.

The example below will be for Linux, but once you have it installed on Windows or Mac, you can run the same command as shown below.

Table of Contents

Download and Install FFmpeg

First you’ll need to download and install FFmpeg.  Most distributions have FFmpeg in the software repositories, although some support may have been stripped out of it for software patent reasons.  Regardless, for our purposes a fairly plain version of FFmpeg will do.  In Ubuntu, you only need to use the following command in the Terminal:

This command will also install quite a few extra libraries (along with FFmpeg), needed for device, format and filter support.

Extracting Audio From FLV Files

The first thing we need to do is find out exactly what codecs are used in our FLV file.  To do that, open the Terminal (if it isn’t still open), and change to the directory where the FLV file is located.  In our example, the file is called Bohemian_Rhapsody.flv and it is located on the Desktop.  So the command to type would be:

This moves the Terminal program into the same directory (the Desktop in this case), so all of our commands will be active there.  This is important because if you tell a program (like FFmpeg) to act on a file, only the file isn’t where the Terminal is “looking” then you will get errors.

Now that we’ve used cd to change directory to the Desktop, we need to type the following command:

Note: if you’re trying this along with the tutorial, substitute the name of your file each time you see it used in the commands.

The above command is a bit of a hack, and you’ll get errors, but don’t worry.  What we’ve actually told ffmpeg is that Bohemian_Rhapsody.flv is the input file.  That’s what the “-i” tells ffmpeg.

When we hit Enter after the command, we haven’t told ffmpeg exactly what to do with the file, so it spits out an error.  No biggie.  Just ignore it.  Because along with the error, it also gives us information about the file.  The part we’re interested in will look something like this:

The above information tells us the following things.  In order, it tells us that the stream is encoded using the AAC encoder, that it has a frequency of 44100 Hz (the correct sampling rate for burning to CD), that it is stereo, uses 16-bit samples, and has a bitrate of 107 kb/s.  For extracting purposes, we’re most interested that the file has AAC audio.  Knowing this, all we need to do is type the following command:

Here’s what the different parts of the previous command do:

Bohemian_Rhapsody.m4a – name of the output file

After typing the previous command, only a second or so should go by, and you should notice a new file on your Desktop, named Bohemian_Rhapsody.m4a, which will contain nothing but the original audio track from the original FLV file.  Just open it up in your favorite media player and give a listen to make sure everything is as it should be.

It’s that simple.  Of course, FFmpeg has many, many other options available.  You can transcode the audio to a different format, for uploading to a cell phone, MP3 player, or WAV file.  You can manipulate the video from the original FLV if you want, fool around with the bitrate, sample rate and number of channels.

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