Slice object
A slice object is a Python object specifying start, stop, and step parameters for selecting elements from a sequence or other sliceable object.
Pandas Workout: 200 exercises to make you a stronger data analyst
A slice is Python sequence syntax or an object specifying a range of positional elements to retrieve.
- How it is used
- Uses slices to retrieve relevant sequence elements, rows, columns, or substrings during pandas analysis and data cleaning.
- How deep it goes
- Explains positional, labeled, DataFrame, and string slicing with worked operations, but does not develop slice internals.
- Examples
- Demonstrates semester averages, labeled months, DataFrame rows, and character extraction from string Series.
- What you can do after
- Apply it via pandas to select ranges positionally, by label, from DataFrame rows, or within every string value.
Read how Pandas Workout: 200 exercises to make you a stronger data analyst explains slice object →
Python Workout, Second Edition
A slice is a Python specification of start, stop, and step bounds for selecting elements from a sequence or other sliceable object.
- How it is used
- Selects subsets of strings, lists, tuples, and other indexable sequences for concise retrieval and iteration.
- How deep it goes
- Explains bounds, steps, result types, forgiving limits, and loop applications, but does not descend into slice-object internals.
- Examples
- Uses stepped strings, final-list-element selection, tuple and list slices, and a summation loop over items[1:].
- What you can do after
- Apply slices via Python sequence syntax to retrieve ranges, skip elements, handle edges, and iterate over selected data.
Read how Python Workout, Second Edition explains slice object →
Python How-To
A slice object is a Python object that represents the start, stop, and step parameters for selecting elements from a sequence.
- How it is used
- Represents reusable sequence-selection boundaries and supports readable parsing or manipulation of sequence data.
- How deep it goes
- Explains construction, attributes, indexing, named reuse, range differences, and mutable-sequence surgery, including strided assignment.
- Examples
- Uses odd-number selection, named task-field slices, fixed-width records, strided replacement, and subsequence deletion.
- What you can do after
- Apply it via Python sequence subscripting, named fixed-width parsing, and mutable-list replacement or deletion.
Related concepts
- sequenceused by · A sequence is an ordered collection of elements whose positions determine their order of traversal or processing.
- slicingused by · Slicing selects or partitions a portion of an indexed sequence or multidimensional array, often along specified indices or dimensions.
- rangecontrasts with · A language or API construct that represents or generates an ordered sequence or interval of values, with its bounds and any step interpreted according to that language or API.
- token iduses · A token ID is a numeric identifier assigned to a token in a vocabulary so it can be represented and processed numerically.
- stringused by · A string is a programming-language value representing an ordered sequence of characters or character units as text.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.