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#Hackers #Hacking #Lulz #Programming #Coding #Realness
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#Hackers #Hacking #Lulz #Programming #Coding #Realness

    • #LULZ
    • #Hackers
    • #Hacking
    • #Programming
    • #Programmers
    • #Coding
    • #Scripting
    • #Realness
  • 2 months ago
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LOLcode

anticapitalist:

HAI!

LOLcode is a programming language based on the communication style of lolcats.

An example code is:

HAI
CAN HAS STDIO?
VISIBLE "HAI WORLD!"
KTHXBYE

HAI is the equivalent of <body> or { and introduces any script.

CAN HAS STDIO means that the code has standard inputs and outputs

VISIBLE is equal to print or show (depending on what programming language you are familiar with)

KTHXBYE ends the script. It’s an equivalent of </body> or }

HAI CAN HAS STDIO? I HAS A VAR IM IN YR LOOP UP VAR!!1 VISIBLE VAR IZ VAR BIGGER THAN 10? KTHXBYE IM OUTTA YR LOOP KTHXBYE

Is another code example.

Those familiar with programming should be able to decode this. Otherwise, it’s not worth the effort explaining it.

KTHXBYE

    • #LOLcode
    • #programming
    • #coding
    • #scripting
    • #lulz
  • 1 year ago > anticapitalist
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THN Inviting ‘Link Exchange’ from Hacking, Technology, News, Programming and Various IT related websites, Please frwd request to thehackernews@gmail.com
The Hacker News

Source: thehackernews.com

    • #Hackers
    • #Hacking
    • #Technology
    • #IT
    • #News
    • #Programming
  • 2 years ago
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Programming, Motherfucker

Programming, Motherfucker, do you speak it!

The Motherfucking Manifesto
For
Programming, Motherfuckers

We are a community of motherfucking programmers who have been humiliated by software development methodologies for years.

We are tired of XP, Scrum, Kanban, Waterfall, and anything else getting in the way of…Programming, Motherfucker.

We are tired of being told we’re autistic idiots who need to be manipulated to work in a Forced Pair Programming chain gang without any time to be creative because none of the 10 managers on the project can do…Programming, Motherfucker.

We must destroy these methodologies that get in the way of…Programming, Motherfucker.

Our Values

They Claim To ValueThey Really ValueWe Fucking Do Individuals and interactionsTons of billable hoursProgramming, Motherfucker Working softwareWorking unit testsProgramming, Motherfucker Customer collaborationBleeding clients dryProgramming, Motherfucker Responding to changeInstability and plausible deniabilityProgramming, Motherfucker

We think the shit on the left, is really just the con in the middle, and that we really need to just do the thing on the right…Programming, Motherfucker.

Signed,

Zed A. Shaw And The Programming Motherfuckers

    • #Programming
    • #Hackers
    • #Hacking
    • #lulz
  • 2 years ago
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How to be a Programmer: A Short, Comprehensive, and Personal Summary

Robert L Read

Copyright � 2002, 2003 Robert L. Read

Copyright

Copyright � 2002, 2003

by Robert L. Read. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with one Invariant Section being ‘History (As of February, 2003)’, no Front-Cover Texts, and one Back-Cover Text: ‘The original version of this document was written by Robert L. Read without renumeration and dedicated to the programmers of Hire.com.’ A copy of the license is included in the section entitled ‘GNU Free Documentation License’.

2002


Dedication

To the programmers of Hire.com.

