Papaya

papaya

Top 12+ React Boilerplates and Starter Kits for 2024

Part forty one is here!!! Your code smells because there are likely many instances where it could be edited or improved. Most of these smells are just hints of something that might be wrong. Therefore, they are not required to be fixed per se… (You should look into it, though.) Previous Code Smells You can find all the previous code smells (Part i - ) . XL here Let's continue... Code Smell 201 - Nested Ternaries Arrow Code, Nested Conditions, switches, else, and many more TL;DR: Don't use nested IFs or nested ternaries Problems Readability Default Case Solutions Rewrite the code as an IF condition with an early return Context Nesting is always a problem with complexity. We can fix it with polymorphism or early returns Sample Code Wrong const getUnits = secs => (
 secs <= 60       ? 'seconds' :
 secs <= 3600     ? 'minutes' :
 secs <= 86400    ? 'hours'   :
 secs <= 2592000  ? 'days'    :
 secs <= 31536000 ? 'months'  :
                    'years' 
) Right const getUnits = secs => {
 if (secs <= 60) return 'seconds'; 
 if (secs <= 3_600) return 'minutes'; 
 if (secs <= 86_400) return 'hours';   
 if (secs <= 2_592_000) return 'days';    
 if (secs <= 31_536_000) return 'months';  
 return 'years' 
}

// More declarative

const getUnits = secs => {
 if (secs <= 60) return 'seconds'; 
 if (secs <= 60 * 60) return 'minutes'; 
 if (secs <= 24 * 60 * 60) return 'hours';   
 if (secs <= 30 * 24 * 60 * 60) return 'days';    
 if (secs <= 12 * 30 * 24 * 60 * 60) return 'months';  
 return 'years' 
} Detection Automatic [x] Linters can detect this complexity using parsing trees. Tags IFs Conclusion We must deal with to improve code readability. accidental complexity Relations Code Smell 133 - Hardcoded IF Conditions Code Smell 78 - Callback Hell Code Smell 102 - Arrow Code Disclaimer Code Smells are my . opinion Credits Photo by on NIKHIL Unsplash One of the best things to come out of the home computer revolution could be the general and widespread understanding of how severely limited logic really is. Frank Herbert Software Engineering Great Quotes https://hackernoon.com/400-thought-provoking-software-engineering-quotes?embedable=true Code Smell 202 - God Constant Class Constants should be together to find them easily TL;DR: Don't define too many unrelated constants in the same class. Don't pile up the junk together. Problems Bad Cohesion High Coupling Magic Numbers Single Responsibility principle violation Solutions Break the contents following Real World responsibilities using the . MAPPER Context This is a special case of a God Object restricted only to constant definitions. The repository can be a class, file, or JSON. Sample Code Wrong public static class GlobalConstants
{
    public const int MaxPlayers = 10;
    public const string DefaultLanguage = "en-US";
    public const double Pi = 3.14159; 
} Right public static class MaxPlayersConstants
{
    public const int MaxPlayers = 10;    
}

public static class DefaultLanguageConstants
{
    public const string DefaultLanguage = "en-US";
}

public static class MathConstants
{
    public const double Pi = 3.14159;
} Detection Semi-Automatic [x] We can tell our linters to warn us of too many constants' definitions against a preset threshold. Tags Coupling Conclusion Finding correct responsibilities is one of our primary tasks when designing software. Relations Code Smell 14 - God Objects Code Smell 29 - Settings / Configs Code Smell 02 - Constants and Magic Numbers More Info Medium Credits Photo by on Aaron Burden Unsplash If someone says their code was broken for a couple of days while they are refactoring, you can be pretty sure they were not refactoring. Martin Fowler Code Smell 203 - Irrelevant Test Information Irrelevant data distract the reader's attention TL;DR: Don't add unnecessary information to your assertions Problems Readability Maintainability Solutions Remove irrelevant data Leave only the needed assertions Context Tests should be minimal and follow the SetUp/Exercise/Assert pattern Sample Code Wrong def test_formula_1_race():
    # Setup
    racers = [
        {"name": "Lewis Hamilton", "team": "Mercedes", "starting_position": 1, "car_color": "Silver", "car_model": "W12"},
        {"name": "Max Verstappen", "team": "Red Bull", "starting_position": 2, "car_color": "Red Bull", "car_model": "RB16B"},
        {"name": "Sergio Perez", "team": "Red Bull", "starting_position": 3, "car_color": "Red Bull", "car_model": "RB16B"},
        {"name": "Lando Norris", "team": "McLaren", "starting_position": 4, "car_color": "Papaya Orange", "car_model": "MCL35M"},
        {"name": "Valtteri Bottas", "team": "Mercedes", "starting_position": 5, "car_color": "Silver", "car_model": "W12"},
    ]

