“The python DateTime module supplies classes for manipulating dates and times in both simple and complex ways.”
So, the Python DateTime modules contain several classes. Let us discuss them one by one.
Let’s discuss how to use the
datetime.datetime.today() prints today’s date. See the example below.
>>> print datetime.datetime.today() 2018–08–19 22:49:24.169000
datetime.datetime.now() displays the same output as that produced by the datetime.datetime.today().
>>> print datetime.datetime.now() 2018–08–19 22:49:51.541000
But if you provide the time zone then datetime.datetime.now() returns the current time of the specified time zone.
>>> >>> import pytz >>> pytz.utc >>> print datetime.datetime.now(pytz.utc) 2018–08–19 17:23:34.614000+00:00
If you provide the time zone information in a string then the interpreter throws an error.
>>> print datetime.datetime.now(‘US/Eastern’) Traceback (most recent call last): File “<stdin>”, line 1, in <module> TypeError: tzinfo argument must be None or of a tzinfo subclass, not type ‘str’ >>>
datetime.strptime(date_string, format) takes
date_string, formats it as an argument, and returns the datetime object. This is shown below.
>>> import datetime >>> datetime.datetime.strptime(“May 12 2018”, “%B %d %Y”) datetime.datetime(2018, 5, 12, 0, 0) >>> print datetime.datetime.strptime(“May 12 2018 13:03:29”, “%B %d %Y %H:%M:%S”) 2018–05–12 13:03:29
strftime(format) is used generate the formatted date from the
>>> print datetime.datetime.now().strftime(“%d %b, %Y”) 22 Aug, 2018
This method converts seconds to a 24-character string in the following form: “Mon Jun 20 23:21:05
>>> datetime.datetime.now().ctime() ‘Thu Aug 23 00:07:28 2018’ >>>
isoformat() returns a string representing the date in ISO 8601 format, ‘YYYY-MM-DD’. For example:
>>> datetime.datetime.now().isoformat() ‘2018–08–23T00:11:32.393000’ >>>
Let’s now discuss the datetime.date class.
This method returns today’s date. For example:
>>> import datetime >>> print datetime.datetime.today() 2018–08–23 23:18:22.044000 >>>
This method converts a Unix stamp or epoch to a date. For example:
>>> print datetime.date.fromtimestamp(0) 1970–01–01 >>> >>> import time >>> time.time() 1535047001.754 >>> >>> print datetime.date.fromtimestamp(1535047001.754) 2018–08–23 >>>
datetime.timedelta is used to create a time difference between two dates or times.
The datetime.timedelta class takes keyworded arguments. According to the Python docs:
Note : “All arguments are optional and default to 0. Arguments may be ints, longs, or floats, and may be positive or negative. Only days, seconds, and microseconds are stored internally. Arguments are converted to those units.”
Let’s create twp different exercises for delta.
Let’s create a time delta of 10 seconds.
>>> import datetime >>> delta1=datetime.timedelta(seconds=10)
Next, we’ll subtract the time delta from the current time.
>>> now1 = datetime.datetime.now() >>> now1 datetime.datetime(2018, 8, 24, 22, 53, 56, 488000) >>> print now1 2018–08–24 22:53:56.488000 >>> print now1 — delta1 2018–08–24 22:53:46.488000
Now, we add the time delta to the current time.
>>> print now1 + delta1 2018–08–24 22:54:06.488000 >>>
Let’s do another, more complete exercise.
Let’s go step by step
>>> import datetime >>> import time
Create two deltas for time difference one for 10 days ago and one for 10 days later.
>>> delta1=datetime.timedelta(days=10) >>> delta2=datetime.timedelta(days=-10)
Add both deltas to the current time.
>>> now1 = datetime.datetime.now() >>> ten_days_ago = now1+delta2 >>> >>> ten_days_later = now1+delta1 >>> >>> print ten_days_ago 2018–08–14 23:09:04.861000 >>> >>> print ten_days_later 2018–09–03 23:09:04.861000 >>>
In order to remove the use of a floating point, the
strftime method has been used.
>>> date1 = ten_days_ago.strftime( “%Y-%m-%d %H:%M:%S” ) >>> date1 ‘2018–08–14 23:09:04’
By the time we use the module, the Unix time or epochs have been created.
>>> int(time.mktime(time.strptime(date1, ‘%Y-%m-%d %H:%M:%S’) ) ) 1534268344 >>> >>> date2 = ten_days_later.strftime(“%Y-%m-%d %H:%M:%S”) >>> >>> int(time.mktime( time.strptime(date2, ‘%Y-%m-%d %H:%M:%S’) ) ) 1535996344 >>>
Now we’ll use calendar module to print the calendar of a particular month. In order to print a particular month, calendar.month(year, month) will be used as shown below.
>>> import calendar >>> print calendar.month(2018,8) August 2018 Mo Tu We Th Fr Sa Su 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 >>>
Let’s print the calendar for the 2018 year.
>>> import calendar >>> print calendar.calendar(2018)
Consider if you want to find out whether a particular year is a leap year or not. You can use
calendar.isleap(year). See the example below.
>>> calendar.isleap( 2000 ) True >>> calendar.isleap( 2001 ) False >>> calendar.isleap( 2016 ) True >>> calendar.isleap( 1992 )
Consider if you want to find out the number of leap years in the range of y1 to y2. See the example below.
>>> calendar.leapdays( 1992 , 2016 ) 6 >>> calendar.leapdays( 1991 , 2015 ) 6 >>>
The last year is not included in the range.
