Castore  DeRose

Castore DeRose

1651651248

Research Cryptocurrency Before Investing in 5 Basic Steps

As you must already know, Bitcoin became the first ever cryptocurrency when it was released in 2009 by Satoshi Nakamoto. Given that the maximum possible number of bitcoins generated is 21 million.

The persona Satoshi Nakamoto was involved in the early days of bitcoin, working on the first version of the software in 2009. Communication to and from Nakamoto was conducted electronically, and the lack of personal and background details meant that it was impossible to find out the actual identity behind the name.

Nakamoto’s involvement with bitcoin ended in 2010. The last correspondence anyone had with Nakamoto was in an email to another bitcoin developer saying that they had “moved on to other things.” The inability to put a face to the name has led to significant speculation as to Nakamoto’s identity, especially as cryptocurrencies increased in number, popularity, and notoriety.

However, with only one coin available, you couldn’t trade it with any other cryptocurrency.

It wasn’t until a few years later when more and more cryptocurrencies were created that people started trading them. The idea is really simple. You trade one cryptocurrency for another, with the hope that the coin you buy increases in value.

You’ve finally decided to start your cryptocurrency trading career, and you’re already thinking about how you’re going to spend your millions. There’s no doubt that cryptocurrency is an exciting market for investors, but unfortunately, success doesn’t happen as easy as that.

Many investors like to trade cryptocurrency because it’s an extremely volatile asset. If you can time the market right, trading crypto can give you much higher returns than traditional investments.

In all seriousness, cryptocurrency trading can be risky business. Yes, it’s true — some people have made lots of money. However, some people have lost lots of money too.

For those of you who are interested in learning about cryptocurrency trading, I’m here to help you get started. This beginners guide is going to show you everything you need to know.

You can begin inspecting a cryptocurrency as soon as you hear about it, before you begin any serious research:

  • How did you hear about it, and what did you hear about it?
  • Did you hear about it from a reliable and trusted source?
  • Did you hear about the project that the currency enables?
  • Or, did you hear about how much money it's going to make investors?

In this article, I will provide you with a step-by-step guide to teach you how to do your own research and find crypto gems. For this, you do not need any special skills and knowledge. All you need are patience and some determination.

So, let’s go!

1. Do Your Own Research

  • Don’t invest blindly in someone calls
  • Be informed about projects details
  • Do you understand the project? and can you explain it?
  • Can it build value over time?

2. EMOTION

  • Don’t fall in love with invested projects
  • Avoid FOMO, GREED and, FEAR
  • Use market’s emotion to maximize profits
  • Stick to a plan — means your buying and selling price should be fixed
  • Anticipate high’s, don't chase high

3. Evaluating the top criteria of cryptocurrencies

3.1. Vision: 

What is the objective? what they are solving? and what scale?

  • Type of crypto — infrastructure/ platform
  • What is the pain that this solves?
  • What is the scale of pain?
  • How unique is the solution?
  • Can this have a first-mover advantage?

3.2. Team

Get more details on cypherhunter and visit team members LinkedIn

  • Is there a superstar CEO, Exec, dev, advisor?
  • Superstar = Guru in company’s niche
  • Is guru well connected?
  • Enough developers for vision?
  • Size of team & department coverage

3.3. Technology: 

(Mainly important, fundamentals)

  • What does the tech achieve? speed/ power/ ease
  • What is unique about the tech?
  • What effect does it have over existing tech?
  • Does the team have experience/ skills to achieve that tech?
  • Is there an MVP (minimum viable products)/ GitHub & Test Results?

3.4. Roadmap

  • Is there a roadmap on the whitepaper/ website?
  • How regular are updates/items?
  • How significant are the updates?
  • Are they likely to release regular value?
  • Min. 1 updates per quarter- start with listing

For example: Roadmap for Geek.gl

3.5. Token Metrics:

  • Is cryptocurrency undervalued?
  • Market cap analysis- much cheaper than competition
  • ICOs & existing cryptocurrencies
  • Coin supply vs potential demand

3.6. Token Reward:

  • Enable Holding /Support during dips
  • Masternode / stake rewards
  • Does number of tokens =>power/influence
  • Can you earn rewards for actions??