    # Exercise
    winner = simulate_formula_1_race(racers)

    # Test
    assert winner == "Lewis Hamilton"
    
    # This is all irrelevant to winner asserting
    assert racers[0]["car_color"] == "Silver"
    assert racers[1]["car_color"] == "Red Bull"
    assert racers[2]["car_color"] == "Red Bull"
    assert racers[3]["car_color"] == "Papaya Orange"
    assert racers[4]["car_color"] == "Silver"
    assert racers[0]["car_model"] == "W12"
    assert racers[1]["car_model"] == "RB16B"
    assert racers[2]["car_model"] == "RB16B"
    assert racers[3]["car_model"] == "MCL35M"
    assert racers[4]["car_model"] == "W12" Right def test_formula_1_race():
    # Setup
    racers = [
        {"name": "Lewis Hamilton", "starting_position": 1},
        {"name": "Max Verstappen", "starting_position": 2},
        {"name": "Sergio Perez", "starting_position": 3},
        {"name": "Lando Norris", "starting_position": 4},
        {"name": "Valtteri Bottas" "starting_position": 5},
    ]

    # Exercise
    winner = simulate_formula_1_race(racers)

    # Test
    assert winner == "Lewis Hamilton" Detection Semi-Automatic [x] We can find some patterns in not needed assertions. Tags Testing Conclusion Tests should be prose. Always focus on the reader. It might be you a couple of months from now. Relations Code Smell 76 - Generic Assertions More Info xUnit Test Patterns: Refactoring Test Code Credits Photo by on Evan Demicoli Unsplash Take reasonable steps to test, document, and otherwise draw attention to the assumptions made in every module and routine. Daniel Read Code Smell 204 - Tests Depending on Dates It is a good idea to assert something has happened in the future TL;DR: Tests must be in full control and you can't manage time. Problems Fragile Tests CI/CD Breaks Solutions Tests should be always in full environmental control. Create a time source Context I read a about adding a fixed date to check for the removal of a feature flag (which is another ).
The test will fail in an unpredictable way preventing releases and breaking CI/CD pipeline.
There are also other bad examples we will never reach some date, tests running at midnight, different timezones, etc. Tweet code smell Sample Code Wrong class DateTest {
    @Test
    void testNoFeatureFlagsAfterFixedDate() {
        LocalDate fixedDate = LocalDate.of(2023, 4, 4);
        LocalDate currentDate = LocalDate.now();        
        Assertions.assertTrue(currentDate.isBefore(fixedDate) || !featureFlag.isOn());
    }
} Right class DateTest {
    @Test
    void testNoFeatureFlags() {   
        Assertions.assertFalse(featureFlag.isOn());
    }
} Detection Semi-Automatic [x] We can check assertions based on time on our tests. Tags Testing Conclusion Proceed with caution with tests and dates. They are often a cause of mistakes. Relations Code Smell 52 - Fragile Tests More Info Twitter Each pattern describes a problem which occurs over and over again in our environment, and then describes the core of the solution to that problem, in such a way that you can use this solution a million times over, without ever doing it the same way twice. Christopher Alexander Code Smell 205 - Code in Destructors You deallocate things in your destructors TL;DR: Don't use destructors. And don't write functional code there. Problems Coupling Unexpected results Memory leaks Solutions Don't use destructors. Follow the Rule of Zero Let the Garbage Collector work for you Context A class destructor is a special method that is called when an object is destroyed or goes out of scope. In the past, we had no garbage collectors and destructors were responsible for cleaning up any resources that the object has acquired during its lifetime, such as closing open files or releasing memory allocated on the heap. Nowadays, object destruction is automatic in most modern programming languages. Sample Code Wrong class File {
public:
    File(const std::string& filename) {
        file_ = fopen(filename.c_str(), "r");
    }
    
    ~File() {
        if (file_) {
            fclose(file_);
        }
    }
    
private:
    FILE* file_;
}; Right class File {
public:
    File() : file_(nullptr) {}
    
    bool Open(const std::string& filename) {
        if (file_) {
            fclose(file_);
        }
        file_ = fopen(filename.c_str(), "r");
        return (file_ != nullptr);
    }
    
    bool IsOpen() const {
        return (file_ != nullptr);
    }
    
    void Close() {
        if (file_) {
            fclose(file_);
            file_ = nullptr;
        }
    }
    
