297 private links
Une classification des modèles selon droite/gauche et autoritaire/libertaire.
Selon certaines affirmations, les modèles répondent bien différemment.
Two lessons from algorithms:
- Debugging complex code is hard, first simplify, then debug.
- Single source of truth is good
Second, algorithms teach about properties and invariants.
Third, algorithms occasionally are useful at the job!
Fourth, connecting to the previous ones, the ideas really do form interconnected web which, on a deep level, underpins a whole lot of stuff.
Here again a list of algorithms.
Meetings happen for two reasons:
- You want to present or discuss something with a few people.
- Somebody thinks inviting you to a conference/meeting is a good idea.
You are the initiator
Why does this meeting have to take place ?
Rule 1: In 99% of the cases, a meeting takes more working hours than the time preallocated to it.
Rule 2: The meeting is mainly for the tasks and decisions you cannot fulfill alone.
TODO list:
- Invite people whose work is directly related to your meeting's key topic. How to sort participants? “Will I cancel this meeting if that person cannot participate?”
- Prepare and share the agenda in advance. People must understand why they should be there and what you will expect from them.
- Describe the goal and the expected results so participants can prioritize the information they get during the meeting.
- Plan the timeslots based on the agenda and the number of participants. If you have twenty people for a 30 minutes meeting, then everyone would have a 90 seconds timeslot. Just remember this fact.
You are invited
- Ask in advance for the agenda and the goal of that session if this info is missing
- Clarify what would happen if you could not join, and then decide on joining the meeting (or not)
- prepare your communication plan based on the timeslot you have.
- Investigate the documentation available on the topic so you can have some background and ask the right questions.
Conduction
So, start with the story that will help your audience dive into the right atmosphere.
How to keep people involved?
- Ask people to highlight the aspects they know better than you.
- Ask people to express their expectations about the next presentation slide.
- Use questions that can be answered with a Yes/No or only a few words.
- If it's an online meeting, ask people to turn on their camera if possible.
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User-agent: GPTBot
Disallow: /
User-agent: ChatGPT-User
Disallow: /Les travailleurs pauvres sont exploités au profit des grandes entreprises du numérique. Voici un autre exemple.
Exemple de cas: https://twitter.com/JulesWP/status/1690696247399550976
L'article me semble de qualité pour une introduction à l'apnée.
A playable quote is a self-contained slice of an original creative work that points to a specific moment in the space of play along with a reference performance of how that moment can play out. The reader of a quote can replay their own variations on the quoted moment to see how the game responds.
So people can play again a specific part of a game, to create something and record it :)
About one disadvantage of the deployment on the edge
it looks good :D
I found that the current solutions mainly focus on the gallery-type application. However, I want a simple-to-use backup tool with a native mobile app that can view photos and videos efficiently. So I set sail on this journey as a hungry engineer on the hunt.
To favorise:
- checkbox
- file
- hidden
- radio
- password
- text
To avoid:
- button
- date
- datetime-local
- month
- number
- reset
- search
- submit
- time
- week
The rest is not sure or evident...
Écrit tapé à l'aide d'un clavier (ordinateur ou machine à écrire).
Il s'agit donc d'un document numérisé, ressemblant à l'original, au moins dans son contenu textuel.
Check a project name is available on different package managers, etc.
How do we actually encapsulate state, and actually regain compositional reasoning, fully? The technique that actually works is confining state locally. Confining state to within an object (“encapsulation” as it’s usually meant) doesn’t get us there because the state is owned by the object and thus escapes, but fully-local to a function does successfully isolate that state.
Instead of thinking in terms of a function that modifies multiple objects, you think in terms of a function that computes a description of how multiple objects should be affected, then a separate interpreter of that data type that animates that description into real action.
A minimal representation is the events of the DOM: they describe a change.
The author describes the advantages of such.
Note that Rust or Typescript are good candidates to represent algebraic data types.