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Create your own Audiobook from any PDF using Python

  Are you bored of reading pdfs, soft copies, books? Then here's a solution, you can convert it into an Audiobook and Listen. Let's get Started First, we need to install the necessary libraries. We require two libraries to build Audiobooks using Python. 1. PyPDF2 A Pure-Python library built as a PDF toolkit. It is capable of extracting document information splitting documents page by page merging documents page by page cropping pages merging multiple pages into a single page encrypting and decrypting PDF files and more! So open your terminal and run the following command.  pip install PyPDF2 2. Pyttsx3 pyttsx3 is a text-to-speech conversion library in Python. Unlike alternative libraries, it works offline and is compatible with both Python 2 and 3. So open your terminal and run the following command. pip install pyttsx3 Now here the code for it. import pyttsx3 import PyPDF2 book_name = open('harrypotter.pdf','rb') pdf_reader = PyPDF2.PdfFileReader(book_name) pa
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What is ARP Monitor?

ARP MONITOR It’s FREE  tool like arpwatch but for Windows OS. This tool can help with ARP activity monitoring in computer networks.   It allows you to catch intruders on the network, track MAC-IP bundles, detect scans, monitor real-time ARP protocol activity in the segment, and much more. This windows software monitors ethernet activity like unix apwatch and keeps a database of ethernet/ip address pairings. new activity - This ethernet/ip address pair has been used for the first time. new station - The ethernet address has not been seen before. flip flop - The ethernet address has changed from the most recently seen address to the second most recently seen address. changed ethernet address - The host switched to a new ethernet address.  Download :   Mirror: http://www.binaryplant.com/binaryplant-arp-monitor.exe

Top 5 Python IDEs For Data Science

Spyder Spyder is free and it’s available for Windows, MacOS and major Linux distributions, like Debian, Fedora, and Ubuntu. You can install Spyder by  downloading Anaconda  on Continuum’s website. PyCharm PyCharm is perfect for those who already have experience using another JetBrain’s IDE, due to the fact that the interface and features be similar. Also, if you like IPython or Anaconda distribution, it’s nice for you to know that PyCharm integrates its tools and libraries such as NumPy and Matplotlib, allowing you work with array viewers and interactive plots. You can download the Lightweight PyCharm IDE for Python and scientific development for free  here . It’s available for free for Windows, macOS, and Linux. Jupyter Notebook Jupyter Notebook was born out of IPython in 2014. It is a web application based on the server-client structure, and it allows you to create and manipulate notebook documents - or just “notebooks”. Jupyter

SolarCity’s Gigafactory

A $750 million solar facility in Buffalo will produce a gigawatt of high-efficiency solar panels per year and make the technology far more attractive to homeowners. In an industrial park near the shore of Lake Erie, hard by the Buffalo River, the future of the solar power industry is under construction. SolarCity’s sprawling Buffalo factory, built and paid for by the state of New York, is nearing completion and will soon begin producing some of the most efficient solar panels available commercially. Capable of making 10,000 solar panels a day, or one gigawatt of solar capacity a year, it will be the largest solar manufacturing plant in North America and one of the biggest in the world. When production begins, SolarCity, already the leading installer of residential solar panels in the United States, will become a vertically integrated manufacturer and provider—doing everything from making the solar cells to putting them on rooftops. At a time when conventional silicon-based

Immune Engineering Genetically engineered immune cells are saving the lives of cancer patients. That may be just the start.

The doctors looking at Layla Richards saw a little girl with leukemia bubbling in her veins. She’d had bags and bags of chemotherapy and a bone marrow transplant. But the cancer still thrived. By last June, the 12-month-old was desperately ill. Her parents begged—wasn’t there anything? There was. In a freezer at her hospital—Great Ormond Street, in London—sat a vial of white blood cells. The cells had been genetically altered to hunt and destroy leukemia, but the hospital hadn’t yet sought permission to test them. They were the most extensively engineered cells ever proposed as a therapy, with a total of four genetic changes, two of them introduced by the new technique of genome editing. Soon a doctor from Great Ormond was on the phone to Cellectis, a biotechnology company with French roots that is now located on the East Side of Manhattan. The company owned the cancer treatment, which it had devised using a gene-editing method called TALENs, a way of making cuts and fixes

Apple Just Gave a Private Demo of Its Latest Self-Driving Tech

At a private workshop held this week for AI researchers, Apple researchers gave a rare glimpse of some machine-learning technology they’re building for self-driving cars. Speaking to an exclusive audience of researchers in the field, Ruslan Salakhutdinov, Apple’s director of AI, discussed several projects apparently related to automated driving. The technical talks were given Friday during the Neural Information Processing Systems conference, the largest AI-focused academic event of the year, which was held in Long Beach, California. The event attracted thousands of researchers, including many from rival tech companies. The talks were designed to showcase Apple’s technical prowess and to woo potential recruits. Salakhutdinov, who joined Apple in 2016 but still holds a post as a professor at Carnegie Mellon University, showed off a project previously disclosed in a paper posted online by Apple last month. This project trained a system to recognize pedestrians and other vehicl

A Wannabe Tesla Rival Appears to Be on a Knife Edge

The electric-car startup Faraday Future is reported to be in dire financial straits. Its FF91 car is billed to have a 378-mile range, 1,050 horsepower, and a 0-to-60 time of 2.39 seconds—but reports suggest that there may never be enough money to actually build it. Rumors of financial instability at Faraday Future have been swirling for over 12 months now. This time last year, we explained that the company was burning cash and running up debts. It didn’t help that the company was having employees work on a self-driving car project at sister firm LeEco, which was founded by Chinese billionaire Jia Yueting (usually known as YT). But a new investigation by the Verge is even more damning. It argues that grandiose future visions, with their resulting excessive hiring and lavish spending on facilities, are taking a big toll on the startup. From the report: Four high-level former employees with knowledge of the company’s finances told the Verge as recently as early December that, barring a