3.7. Community (support):

  • Size of social media — TG, FB, YT, Reddit, Twitter
  • High team interaction (telegram, slack, discord)
  • Quality
  • Forums: Reddit/ bitcoin talk
  • Hype level: YT, FB, Articles

This is all of it to perform basic fundamentals research on cryptocurrency

4. Things to Look for When Researching a Cryptocurrency

Assuming that you heard about the cryptocurrency from a trusted source and it sounds solid, there are still some litmus-paper boxes that you can check before thinking about getting involved with a project.

4.1. Find the Purpose

Most cryptocurrencies are minted as a reward for verifying blocks of data that serve some function other than supporting the currency itself. If you're a Bitcoin tribalist, you may realize that Bitcoin fails this test.

That doesn't mean that Bitcoin is a scam. Bitcoin has been around long enough and has enough of a demand that supporting itself is enough. That's not likely to be true of any other coin playing this game. In other words, Bitcoin is not a scam but any coin promising to be the next bitcoin is probably a scam.

The downside of this is that it does mean that you might miss out on an opportunity to get into a project as one of the project's very first investors because you sat around waiting for a coin to prove itself. It's true. You could miss out on an opportunity to "get in on the ground floor." The good news is that you'll pass up a lot more opportunities to "get scammed."

If you really, really, really don't want to pass up what sounds like an amazing opportunity to buy up a brand new coin, get familiar with another crypto investment mantra: don't invest more than you can afford to lose.

4.2. Find the Whitepaper

The crypto shouldn't only promise to solve some a problem. It should promise to solve that problem in a way that makes sense.

Blockchain projects are typically laid out in a whitepaper—a publicly available document detailing the blockchain's mission and how it works. Even Bitcoin, which was published anonymously, has a publicly available whitepaper that is still widely read and circulated.

Having a whitepaper isn't enough. The whitepaper has to be good. For example, the Squid Game cryptocurrency that famously fleeced investors had a whitepaper, but it was poorly written and edited.

4.3. Find Out Where You Buy and Use the Cryptocurrency

Unless you're a miner (or an investor with serious acumen), you probably shouldn't buy cryptocurrency outside of a proper cryptocurrency exchange. Exchanges allow you to buy and sell cryptocurrencies, and while different exchanges require coins to jump through different hoops to get listed, you'll be safer sticking to these exchanges.

This approach has the same pitfalls as the first tip: it will take time for a new cryptocurrency to be listed on a legitimate exchange. However, we are talking about exchanges that let you buy coins, not apps that let you buy "interest" in a coin, as PayPal does. These platforms are even more cautious than exchanges, and you can miss out on a good thing waiting that long.

In some cases, the blockchain itself will make a scam coin difficult to circulate in legitimate ways because wide circulation in legitimate circles could expose the coin more quickly. 

4.4. Find Out Who Makes the Coin

Right now, decentralization is the name of the game. However, most legitimate cryptocurrency projects will have a publicly listed board of directors or even partner organizations supporting and developing the currency.

You don't have to know the names of all of the board members, but you should at least recognize the names of the companies enabling or using the blockchain. Even if you don't, you should be able to research those individuals and organizations to find out whether they are real and really involved.

Depending on how rigorous you are, you may or may not think that Bitcoin fits this list. We don't know who started the ball rolling after all. However, a lot of the people who are currently pushing that ball are less than anonymous and Bitcoin.org does have ways for you to learn more about the community of developers keeping Bitcoin alive.

4.5. Find Out if the Coin Seems Sustainable

This is a combination and reconsideration of some of the red flags covered in the introductory paragraphs. A coin worth investing in should solve a problem and solving that problem should be the goal of the coin's creators, not making money.

For example, GEEK is one of the most technologically ambitious coins out there. Why? In part because GEEK is built for long-term scale rather than as a get-rich-quick scheme or even as a conventional store of value. It's meant to do a job, and the financial rewards come second.