    ~File() {
        // Instead of closing the file we throw an exception 
        // If it is open (which is an invalid scenario)
        if (file_) {
            throw std::logic_error("File is still open in destructor");
        }
    }
    
private:
    FILE* file_;
}; Detection Automatic [x] Linters can warn us when we write code in destructors Exceptions In very critical low-level code we cannot afford a garbage collector. Exceptions are very few. In other cases writing code in destructors is a symptom of premature optimization. Tags Premature Optimization Conclusion Writting code in destructors is a sign of sloppiness and laziness. We need to understand the life cycle of our objects and manage the events accurately. Relations Code Smell 142 - Queries in Constructors Credits Photo by on Crawford Jolly Unsplash The most likely way for the world to be destroyed, most experts agree, is by accident. That's where we come in; we're computer professionals. We cause accidents. Nathaniel S. Borenstein 5 more code smells are coming soon… My new book about clean code is available for pre-order. You will find several recipes like this one with a higher level of detail https://amzn.to/44s1XdO?embedable=true https://amzn.to/44s1XdO

How to Find the Stinky Parts of Your Code [Part XLI]

Sequences and Collections are an integral part of any programming language. Python particularly handles them uniformly, i.e. any type of sequence from Strings and XML elements to arrays, lists, and Tuples are handled in a uniform way. Understanding the variety of these sequences will spare us the reinvention of the wheel as the existing common sequence interface allows us to leverage and support any new sequence types. The built-in sequences and how to group them There are 2 types of sequences: The : these hold items of different types, including nested containers. Like . container sequences list, tuple, and double-ended queues The : these hold items of simple types. Like . flat sequences str and byte A , which may be of any type, while , not as distinct Python objects. container sequence holds references to the objects it contains a flat sequence stores the value of its contents in its own memory space Another way to group sequences is Mutability VS Immutability: : sequences that , for example, list, bytearray, array.array, and collections.deque. Mutable sequences can change their values : sequences that , for example, tuple, str, and bytes. Immutable sequences can not change their values Let’s see what we can learn about Sequences! ✌️ ListComps and GenExps List Comprehensions( ) and Generator expressions( ) are Python's solutions to in a readable and clear way. ListComps GenExps build sequences The deals mainly with , the with any . first Lists latter other type of sequences List Comprehensions very concise way to , sometimes by on the existing items, using a simpler cleaner more compact syntax, all of this without having to deal with ListComp is a create a list from an existing list operating Python lambda. fruits = ["apple", "banana", "cherry", "kiwi", "mango"]
newlistUsingForLoop = []
newlistUsingListComp = []

# using traditional for loop
for x in fruits:
  if "a" in x:
    newlistUsingForLoop.append(x)

print(newlistUsingForLoop) # ['apple', 'banana', 'mango']

# using ListComp
newlistUsingListComp = [x for x in fruits if "a" in x]

print(newlistUsingListComp) # ['apple', 'banana', 'mango']

# we can notice how easily readable the list comprehension version Generator Expressions A generator expression( ) is an expression that returns a , i.e. a function that contains a statement and returns a generator object. GenExps generator object yield use the same syntax as , but are enclosed in parentheses rather than brackets. GenExps ListComps # create the generator object
squares_generator = (i * i for i in range(5))

# iterate over the generator and print the values
for i in squares_generator:
    print(i)

# this will output the square of numbers from 0 to 4 

colors = ['black', 'white']
sizes = ['S', 'M', 'L']
for tshirt in (f'{c} {s}' for c in colors for s in sizes):
    print(tshirt)

# black S
# black M
# black L
# white S
# white M
# white L Tuples are Not Just Immutable Lists Python presents Tuples as Immutable Lists, only this does not do them justice as they can be used as and also as with no field names. immutable lists records Tuples as records Tuples can serve as temporary records with no field names, this can be done only if the is and the is respected as it is number of items fixed order of items important. coordinates = [(33.9425, -118.408056), (31.9425, -178.408056)]
for lat, _ in coordinates:
    print(f 'cordinate latitude: {lat}')

# this will print the latitude each time ignoring the longitude value There are two ways of creating tuples with named fields but in this instance, they will be regarded as data classes and it is not what we want to discuss here. Tuples as immutable lists Tuples are also highly used in Python standard library for their immutability which brings and to the code. clarity performance optimization a = (10, 'alpha', [1, 2])
b = (10, 'alpha', [1, 2])
print(a == b) 
# True
b[-1].append(99)
print(a == b) 
# False
print(b)
# (10, 'alpha', [1, 2, 99]) There is one caveat to mention, as portrayed above in the code example, only contained in the tuple are the references immutable, the objects held in the references can change their values. Changing the value of an item in a tuple can lead to as tuples are it is better to use a different data structure for your specific use case. serious bugs hashable, How to Unpack and Pattern Match sequences? Unpacking Sequences and Iterables Unpacking is an that consists of an of values to a list of variables in a single assignment statement, it avoids unnecessary and error-prone use of indexes to extract elements from sequences. operation assigning iterable coordinates = (33.9425, -118.408056)
latitude, longitude = coordinates # unpacking
print(latitude) 
# 33.9425
print(longitude) 
# -118.408056 We can use the excess operator * for tuples and the excess operator ** for dictionaries when unpacking too. The target of unpacking can use nesting, i.e. something like (a, b, (c, d)). Python will do the right thing if the value has the same nesting structure. # Tuple Example
fruits = ("apple", "mango", "papaya", "pineapple", "cherry")
(green, *tropic, red) = fruits
print(green)
# apple
print(tropic)
# ['mango', 'papaya', 'pineapple']
print(red)
# cherry

