Definitions of Python jargon to help Python beginners understand Pythonista gobbletigook. The idea is to help a Python beginner's understanding even before they've learned to write the code.
Please submit issues and pull requests!
- Clarity
- Conciseness
- Accuracy
... are all desirable - in that order. Don't get pedantic or hung up on `corner cases`_.
Terms to define are not strictly Python terms, but any terms likely to be frequently heard at a Python conference.
To reduce cognitive load, let's use examples around a consistent, familiar theme: cats.
- Execute
- Go. Run. Do that thing you do. Nothing to do with beheading anybody.
- Code
- Collection of computer instructions in a human-readable computer/programming language.
- Comment
- To clarify something in the middle of a piece of code. If used properly can make understanding your code much easier than if they weren't present.
- Decimal
A numeral system of base 10, which means it has 10 digits to represent numbers. As long as you only have ten digits, your system can be called decimal, but it is conventional to use from 0 to 9.
It is the standard today.
- Binary
A numeral system of base 2, which means it has 2 digits to represent numbers. As long as you only have two digits, your system can be called binary, but it is conventional to use 0 and 1.
- Octal
A numeral system of base 8, which means it has 8 digits to represent numbers. As long as you only have eight digits, your system can be called octal, but it is conventional to use from 0 to 7.
- Hexadecimal (or Hex)
A numeral system of base 16, which means it has 16 digits to represent numbers. As long as you only have sixteen digits, your system can be called hexadecimal, but it is conventional to use from 0 to 9 and A to F.
- Value
- A single piece of data, like
3
or'Fluffy'
- Literal
A representation of a value as the value itself, as opposed to the result of a function or expression.
"Whiskers" # a string literal 'Whiskers' # a string literal 1 # an integer literal 1.5 # a float literal ["Whiskers", 10] # a list literal
- String
- A piece of text data, like
'hello'
. Enclosing it in quotation marks tells Python that it's a string and not something like a variable name.
- Float
- Short for floating-point number, a number with a decimal point.
- Variable
A piece of data that has a name.
cat_name = 'Fluffy'
Now
cat_name
is a variable with the value 'Fluffy'.
- Expression
A description of a value that contains calculations and/or other executable code; the code must be executed to determine the expression's actual value. Typically, these fit on one line, but not necessarily.
Examples:
'lazy ' + 'cat' # Evaluates to 'lazy cat' 2 * 2 > 100 # Evaluates to ``False``
- Boolean
True
orFalse
.
- List
A series of values. Python will remember what order they come in.
['Mouser', 17, 'Whiskers']
- Tuple
A series of values. Python will remember what order they come in.
Hey, is that the same as a list? It's very similar, but after a tuple is set up, you're not allowed to change it.
('Mouser', 17, 'Whiskers')
- Set
- Just like in mathematics - a group of values. Python will not necessarily remember what order they came in, and each value can only appear in the set once.
- Function
A named series of instructions. Its definition begins with the def keyword.
def feed_cat(kg_of_food, kg_of_cat): kg_of_food = kg_of_food - 0.1 kg_of_cat = kg_of_cat + 0.1
- Call
Tell a function to execute. To call a function, give its name followed by parenthesis containing its arguments (if any).
feed_cat(8.0, 3.0)
- Argument
- A piece of data that you "pass" (give) to a
function as you call it. In our
feed_cat
function,kg_of_food
andkg_of_cat
are the function's arguments.
- Parameter
- Synonym for argument.
- Return
- Stop running a function and return to the place where the function was called from. Send a value back - the "return value".
- Object
- A logical grouping of functions (called "methods" in this context) and variables (called "attributes_" in this context).
- Method
A function that belongs to an object and "knows" about the object it belongs to. For instance, if my_cat is an object that has a speak method, then we can call it:
my_cat.speak() 'meow'
... and my_cat.speak doesn't need to be told what kind of animal should speak, because it already knows that it belongs to my_cat.
- Attribute
A piece of data that belongs to an object. This object,
my_cat
, has aname
attribute with the value'Agamemnon'
.``my_cat.name 'Agamemnon'
- Class
- A code template, used for creating and initializing an object with pre-defined data, and for providing code to operate on that object's data.
- Instantiate
- Create a new instance of a given class. When my_cat has kittens, she is instantiating several new instances of the class Cat. (Please spay our neuter your pets!)
- Object-oriented programming
- Programming that makes use of classes and objects.
- Dunder
- The two underscores before and after a method name to indicate that it is "magic", i.e. __init__, __new__, etc. (Short for "Double-underscore")
- Magic Method
- Methods that can be used to change the normal behavior of an object. HINT : in Python, everything is an object.
- `Module`_
- A single file of Python commands. Calling it a module implies we plan to "import" it, not just call it on its own.