5. Let’s start with Basic Crypto Research

  1. You can get the majority of information on coins at coinmarketcap.com, coingecko.com, cypherhunter.com…
  2. Visit coinmarketcap.com and search for the coin you want to invest in. now see if the trade volume exceeds the market cap or not? If YES then it is a good sign you are good to go ahead. (market cap = trading volume*current price)
  3. Now check the price graph, historical data, and past trading volume. If all of these are consistent then it is a go-ahead signal.
  4. Now it's time to visit the project website (you can find a link on coinmarketcap.com)
  5. Check what is the narratives of the project? whether it is DeFi, NFT, Smart Trading, etc. see what kind of problem they are solving?
  6. Now go to cypherhunter.com and search the project. you can find Venture capitalists details here. Check if the project is backed by VCs or not? and if it is then check are the VCs are good enough to move the project ahead? (you will get top tier, mid-tier, low tier VCs list ahead)
  7. Now you should visit the project’s social media handles such as Reddit, Telegram, medium, etc., and see if they have an active community or not? are users getting replies from the project’s members. Read their blogs on their website or medium.
  8. Read various articles about projects on google.
  9. See if they have provided a road map on their website. (some projects share and some don’t)

Before jumping on the List of VCs let’s understand what is good VC?

  1. Confidence — are the investor confident about projects?
  2. Whale Investor Network — are the investor whale investor who invest in large sums?
  3. Connectivity — are they well connected to top exchanges? top people in the crypto market? are they connected to top crypto influencers?
  4. Expertise/ marketing — are they able to create hype about a project? are they good at marketing?

Bear in mind that this kind of research can take a long time to complete. While in some cases it might not be necessary or possible to cover all of the points, I listed up in this guide about how to research cryptocurrencies and projects, your aim should be to cover as many of them as possible.

Because in the end, this is all about protecting your investment and avoiding mistakes I made a few years back. I lost a lot of money because I thought it was not worth spending some time to make sure a project was legit.

Read more: What You Should Know Before Investing in Cryptocurrency - For Beginner

I hope that you find this guide useful. Don't forget to leave a like, comment and sharing it with others. Thank you!

#cryptocurrency #bitcoin #blockchain 

What is GEEK

Buddha Community

Research Cryptocurrency Before Investing in 5 Basic Steps

Austin Gerald

1655820561

As all businessmen have said that you need money to work for you. I was actively looking on the Internet for ways to invest my money and found out how does limit order work that I had never heard of before. It seemed new to me and I want to invest my money in it. Do you think this is going to make me money?

Castore DeRose

1655859725

of course you

John  Smith

John Smith

1657107416

Find the Best Restaurant Mobile App Development Company in Abu Dhbai

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. 

Step-by-Step Process to Find the Best Restaurant App Development Company

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 – 

  • Social media posts 
  • App development process
  • About us Page
  • Client testimonials

#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. 

Dylan  Iqbal

Dylan Iqbal

1561523460

Matplotlib Cheat Sheet: Plotting in Python

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:

Python Matplotlib cheat sheet

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.

Prepare the Data 

1D Data 

>>> import numpy as np
>>> x = np.linspace(0, 10, 100)
>>> y = np.cos(x)
>>> z = np.sin(x)

2D Data or Images 

>>> 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'))

Create Plot

>>> import matplotlib.pyplot as plt

Figure 

>>> fig = plt.figure()
>>> fig2 = plt.figure(figsize=plt.figaspect(2.0))

Axes 

>>> 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)

Save Plot 

>>> plt.savefig('foo.png') #Save figures
>>> plt.savefig('foo.png',  transparent=True) #Save transparent figures

Show Plot

>>> plt.show()

Plotting Routines 

1D Data 

>>> 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

2D Data 

>>> 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

Vector Fields 

>>> 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

Data Distributions 

>>> ax1.hist(y) #Plot a histogram
>>> ax3.boxplot(y) #Make a box and whisker plot
>>> ax3.violinplot(z)  #Make a violin plot

