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If you have been looking for a perfect product, and color scheme that speaks to you, building a brand that signifies the style and looks. If wondering how to start an online boutique like paradise for you, I’m not surprised. But maybe you’re thinking about what it takes to launch a digital boutique.
E-commerce Online Shopping Statistics
• More than 204 million people will make an online purchase in 2021, and 5 million users shopping online for the first time this year.
• Estimates show that consumers will make 95% of purchases online by 2040.
• Experts predict global eCommerce sales might be double in 2023, breaking the $6 trillion., breaking the $6 trillion.
• 72% of eCommerce are on a mobile device by 2021.
• 87% of shoppers today use eCommerce to decide to buy online
• 31% of U.S. Internet users aged 16-64 say they will shop more online after the pandemic is over, and 30% expect to visit brick-and-mortar stores less.
Starting an online boutique consumes a lot of time and investment, Let’s see the summarized for the next steps.
Planning your online boutique
If you are looking to start an online fashion boutique, you should know instinctively: you will need a business plan. But, don’t let the idea of a long business plan scare you away; the type of business plan you will need will vary, depending on if or you don’t use it as a keep to staying on track, or as a means to an end to apply for funding or a loan.
If you have enough funding to get start your business off the ground without applying for a loan from an investor or a bank, you will agree to a lean plan aimed at helping you solidify the planning process for yourself.
Decide on the platform for your boutique
Once you’ve finalized your plan, you’ll need to choose where you want to start an online boutique. Would you like your shop to benefit from the great organic traffic? Or, do you feel you have a little more control of your website, the layout, and the overall shopping experience?
There are pros and cons at once; ultimately, what products you sell, and how much control you want, in terms of customizing your online store.
Pick a right brand name
Be sure to pick a name you are totally in love with – this part of creating an online store should be a no-brainer. More importantly, though, make sure that this is a name that you will be able to say, without feeling embarrassed.
Create a cohesive aesthetic style
It’s time to delve into picture curation. A little different from the brand image (that we will see in a minute), the preservation of your image consists of developing the personal style of your online store.
What are the colors, fabrics, clothing, jewellery, and types of food that attract them? Well, that’s important for one great reason: aesthetic cohesiveness.
Develop your boutique’s unique brand
Your brand will be a combination of your preferred cohesive products, the name of your choice, the ideal customer, you are targeting and the overall layout of your website and social media platforms.
Your brand goes beyond the simple choice of a cohesive style of products for sale. Your brand is everything you do; from the colors and fonts you use on your website to the kinds of content you publish on social media.
Make your products stand out
You may have the best brand image and the most cohesive and well-structured Online Clothing store in the world, but if your products don’t get the chance to shine, you’ll eventually miss them.
While making your website itself more visually enjoyable is one of the main things, remember the importance of showcasing your products magnificently. This means high-quality photography, good lighting and backdrops, and possibly someone to model your products. You might have multiple options, depending on your budget.
Decide where you will purchase your products
Now you have a clear idea of the types of products you want to sell, and the brand that your online boutique going to say, it’s time to really start finding out the right products to sell online boutique
Determine how you intend to ship your products
If you have a plan for shipping your products is critical; if your shipping costs are too high, or your shipping time is too slow, you risk gaining your customers. You need to choose a right shipping solution
Social media
When it comes to social media, you’re going to want to make the most of it. As you start an online store, visual sites are likely to be in your interest; that means Pinterest and Instagram at the very least.
Use brand ambassadors
Marketing your new online boutique through social network sites, it’s a good idea to consider taking advantage of other bloggers and opinion leaders to your advantage.
Conclusion
As more customers turn to online businesses for their shopping needs, there has never been a better time to open this shop of your dreams. With the right combination of skills, a solid business plan, and a flexible ecommerce website development, you can get your online boutique in no time.
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The era of mobile app development has completely changed the scenario for businesses in regions like Abu Dhabi. Restaurants and food delivery businesses are experiencing huge benefits via smart business applications. The invention and development of the food ordering app have helped all-scale businesses reach new customers and boost sales and profit.
As a result, many business owners are searching for the best restaurant mobile app development company in Abu Dhabi. If you are also searching for the same, this article is helpful for you. It will let you know the step-by-step process to hire the right team of restaurant mobile app developers.