Table of Contents

1. Introduction
2. Beginner
Personal Skills
Learn to Debug
How to Debug by Splitting the Problem Space
How to Remove an Error
How to Debug Using a Log
How to Understand Performance Problems
How to Fix Performance Problems
How to Optimize Loops
How to Deal with I/O Expense
How to Manage Memory
How to Deal with Intermittent Bugs
How to Learn Design Skills
How to Conduct Experiments
Team Skills
Why Estimation is Important
How to Estimate Programming Time
How to Find Out Information
How to Utilize People as Information Sources
How to Document Wisely
How to Work with Poor Code
How to Use Source Code Control
How to Unit Test
Take Breaks when Stumped
How to Recognize When to Go Home
How to Deal with Difficult People
3. Intermediate
Personal Skills
How to Stay Motivated
How to be Widely Trusted
How to Tradeoff Time vs. Space
How to Stress Test
How to Balance Brevity and Abstraction
How to Learn New Skills
Learn to Type
How to Do Integration Testing
Communication Languages
Heavy Tools
How to analyze data
Team Skills
How to Manage Development Time
How to Manage Third-Party Software Risks
How to Manage Consultants
How to Communicate the Right Amount
How to Disagree Honestly and Get Away with It
Judgement
How to Tradeoff Quality Against Development Time
How to Manage Software System Dependence
How to Decide if Software is Too Immature
How to Make a Buy vs. Build Decision
How to Grow Professionally
How to Evaluate Interviewees
How to Know When to Apply Fancy Computer Science
How to Talk to Non-Engineers
4. Advanced
Technological Judgment
How to Tell the Hard From the Impossible
How to Utilize Embedded Languages
Choosing Languages
Compromising Wisely
How to Fight Schedule Pressure
How to Understand the User
How to Get a Promotion
Serving Your Team
How to Develop Talent
How to Choose What to Work On
How to Get the Most From Your Teammates
How to Divide Problems Up
How to Handle Boring Tasks
How to Gather Support for a Project
How to Grow a System
How to Communicate Well
How to Tell People Things They Don’t Want to Hear
How to Deal with Managerial Myths
How to Deal with Organizational Chaos
Glossary
A.
B. History (As Of February, 2003)
C. GNU Free Documentation License
PREAMBLE
APPLICABILITY AND DEFINITIONS
VERBATIM COPYING
COPYING IN QUANTITY
MODIFICATIONS
COMBINING DOCUMENTS
COLLECTIONS OF DOCUMENTS
AGGREGATION WITH INDEPENDENT WORKS
TRANSLATION
TERMINATION
FUTURE REVISIONS OF THIS LICENSE
ADDENDUM: How to use this License for your documents
    • #Programming
    • #Programmer
    • #Scripting
    • #Coding
    • #Hacking
    • #Hackers
  • 2 years ago
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Could a vulnerability tax spur vendors to improve security?

He has recently been appointed as Apple’s global director of security and he is expected to begin his work in March, but former National Security Agency cryptographer and SANS instructor David Rice is already positioning himself on the frontline of the security debate by proposing a vulnerability tax as way to push software manufacturers to get (even) more serious about security.


Comparing it to a pollution tax, he wants the companies to pay for the damage they make with insecure software. He believes that such a tax could directly affect the users’ choices. “When insecure software starts costing more, people will adjust their behavior,” he said to Forbes.

He thinks that the tax would create a very strong incentive for companies to clean up their act and test their software more thoroughly.

“Software vulnerabilities, like pollution, are inevitable - producing perfect software is impossible. So instead of saying all software must be secure, we tax insecurity and allow the market to determine the price it’s willing to pay for vulnerability in software.”

He believes this solution would hit the problem at its root, but other security experts are not convinced - even as they agree with Rice on the need for software vendors to concentrate more on security.

Kurt Baumgartner, senior malware researcher at the Kaspersky Lab, thinks that the concept is flawed since it doesn’t take in consideration the fact that not all vulnerabilities are exploitable.

He also doesn’t see how the tax system could be instituted when the vendors themselves can’t find a way to quantifying the severity of their own vulnerabilities in order to agree on a standard.

Sophos security expert James Lyne doesn’t reject the idea, but is concerned about the impact it would have on product development and innovation in general.

“Such an initiative had to be managed carefully however, many brilliant technology platforms generating business value start of life as underdeveloped, under resourced applications,” he said to IT Pro.

Senior security researcher at the Kaspersky Lab David Jacoby is rather skeptic regarding the possibility of implementation of such a tax. He emphasized that not all vulnerabilities are the result of programming.

“Some vulnerabilities exist because of the local configuration of the server the application is running on,” he pointed out. Also, it would be difficult for somebody on the outside to evaluate how much the flaw really affects the client when they don’t have access to the information the server handles.

He also raised the question of what would happen if someone comes up with a new exploitation technique that affects all software written in a certain language. Technically, this is not the vendor’s fault. In short, he thinks that there are too many variables that would have to be taken in consideration in order for such a tax system to succeed.

