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1. Top results related to what is the difference between worddictionary & dictionaryfiller py?

   • What is the difference between __init__.py and __main__.py?

     Top Answer

     Answered Jul 10, 2015 · 123 votes

     __init__.py is run when you import a package into a running python program. For instance, import idlelib within a program, runs idlelib/__init__.py, which does not do anything as its only purpose is to mark the idlelib directory as a package. On the otherhand, tkinter/__init__.py contains most of the tkinter code and defines all the widget classes.

     __main__.py is run as '__main__' when you run a package as the main program. For instance, python -m idlelib at a command line runs idlelib/__main__.py, which starts Idle. Similarly, python -m tkinter runs tkinter/__main__.py, which has this line:

     from . import _test as main-

     In this context, . is tkinter, so importing . imports tkinter, which runs tkinter/__init__.py. _test is a function defined within that file. So calling main() (next line) has the same effect as running python -m tkinter.__init__ at the command line.

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     1/5

   • What is the difference between 'py' and 'python' in the Windows terminal?

     Top Answer

     Answered Jun 17, 2018 · 115 votes

     On Windows

     python is the Python executable of the Python installation which you have selected as a default during the installation. This basically put the path to that version inside the PATH, so that the executable is directly available.

     py is the Python launcher which is a utility that comes with Python installations on Windows. It gets installed into C:\Windows\ so it’s available without requiring PATH modifications. The Python launcher detects what Python versions are installed on your machine and is able to automatically delegate to the right version. By default, it will use the latest Python version that is on your machine. So if you have installed 2.7, 3.5 and 3.6, running py will launch 3.6. You can also specify a different version by doing e.g. py -3.5 to lauch 3.5, or py -2 to launch the latest Python 2 version on your machine.

     You can read more about the launcher in the documentation.

     These days, I personally never put Python directly in my PATH. I only use the launcher for everything as that gives me more control over what Python will be launched. If you see that py -m pip install will not install modules for the Python version you run with IDLE, you should check what versions there are. Every Python installation comes with its own directory where pip modules are installed in. So if you e.g. launch IDLE for Python 3.5, you need to make sure that you also run pip with Python 3.5 (e.g. py -3.5 -m pip install).

     On Linux

     python is a symlink to the default Python installation on your machine. For many Linux machines, this will only be Python 2. Even distributions that no longer come with Python 2 but only ship Python 3 will not use python for Python 3 since the general expectations of tools would be that python is a Python 2. So they may only have a python3 symlink.

     py usually does not exist on Linux, unless you set an alias or symlink yourself. You can check with which python and which py to see what these commands actually are.

     Anaconda

     The Python version you are using is from Anaconda, which is a different Python distribution targeted at data scientists that comes bundled with quite a few things. It uses a different Python version that is separate from the official CPython releases that are available from python.org. I assume that those versions simply won’t be available through the Python launcher by default.

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     2/5

   • What is the difference between .py and .pyc files?

     Top Answer

     Answered Oct 12, 2010 · 89 votes

     .pyc contain the compiled bytecode of Python source files. The Python interpreter loads .pyc files before .py files, so if they're present, it can save some time by not having to re-compile the Python source code. You can get rid of them if you want, but they don't cause problems, they're not big, and they may save some time when running programs.

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     3/5

   • What is the difference between .py and .pyc files?

     Top Answer

     Answered Jan 02, 2023 · 0 votes

     . py files contain the source code of a program. Whereas, . pyc file contains the bytecode of your program.

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     4/5

   • What Is The Difference Between .Py And .Pyc Files?

     When working with Python, you might have come across different file extensions like .py and .pyc. Understanding the differences between these two types of files is essential for efficient Python programming and debugging. ‘.py‘ files contain human-readable source code written by developers, while ‘.pyc’ files are compiled bytecode generated by the Python interpreter to speed up module loading. In this article, we will explore what .py and .pyc files are, their purposes, and the key differences between them.

     What is a .py File?A .py file is a plain text file that contains Python source code. This is the file you write your code in when you are developing a Python program. Here are some key points about .py files:

     • Editable: .py files are human-readable and can be edited using any text editor or an Integrated Development Environment (IDE) like PyCharm, VSCode, or Jupyter Notebook.
     • Source Code: These files contain the actual source code that you write in Python.
     • Execution: To run a .py file, you use the Python interpreter. For example, you can run a file named script.py using the command python script.py in the terminal or command prompt.

     Example of a .py file:

     -# code# script.pydef greet(name): print(f"Hello, {name}!")greet("World")-

     What is a .pyc File?A .pyc file is a compiled Python file. When you run a Python program, the interpreter compiles the source code into bytecode, which is a low-level set of instructions that can be executed by the Python virtual machine (PVM). This bytecode is then saved as a .pyc file....

     • Non-editable: .pyc files are not meant to be edited by humans. They are in a binary format that is optimized for execution by the PVM.
     • Bytecode: These files contain the compiled bytecode generated from the source code in .py files.
     • Execution: The Python interpreter can execute .pyc files directly, which allows for faster startup times since the code does not need to be recompiled each time it is run.
     • Performance: The use of .pyc files improves the performance of Python programs by reducing the time needed for code compilation during program startup.
     • Distribution: When distributing Python applications, it’s common to include .pyc files to ensure faster execution on the user’s machine.
     • Debugging: While developing and debugging, working with .py files is essential since they contain the human-readable source code. However, being aware of .pyc files helps in understanding how Python manages execution.

