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  • The Python Tutorial — Python 3. 14. 5 documentation
    The Python Tutorial ¶ Tip This tutorial is designed for programmers that are new to the Python language, not beginners who are new to programming Python is an easy to learn, powerful programming language It has efficient high-level data structures and a simple but effective approach to object-oriented programming
  • Python 3. 14. 5 documentation
    This page is licensed under the Python Software Foundation License Version 2 Examples, recipes, and other code in the documentation are additionally licensed under the Zero Clause BSD License
  • tkinter — Python interface to Tcl Tk — Python 3. 14. 5 documentation
    Running python -m tkinter from the command line should open a window demonstrating a simple Tk interface, letting you know that tkinter is properly installed on your system, and also showing what version of Tcl Tk is installed, so you can read the Tcl Tk documentation specific to that version
  • argparse — Parser for command-line options, arguments and . . . - Python
    Tutorial This page contains the API reference information For a more gentle introduction to Python command-line parsing, have a look at the argparse tutorial The argparse module makes it easy to write user-friendly command-line interfaces The program defines what arguments it requires, and argparse will figure out how to parse those out of sys argv The argparse module also automatically
  • 9. Classes — Python 3. 14. 5 documentation
    9 2 Python Scopes and Namespaces ¶ Before introducing classes, I first have to tell you something about Python’s scope rules Class definitions play some neat tricks with namespaces, and you need to know how scopes and namespaces work to fully understand what’s going on
  • 5. Data Structures — Python 3. 14. 5 documentation
    5 Data Structures ¶ This chapter describes some things you’ve learned about already in more detail, and adds some new things as well 5 1 More on Lists ¶ The list data type has some more methods Here are all of the methods of list objects: list append(value, ) Add an item to the end of the list Similar to a[len(a):] = [x] list extend(iterable, ) Extend the list by appending all the
  • 3. An Informal Introduction to Python — Python 3. 14. 5 documentation
    3 An Informal Introduction to Python ¶ In the following examples, input and output are distinguished by the presence or absence of prompts (>>> and …): to repeat the example, you must type everything after the prompt, when the prompt appears; lines that do not begin with a prompt are output from the interpreter Note that a secondary prompt on a line by itself in an example means you must
  • 6. Modules — Python 3. 14. 5 documentation
    See section Standard Modules for more information 6 1 3 “Compiled” Python files ¶ To speed up loading modules, Python caches the compiled version of each module in the __pycache__ directory under the name module version pyc, where the version encodes the format of the compiled file; it generally contains the Python version number


















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