Searching for the top mobile app development company in Abu Dhabi? Don't know the best way to search for professionals? Don't panic! Here is the step-by-step process to hire the best professionals.
#Step 1 – Know the Company's Culture
Knowing the organization's culture is very crucial before finalizing a food ordering app development company in Abu Dhabi. An organization's personality is shaped by its common beliefs, goals, practices, or company culture. So, digging into the company culture reveals the core beliefs of the organization, its objectives, and its development team.
Now, you might be wondering, how will you identify the company's culture? Well, you can take reference from the following sources –
#Step 2 - Refer to Clients' Reviews
Another best way to choose the On-demand app development firm for your restaurant business is to refer to the clients' reviews. Reviews are frequently available on the organization's website with a tag of "Reviews" or "Testimonials." It's important to read the reviews as they will help you determine how happy customers are with the company's app development process.
You can also assess a company's abilities through reviews and customer testimonials. They can let you know if the mobile app developers create a valuable app or not.
#Step 3 – Analyze the App Development Process
Regardless of the company's size or scope, adhering to the restaurant delivery app development process will ensure the success of your business application. Knowing the processes an app developer follows in designing and producing a top-notch app will help you know the working process. Organizations follow different app development approaches, so getting well-versed in the process is essential before finalizing any mobile app development company.
#Step 4 – Consider Previous Experience
Besides considering other factors, considering the previous experience of the developers is a must. You can obtain a broad sense of the developer's capacity to assist you in creating a unique mobile application for a restaurant business.
You can also find out if the developers' have contributed to the creation of other successful applications or not. It will help you know the working capacity of a particular developer or organization. Prior experience is essential to evaluating their work. For instance, whether they haven't previously produced an app similar to yours or not.
#Step 5 – Check for Their Technical Support
As you expect a working and successful restaurant mobile app for your business, checking on this factor is a must. A well-established organization is nothing without a good technical support team. So, ensure whatever restaurant mobile app development company you choose they must be well-equipped with a team of dedicated developers, designers, and testers.
Strong tech support from your mobile app developers will help you identify new bugs and fix them bugs on time. All this will ensure the application's success.
#Step 6 – Analyze Design Standards
Besides focusing on an organization's development, testing, and technical support, you should check the design standards. An appealing design is crucial in attracting new users and keeping the existing ones stick to your services. So, spend some time analyzing the design standards of an organization. Now, you might be wondering, how will you do it? Simple! By looking at the organization's portfolio.
Whether hiring an iPhone app development company or any other, these steps apply to all. So, don't miss these steps.
#Step 7 – Know Their Location
Finally, the last yet very crucial factor that will not only help you finalize the right person for your restaurant mobile app development but will also decide the mobile app development cost. So, you have to choose the location of the developers wisely, as it is a crucial factor in defining the cost.
Summing Up!!!
Restaurant mobile applications have taken the food industry to heights none have ever considered. As a result, the demand for restaurant mobile app development companies has risen greatly, which is why businesses find it difficult to finalize the right person. But, we hope that after referring to this article, it will now be easier to hire dedicated developers under the desired budget. So, begin the hiring process now and get a well-craft food ordering app in hand.
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This Matplotlib cheat sheet introduces you to the basics that you need to plot your data with Python and includes code samples.
Data visualization and storytelling with your data are essential skills that every data scientist needs to communicate insights gained from analyses effectively to any audience out there.
For most beginners, the first package that they use to get in touch with data visualization and storytelling is, naturally, Matplotlib: it is a Python 2D plotting library that enables users to make publication-quality figures. But, what might be even more convincing is the fact that other packages, such as Pandas, intend to build more plotting integration with Matplotlib as time goes on.
However, what might slow down beginners is the fact that this package is pretty extensive. There is so much that you can do with it and it might be hard to still keep a structure when you're learning how to work with Matplotlib.
DataCamp has created a Matplotlib cheat sheet for those who might already know how to use the package to their advantage to make beautiful plots in Python, but that still want to keep a one-page reference handy. Of course, for those who don't know how to work with Matplotlib, this might be the extra push be convinced and to finally get started with data visualization in Python.
You'll see that this cheat sheet presents you with the six basic steps that you can go through to make beautiful plots.
