Sanjaay Gowda T S

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Python and data workflows · EDITION 1.0.0

Work Reliably with Dates and Time Zones

Build a zoneinfo session normalizer that handles ambiguous local times, rejects nonexistent times and separates elapsed duration from wall-clock differences.

By Sanjaay Gowda T S · For python developers and analysts handling appointments or reports across time zones.

20-page PDF + EPUB9 chaptersCompanion Python projectEdition 1.0.0
You need: Python datetime basics; JSON records and exceptions; Understanding calendar dates and clock times

Runtime and hardware details

Python 3.10 or later and a terminal. The supplied project runs locally and uses the Python standard library.

No model, API key, cloud account or network calls are used by the companion.

Python datetime basics; JSON records and exceptions; Understanding calendar dates and clock times.

Named time zones require an IANA time-zone database. If your operating system lacks one, install the Python tzdata package in your own environment and record its version.

Full setup and scope ↓

$2.99USD · one-time purchase

Prepared with AI assistance. Independent human technical, editorial and assistive-technology reader review remains pending. Automated checks and agent review are not certification.

Edition notes ↗

PDF + EPUB + companion project. Any applicable tax is shown at checkout. Single-reader ebook terms; companion code is MIT licensed.

Work Reliably with Dates and Time Zones - book cover

TRY THE FREE SAMPLE

See how the guide teaches.

Read 7 sample pages to explore the introduction, first chapter and teaching approach before you choose the complete edition.

Read free sample PDF · No checkout required

WHAT YOU WILL LEARN

Understand each part.
Inspect every boundary.

Separate temporal meanings

Distinguish business dates, local clock readings and instants.

Resolve local ambiguity

Use round-trip validation and explicit fold choices for repeated clock times.

Measure on the right timeline

Calculate elapsed seconds in UTC and derive reporting dates in a named zone.

INSIDE THE BOOK

9 focused chapters.

  1. Name the time you mean
  2. Define a timestamp contract
  3. Resolve local time deliberately
  4. Reject gaps and disambiguate folds
  5. Measure elapsed duration in UTC
  6. Choose the reporting day
  7. Preserve time-zone evidence
  8. Test transitions and boundaries
  9. Review temporal changes

Your download includes

  • 20-page tagged PDF with linked contents
  • Reflowable EPUB for ebook readers
  • Local Python project, fictional input, recorded expected JSON output and 14 companion tests
  • 3 explanatory diagrams
  • 9 chapters with exercises and worked answers

Before you begin

Python 3.10 or later and a terminal. The supplied project runs locally and uses the Python standard library.

No model, API key, cloud account or network calls are used by the companion.

Learning prerequisites: Python datetime basics; JSON records and exceptions; Understanding calendar dates and clock times.

Named time zones require an IANA time-zone database. If your operating system lacks one, install the Python tzdata package in your own environment and record its version.

Prepared with AI assistance. Independent human technical, editorial and assistive-technology reader review is pending.

The included examples are synthetic teaching material. Model access, software subscriptions, hosting, ongoing updates and consulting are not included.

CLEAR EXPECTATIONS

Before you buy.

What will I build?

Build a zoneinfo session normalizer that handles ambiguous local times, rejects nonexistent times and separates elapsed duration from wall-clock differences. The local companion uses fictional teaching fixtures. Project limits: Requires available IANA time-zone data; Minute-resolution session endpoints only; No recurrence, business calendars or interval splitting; Grouping assigns full duration to start day; Zone-data updates may change affected interpretations.

What was tested?

The 14 companion tests passed on the packaged project. The supplied fictional fixture produced its recorded expected JSON output. EPUBCheck reported no errors or warnings; DAISY Ace and PDF/UA automated checks passed. These local teaching checks are not production accuracy claims or certification. Independent human technical, editorial and assistive-technology reader review remains pending.

How do I get the files?

Complete the secure Lemon Squeezy checkout to access the PDF, EPUB and companion ZIP. Keep your receipt and download access private. This is a one-time purchase of edition 1.0.0; ongoing updates and consulting are not included.

Can I share the book or the companion code?

The full ebook is licensed to one reader. The labelled free sample may be shared unchanged. The companion project is MIT licensed and may be adapted or shared with its licence notice. See the exact ebook terms.

Resolve local appointments, reject clock gaps and measure elapsed time on an explicit timeline

One book. A complete learning project. Evidence you can inspect.

AI-assisted · Independent human review pending