- `Package`_
- A directory full of modules that can all together be referred to by the package's name.
- Import
- Make the contents of a module_ or package_ available in your current program, even though it comes outside your current program's file.
- Editor
- A program to create or change files. We usually mean text editor, since a Python program is a kind of text file. Notepad is an example of an editor (but don't use Notepad to edit Python, it can introduce mistakes into your Python programs; Notepad++ is a good alternative).
- IDE
- Abbreviation for Integrated Development Environment. A kind of text editor with programming-related superpowers; a program that lets you build more programs. Examples include Eclipse, Sublime, Wingware, and IDLE
- Database
- A place to store data outside the program, possibly in memory ("in-memory databases") but generally on disk. A file on disk could be considered a very simple database, but we usually mean much more advanced programs.
- Relational database
- A very common kind of database that's good at retrieving data that have relationships to one another. For instance, a question like "How expensive is the cat food brand that most of my cats prefer?" is usually easier to answer in a relational database than in other types of database.
- RDBMS
- Relational database management system - basically a synonym for relational database.
- SQL
- The specialized language usually used to get and manipulate data in a relational database.
- SQL database
- More or less a synonym for relational database.
- REPL
- An interactive programming language interpreter that allows a user to type in statements which are immediately evaluated. The term REPL is an acronym for Read-Evaluate-Print-Loop.
- Bug
- A mistake in software that makes it crash or behave badly.
- Refactor
- Change a program so that the functionality seems the same from the user's point of view, but the code itself is better - easier to read, understand, maintain, etc.
- Agile Development
A systematic approach to software development that emphasizes short, concentrated periods of work on specific features or enhancements, where such features are delivered independently of the project at large
Contrast with the Waterfall Model.
- Version Control
- Tools and techniques for keeping track of the changes in files in a reversible way. More importantly, it helps people cooperate on changes to a file without ruining each others' work.
- Issue
- Request for a specific change to software, either to fix a bug or provide new features ("enhancement"). Issues are usually filed in a project's `bug tracker`_.
- Repository
- A record on disk of the version control history for a directory (and its subdirectories). Usually we mean someplace on line, usually at a service like github_.
- Repo
- Abbreviation for repository.
- Branch
- A parallel version of a repository, generally used for making and testing changes to a code base in a safe, non-destructive way.
- Fork
- To copy over source code from a project and start independent work on it, usually because of different perspectives on how the program should be developed. A project that started this way, by basing itself over another project's source, is called a fork. (i. e. Pale Moon is a fork of Mozilla Firefox)
- Pull Request
- After you have fork_ed a repository and made changes, you may ask the original repository owner to incorporate ("pull") your changes into the original repository.
- Git
- The most popular program for version control.
- Mercurial
- Another version control program
- Github
- The most popular commercial service that hosts version control repositories online.
- Bitbucket
- Another commercial service for hosting version control repositories.
- Testing
- To programmers, them means scripts that verify that a program works as desired automatically. We rarely talk about non-automated, direct human testing, because it's soul-sucking and can't keep up with our speed of generating bugs.
- Regression test
- Tests to make sure that one part of a program doesn't get worse - regress - as improvements aren't made to a different part. All of our tests could generally be considered regression tests.
- Unit Test
- A fine-scale test that works directly on one small piece of a program, at a scale finer than the end-user will directly see. Contrast functional test.
- Functional test
- A test that makes sure a program is working from the user's point of view. Contrast unit test.
- Test-Driven Development
- A style of development where you first write the tests saying what you want the program to do - even before the program exists. Then you write the code until the tests no longer fail.
- Corner Case
- A situation that's likely to show bugs in code because it's so unusual that the developers were unlikely to account for it. For instance, if you are classifying cats by their eye color, a cat with two different-color eyes may be a corner case that disrupts your classification scheme.
- PyPI
- PyPI, pronounced "Pie-Pee-Eye" and also known as The Cheeseshop, is the "Python Packaging Index". It is where you can publish and download open source Python packages.
- pip
- pip is the recommended tool for installing Python packages and is preferred over easy_install.
- API
Shorthand for "application programmer interface". This is the way that other programs can make use of this program. Web services can have APIs that let them accept messages from other programs and send messages back in response.
Examples include POSIX (the unix/Linux API), Win32, Cocoa, Amazon AWS, and Android. However, many other services have APIs to add things like (for instance) Dropbox and Facebook to your app.
TODO: generalize this more
- Operations
- Activities related to deploy_ing software and keeping it running on its destination servers.
- DevOps
- Philosophy and tools for operations that try to make the process as automatic and failsafe as possible by imitating software developers' tools and techniques.