Check out the infographic by clicking on the button below:
With this handy reference, you'll familiarize yourself in no time with the basics of Matplotlib: you'll learn how you can prepare your data, create a new plot, use some basic plotting routines to your advantage, add customizations to your plots, and save, show and close the plots that you make.
What might have looked difficult before will definitely be more clear once you start using this cheat sheet! Use it in combination with the Matplotlib Gallery, the documentation.
Matplotlib
Matplotlib is a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.
>>> import numpy as np
>>> x = np.linspace(0, 10, 100)
>>> y = np.cos(x)
>>> z = np.sin(x)
>>> data = 2 * np.random.random((10, 10))
>>> data2 = 3 * np.random.random((10, 10))
>>> Y, X = np.mgrid[-3:3:100j, -3:3:100j]
>>> U = 1 X** 2 + Y
>>> V = 1 + X Y**2
>>> from matplotlib.cbook import get_sample_data
>>> img = np.load(get_sample_data('axes_grid/bivariate_normal.npy'))
>>> import matplotlib.pyplot as plt
>>> fig = plt.figure()
>>> fig2 = plt.figure(figsize=plt.figaspect(2.0))
>>> fig.add_axes()
>>> ax1 = fig.add_subplot(221) #row-col-num
>>> ax3 = fig.add_subplot(212)
>>> fig3, axes = plt.subplots(nrows=2,ncols=2)
>>> fig4, axes2 = plt.subplots(ncols=3)
>>> plt.savefig('foo.png') #Save figures
>>> plt.savefig('foo.png', transparent=True) #Save transparent figures
>>> plt.show()
>>> fig, ax = plt.subplots()
>>> lines = ax.plot(x,y) #Draw points with lines or markers connecting them
>>> ax.scatter(x,y) #Draw unconnected points, scaled or colored
>>> axes[0,0].bar([1,2,3],[3,4,5]) #Plot vertical rectangles (constant width)
>>> axes[1,0].barh([0.5,1,2.5],[0,1,2]) #Plot horiontal rectangles (constant height)
>>> axes[1,1].axhline(0.45) #Draw a horizontal line across axes
>>> axes[0,1].axvline(0.65) #Draw a vertical line across axes
>>> ax.fill(x,y,color='blue') #Draw filled polygons
>>> ax.fill_between(x,y,color='yellow') #Fill between y values and 0
>>> fig, ax = plt.subplots()
>>> im = ax.imshow(img, #Colormapped or RGB arrays
cmap= 'gist_earth',
interpolation= 'nearest',
vmin=-2,
vmax=2)
>>> axes2[0].pcolor(data2) #Pseudocolor plot of 2D array
>>> axes2[0].pcolormesh(data) #Pseudocolor plot of 2D array
>>> CS = plt.contour(Y,X,U) #Plot contours
>>> axes2[2].contourf(data1) #Plot filled contours
>>> axes2[2]= ax.clabel(CS) #Label a contour plot
>>> axes[0,1].arrow(0,0,0.5,0.5) #Add an arrow to the axes
>>> axes[1,1].quiver(y,z) #Plot a 2D field of arrows
>>> axes[0,1].streamplot(X,Y,U,V) #Plot a 2D field of arrows
>>> ax1.hist(y) #Plot a histogram
>>> ax3.boxplot(y) #Make a box and whisker plot
>>> ax3.violinplot(z) #Make a violin plot
y-axis
x-axis
The basic steps to creating plots with matplotlib are:
1 Prepare Data
2 Create Plot
3 Plot
4 Customized Plot
5 Save Plot
6 Show Plot
>>> import matplotlib.pyplot as plt
>>> x = [1,2,3,4] #Step 1
>>> y = [10,20,25,30]
>>> fig = plt.figure() #Step 2
>>> ax = fig.add_subplot(111) #Step 3
>>> ax.plot(x, y, color= 'lightblue', linewidth=3) #Step 3, 4
>>> ax.scatter([2,4,6],
[5,15,25],
color= 'darkgreen',
marker= '^' )
>>> ax.set_xlim(1, 6.5)
>>> plt.savefig('foo.png' ) #Step 5
>>> plt.show() #Step 6
>>> plt.cla() #Clear an axis
>>> plt.clf(). #Clear the entire figure
>>> plt.close(). #Close a window
>>> plt.plot(x, x, x, x**2, x, x** 3)
>>> ax.plot(x, y, alpha = 0.4)
>>> ax.plot(x, y, c= 'k')
>>> fig.colorbar(im, orientation= 'horizontal')
>>> im = ax.imshow(img,
cmap= 'seismic' )
>>> fig, ax = plt.subplots()
>>> ax.scatter(x,y,marker= ".")