Consider that you want to know the time in different countries. By default, time-related modules return the time according to your time zone. Let’s see how to get the time from a different country.
>>> import datetime >>> import pytz
Let’s check the current time of ‘US/Eastern.’
>>> print datetime.datetime.now(pytz.timezone(‘US/Eastern’)) 2018–08–25 14:25:34.712000–04:00 >>>
Let’s check the current time in Kolkata, India.
>>> print datetime.datetime.now(pytz.timezone(‘Asia/Kolkata’)) 2018–08–25 23:56:40.564000+05:30
If you don’t know the name of the time zone, then you can use search the time zone using the country name.
>>> pytz.country_timezones.get(“NZ”) [u’Pacific/Auckland’, u’Pacific/Chatham’] >>>
New Zealand has two timezones.
Let us check the name of the timezone of India
>>> pytz.country_timezones.get(“IN”) [u’Asia/Kolkata’] >>> pytz.country_timezones.keys()
The above line returns the list of country abbreviations as a shown example below.
[u’BD’, u’BE’, u’BF’, u’BG’, u’BA’, u’BB’, u’WF’, u’BL’, u’BM’, u’BN’, u’BO’, u’BH’, u’BI’, u’BJ’, u’BT’, u’JM’, u’BW’, u’WS’, u’BQ’, u’BR’, u’BS’, u’JE’, u’BY’ So on…….]
If you want to confirm whether ‘abbreviation IN’ belongs to India or other countries like Iran, you can use
pytz.country_names.get( ‘IN’ ).
>>> print (pytz.country_names.get( ‘IN’ ) ) #Prints "India"
If you want to check all the countries and their abbreviations, use the following piece of code:
>>> for each in pytz.country_names.iteritems(): … print each … (u’BD’, u’Bangladesh’) (u’BE’, u’Belgium’) (u’BF’, u’Burkina Faso’) (u’BG’, u’Bulgaria’)
Thanks for reading !
March 25, 2021 Deepak@321 0 Comments
Welcome to my blog, In this article, we will learn the top 20 most useful python modules or packages and these modules every Python developer should know.
Hello everybody and welcome back so in this article I’m going to be sharing with you 20 Python modules you need to know. Now I’ve split these python modules into four different categories to make little bit easier for us and the categories are:
Near the end of the article, I also share my personal favorite Python module so make sure you stay tuned to see what that is also make sure to share with me in the comments down below your favorite Python module.
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No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas.
By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities.
Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly.
Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.
Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions.
Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events.
Simple to read and compose
Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building.
The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties.
Utilized by the best
Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player.
Massive community support
Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions.
Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking.
Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.
The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.
Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential.
The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.
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This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you’ll be a python programmer in no time!
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (1:45) Installing Python & PyCharm
⌨️ (6:40) Setup & Hello World
⌨️ (10:23) Drawing a Shape
⌨️ (15:06) Variables & Data Types
⌨️ (27:03) Working With Strings
⌨️ (38:18) Working With Numbers
⌨️ (48:26) Getting Input From Users
⌨️ (52:37) Building a Basic Calculator
⌨️ (58:27) Mad Libs Game
⌨️ (1:03:10) Lists
⌨️ (1:10:44) List Functions
⌨️ (1:18:57) Tuples
⌨️ (1:24:15) Functions
⌨️ (1:34:11) Return Statement
⌨️ (1:40:06) If Statements
⌨️ (1:54:07) If Statements & Comparisons
⌨️ (2:00:37) Building a better Calculator
⌨️ (2:07:17) Dictionaries
⌨️ (2:14:13) While Loop
⌨️ (2:20:21) Building a Guessing Game
⌨️ (2:32:44) For Loops
⌨️ (2:41:20) Exponent Function
⌨️ (2:47:13) 2D Lists & Nested Loops
⌨️ (2:52:41) Building a Translator
⌨️ (3:00:18) Comments
⌨️ (3:04:17) Try / Except
⌨️ (3:12:41) Reading Files
⌨️ (3:21:26) Writing to Files
⌨️ (3:28:13) Modules & Pip
⌨️ (3:43:56) Classes & Objects
⌨️ (3:57:37) Building a Multiple Choice Quiz
⌨️ (4:08:28) Object Functions
⌨️ (4:12:37) Inheritance
⌨️ (4:20:43) Python Interpreter
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=rfscVS0vtbw&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=3
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Module: It is a simple Python file that contains collections of functions and global variables and has a “.py” extension file. It’s an executable file and we have something called a “Package” in Python to organize all these modules.
Package: It is a simple directory which has collections of modules, i.e., a package is a directory of Python modules containing an additional init.py file. It is the init.py which maintains the distinction between a package and a directory that contains a bunch of Python scripts. A Package simply is a namespace. A package can also contain sub-packages.
When we import a module or a package, Python creates a corresponding object which is always of type module . This means that the dissimilarity is just at the file system level between module and package.
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Python is one of the most popular programming languages currently. It looks like this trend is about to continue in 2021 and beyond. So, if you are a Python beginner, the best thing you can do is work on some real-time Python project ideas.
We, here at upGrad, believe in a practical approach as theoretical knowledge alone won’t be of help in a real-time work environment. In this article, we will be exploring some interesting Python project ideas which beginners can work on to put their Python knowledge to test. In this article, you will find 42 top python project ideas for beginners to get hands-on experience on Python
Moreover, project-based learning helps improve student knowledge. That’s why all of the upGrad courses cover case studies and assignments based on real-life problems. This technique is ideally for, but not limited to, beginners in programming skills.
But first, let’s address the more pertinent question that must be lurking in your mind:
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