- Deploy
- To deliver a completed program so that other people can use it. Ususually different than just programming it so that it works. Sometimes, a program needs to be installed in a package, or through an App Store, or maybe it just needs to be on the web. That last step to make it so that other people can reach it is called "deployment"
- Build
- TODO
- Build Server
- TODO
- HTML
- Markup language used by default by most of the Web. Has tags for various kinds of elements, graphical or not. Stands for Hyper Text Markup Language
- CSS
- Descriptive language to style markup elements. Usually used with HTML to style its various tags. Stands for Cascading Style Sheet
- GIL
- TODO
- PEP
- TODO
- PEP 8
- TODO
- program
- TODO
- script
- TODO
- scripting language
- TODO
- regex
- TODO
- pickle
- TODO
- socket
- TODO
- thread
- TODO
- virtualenv
- TODO
- kit
- TODO
- hash
- TODO
- commit
- TODO
- branch
- TODO
- polymorphism
- TODO
- inheritance
- TODO
- bytecode
- TODO
- serialize
- TODO
- JSON
- TODO
- YAML
- TODO
- XML
- TODO
- dependency injection
- TODO
- repr
- TODO
- queue
- TODO
- event
- TODO
- message
- TODO
- GUI
- TODO
- command line
- TODO
- loop
- TODO
- list comprehension
- TODO
- lambda
- TODO
- closure
- TODO
- generator
- TODO
- coroutine
- TODO
- blocking
- TODO
- lock
- TODO
- mutex
- TODO
- semaphore
- TODO
- signal
- TODO
- bit
- TODO
- callable
- TODO
- namespace
- TODO
- file object
- TODO
- query
- TODO
- cron
- TODO
- constant
- TODO
- C API
- TODO
- utf-8
- TODO
- ascii
- TODO
- encoding
- TODO
- code point
- TODO
- source
- TODO
- NLTK
- TODO
- MVC
- TODO
- file extension
- TODO
- functional programming
- TODO
- higher-order function
- TODO
- first-class value
- TODO
- indentation
- TODO
- SQL injection
- TODO
- decorator
- TODO
- code object
- TODO
- frame
- TODO
- traceback
- TODO
- statement
- TODO
- standard library
- TODO
- IDLE
- TODO
- twisted
- TODO
- django
- TODO
- flask
- TODO
- requests
- TODO
- scipy
- TODO
- numpy
- TODO
- pandas
- TODO
- matplotlib
- TODO
- ipython
- TODO
- jupyter
- TODO
- setup.py
- TODO
- mutable
- TODO
- immutable
- TODO
- unicode
- TODO
- byte
- TODO
- byte string
- TODO
- array
- TODO
- CPython
- TODO
- PyPy
- TODO
- Jython
- TODO
- Cython
- TODO
- ctypes
- TODO
- cffi
- TODO
- compile
- TODO
- interpret
- TODO
- syntax
- TODO
- integration test
- TODO
- load test
- TODO
- performance test
- TODO
- acceptance test
- TODO
- mock
- TODO
- stub
- TODO
- fake
- TODO
- test double
- TODO
- coverage
- TODO
- alpha
- TODO
- beta
- TODO
- release candidate
- TODO
- semantic versioning
- TODO
- sphinx
- TODO
- ReST
- TODO
- rst
- TODO
- documentation
- TODO
- docstring
- TODO
- doctest
- TODO
- concatenation
- TODO
- slice
- TODO
- index
- TODO
- item
- TODO
- property
- TODO
- descriptor
- TODO
- metaclass
- TODO
- emacs
- TODO
- vim
- TODO
- pycharm
- TODO
- sublime
- TODO
- exception
- TODO
- catch
- TODO
- raise
- TODO
- error
- TODO
- CSV
- TODO
- server
- TODO
- client
- TODO
- protocol
- TODO
- network
- TODO
- import
- TODO
- synchronous
- TODO
- asynchronous
- TODO
- type
- TODO
- type checking
- TODO
- duck typing
- TODO
- DSL
- TODO
- subclass
- TODO
- superclass
- TODO
- mixin
- TODO
- multiple inheritance
- TODO
- interface
- TODO
- abstract class
- TODO
- static method
- TODO
- operating system
- TODO
- Windows
- TODO
- Linux
- TODO
- Ubuntu
- TODO
- pastebin
- TODO
- IRC
- TODO
- operator
- TODO
- operation
- TODO
- object-oriented
- TODO
- use case
- TODO
- requirements
- TODO
- recursion
- TODO
- iteration
- TODO
- garbage collection
- TODO
- memory management
- TODO
- reference
- TODO
- c extension
- TODO
- factory
- TODO
- portable
- TODO
- pythonic
- TODO
- singleton
- TODO