# Dictionary Example
def myFish(**fish):
    for name, value in fish.items():
        print(f'I have {value} {name}')

fish = {
    'guppies': 2,
    'zebras' : 5,
    'bettas': 10
}
myFish(**fish)

# I have 2 guppies
# I have 5 zebras
# I have 10 bettas

# Nested Unpacking Example
metro_areas = [
('Tokyo', 'JP', 36.933, (35.689722, 139.691667)),
('Delhi NCR', 'IN', 21.935, (28.613889, 77.208889)),
('Mexico City', 'MX', 20.142, (19.433333, -99.133333)),
('New York-Newark', 'US', 20.104, (40.808611, -74.020386)),
('São Paulo', 'BR', 19.649, (-23.547778, -46.635833)),
]

print(f'{"":15} | {"latitude":>9} | {"longitude":>9}')
for name, _, _, (lat, lon) in metro_areas:
    if lon <= 0:
        print(f'{name:15} | {lat:9.4f} | {lon:9.4f}')

#                     | latitude | longitude
# Mexico City         | 19.4333 | -99.1333
# New York-Newark     | 40.8086 | -74.0204
# São Paulo           | -23.5478 | -46.6358 Sequence Pattern Matching Pattern matching is done with the . It is very similar to the if-elif-else statement only cleaner more readable and wields the power of match/case statement Destructuring. is a more advanced form of , as it allows writing sequence patterns as tuples or lists or any combination of both. Destructuring unpacking Here’s a nice example I found on the that could simplify pattern matching with sequences. GUICommits website baskets = [
    ["apple", "pear", "banana"], 
    ["chocolate", "strawberry"], 
    ["chocolate", "banana"], 
    ["chocolate", "pineapple"], 
    ["apple", "pear", "banana", "chocolate"],
]
match basket:

    # Matches any 3 items
    case [i1, i2, i3]: 
        print(f"Wow, your basket is full with: '{i1}', '{i2}' and '{i3}'")
    # Matches >= 4 items
    case [_, _, _, *_] as basket_items:
        print(f"Wow, your basket has so many items: {len(basket_items)}")

    # 2 items. First should be chocolate, second should be strawberry or banana
    case ["chocolate", "strawberry" | "banana"]:
        print("This is a superb combination")

    # Any amount of items starting with chocolate
    case ["chocolate", *_]:
        print("I don't know what you plan but it looks delicious")

    # If nothing matched before
    case _:
        print("Don't be cheap, buy something else") One thing to point out, it’s that the matches any number of items, without binding them to a variable. Using extra instead of would bind the items to extra as a list with 0 or more items. *_ * *_ Time to Slice them Up A common feature of list, tuple, str, and all sequence types in Python is the support of slicing operations. We slice a list like this: , step is the number of items to skip. To evaluate the expression seq[start:stop:step], Python calls seq[start, stop, step] The Special Method . seq.getitem(slice(start, stop, step)) # On a list
l = [10, 20, 30, 40, 50, 60]
l[:2] # [10, 20]
l[2:] # [30, 40, 50, 60]
l[:3] # [10, 20, 30]

# On a str
s = 'bicycle'
s[::3] # 'bye'
s[::-1] # 'elcycib'
s[::-2] # 'eccb'

# Add, Mul, Del, assign operations on slices
l = list(range(10)) # [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
l[2:5] = [20, 30] # [0, 1, 20, 30, 5, 6, 7, 8, 9]
del l[5:7] # [0, 1, 20, 30, 5, 8, 9]

print(5 * 'abcd') # 'abcdabcdabcdabcdabcd' What's next? There are different uses for different types of sequences, and depending on your use case, there are better options. , M and are prime examples of that. Arrays emory views Double ended queues Memory Views The built-in class is a type that lets you handle slices of arrays . Using notation similar to the array module, the method lets you change the way multiple bytes are read or written as units without moving bits around. memoryview shared-memory sequence without copying bytes memoryview.cast The returns yet another object, always sharing the same memory. memoryview.cast memoryview octets = array('B', range(6)) # array of 6 bytes (typecode 'B')

m1 = memoryview(octets)
m1.tolist() # [0, 1, 2, 3, 4, 5]

m2 = m1.cast('B', [2, 3])
m2.tolist() # [[0, 1, 2], [3, 4, 5]]

m3 = m1.cast('B', [3, 2])
m3.tolist() # [[0, 1], [2, 3], [4, 5]]

m2[1,1] = 22
m3[1,1] = 33
print(octets) # array('B', [0, 1, 2, 33, 22, 5]) Also published here.