    • #vulnerabilities
    • #tax
    • #improvements
    • #security
    • #programming
  • 2 years ago
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Structure and Interpretation of Computer Programs - second edition #ebook #programming #electrical #engineering

This book is one of a series of texts written by faculty of the Electrical Engineering and Computer Science Department at the Massachusetts Institute of Technology. It was edited and produced by The MIT Press under a joint production-distribution arrangement with the McGraw-Hill Book Company.

Contents (edit: click one of the below)

Foreword

    Preface to the Second Edition

    Preface to the First Edition

    Acknowledgments

    1  Building Abstractions with Procedures
        1.1  The Elements of Programming
            1.1.1  Expressions
            1.1.2  Naming and the Environment
            1.1.3  Evaluating Combinations
            1.1.4  Compound Procedures
            1.1.5  The Substitution Model for Procedure Application
            1.1.6  Conditional Expressions and Predicates
            1.1.7  Example: Square Roots by Newton’s Method
            1.1.8  Procedures as Black-Box Abstractions
        1.2  Procedures and the Processes They Generate
            1.2.1  Linear Recursion and Iteration
            1.2.2  Tree Recursion
            1.2.3  Orders of Growth
            1.2.4  Exponentiation
            1.2.5  Greatest Common Divisors
            1.2.6  Example: Testing for Primality
        1.3  Formulating Abstractions with Higher-Order Procedures
            1.3.1  Procedures as Arguments
            1.3.2  Constructing Procedures Using Lambda
            1.3.3  Procedures as General Methods
            1.3.4  Procedures as Returned Values

    2  Building Abstractions with Data
        2.1  Introduction to Data Abstraction
            2.1.1  Example: Arithmetic Operations for Rational Numbers
            2.1.2  Abstraction Barriers
            2.1.3  What Is Meant by Data?
            2.1.4  Extended Exercise: Interval Arithmetic
        2.2  Hierarchical Data and the Closure Property
            2.2.1  Representing Sequences
            2.2.2  Hierarchical Structures
            2.2.3  Sequences as Conventional Interfaces
            2.2.4  Example: A Picture Language
        2.3  Symbolic Data
            2.3.1  Quotation
            2.3.2  Example: Symbolic Differentiation
            2.3.3  Example: Representing Sets
            2.3.4  Example: Huffman Encoding Trees
        2.4  Multiple Representations for Abstract Data
            2.4.1  Representations for Complex Numbers
            2.4.2  Tagged data
            2.4.3  Data-Directed Programming and Additivity
        2.5  Systems with Generic Operations
            2.5.1  Generic Arithmetic Operations
            2.5.2  Combining Data of Different Types
            2.5.3  Example: Symbolic Algebra

    3  Modularity, Objects, and State
        3.1  Assignment and Local State
            3.1.1  Local State Variables
            3.1.2  The Benefits of Introducing Assignment
            3.1.3  The Costs of Introducing Assignment
        3.2  The Environment Model of Evaluation
            3.2.1  The Rules for Evaluation
            3.2.2  Applying Simple Procedures
            3.2.3  Frames as the Repository of Local State
            3.2.4  Internal Definitions
        3.3  Modeling with Mutable Data
            3.3.1  Mutable List Structure
            3.3.2  Representing Queues
            3.3.3  Representing Tables
            3.3.4  A Simulator for Digital Circuits
            3.3.5  Propagation of Constraints
        3.4  Concurrency: Time Is of the Essence
            3.4.1  The Nature of Time in Concurrent Systems
            3.4.2  Mechanisms for Controlling Concurrency
        3.5  Streams
            3.5.1  Streams Are Delayed Lists
            3.5.2  Infinite Streams
            3.5.3  Exploiting the Stream Paradigm
            3.5.4  Streams and Delayed Evaluation
            3.5.5  Modularity of Functional Programs and Modularity of Objects

