Most of the talk about renewable energy is aimed at electricity production. However, most of the energy we need is heat, which solar panels and wind turbines cannot produce efficiently. To power industrial processes like the making of chemicals, the smelting of metals or the production of microchips, we need a renewable source of thermal energy. Direct use of solar energy can be the solution, and it creates the possibility to produce renewable energy plants using only renewable energy plants, paving the way for a truly sustainable industrial civilization.

In order to convert text strings to number format, there are two possibilities

• Use the Find & Replace function
• Use the VALUE function.

Using the Find & Replace Function

• Select the cell range which contains text strings
• Choose the Edit menu then the Find & Replace… submenu
• In the Find & Replace window, enter ^[0-9\-] in the Search for field
• In the Replace with field, enter &
• Select the Regular expressions checkbox
• Set the Search in listbox to Values
• Click Replace All

Using the VALUE Function

The function =VALUE(.) returns the numerical value of a string.

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Are you sick of all those colorful and chaotic launchers?
Did Icons, App Drawer and Dock bother you enough?
Do you miss those times when you could do whatever you wanted with a simple command?
Then, T-UI Launcher and its Linux-like CLI (Command Line Interface) is exactly what you need.

Da Propp a Campbell-Vogler, passando attraverso le 12 tappe, gli archetipi e i generi letterari.

Tutanota is the secure email service, built in Germany. Use encrypted emails on all devices with our open source email client, mobile apps & desktop clients.

Is there a way to conveniently define a C-like structure in Python? I'm tired of writing stuff like:

class MyStruct():
    def __init__(self, field1, field2, field3):
        self.field1 = field1
        self.field2 = field2
        self.field3 = field3

Build apps with radically less overhead and cost.

Serverless computing is transforming traditional software development. These open source platforms will help you get started.

PyChess is a gtk chess client, originally developed for GNOME, but running well under all other linux desktops. (Which we know of, at least). PyChess is 100% python code, from the top of the UI to the bottom of the chess engine.

CLI based audio visualizer.

Command line visualizer. Supports mpd, with experimental support for alsa and pulseaudio.

cli-visualizer is a command-line visualizer. Music visualization generates animated imagery based on a piece of music. Free and open source software.

It will make your productivity plummet

Unison is a file-synchronization tool for OSX, Unix, and Windows. It allows two replicas of a collection of files and directories to be stored on different hosts (or different disks on the same host), modified separately, and then brought up to date by propagating the changes in each replica to the other.

Servizio di hosting cloud per applicazioni professionali.

The people who created C sure loved keeping the number of keywords low, and today I’m going to show you yet another place you can use the static keyword in C99.

You might have seen function parameter declaration for array parameters that include the size:

void foo(int myArray[10]);

The function will still receive a naked int *, but the [10] part can serve as documentation for the people reading the code, saying that the function expects an array of 10 ints.

But, you can actually also use the keyword static between the brackets:

void bar(int myArray[static 10]);

This tells the compiler that it should assume that the array passed to bar has at least 10 elements. (Note that this rules out a NULL pointer!)

TOM (TOpic Modeling) is a Python 3 library for topic modeling and browsing, licensed under the MIT license.

Its objective is to allow for an efficient analysis of a text corpus from start to finish, via the discovery of latent topics. To this end, TOM features functions for preparing and vectorizing a text corpus. It also offers a common interface for two topic models (namely LDA using either variational inference or Gibbs sampling, and NMF using alternating least-square with a projected gradient method), and implements three state-of-the-art methods for estimating the optimal number of topics to model a corpus. What is more, TOM constructs an interactive Web-based browser that makes it easy to explore a topic model and the related corpus.

N-grams have been a common tool for information retrieval and machine learning applications for decades. In nearly all previous works, only a few values of $n$ are tested, with $n > 6$ being exceedingly rare. Larger values of $n$ are not tested due to computational burden or the fear of overfitting.

In this work, we present a method to find the top-$k$ most frequent $n$-grams that is 60$\times$ faster for small $n$, and can tackle large $n\geq1024$. Despite the unprecedented size of $n$ considered, we show how these features still have predictive ability for malware classification tasks. More important, large $n$-grams provide benefits in producing features that are interpretable by malware analysis, and can be used to create general purpose signatures compatible with industry standard tools like Yara. Furthermore, the counts of common $n$-grams in a file may be added as features to publicly available human-engineered features that rival efficacy of professionally-developed features when used to train gradient-boosted decision tree models on the EMBER dataset.

An easier way to build and share serverless applications w/ the Serverless Framework.

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