Pythonic Techniques for Handling Sequences

Due to publishing limitations, the groups of colors in this post are inserted as images. For the original version with embedded HTML and clickable names, see the original post Note: https://austingil.com/css-named-colors/ Did you know that CSS has Named Colors? Yeah, you’re probably familiar with “white” or “black”. But did you know there are keywords? 148 named color Some of them are silly, some are common, and some are downright useless. Who’s going to think, “You know what color we need here? Freakin’ blanchedalmond!” I don’t know why, but I absolutely love named colors, so I put together this collection of things I thought were helpful, cool, interesting, or funny. Organized By Group Reds Oranges Yellows Greens Blues Purples Browns Greys My favorite colors Color palettes Bold Pastel Neon Purps Synthwave Pointless facts Colors that make me hungry Colors experiencing identity crisis Names for exotic dancers Names for ninjas CSS Named Colors Organized by Group Most of the time, when I’m looking for something to do with named colors, I’m looking for a complete list of all the choices. I couldn’t find one I liked, so I made this one. Reds Oranges Yellows Greens Blues Purples Browns Greys (or Grays) My Favorite CSS Named Colors Cool Palettes Made With CSS Named Colors Just having a bunch of colors to choose from isn’t always helpful. I like having go-to palettes to make my life easier. I’m a big fan of neons, pastels, and purples, but I’m hardly a talented designer, so here we are. Please let me know if you have any more to add. :) Bold Pastel Neon Purps Synthwave Pointless Facts About CSS Named Colors The Colors “cyan” and “aqua” Have the Same Hex Value ( ). As Do “fuchsia” and “magenta” ( ). #00ffff #ff00ff It seems they couldn’t decide whether it should be spelled “gray” or “grey” so they went with both: gray/grey darkgray/darkgrey slategray/slategrey darkslategray/darkslategrey dimgray/dimgrey lightslategray/lightslategrey lightgray/lightgrey “dimgray” is darker than “gray” which is darker than “darkgray” (which makes no sense at all) which is darker than “lightgray” (ok, back on track). There are four different “goldenrod” options, but only “lightgoldenrodyellow” explicitly includes “yellow”. Greens have the most representation (26) and oranges have the least representation (11). This is, however, subjective due to how I narrowed the categories down to 7 different colors. Many of the colors are between two options and could go either way. And colors will appear different across browsers, devices, brightness, hell, even the tilt of your screen. And one last, not-so-pointless fact, the color “ ” was as a tribute to the life of Rebecca Alison Meyer, daughter of Eric Meyer. rebeccapurple added to the CSS spec in 2014 CSS Named Colors That Make Me Hungry bisque blanchedalmond chocolate darkolivegreen darkorange darksalmon honeydew lightsalmon lime limegreen mintcream olive olivedrab orange orangered papayawhip peachpuff plum salmon tomato wheat CSS Named Colors With an Identity Crisis “brown” is definitely a red. “darkslategray”/“darkslategrey” is more like a dark green. “darkslateblue” should have been darkslatepurple. “blueviolet” is just purple. CSS Named Colors For Exotic Dancers burlywood goldenrod palegoldenrod darkgoldenrod hotpink lavenderblush CSS Named Colors For Ninjas There’s really only one and it’s so good: “whitesmoke” Thank you so much for reading. If you liked this article, please . It’s one of the best ways to support me. You can also , or if you want to know when new articles are published. share it sign up for my newsletter follow me on Twitter Originally published on . austingil.com

CSS Named Colors: Everything Explained 

Tendril-Bearers—(continued)