Plot Anatomy & Workflow 

Plot Anatomy 

 y-axis      

                           x-axis 

Workflow 

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

Close and Clear 

>>> plt.cla()  #Clear an axis
>>> plt.clf(). #Clear the entire figure
>>> plt.close(). #Close a window

Plotting Customize Plot 

Colors, Color Bars & Color Maps 

>>> 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' )

Markers 

>>> fig, ax = plt.subplots()
>>> ax.scatter(x,y,marker= ".")
>>> ax.plot(x,y,marker= "o")

Linestyles 

>>> 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)

Text & Annotations 

>>> 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"),)

Mathtext 

>>> plt.title(r '$sigma_i=15$', fontsize=20)

Limits, Legends and Layouts 

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

steve joseph

steve joseph

1654674298

Top new cryptocurrencies to invest in June – 2022

June – is the month of new beginnings, and what better way to start off fresh than by investing in one (or more) of the many new cryptocurrencies that have recently hit the market? In this article, we’ll give you our top picks for the best cryptocurrencies to invest in for June of 2022.

Solana:

  1. Solana is a new cryptocurrency that is quickly gaining popularity. It is based on the Ethereum blockchain and utilizes Proof of Stake (PoS) to validate transactions. This makes it more energy-efficient than other PoW-based currencies.
  2. Solana has a very fast transaction speed. It can handle up to 65,000 transactions per second. This is much faster than Ethereum, which can only handle around 15 transactions per second.
  3. Solana has a strong team of developers behind it. The team includes former employees of Google, Facebook, and PayPal.
  4. Solana is already being used by some major companies, such as Coinbase and Binance.

Overall, Solana is a very promising new cryptocurrency. Its fast transaction speed, strong team of developers, and major company partnerships make it a good choice for investors looking for a new currency to invest in.

Hashpe:

Hashpe is a new cryptocurrency that was created in June of this year. It is based on the Bitcoin protocol, but it has some unique features that make it different from Bitcoin.

For one, Hashpe uses a different mining algorithm than Bitcoin. This means that it is more resistant to ASIC miners, which are specialized hardware that is designed for mining Bitcoin. This makes Hashpe more accessible to regular people who want to mine cryptocurrency.

Hashpe also has a built-in privacy feature called “zk-SNARKs.” This allows transactions on the Hashpe network to be private and secure.

Overall, Hashpe is a promising new cryptocurrency with some unique features that make it worth investing in.

Shiba Inu:

Shiba Inu is a new cryptocurrency that was created in August 2020. It is an Ethereum token that was created as a parody of the popular Dogecoin. However, Shiba Inu has quickly gained popularity in its own right and is now one of the top 10 cryptocurrencies by market capitalization.

Investors are attracted to Shiba Inu because it has a very low supply of only 21 billion tokens. This compares to other popular cryptocurrencies like Bitcoin, which has a supply of 21 million. This limited supply means that Shiba Inu could potentially increase in value over time as demand increases.

Shiba Inu also has a very active community on social media. The coin has its own Twitter account with over 400,000 followers and an active Telegram group with over 8,000 members. This community helps to generate interest and awareness of the coin, which could lead to more people buying it.

Overall, Shiba Inu is a promising new cryptocurrency with a lot of potentials. Its low supply and active community could help it to increase in value over time.

Saitama Inu:

Saitama Inu is a new cryptocurrency that was created in June of 2020. The team behind Saitama Inu is anonymous, but they are based in Japan. The currency is named after the Japanese anime character Saitama, who is known for his strength and power.

Saitama Inu has a total supply of 10,000,000,000 tokens and a circulating supply of 1,000,000,000 tokens. The currency is currently trading at $0.000016 USD.

The Saitama Inu team has plans to use the currency to build a decentralized social media platform. The platform will be called Soar and it will allow users to earn rewards for creating and sharing content.

So far, the team behind Saitama Inu has been very active on social media and they seem to be very committed to their project. The currency has a lot of potentials and it will be interesting to see how it develops over time.