>>> ax.plot(x,y,marker= "o")
>>> plt.plot(x,y,linewidth=4.0)
>>> plt.plot(x,y,ls= 'solid')
>>> plt.plot(x,y,ls= '--')
>>> plt.plot(x,y,'--' ,x**2,y**2,'-.' )
>>> plt.setp(lines,color= 'r',linewidth=4.0)
>>> ax.text(1,
-2.1,
'Example Graph',
style= 'italic' )
>>> ax.annotate("Sine",
xy=(8, 0),
xycoords= 'data',
xytext=(10.5, 0),
textcoords= 'data',
arrowprops=dict(arrowstyle= "->",
connectionstyle="arc3"),)
>>> plt.title(r '$sigma_i=15$', fontsize=20)
Limits & Autoscaling
>>> ax.margins(x=0.0,y=0.1) #Add padding to a plot
>>> ax.axis('equal') #Set the aspect ratio of the plot to 1
>>> ax.set(xlim=[0,10.5],ylim=[-1.5,1.5]) #Set limits for x-and y-axis
>>> ax.set_xlim(0,10.5) #Set limits for x-axis
Legends
>>> ax.set(title= 'An Example Axes', #Set a title and x-and y-axis labels
ylabel= 'Y-Axis',
xlabel= 'X-Axis')
>>> ax.legend(loc= 'best') #No overlapping plot elements
Ticks
>>> ax.xaxis.set(ticks=range(1,5), #Manually set x-ticks
ticklabels=[3,100, 12,"foo" ])
>>> ax.tick_params(axis= 'y', #Make y-ticks longer and go in and out
direction= 'inout',
length=10)
Subplot Spacing
>>> fig3.subplots_adjust(wspace=0.5, #Adjust the spacing between subplots
hspace=0.3,
left=0.125,
right=0.9,
top=0.9,
bottom=0.1)
>>> fig.tight_layout() #Fit subplot(s) in to the figure area
Axis Spines
>>> ax1.spines[ 'top'].set_visible(False) #Make the top axis line for a plot invisible
>>> ax1.spines['bottom' ].set_position(( 'outward',10)) #Move the bottom axis line outward
Have this Cheat Sheet at your fingertips
Original article source at https://www.datacamp.com
#matplotlib #cheatsheet #python
1621594876
Despite the Covid-19 threat to the world and economy of every country, Online Grocery Market has recorded a 3X increase since 2019 till now.
“About 1-4th online shoppers are already shopping groceries on the internet in developed countries and 55% are willing to in near future. – Nielson study”
The new store these days are digital stores, Web stores, and Mobile applications where 70% of the customers reach and buy every day.
Take your store where the customers are to generate more revenue by developing e-commerce grocery store/application and Supermarket online store and mobile application.
Online grocery shopping sales in the United States from 2018 to 2023(in billion U.S. dollars)
“As per Statista, The U.S. online grocery market was estimated to generate sales worth about 28.68 billion U.S. dollars in 2019, with sales forecast to reach 59.5 billion U.S. dollars by 2023.”
Online store and mobile applications are helping small grocery business owners reach 70% more customers and generate unbelievable but real 48% more revenue other than the existing one. Check out a few of the businesses listed below:
Want to start an online grocery store? – Here’s what you should know
If you dream of owning your own online store regardless are you setting up a small business for the first time or you’ve been in the game a long time, this guide will help you learn how to start an online store.
Online selling, better known as e-commerce, has truly hit its pace. Fortunately, getting started is easier than you might think provided you have basic information about the business (which we will cover here) and you have a team of ecommerce website store solution experts to get the things implemented.
Accenture estimates, by the end of 2020, the ecommerce industry will get 13.5% of the revenue share. What does it mean for online store owners? It means that out of every 7 dollars spent on retail consumption: eCommerce will get about 1 dollar.
This article was originally published - How to start an online grocery store?