Israeli startups embrace AI across multiple industries with great success – meanwhile investment in these companies exceeded $25 billion in 2021 alone. In recent years, Israel has established itself as a leading tech nation, raising capital and growing more unicorns than any other country (per 100,000 citizens). As a matter of fact, it’s precisely Israel that’s ahead of most other countries, both in terms of the number of successful AI startups, as well as the overall investment these businesses have been able to attract. All that despite the country’s small size by comparison. 2014-2019 The numbers speak for themselves. According to , Israel had around 500 registered AI companies that managed to raise over $500 million in funding in 2014. Over the next 4 years, these figures grew dramatically to the point that Israel counted as many as 1150 AI businesses in 2018. Together these companies raised an impressive $2.25 billion in funding. If we also include Israeli high-tech and deep-tech companies, the investment figures climb to a whopping $6 billion. Quite impressive for a nation of 9 million citizens that’s roughly the size of New Jersey. The Times of Israel In 2018, among the AI go-getters from Israel were those that worked on cybersecurity (Israel’s forte traditionally: around 20% of total funding,), healthcare (around 15% of total funding), followed by law, computer vision, and autonomous vehicles among other areas. What’s more, according to , of the roughly 6,800 tech startups in Israel that year, almost a quarter were involved in AI in one form or another – a baffling figure compared to the much humbler stats coming from other nations. Start-Up Nation Finder 2020-today Today, Israel is showing no signs of stopping or even slowing down – at least so far – regardless of the Pandemic. Israel continues to thrive. According to the , Israeli tech startups raised $10,3 billion in 2020, followed by $25,6 billion through 773 investment rounds last year. The latter figure is a 400% increase from 3 years ago and a 150% increase from 2020, mainly due to “the large number of deals over $100 million.” IVC-Meitar report Predictably, cybersecurity topped the list again with $6.5 billion in investment for all 4 quarters. The last quarter of 2021 was the strongest, having raised $8 billion across multiple industries. It’s important to note that 65% of that funding is foreign, with the US dominating both seed-stage and series A rounds. This comes as no surprise knowing the entrepreneurial spirit of the American businessman, combined with the fact that post-money valuation of the Israeli startups in 2021 rose a staggering 650% from the previous year alone. According to Mike Rimon from Meitar Law Offices, “2021 was the year of the Big Bang” for Israeli IPOs in the US. In addition to that, 13 Israeli companies went for the SPAC option (Special Purpose Acquisition Companies), which is another way for a private company to go public on the NYSE or Nasdaq. They successfully raised just under $3 billion in total. Israeli tech startups up close Among noteworthy tech startups from Israel today are , a B2B payment platform, and , a workforce management platform, that managed to raise $250 million each in their series D rounds in the fall of last year. Both companies are now valued at around $4 billion each. Melio Papaya Global , an Israeli cybersecurity company, managed to raise a record $400 million in funding last December. This is considered to be the biggest investment deal to date within the global cybersecurity sector. SoftBank led the round, a Tokyo-based conglomerate that focuses on investing in emerging technologies. SoftBank also gave $200 million in funding to , an Israeli IoT company backed by Amazon Web Services that utilizes Machine Learning (ML) for cloud intelligence. Claroty Wiliot Another 3 AI startups from Israel received over $350 million each in funding through several investment rounds. One of them is (formerly AnyVision), a platform with 3 flagship products that provides Fortune 500 brands with face-recognition and video-surveillance technology ($352 million). is another example, an AI company that helps businesses with audio, video, and text transcription and captioning ($550 million). And there’s , a conversation intelligence platform for B2B sales that uses ML and Natural Language Processing (NLP) to train and assist sales teams ($583 million). They’re also active in to ML training data. Oosto Verbit Gong.io bringing publicity CES top picks A few AI startups from Israel also made an appearance at the highly regarded (CES) in Las Vegas earlier this year – BioBeat, OrCam, and Cecilia among others. , a health-AI company, is focused on generating clinical data. One of its products that’s popular among doctors in Israel – and now spreading overseas – is an AI-powered patch that takes the patient’s measurements. From blood pressure to oxidation rate, there are 14 vital signs in total. Consumer Electronics Show BioBeat is an extraordinary company that helps visually impaired and legally blind individuals to walk in public and identify various places and items. One of the company’s groundbreaking products is MyEye Pro, an AI-powered navigation device that transforms text into speech for the wearer and whispers to them when a familiar face is recognized. OrCam On a less serious note, is the first AI-driven interactive bartender named after a speakeasy legend, Mary Louise Cecilia Guinan. The eight-foot-tall virtual mixologist uses cutting-edge voice-recognition technology to interact with the customer and offer them suggestions based on their needs, or even their mood. The robolady says: “I’m chattier than most robots you’ll meet. I talk, I listen, and I’m goddamn hilarious.” She can serve up to 120 cocktails per hour. Cecilia Takeaway As we’ve seen, Israel is setting a fine example for other countries to follow. For the past decade, Israeli startups have raised tens of billions of dollars – some of it for the tech sphere in general and some for the AI field in particular. Last year alone, the figures exceeded $25B. This year the numbers promise to reach a new peak, thanks to geo-political changes, Israel promises to be fertile ground for successful products. It will be interesting to see whether new Israeli tech startups will continue to emerge over the next few years. Given the current pace, what’s even more interesting is how the current high-innovation trend will evolve – both in terms of the AI products offered to the public and the amount of capital invested in these solutions.

