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Python Reference
Python Examples Python Compiler Python Exercises Python Quiz Python Challenges Python Practice Problems Python Server Python Syllabus Python Study Plan Python Interview Q&A Python Training ... This section contains a Python reference documentation.
Python Tutorial
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Python References
March 27, 2025 - In Python, a variable is not a label of a value as you may think. Instead, A variable references an object that holds a value. In other words, variables are references. The following example assigns a number with the value of 100 to a variable:
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Python references - YouTube
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Python interview question #31: By reference? Or by value? - YouTube
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Understanding call-by-value and call-by-reference in Python - YouTube
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Reference Variable in OOP | Python for AI #89 - YouTube
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Object References (Video) – Real Python
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Pass by Value vs. Pass by Reference | Python Course #12 - YouTube
Python documentation
docs.python.org › 3 › reference › index.html
The Python Language Reference — Python 3.14.8 documentation
This reference manual describes the syntax and core semantics of the language. It is terse, but attempts to be exact and complete. Elsewhere, the built-in object types and functions are described in Python built-ins reference.
EDUCBA
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Python References | Tutorials on How References Works in Python
March 31, 2023 - Next, the primary variable is associated with a different value or object. then printing both the variables in the console shows the primary variable being impacted with the new object value, and there is no impact for the secondary variable, and it yet holds the reference to the initial value for which it was assigned. ... Since python does not hold any declarations for its variables, the process of generating a variable is achieved by referencing a name to some entity.
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Reddit
reddit.com › r/learnpython › what's a good python reference?
r/learnpython on Reddit: What's a good Python reference?
September 29, 2023 -
I'm going to be going to a coding competition in about a month, and we're not allowed to use any online resources, but we can bring printed material. I have some experience with Python but I still find myself googling and looking through the official documentation a fair bit. What would be a good reference I could bring?
After a little bit of googling it sounds like Fluent Python or Learning Python might be good, and I also saw someone mention Python Distilled which also sounds interesting.. I'm going to see if I can find any of these at a local bookstore or library so I can flip through them, but I don't know if maybe I'm missing something that would be a good resource to bring. I saw Think Python on the list of recommended books for this reddit which also sounds promising, although I guess I'd have to get it printed out somewhere
The competition involves some leetcode-esque programming problems, if that helps at all as far as what kind of content would be most useful.
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print out the official documentation. Or just make a little binder full of stuff you'll need.
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It depends on what you mean by "reference," exactly. What do you think you're going to have to look up? How advanced is that information? Fluent Python is not a reference. It is a series of in-depth explorations of advanced topics. If what you'e going to need to look up is in the basic or intermediate categories -- basic syntax, operator precedence, what is the name of that built-in function that does such-and-such, how the object model works at a basic level -- it would be a poor choice. It's not so much a reference book as a series of extended essays on deep language topics. Here's a quick overview of the contents (based on my copy, which is the first edition, but I doubt that it's changed a whole lot since then): chapter one is an overview of how the Python object model works and how "magic" (double-underscore) methods implement functionality on user-defined object types, all focusing on a theoretical "what if we want to implement a deck of cards?" scenario. chapters 2 & 3 go over many detailed topics in sequence and container types, talking rapidly about comprehensions, generators, slicing, details of sorting, the bisect module from the standard library, alternatives to lists/arrays for heavy-duty computational work, variations on the dict type, better and worse ways to implement dict-like types yourself, how to handle missing keys in dict and related types, and how these things relate to sets. chapter four covers the str/bytes data types, how they are related, how to deal with text files when you don't know what their encoding is, practical considerations relating to string comparison and sorting, and other advanced textual topics. chapters 5-7 beat into you the notion that