#start an online grocery store, #steps to opening a successful online business #steps to open online store #create your own grocery store #ecommerce store development
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A handy cheat sheet for interactive plotting and statistical charts with Bokeh.
Bokeh distinguishes itself from other Python visualization libraries such as Matplotlib or Seaborn in the fact that it is an interactive visualization library that is ideal for anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.
Bokeh is also known for enabling high-performance visual presentation of large data sets in modern web browsers.
For data scientists, Bokeh is the ideal tool to build statistical charts quickly and easily; But there are also other advantages, such as the various output options and the fact that you can embed your visualizations in applications. And let's not forget that the wide variety of visualization customization options makes this Python library an indispensable tool for your data science toolbox.
Now, DataCamp has created a Bokeh cheat sheet for those who have already taken the course and that still want a handy one-page reference or for those who need an extra push to get started.
In short, you'll see that this cheat sheet not only presents you with the five steps that you can go through to make beautiful plots but will also introduce you to the basics of statistical charts.
In no time, this Bokeh cheat sheet will make you familiar with how you can prepare your data, create a new plot, add renderers for your data with custom visualizations, output your plot and save or show it. And the creation of basic statistical charts will hold no secrets for you any longer.
Boost your Python data visualizations now with the help of Bokeh! :)
The Python interactive visualization library Bokeh enables high-performance visual presentation of large datasets in modern web browsers.
Bokeh's mid-level general-purpose bokeh. plotting interface is centered around two main components: data and glyphs.
The basic steps to creating plots with the bokeh. plotting interface are:
>>> from bokeh.plotting import figure
>>> from bokeh.io import output_file, show
>>> x = [1, 2, 3, 4, 5] #Step 1
>>> y = [6, 7, 2, 4, 5]
>>> p = figure(title="simple line example", #Step 2
x_axis_label='x',
y_axis_label='y')
>>> p.line(x, y, legend="Temp.", line_width=2) #Step 3
>>> output_file("lines.html") #Step 4
>>> show(p) #Step 5
Under the hood, your data is converted to Column Data Sources. You can also do this manually:
>>> import numpy as np
>>> import pandas as pd
>>> df = pd.OataFrame(np.array([[33.9,4,65, 'US'], [32.4, 4, 66, 'Asia'], [21.4, 4, 109, 'Europe']]),
columns= ['mpg', 'cyl', 'hp', 'origin'],
index=['Toyota', 'Fiat', 'Volvo'])
>>> from bokeh.models import ColumnOataSource
>>> cds_df = ColumnOataSource(df)
>>> from bokeh.plotting import figure
>>>p1= figure(plot_width=300, tools='pan,box_zoom')
>>> p2 = figure(plot_width=300, plot_height=300,
x_range=(0, 8), y_range=(0, 8))
>>> p3 = figure()
Scatter Markers
>>> p1.circle(np.array([1,2,3]), np.array([3,2,1]), fill_color='white')
>>> p2.square(np.array([1.5,3.5,5.5]), [1,4,3],
color='blue', size=1)
Line Glyphs
>>> pl.line([1,2,3,4], [3,4,5,6], line_width=2)
>>> p2.multi_line(pd.DataFrame([[1,2,3],[5,6,7]]),
pd.DataFrame([[3,4,5],[3,2,1]]),
color="blue")
Selection and Non-Selection Glyphs
>>> p = figure(tools='box_select')
>>> p. circle ('mpg', 'cyl', source=cds_df,
selection_color='red',
nonselection_alpha=0.1)
Hover Glyphs
>>> from bokeh.models import HoverTool
>>>hover= HoverTool(tooltips=None, mode='vline')
>>> p3.add_tools(hover)
Color Mapping
>>> from bokeh.models import CategoricalColorMapper
>>> color_mapper = CategoricalColorMapper(
factors= ['US', 'Asia', 'Europe'],
palette= ['blue', 'red', 'green'])
>>> p3. circle ('mpg', 'cyl', source=cds_df,
color=dict(field='origin',
transform=color_mapper), legend='Origin')
>>> from bokeh.io import output_notebook, show
>>> output_notebook()
Standalone HTML
>>> from bokeh.embed import file_html
>>> from bokeh.resources import CON
>>> html = file_html(p, CON, "my_plot")
>>> from bokeh.io import output_file, show