Israel is Swiftly Becoming the World’s Leading AI Hub as Investments Continue to Surge in 2022

In 2021, the number of mobile app downloads reached 230 billion. The very thing is – it’ll keep growing. Can you wrap your mind around that for a second? Along with that, what is it you see right before going to sleep and first thing in the morning? My guess is a mobile screen: notifications, alerts, messages, anything. Right, we do the same. As an integral part of the tech junkie community, we’re always on the lookout for apps that make a difference. This time, we’ll tell you about some of the 10 most promising start-ups that are about to roll out their mobile apps in 2022. Get ready. 1. Weavit’ Weavit’s co-founder Emmanuel Lefort thought up a way to make note-making even more special. The basically mimics how the human brain entertains ideas and gives them structure. new app by Weavit It works like this: users dictate or type in their thoughts and ideas, and Weavit’s NLP-powered database links those notions to certain events, locations, people, and topics that are out there in the online universe. Here’s an example. You may think of introducing your idea to some individuals at an upcoming event. You’d type something along the lines of “say this and this at the ABC event, and make sure Chris T. and Hannah K. hear it.” Now, Weavit’s app identifies both the event and people’s names and offers you other event-related content. It can even display the mentioned persons’ companies or past meetings. And at this point, you don’t have to lift a finger – the system is automatic. Weavit founders made sure that all the data involved is encrypted. They call the app a “Shazam for your thoughts.” That’s a fact – you only need to let those thoughts free, and the app will do the organization. 2. Niantic Founded by John Hanke, Niantic delivers innovative software solutions and is most known for building such augmented reality apps as Ingress and Pokemon Go (recall the hype?). But that’s not what we’re here for. The company has recently received to create a real-world metaverse. $300 million in funding from a worldwide technology investor Coatue What are we dealing with? While many tech companies focus on metaverses, Niantic decided to go a step further. The startup revealed their plans to launch a universe that belongs in the real world – that is, with AR-powered technology, people can go out in the open and explore their surroundings using Niantic’s tools. These same tools activate actual objects, allowing people to enjoy an enriched reality while still connecting with their peers. The most value here lies in the fact that Niantic strives to bring people together instead of locking them inside and tying them to devices. , “At Niantic, we believe humans are the happiest when their virtual world leads them to a physical one.” Hanke himself stated Meet you out there. 3. nate The founder & CEO of nate, Albert Saniger, solved the struggle for many shoppers. Nate's well-funded – we’re talking – new app combines social media interactions and shopping in one. $38 million Here’s the catch: ate’s app saves user data needed for purchasing, such as payment and shipping details. So, when a user intends to buy anything from a supported online platform, they just need to redirect their purchase to the nate app. It handles the rest – and there’s no need to go through a lengthy checkout process every time. Nate’s users can buy products from , which make up 60% of the country’s e-commerce market. 2.1 million online US stores 4. Papaya Patrick Kann launched Papaya keeping in mind that payments can get as easy as ever. Same goes for anything else that comes with it, like scheduling and tracking – with Papaya, users can spend more time on what’s important and let the app do the work. The start-up raised a whopping from Sequoia Capital – a well-known capital group that recently invested in Airbnb, Stripe, and Apple. That’s impressive for a fresh company. $50 million in funding The mechanics: app users take a photo of a bill that needs to be paid (whether it’s healthcare services, rent or mortgage, parking, anything), select their payment method, and Papaya finishes the process for you. It also saves your billing history just to make sure nothing gets missed out. Such an untraditional way of paying bills is loved by many: it reduces stress, saves time, and is universal for different bill types. More benefits include Papaya’s as well as its speed of bill processing. All that’s needed from you is a mobile device and payment details. bank-level security backed by HIPAA and PCI compliance 5. Dream Games Soyner Aydemir managed to create a leading mobile gaming business – Dream Games – that has recently from Index Ventures, Makers Fund, IVP, and other major venture capitals. The start-up doubled its value in only 6 months. Let’s see why. gained $255 million in funding Dream Games’ most popular feature, Royal Match, ended up in the top 20 mobile games in the US, UK, and Germany. The latest funding is expected to develop the game even further. that “Dream Games approaches gaming in a way Pixar approaches filmmaking.” Aydemir stated The key points here are engagement and immersion. Users keep coming back for a rich experience regardless of the competition in the gaming world. As of now, Dream Games has gained around from investors. With more money allocated to mobile games, developers get a chance to push the limit further – and create gaming worlds no one would’ve expected to witness. $468 million 6. Honor Honor, a senior care startup founded by Seth Sternberg, in Series E funding and debt financing. The concept behind Honor was born as Sternberg quit his job at Google to provide care for his elderly mother. As of now, the unicorn startup’s value is over . And, Honor’s family app helps thousands. received $370 million $1.25 billion What does it do? With the Honor Family app, users can choose a date, location, and time to set up care visits. They receive an extensive care note including the completed tasks from the chosen carer, who also oversees other people visiting your loved one. Care professionals track any wellness indicators you’re worried about. An app like this makes a difference in the COVID-affected world. It enables caring for your loved ones from a distance and making sure they’re in good spirits. Regardless of your location, Honor brings family a bit closer. 