Скачать или смотреть Master Python Sequence Data Types: String, List, Tuple, Range, Bytes, Bytearray

Unlock the secrets of Sequence Data Types in Python to confidently work with string, list, tuple, range, bytes, bytearray, and memoryview. Whether you’re a beginner or a Python enthusiast, this deep dive will help you index, slice, iterate, pack/unpack, handle mutability/immutability, and choose the right sequence for performance and safety. Learn the core sequence protocols (len, iteration, containment), practical methods, and real-world patterns to write cleaner, bug-free code.

💡 What You’ll Learn

What is the Sequence Category in Python? (Common behaviors & Protocols)

Strings (str): immutability, slicing, methods, Unicode basics

Lists: mutability, methods (append/extend/insert/remove/sort), copying, list vs array

Tuples: immutability, packing/unpacking, namedtuple alternatives, hashability

range: memory-efficient iteration, start/stop/step, slicing ranges

bytes & bytearray: binary sequences, encoding/decoding, I/O use cases, mutability differences

memoryview: zero-copy slices on binary data, buffer protocol basics

Indexing & Slicing: negative indices, steps, slice objects, nested slicing

Operations: concatenation (+), repetition (*), membership (in), min/max/sum, sorted

Comprehensions & generator expressions: fast, readable data transforms

Copying & Mutability: shallow vs deep copy, common pitfalls, safe patterns

Performance Tips: when to use tuple vs list, range for large loops, bytes for I/O

Error-Proofing: avoiding off-by-one, slice mutability surprises, copying gotchas

🧩 Real-World Examples

Clean text processing with str + slicing

Efficient data pipelines with list comprehensions

tuple for fixed records & dictionary keys

Reading files into bytes/bytearray, zero-copy processing with memoryview

Large loops with range for speed + clarity

⚠️ Common Mistakes to Avoid

Assuming strings/lists behave the same (immutability!)

Modifying a list while iterating

Shallow copy traps (a = b, list(a), a[:] vs copy.deepcopy)

Misusing bytes/str encodings (.encode() / .decode())

Hidden cost of + in loops (prefer append/extend or join for strings)

✅ Practical Tips

Prefer tuple for fixed, read-only collections

Use list for dynamic sequences and in-place edits

Choose bytes/bytearray for binary I/O and protocol work

Reach for memoryview when slicing large binary data without copies

Measure with timeit when performance matters

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