>>> output_file('my_bar_chart.html', mode='cdn')
Components
>>> from bokeh.embed import components
>>> script, div= components(p)
>>> from bokeh.io import export_png
>>> export_png(p, filename="plot.png")
>>> from bokeh.io import export_svgs
>>> p. output_backend = "svg"
>>> export_svgs(p,filename="plot.svg")
Inside Plot Area
>>> p.legend.location = 'bottom left'
Outside Plot Area
>>> from bokeh.models import Legend
>>> r1 = p2.asterisk(np.array([1,2,3]), np.array([3,2,1])
>>> r2 = p2.line([1,2,3,4], [3,4,5,6])
>>> legend = Legend(items=[("One" ,[p1, r1]),("Two",[r2])], location=(0, -30))
>>> p.add_layout(legend, 'right')
>>> p.legend. border_line_color = "navy"
>>> p.legend.background_fill_color = "white"
>>> p.legend.orientation = "horizontal"
>>> p.legend.orientation = "vertical"
Rows
>>> from bokeh.layouts import row
>>>layout= row(p1,p2,p3)
Columns
>>> from bokeh.layouts import columns
>>>layout= column(p1,p2,p3)
Nesting Rows & Columns
>>>layout= row(column(p1,p2), p3)
>>> from bokeh.layouts import gridplot
>>> rowl = [p1,p2]
>>> row2 = [p3]
>>> layout = gridplot([[p1, p2],[p3]])
>>> from bokeh.models.widgets import Panel, Tabs
>>> tab1 = Panel(child=p1, title="tab1")
>>> tab2 = Panel(child=p2, title="tab2")
>>> layout = Tabs(tabs=[tab1, tab2])
Linked Axes
Linked Axes
>>> p2.x_range = p1.x_range
>>> p2.y_range = p1.y_range
Linked Brushing
>>> p4 = figure(plot_width = 100, tools='box_select,lasso_select')
>>> p4.circle('mpg', 'cyl' , source=cds_df)
>>> p5 = figure(plot_width = 200, tools='box_select,lasso_select')
>>> p5.circle('mpg', 'hp', source=cds df)
>>>layout= row(p4,p5)
>>> show(p1)
>>> show(layout)
>>> save(p1)
Have this Cheat Sheet at your fingertips
Original article source at https://www.datacamp.com
#python #datavisualization #bokeh #cheatsheet
1596018410
AWS Training and Certification causes you assemble and approve your cloud abilities so you can get increasingly out of the cloud.
Regardless of whether you are simply beginning, expanding on existing IT aptitudes, or honing your cloud information, AWS Certification online course can assist you with being progressively viable and accomplish more in the cloud.
With regards to sharpening your aptitudes and comprehension Microsoft Azure, the Microsoft Azure Certification course online is really justified, despite all the trouble. Undertakings over the globe are reclassifying the manner in which they work with versatile and secure cloud-empowered venture applications.The confirmation is intended for the Microsoft heap of items.
There is an expansive scope of points to browse in framework and engineer aptitudes. To turn into a MSCA, you need to pass two assessments and exhibit your abilities as a cloud overseer and your pathway to turning into a cloud planner.
Benefits of AWS are:
Easy way to enter in AWS community: The AWS is So famous as easy way to enter in AWS community. AWS community share an Amazon certifies logo and digital badge with the expertise.
Become God of Cloud: The AWS is So famous as become god of cloud. AWS is a secure Cloud Computing platform to individuals, companies and government.
Expanding professional network: The AWS is So famous as expanding professional networks. It helps for developing professional networks in the community.
Microsoft Azure is the cloud based platform that provides services in domains like networking, database and developer tools that help to scale the business. Azure is offers a wide range of functionalities as analytics, storage, mobile and web applications.
Benefits of Azure are:
Largest IaaS Cloud provider: Azure is the largest and secured IaaS cloud service provider with a vast Microsoft product. Azure is supports Linux based operating systems.
Simple and easy learning tool: Microsoft Azure learning is simple and easy learning tool. It is a simple and easy tool that creates and develop cloud based local applications easily.
Using of Virtual machines: Microsoft Azure helps to learn different types of virtual machines. These are used for management, configuration and monitoring.
#aws online course #aws online training #aws certification online #azure certification online #azure online training #azure online course