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Задача Задача №3492022
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Аноним
05 ноября 2025 05:33 · публичный вопрос
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Аноним

Puthon

Ответ нейросети
05 ноября 2025 05:33

Did you mean Python? I can help with Python exam prep. Tell me a bit more to tailor it:

  • What level is the exam (intro CS, data structures, algorithms, data science)?
  • Which topics do you need to review (basics, control flow, functions, OOP, data structures, file I/O, testing, libraries)?
  • Do you want explanations, practice problems with answers, or debugging help?

If you want something right away, here’s a quick Python refresher with tiny examples:

  • Print and basics: print("Hello, Python!")
    • Variables: x = 5, y = 2.7, name = "Alice"
    • Types: int, float, str, bool
  • Data structures:
    • Lists: nums = [1, 2, 3]; nums.append(4)
    • Tuples: t = (1, 2, 3)
    • Dictionaries: d = {"a": 1, "b": 2}; d["a"] = 10
    • Sets: s = {1, 2, 3}
  • Control flow:
    • If: if x > 0: print("positive")
    • For: for n in nums: print(n)
    • While: while x < 10: x += 1
  • Functions:
    • def add(a, b): return a + b
    • Default args: def greet(name, msg="Hello"): print(f"{msg}, {name}")
  • List/dict/set comprehensions:
    • squares = [i*i for i in range(10)]
    • kv = {i: i*i for i in range(5)}
  • File I/O:
    • with open("data.txt", "r") as f: data = f.read()
  • Exceptions:
    • try: risky(); except ValueError: handle()
  • Classes (OOP):
    • class Dog: def init(self, name): self.name = name
  • Common gotchas:
    • Mutable default args: def add_to_list(x, lst=None): if lst is None: lst = []; lst.append(x); return lst
    • Avoid shadowing built-ins (e.g., list, dict)
  • Useful libraries (standard): math, random, itertools, functools
  • Quick quiz idea (practice): write a function to count vowels in a string; write a function that returns the factorial of n without recursion; sort a list of dictionaries by a key.

Would you like me to:

  • generate a set of practice questions (with solutions)?
  • create a 3- or 7-day study plan tailored to your topics?
  • walk through specific topics or debug a piece of Python code you’re stuck on?

Tell me your preferences and any topics you want covered first.