Tezos:

Tezos is a new cryptocurrency that offers several unique features that make it an attractive investment. For one, Tezos uses a proof-of-stake algorithm instead of proof-of-work. This means that Tezos is more energy-efficient than other cryptocurrencies.

Another key feature of Tezos is its on-chain governance system. This system allows holders of Tezos tokens to vote on changes to the protocol. This helps to keep the Tezos network decentralized and responsive to the needs of its users.

Finally, Tezos has a strong development team behind it. The team is led by Arthur Breitman, who has a background in mathematics and computer science. This gives Tezos a solid foundation on which to build and grow.

Overall, Tezos is a promising new cryptocurrency with several unique features that make it worth investing in.

Cronos:

Cronos is a new cryptocurrency that was launched in June of 2018. Cronos is designed to be a more stable and secure form of currency than Bitcoin. It uses a Proof-of-Stake system, which means that users earn rewards for holding Cronos coins in their wallets. This helps to keep the currency more stable than other cryptocurrencies that use a Proof-of-Work system.

Cronos is also a very fast cryptocurrency. Transactions take only seconds to confirm. This makes it ideal for people who want to use cryptocurrency for everyday purchases.

Investors are bullish on Cronos, and the currency has already seen significant growth since its launch. If you’re looking for a new cryptocurrency to invest in, Cronos is a good option.

Conclusion:

If you’re ready to invest in cryptocurrency, exchanges are the most secure and user-friendly way to purchase, sell, and trade digital assets.

Koinbazar is the best leading cryptocurrency exchange in the world because it offers a number of unique features compared to other exchanges.

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#crypto #cryptos #cryptocurrency #invest #investments #investment #investing #cryptotrading 

Garry Taylor

Garry Taylor

1653464648

Python Data Visualization: Bokeh Cheat Sheet

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. 

Python Bokeh Cheat Sheet

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! :)


Plotting With 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:

  1. Prepare some data (Python lists, NumPy arrays, Pandas DataFrames and other sequences of values)
  2. Create a new plot
  3. Add renderers for your data, with visual customizations
  4. Specify where to generate the output
  5. Show or save the results
>>> 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

1. Data 

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)

2. Plotting 

>>> 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()

3. Renderers & Visual Customizations 

Glyphs 

Scatter Markers 
Bokeh 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 

Bokeh 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")

Customized Glyphs

Selection and Non-Selection Glyphs 

Selection Glyphs

>>> p = figure(tools='box_select')
>>> p. circle ('mpg', 'cyl', source=cds_df,
selection_color='red',
nonselection_alpha=0.1)

Hover Glyphs

Hover Glyphs

>>> from bokeh.models import HoverTool
>>>hover= HoverTool(tooltips=None, mode='vline')
>>> p3.add_tools(hover)

Color Mapping 

Bokeh Colormapping Glyphs

>>> 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')

4. Output & Export 

Notebook

>>> from bokeh.io import output_notebook, show
>>> output_notebook()

HTML 

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)

PNG

>>> from bokeh.io import export_png
>>> export_png(p, filename="plot.png")

SVG 

>>> from bokeh.io import export_svgs
>>> p. output_backend = "svg"
>>> export_svgs(p,filename="plot.svg")

Legend Location 

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')

Legend Background & Border 

>>> p.legend. border_line_color = "navy"
>>> p.legend.background_fill_color = "white"

Legend Orientation 

>>> p.legend.orientation = "horizontal"
>>> p.legend.orientation = "vertical"

Rows & Columns Layout

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)

Grid Layout 

>>> from bokeh.layouts import gridplot
>>> rowl = [p1,p2]
>>> row2 = [p3]
>>> layout = gridplot([[p1, p2],[p3]])

Tabbed Layout 

>>> 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 Plots

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)

5. Show or Save Your Plots  

>>> 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

Angelina roda

Angelina roda

1624233600

The BEST 5 Cryptocurrency Tips for Beginners (2021). DO NOT MISS!!!

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