functions, too, are objects, and gives an overview of many of the implications of that fact; it also takes a first look at closures and function decorators. chapters 8-13 are an extended (nearly 200 pages) look at the Python object model, how variables in Python actually work at a deep level, the garbage collection model, how to build a new object type that "plays nice" with other Python objects and is easily reusable by other programmers, Python's theories of object design, protocols specifying how objects can be used and manipulated, how abstract base classes can help enforce those protocols, multiple inheritance and how to cope with it, how to use operator overloading to make user-designed objects behave like built-in objects ... and many, many implementation details on all of these topics, some of which may be relevant at some point in your life, plus many different examples of implementations of examples. chapters 14 and 15 are a grab bag of control-flow topics, covering iterables, iterators, and generators; functions designed to work with those things; the itertools module; and context managers. There's a lot of here's-a-weird-little-fact-you-should-know moments, plus a lot of setup for chapters 16-18. chapter 16-18 are about coroutines, which are a way of structuring control flow that is very different from simply iterating, branching, and calling functions in the way that you're used to doing. Coroutines can be super-useful in some ways but aren't needed everywhere; these three chapters give you a solid introduction including two different deep dives into implementations in different contexts. Chapter 19 talks about object attributes a lot. It also gives an introduction to properties, which behave like attributes but run code to return a value instead of just looking up a value from an attribute name, plus a lot of implementation details. Chapter 20 generalizes properties to descriptors, a much more general version of the idea, and shows the best examples I've seen of how they are useful in real-world projects. Chapter 21 will be very helpful if you ever need to programmatically generate, rather than code manually, not objects, but object classes. Like everything in Python, classes are themselves objects that can be created and manipulated at runtime. There's also a brief afterward. So it's a great book, and it's totally worth reading several times and thinking about, but it's not useful as a reference unless you think you'll need to look up stuff in that list of topics. There are thousands of Python topics that are not covered in it, though. Learning Python is a good, long, detailed read, and it's plausible that you could use it as a reference, but it would be helpful to know the book decently well first, because it's ~1600 pages and finding what you're looking for can take a while even with the index's help. It's also fairly dated at this point: the last version I think covers Python 3.3, with the occasional look forward to Python 3.4. The basics of Python since then are (mostly) very much the same, and probably 90% of the changes are in the "we've added even more good stuff" category, but some of Lutz's material, examples, and code looks odd these days because he's (e.g.) using the os and shutil modules instead of the more modern pathlib. That old code will still work, but there are neater, more elegant, shorter ways to do it now.
Python documentation
docs.python.org › 3 › reference
The Python Language Reference — Python 3.14.6 documentation
March 16, 2023 - This reference manual describes the syntax and “core semantics” of the language. It is terse, but attempts to be exact and complete. The semantics of non-essential built-in object types and of the ...
GitHub
github.com › justmarkham › python-reference
GitHub - justmarkham/python-reference: Python Quick Reference · GitHub
This is the reference guide to Python that I wish had existed when I was learning the language. Here's what I want in a reference guide: High-quality examples that show the simplest possible usage of a given feature · Explanatory comments, and descriptive variable names that eliminate the need for some comments ·
Author: justmarkham
O'Reilly
oreilly.com › library › view › python-in-a › 0596001886 › ch04s03.html
Variables and Other References - Python in a Nutshell [Book]
March 3, 2003 - Threads in Python · Reference SectionThread ObjectsThread Synchronization ObjectsTimeout parametersLock and RLock objectsCondition objectsEvent objectsSemaphore objects · Reference SectionMethods of mmap ObjectsUsing mmap Objects for IPC · The math and cmath Modules · Type CodesShape and IndexingStorageSlicingSlicing examplesAssigning to array slicesTruth ValuesFactory FunctionsAttributes and MethodsOperations on ArraysBroadcastingIn-place operationsFunctions ·
Author: Alex Martelli
Published: 2003
Pages: 656
Runestone Academy
runestone.academy › ns › books › published › fopp › TransformingSequences › ObjectsandReferences.html
9.4. Objects and References — Foundations of Python Programming
Try our example from above. The answer is True. This tells us that both a and b refer to the same object, and that it is the second of the two reference diagrams that describes the relationship. Python assigns every object a unique id and when we ask a is b what python is really doing is checking to see if id(a) == id(b).
