In this article, you will learn how to calculate the mean of a list in Python.
Let’s say you have a list named ‘a’ with value [1, 2, 3, 4, 5].
a = [1, 2, 3, 4, 5]
In order to calculate the mean of a list, you can use the
## Import statistics module import statistics a = [1, 2, 3, 4, 5] print(statistics.mean(a)) ## => 3
statistics.mean() method functions by returning the mean of a supplied list. In statistics,
mean refers to the average of a set of values.
Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map
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.
#python development services #python development company #python app development #python development #python in web development #python software development
Python Programming language makes everything easier and straightforward. Effective use of its built-in libraries can save a lot of time and help with faster submissions while doing Competitive Programming. Below are few such useful tricks that every Pythonist should have at their fingertips:
Below is the implementation to convert a given number into a list of digits:
#competitive programming #python programs #python-itertools #python-library #python-list #python-list-of-lists #python-map
Python lists are a built-in type of data used to store items of any data type such as strings, integers, booleans, or any sort of objects, into a single variable.
Lists are created by enclosing one or multiple arbitrary comma-separated objects between square brackets.
#python-programming #python #tutorial #list-manipulation #python-list #the anatomy of python lists
The beyonic APIs Docs Reference: https://apidocs.beyonic.com/
Discuss Beyonic API on slack
The Beyonic API is a representational state transfer, REST based application programming interface that lets you extend the Beyonic dashboard features into your application and systems, allowing you to build amazing payment experiences.
With the Beyonic API you can:
For usage, general questions, and discussions the best place to go to is Beyhive Slack Community, also feel free to clone and edit this repository to meet your project, application or system requirements.
To start using the Beyonic Python API, you need to start by downloading the Beyonic API official Python client library and setting your secret key.
Install the Beyonic API Python Official client library
>>> pip install beyonic
Setting your secrete key.
To set the secrete key install the python-dotenv modeule, Python-dotenv is a Python module that allows you to specify environment variables in traditional UNIX-like “.env” (dot-env) file within your Python project directory, it helps us work with SECRETS and KEYS without exposing them to the outside world, and keep them safe during development too.
Installing python-dotenv modeule
>>> pip install python-dotenv
Creating a .env file to keep our secrete keys.
>>> touch .env
Inside your .env file specify the Beyonic API Token .
BEYONIC_ACCESS_KEY = "enter your API "
You will get your API Token by clicking your user name on the bottom left of the left sidebar menu in the Beyonic web portal and selecting ‘Manage my account’ from the dropdown menu. The API Token is shown at the very bottom of the page.
import os import beyonic from dotenv import load_dotenv load_dotenv() myapi = os.environ['BEYONIC_ACCESS_KEY'] beyonic.api_key = myapi # Listing account: Working. accounts = beyonic.Account.list() print(accounts) #Listing currencies: Not working yet. ''' supported_currencies = beyonic.Currency.list() print(supported_currencies) Supported currencies are: USD, UGX, KES, BXC, GHS, TZS, RWF, ZMW, MWK, BIF, EUR, XAF, GNF, XOF, XOF ''' #Listing networks: Not working yet. """ networks = beyonic.Network.list() print(networks) """ #Listing transactions: Working. transactions = beyonic.Transaction.list() print(transactions) #Listing contact: Working. mycontacts = beyonic.Contact.list() print(mycontacts) #Listing events: Not working yet. ''' events = beyonic.Event.list() print(events) Error: AttributeError: module 'beyonic' has no attribute 'Event' '''
FROM python:3.8-slim-buster COPY . . COPY ./requirements.txt ./requirements.txt WORKDIR . RUN pip install -r requirements.txt CMD [ "python3", "getExamples.py" ]
Build docker image called demo
>>> docker build -t bey .
Run docker image called demo
>>>docker run -t -i bey
Now, I’ll create a Docker compose file to run a Docker container using the Docker image we just created.
version: "3.6" services: app: build: . command: python getExamples.py volumes: - .:/pythonBeyonicExamples
Now we are going to run the following command from the same directory where the docker-compose.yml file is located. The docker compose up command will start and run the entire app.
docker compose up
NB: The screenshot below might differ according to your account deatils and your transcations in deatils.
To stop the container running on daemon mode use the below command.
docker compose stop
Contributing to this repository. All contributions, bug reports, bug fixes, enhancements, and ideas are welcome, You can get in touch with me on twitter @HarunMbaabu.
Source Code: https://github.com/HarunMbaabu/BeyonicAPI-Python-Examples