Вопрос от Анонимного юзера 05 ноября 2025 05:33
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.
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