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     5/5

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2. runestone.academy · ns · books10.3. Dictionaries and Files — Python for Everybody - Interactive

   runestone.academy · ns · books

   

   Dictionaries and Files ¶. One of the common uses of a dictionary is to count the occurrence of words in a file with some written text. Let’s start with a very simple file of words taken from the text of Romeo and Juliet.

3. Videos

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     11. Dictionaries and Tuples [Python 3 Programming Tutorials]

     May 8, 2019

     135.9K Views

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     Word Dictionary using pydictionary api in Python #4

     Apr 16, 2019

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     Comparison between list, Tuple ,Set and Dictionary

     Apr 27, 2021

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5. www.w3schools.com · python · python_dictionariesPython Dictionaries - W3Schools

   www.w3schools.com · python · python_dictionaries

   

   Dictionary. Dictionaries are used to store data values in key:value pairs. A dictionary is a collection which is ordered*, changeable and do not allow duplicates. As of Python version 3.7, dictionaries are ordered. In Python 3.6 and earlier, dictionaries are unordered.

   Code sample

   thisdict ={

     "brand": "Ford",

     "model": "Mustang",

     "year": 1964

   }...

   See more on w3schools

6. realpython.com · python-dictsDictionaries in Python – Real Python

   realpython.com · python-dicts

   

   Python provides another composite data type called a dictionary, which is similar to a list in that it is a collection of objects. Here’s what you’ll learn in this tutorial: You’ll cover the basic characteristics of Python dictionaries and learn how to access and manage dictionary data.

7. stackoverflow.com · questions · 38885375Need explanation difference between json and dict in Python

   stackoverflow.com · questions · 38885375

   

   Aug 11, 2016 · Some of the important differences between JSON and dictionary are as follows: The keys in JSON can be only strings where as the keys in the dictionary can be any hashable object. In JSON, the keys are sequentially ordered and can be repeated where as in the dictionary, the keys cannot be repeated and must be distinct.

8. www.geeksforgeeks.org · difference-between-jsonDifference between Json and Dictionary in Python

   www.geeksforgeeks.org · difference-between-json

   

   Dec 22, 2023 · In Python, dictionaries and JSON (JavaScript Object Notation) both facilitate structured data representation, yet they diverge in usage and syntax. In this article, we will discuss the Definition of JSON and Dictionary and the difference between JSON and Dictionary in Python.

9. www.freecodecamp.org · news · create-a-dictionary-inHow to Create a Dictionary in Python - freeCodeCamp.org

   www.freecodecamp.org · news · create-a-dictionary-in

   

   Mar 14, 2022 · How to Create a Dictionary in Python. A dictionary in Python is made up of key-value pairs. In the two sections that follow you will see two ways of creating a dictionary. The first way is by using a set of curly braces, {}, and the second way is by using the built-in dict() function.

10. People also ask

    What is a dictionary in Python?

    • Dictionaries are used to store data values in key:value pairs. A dictionary is a collection which is ordered*, changeable and do not allow duplicates. As of Python version 3.7, dictionaries are ordered. In Python 3.6 and earlier, dictionaries are unordered. Dictionaries are written with curly brackets, and have keys and values:

    Python Dictionaries - W3Schools

    www.w3schools.com/python/python_dictionaries.asp

    See all results for this question

    How do dictionaries work in Python?

    • In Python 3.6 and earlier, dictionaries are unordered. Dictionaries are written with curly brackets, and have keys and values: Create and print a dictionary: Dictionary items are ordered, changeable, and do not allow duplicates. Dictionary items are presented in key:value pairs, and can be referred to by using the key name.

    Python Dictionaries - W3Schools

    www.w3schools.com/python/python_dictionaries.asp

    See all results for this question

    Are dictionaries ordered in Python?

    • As of Python version 3.7, dictionaries are ordered. In Python 3.6 and earlier, dictionaries are unordered. Dictionaries are written with curly brackets, and have keys and values: Create and print a dictionary: Dictionary items are ordered, changeable, and do not allow duplicates.

    Python Dictionaries - W3Schools

    www.w3schools.com/python/python_dictionaries.asp

    See all results for this question

    What is the difference between JSON and dictionary in Python?

    • In this article, we will discuss the Definition of JSON and Dictionary and the difference between JSON and Dictionary in Python. Dictionaries, native to Python, are employed for in-memory data structures, allowing direct manipulation. In contrast, JSON serves as a standardized string-based format, vital for data exchange between systems.

    Difference between Json and Dictionary in Python

    www.geeksforgeeks.org/difference-between-json-and-dictionary-in-python/

    See all results for this question

11. medium.com · analytics-vidhya · python-dictionaryPython Dictionary and JSON — A Comprehensive Guide

    medium.com · analytics-vidhya · python-dictionary

    

    Aug 8, 2020 · Python has a library called json that allows you to convert JSON into dictionary and vice versa, write JSON data into a file, read JSON data from a file, among other things that we shall learn.