标签：#heat

Laptops don't usually get hot enough to burn—but they can still be harmful.

While the strengthening El Niño helped boost temperatures, climate change is the main culprit for making August so hot.

Independent safety officials also have high praise for changes by NASA leadership.

While Trump administration cuts have contributed to the epidemic of foodborne illnesses this summer, there are also deeper issues that make the American food supply chain susceptible to parasites and bacteria outbreaks.

Overwhelmed theater apps and a scarcity mindset around exclusive big-screen formats for blockbusters like Dune: Part Three and The Odyssey have led to the “concertification” of movies.

Polars hits the sweet spot between Pandas’ ease and Spark’s scale. If you’ve ever waited on a groupby or cursed a memory error, this cheat sheet is for you. I’ve pulled the patterns that save time in real pipelines, not just toy examples. Bookmark this before your next ETL run. Setup and Basics First, get Polars and a dataset. The lazy API is the default now, so you’ll rarely need to call .lazy() explicitly. Start with a CSV or Parquet file, or create a DataFrame from scratch. pip install polars pyarrow import polars as pl df = pl.read_csv('data.csv') # or pl.read_parquet() df = pl.DataFrame({'a': [1, 2], 'b': ['x', 'y']}) Selecting and Filtering Polars uses expressions, not strings. This feels odd at first but pays off when you chain operations. The syntax is consistent: every column is an expression you can transform, filter, or aggregate. df.select(['a', 'b']) # columns by name df.select(pl.col('a').alias('renamed')) df.filter(pl.col('a') > 10) df.filter(pl.col('b').is_in(['x', 'z'])) df.filter(pl.col('a').is_null()) Transforming Data Polars expressions are composable. You can nest them, reuse them, and even store them in variables. This is where the library shines over Pandas. df.with_columns(pl.col('a').cast(pl.Float64)) df.with_columns(pl.col('a').fill_null(0)) df.with_columns((pl.col('a') * 2).alias('a_doubled')) df.with_columns(pl.col('b').str.to_uppercase()) df.with_columns(pl.col('a').is_between(10, 20)) Grouping and Aggregations Groupbys in Polars are lazy by default. This means you can stack multiple aggregations without materializing intermediate results. The syntax is clean, but watch out for the order of operations. df.group_by('b').agg(pl.col('a').sum()) df.group_by('b').agg([pl.col('a').mean(), pl.col('a').max()]) df.group_by('b').agg(pl.col('a').quantile(0.9)) df.group_by_dynamic('timestamp', every='1d').agg(pl.col('a').sum()) Joins and Concatenation Joins in Polars are explicit. You’ll specify the join type and the columns to join on. Concatenatio

This year’s El Niño is shaping up to be the strongest on record. This is what impacts to expect and how bad it could get.

Reservoir has built an ultra-efficient water heater that can predict hot water demand, store energy, and detect plumbing leaks throughout a home.

Hot hours of summer could triple in the coming decades.

The approach is like a Costco for heat pumps, and it’s helping make installations more accessible as heat waves worsen.

There are many companies manufacturing adversarial clothing designed to confuse facial recognition systems. It’s a cool idea, but I worry that it’s mostly security theater: “Our patterns play with that chaos, confuse algorithms and make it way harder to pin you down,” he said. Bell, however, said “none of these products are tried and tested, and a lot of these surveillance technologies can deal with a little resistance … [but] even if the designs don’t necessarily work perfectly, fashion is also a visible sign of resistance. “This is consumers collectively coming together to make a visible statement.”...

Top scores increased by 5x.

A disputed exam, an unreliable detector, and one very late Apple Pages file.

Heat waves are simultaneously hitting Europe, North America, and Asia, driven in part by the hot waters in the tropical Pacific—and climate change.

As extreme heat becomes the norm on the continent, the AC culture wars may be solved by advances in environmentally friendly technology.

AI cheating leads to "a failed society," professor says.

Long hours outdoors, day drinking, and World Cup matches are among the factors raising the risks of heat-related illness, as hot weather spreads across the eastern US.

Extreme heat coupled with humidity will make it feel like 109 degrees Fahrenheit as the holiday weekend approaches.

