Python Language
- Getting started with Python Language
- Awesome Book
- Awesome Community
- Awesome Course
- Awesome Tutorial
- Awesome YouTube
- *args and **kwargs
- 2to3 tool
- Abstract Base Classes (abc)
- Abstract syntax tree
- Accessing Python source code and bytecode
- Alternatives to switch statement from other languages
- ArcPy
- Arrays
- Asyncio Module
- Attribute Access
- Audio
- Basic Curses with Python
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- Call Python from C#
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- ChemPy - python package
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- Code blocks, execution frames, and namespaces
- Collections module
- Comments and Documentation
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- configparser
- Connecting Python to SQL Server
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- Copying data
- Counting
- Create virtual environment with virtualenvwrapper in windows
- Creating a Windows service using Python
- Creating Python packages
- ctypes
- Data Serialization
- Data Visualization with Python
- Database Access
- Date and Time
- Basic datetime objects usage
- Computing time differences
- Constructing timezone-aware datetimes
- Converting timestamp to datetime
- Fuzzy datetime parsing (extracting datetime out of a text)
- Get an ISO 8601 timestamp
- Iterate over dates
- Parsing a string into a timezone aware datetime object
- Parsing a string with a short time zone name into a timezone aware datetime object
- Parsing an arbitrary ISO 8601 timestamp with minimal libraries
- Simple date arithmetic
- Subtracting months from a date accurately
- Switching between time zones
- Date Formatting
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- Deque Module
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- getting start with GZip
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- groupby()
- hashlib
- Heapq
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- Immutable datatypes(int, float, str, tuple and frozensets)
- Importing modules
- Incompatibilities moving from Python 2 to Python 3
- Indentation
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- Input, Subset and Output External Data Files using Pandas
- Introduction to RabbitMQ using AMQPStorm
- IoT Programming with Python and Raspberry PI
- Iterables and Iterators
- Itertools Module
- JSON Module
- kivy - Cross-platform Python Framework for NUI Development
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- Linked lists
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- Mutable vs Immutable (and Hashable) in Python
- Neo4j and Cypher using Py2Neo
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- os.path
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- Pickle data serialisation
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- Set
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- String representations of class instances: __str__ and __repr__ methods
- Subprocess Library
- sys
- tempfile NamedTemporaryFile
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- The base64 Module
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- The locale Module
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- The pass statement
- The Print Function
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- Unit Testing
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- urllib
- Usage of "pip" module: PyPI Package Manager
- User-Defined Methods
- Using loops within functions
- Variable Scope and Binding
- virtual environment with virtualenvwrapper
- Virtual environments
- Web scraping with Python
- Web Server Gateway Interface (WSGI)
- Webbrowser Module
- Websockets
- Working around the Global Interpreter Lock (GIL)
- Working with ZIP archives
- Writing extensions
- Writing to CSV from String or List
Python Language Date and Time Parsing a string into a timezone aware datetime object
Example
Python 3.2+ has support for %z format when parsing a string into a datetime object.
UTC offset in the form
+HHMMor-HHMM(empty string if the object is naive).
Python 3.x3.2
import datetime
dt = datetime.datetime.strptime("2016-04-15T08:27:18-0500", "%Y-%m-%dT%H:%M:%S%z")
For other versions of Python, you can use an external library such as dateutil, which makes parsing a string with timezone into a datetime object is quick.
import dateutil.parser
dt = dateutil.parser.parse("2016-04-15T08:27:18-0500")
The dt variable is now a datetime object with the following value:
datetime.datetime(2016, 4, 15, 8, 27, 18, tzinfo=tzoffset(None, -18000))