CodeRivers
coderivers.org › blog › python-references
Python References: Unveiling the Basics, Usage, and Best Practices - CodeRivers
February 22, 2026 - In these examples, string_ref is a reference to a string object, and dict_ref is a reference to a dictionary object. When you pass an object as an argument to a function in Python, you are passing a reference to the object.
Real Python
realpython.com › python-pass-by-reference
Pass by Reference in Python: Background and Best Practices – Real Python
March 18, 2026 - As you can see, the refParameter of squareRef() must be declared with the ref keyword, and you must also use the keyword when calling the function. Then the argument will be passed in by reference and can be modified in place. Python has no ref keyword or anything equivalent to it. If you attempt to replicate the above example as closely as possible in Python, then you’ll see different results:
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All variables in Python are references. Elementary data types aren't an exception.
In the first example, you reassign b. It no longer references the same object as a.
In the second example, you modify b. Since you've previously set a and b to be references to the same object, the modification applies to a as well.
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For a better grasp of this kind of issues, I would encourage you to use the Online Python Tutor. This is an extremely handy tool that renders a graphical representation of the objects in memory while the code is executed step by step.
To show the Online Python Tutor in action I have splitted a toy example into small snippets and then captured the corresponding screenshots. Hopefully this will help you figure out how Python referencing works.
a = 1
b = a
b = 2
x = [a, b]
y = x
y[1] = 3
If you want to play around with this code, follow this link.
Python documentation
docs.python.org › 3 › reference › datamodel.html
3. Data model — Python 3.14.8 documentation
Some objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container’s value.
Python
docs.python.org › 3.13 › reference › index.html
The Python Language Reference — Python 3.13.15 documentation
This reference manual describes the syntax and “core semantics” of the language. It is terse, but attempts to be exact and complete. The semantics of non-essential built-in object types and of the ...
Bite Code
bitecode.dev › bite code! › python variables, references and mutability
Python variables, references and mutability - Bite code!
September 19, 2023 - This example is simple, because we created the variables, and hence the references, manually ourselves. But some operations in Python create references to the same object behind your back.
Medium
medium.com › geekculture › python-reference-e6458a9a0582
Python — Reference
August 9, 2022 - Variables in Python have a special attribute: identity, that is, “identity identification”. This special property is also called “reference” in many places. Let’s first take a look at one example: in languages such as C++, variable declaration and assignment can be separated:
GeeksforGeeks
geeksforgeeks.org › shared-reference-in-python
Shared Reference in Python | GeeksforGeeks
March 14, 2024 - For example, an assignment to an element in a list actually changes the list object itself in-place, rather than creating a new list object. For objects that support in-place changes, you need to be very careful of shared reference, as a change in one can affect others. Python3 ·
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In Python a variable is not a box that holds things, it is a name that points to an object. In your code:
d = { 'm': [1,2,3] }--> binds the namedto a dictionarym = d['m']--> binds the namemto a listm = m[1:]--> binds the namemto another list
Your third line is not changing m itself, but what m is pointing to.
To edit the elements in the list what you can do is:
m = d['m']
for i, item in enumerate(m):
result = do_something_with(item)
m[i] = result
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Ethan Furman did an excellent job of explaining how Python internals work, I won't repeat it.
Since m really does represent the list inside the dictionary, you can modify it. You just can't reassign it to something new, which is what happens when you use = to equate it to a new slice.
To slice off the first element of the list for example:
>>> m[0:1] = []
>>> d
{'m': [2, 3]}
CodeRivers
coderivers.org › blog › python-reference
Python References: Understanding, Using, and Best Practices - CodeRivers
February 22, 2026 - In Python, a reference is a name ... are used to access and manipulate these objects. For example, when you create a variable like x = 5, the variable x is a reference to the integer object 5 stored in memory....