This cheat sheet is based on Go 1.26. Table of Contents Program structure Variables, constants, and types Control flow Functions Arrays, slices, and maps Structs, methods, and tags Interfaces Errors Goroutines, channels, and synchronization Context Generics Iterators Testing Standard-library quick reference Tips and common mistakes Modules and packages Further reading Program structure package main // Every executable must be in package main. import ( "fmt" "os" ) func main () { fmt . Println ( "Hello, Go 1.26" ) os . Exit ( 0 ) } Every Go source file starts with a package declaration. An executable program uses package main and a main function. Group standard-library and third-party imports separately. Variables, constants, and types Variable declarations and inference // var can infer the type from an initializer. var name = "Gopher" // string var age int // No initializer: specify a type. Zero value: 0. var id int64 = 42 // Use an explicit type when int is not what you want. // Short declaration: inside functions only. city := "Tokyo" // Declare multiple variables in a block. var ( x , y int = 1 , 2 msg string ) Use var name = "Gopher" when an initializer makes the type clear. Without an initializer, write the type explicitly. A := declaration is only valid inside a function, and at least one name on its left side must be new. Types and zero values Category Types Zero value Numbers integers, floats, complex numbers 0 ( 0 + 0i for complex) Strings string "" Booleans bool false Arrays [N]T every element is T 's zero value Structs struct every field has its zero value Reference-containing types pointers, slices, maps, channels, functions, interfaces nil Defined types e.g. type UserID int the underlying type's zero value Category Types Notes Boolean bool true or false String string immutable sequence of bytes (usually UTF-8, but invalid UTF-8 is allowed) Signed integers int , int8 , int16 , int32 , int64 int is platform-sized (32 or 64 bit) Unsigned integers uint , u

Wer täglich in anspruchsvollen Agenturprojekten arbeitet und zwischen Windows-Host und Linux-Umgebung wechselt, weiß: WSL 2 ist ein Gamechanger. Doch selbst wenn man das perfekte Setup einmal konfiguriert hat, kommt unweigerlich der Moment, in dem eine Distribution hängt, RAM freigegeben werden muss oder man ein Backup ziehen will. Anstatt jedes Mal Stack Overflow zu durchsuchen, habe ich mir angewöhnt, die essenziellen Konsolen-Befehle immer griffbereit zu haben. Hier sind die 5 WSL-Befehle, die ich in meinem Setup am häufigsten brauche: Wer täglich in anspruchsvollen Agenturprojekten arbeitet und zwischen Windows-Host und Linux-Umgebung wechselt, weiß: WSL 2 ist ein Gamechanger. Doch selbst wenn man das perfekte Setup einmal konfiguriert hat, kommt unweigerlich der Moment, in dem eine Distribution hängt, RAM freigegeben werden muss oder man ein Backup ziehen will. Anstatt jedes Mal Stack Overflow zu durchsuchen, habe ich mir angewöhnt, die essenziellen Konsolen-Befehle immer griffbereit zu haben. Hier sind die 5 WSL-Befehle, die ich in meinem Setup am häufigsten brauche: 1. Den Status aller Distributionen prüfen Der absolute Standard-Befehl, um zu sehen, welche Linux-Instanzen laufen und welche WSL-Version sie nutzen. wsl --list --verbose # oder kurz: wsl -l -v 2. Der Notaus-Schalter (RAM freigeben) Wenn Docker oder ein Node-Prozess im Hintergrund den gesamten Arbeitsspeicher blockieren, fährt dieser Befehl alle WSL 2 Instanzen sauber herunter. wsl --shutdown 3. Eine bestimmte Distribution als Standard setzen Wichtig, wenn man beispielsweise neben Ubuntu noch Debian installiert hat und festlegen will, was sich beim reinen Befehl wsl öffnet. wsl --set-default <Distributionsname> 4. Die WSL-Umgebung neustarten Es gibt keinen direkten "Restart"-Befehl. Die sauberste Lösung ist das Beenden (Terminate) der spezifischen Instanz. Beim nächsten Aufruf startet sie frisch. wsl --terminate <Distributionsname> 5. IP-Adresse der WSL-Instanz herausfinden Extrem hilfreich für be