    4  Metalinguistic Abstraction
        4.1  The Metacircular Evaluator
            4.1.1  The Core of the Evaluator
            4.1.2  Representing Expressions
            4.1.3  Evaluator Data Structures
            4.1.4  Running the Evaluator as a Program
            4.1.5  Data as Programs
            4.1.6  Internal Definitions
            4.1.7  Separating Syntactic Analysis from Execution
        4.2  Variations on a Scheme — Lazy Evaluation
            4.2.1  Normal Order and Applicative Order
            4.2.2  An Interpreter with Lazy Evaluation
            4.2.3  Streams as Lazy Lists
        4.3  Variations on a Scheme — Nondeterministic Computing
            4.3.1  Amb and Search
            4.3.2  Examples of Nondeterministic Programs
            4.3.3  Implementing the Amb Evaluator
        4.4  Logic Programming
            4.4.1  Deductive Information Retrieval
            4.4.2  How the Query System Works
            4.4.3  Is Logic Programming Mathematical Logic?
            4.4.4  Implementing the Query System

    5  Computing with Register Machines
        5.1  Designing Register Machines
            5.1.1  A Language for Describing Register Machines
            5.1.2  Abstraction in Machine Design
            5.1.3  Subroutines
            5.1.4  Using a Stack to Implement Recursion
            5.1.5  Instruction Summary
        5.2  A Register-Machine Simulator
            5.2.1  The Machine Model
            5.2.2  The Assembler
            5.2.3  Generating Execution Procedures for Instructions
            5.2.4  Monitoring Machine Performance
        5.3  Storage Allocation and Garbage Collection
            5.3.1  Memory as Vectors
            5.3.2  Maintaining the Illusion of Infinite Memory
        5.4  The Explicit-Control Evaluator
            5.4.1  The Core of the Explicit-Control Evaluator
            5.4.2  Sequence Evaluation and Tail Recursion
            5.4.3  Conditionals, Assignments, and Definitions
            5.4.4  Running the Evaluator
        5.5  Compilation
            5.5.1  Structure of the Compiler
            5.5.2  Compiling Expressions
            5.5.3  Compiling Combinations
            5.5.4  Combining Instruction Sequences
            5.5.5  An Example of Compiled Code
            5.5.6  Lexical Addressing
            5.5.7  Interfacing Compiled Code to the Evaluator

    References

    List of Exercises

    Index

    • #ebook
    • #programming
    • #electrical
    • #engineering
  • 2 years ago
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Welcome to Rosetta Code #programming

Rosetta Code is a programming chrestomathy site. The idea is to present solutions to the same task in as many different languages as possible, to demonstrate how languages are similar and different, and to aid a person with a grounding in one approach to a problem in learning another. Rosetta Code currently has 455 tasks, and is aware of 357 languages, though we do not (and cannot) have solutions to every task in every language.

    • #programming
    • #coding
    • #scripting
  • 2 years ago
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Managing Humans - An Introduction #programming #management

Great Story! - Click The Topic and Enjoy!

Also.. I want a copy!

    • #programming
    • #management
  • 2 years ago
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How to Write a Spelling Corrector #spelling #programming #python

In the past week, two friends (Dean and Bill) independently told me they were amazed at how Google does spelling correction so well and quickly. Type in a search like [speling] and Google comes back in 0.1 seconds or so with Did you mean: spelling. (Yahoo and Microsoft are similar.) What surprised me is that I thought Dean and Bill, being highly accomplished engineers and mathematicians, would have good intuitions about statistical language processing problems such as spelling correction. But they didn’t, and come to think of it, there’s no reason they should: it was my expectations that were faulty, not their knowledge.

I figured they and many others could benefit from an explanation. The full details of an industrial-strength spell corrector like Google’s would be more confusing than enlightening, but I figured that on the plane flight home, in less than a page of code, I could write a toy spelling corrector that achieves 80 or 90% accuracy at a processing speed of at least 10 words per second.

(Edit: click title for full page!)

    • #spelling
    • #python
    • #programming
  • 2 years ago
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About

+-----------------------------------------+
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.:[ h4x0r3d approves ]:.

  • Photo via astralsailor
    Photo via astralsailor
  • Photo via ragemovement

    “Solidarity With Farmers Saving Seeds”

    Anarchist presence at the march was actually pretty good and everyone was really friendly!

    Photo via ragemovement
  • Post via earthofeye

    I marched against Monsanto and it was slightly liberating.

    Post via earthofeye
  • Photo via digitalmartyrs
    Photo via digitalmartyrs
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