7. Instacart Apoorva Mehta’s creation, Instacart, has been familiar to the masses for a while. Yet, it’s expected to augment after from investors Andreessen Horowitz, Sequoia Capital, D1 Capital Partners, Fidelity Management & Research Company, and T. Rowe Price Associates. securing $265 million in funding The point? Instacart simplifies grocery shopping by letting customers place orders online and get them delivered right to the door. These days, the app is markedly in demand. Instacart went further than decreasing social traffic in grocery stores. It now delivers prescription drugs, sports equipment, home decor, and practically anything else that helps people handle the pandemic with more convenience. Instacart currently works with . Now that social distancing and delivery services have become a new norm, start-ups like this one keep highlighting the importance of safety without sacrificing comfort. over 600 merchants across 45,000 US and Canadian stores 8. BillEase BillEase in a Series B funding round guided by the growth capital arm of Hubert Burda Media, BurdaPrincipal Investments. Founded by Ritche Weekun and his colleagues, the platform offers buy-now-pay-later services (BNPL) to Filipino residents. received $11 million In detail: app users can purchase goods and pay later with a digital wallet, direct debit, bank transfer, over-the-counter payment at smaller physical stores, or by linking their bank account to the app. BillEase works with 500 sellers and like GCash, PayMaya, Coins.ph, GrabPay and Shopee Pay. offers extra payments for digital wallets BillEase has a few features that make it stand out. It enables clients to create formal credit records and improves its functioning to make credit scores effortless. BillEase also owns its , with which over 90% of BNPL loans can be approved. With the investments aimed at further app development, the Philippines is on its way towards a better credit system. credit, fraud, and payment software stack 9. Masters In a funding round by Sweet Capital, Mucker Capital, Goodwater Capital, and Luxor Capital, Greg Drach’s app Masters . The app gives users an opportunity to work out along with the most known global athletes and get their guidance on training. gathered $2.7 million worth of investment According to , the company has signed up X Games athletes, three-time Olympic snowboarding champion Shaun White; World and nine-time U.S. champion in 3,000-meter steeplechase, Emma Coburn; surfing world champion, Kai Lenny; soccer superstar and Golden Ball winner, Ada Hegerberg; and two-time Wimbledon tennis champion, Petra Kvitova. And the list goes on. Techcrunch All the courses come in a format of high-quality videos, and every course merges thousands of active individuals. Each of them can easily connect to global sports legends with a functional device, and the entire community comes together to become healthier and stronger. Imagine the impact this has! 10. Pluang Pluang, an investment app created by Claudia Kolonas, Richard Chua, and Aditya Cha, closed off a Series B round led by Accel India with in funding. It also received investments from founders of Axie Infinity, Alexa von Tobel (ex-CEO of Learnvest), Sujata Bhatia (Monzo COO), Raghu Yarlagadda (FalconX CEO), The Chainsmokers, BRI Ventures, Gold House, and previous investors – Square Peg, Go-Ventures, UOB Venture Management, and Openspace Ventures. The start-up focuses on giving Indonesians opportunities to grow their wealth through investing. Pluang plans to expand and operate in other regions of South Asia. $55 million gained The point is: Pluang first started with gold and since then expanded the assets list to include indexes, mutual funds, and crypto assets, with plans to invest in US stocks. Every transaction is secured with an appropriate protocol. What’s more, the start-up partners with Indonesian tech companies to broaden their reach and sell more investment products. Pluang has also such as Gojek, DANA, Tokopedia and Bukalapak. become part of Indonesian super apps From January 2020 to November 2021, Pluang witnessed 22x growth in monthly transacting users and 28.5x growth in users with an active balance. As of now, there are over 4 million active users in Indonesia. And it doesn’t seem to stop moving forward. We’ve only covered a tiny fraction of all the promising tech start-ups the world is about to see skyrocket this year. One day, yours might end up on our next list.

10 Promising Mobile Apps by Startups to Watch Out for in 2022

Before ES6(ECMAScript 2015), we have used single quotes('...') and double quotes("...") to wrap string literals. A simple example is, msg = ; var "Hello, I'm Joe and my favorite color is purple" There were limitations when we had to concatenate multiple strings and the string literal has dynamic values. The readability of these concatenations used to be a challenge as well. frag1 = ; val1= ; frag2 = ; val2 = ; msg = frag1 + + val1 + + frag2 + + val2; var "Hello, I'm" var "Joe" var "and my favorite color is" var "purple" var ' ' ' ' ' ' Do you see another problem? If someone only reading the line where the concatenation takes place, he/she doesn't have much idea of the resultant string. With ES6 we have got template literals which are string literals that allow embedding expressions. Template literals are enclosed by the backtick (` `) characters instead of single or double-quotes. Template literals can contain placeholders that are specified by the dollar sign($) and curly braces(${expression}). The above example can be written with template literals as, name = ; color = ; message = ; .log(message); const 'Joe' const 'purple' const `Hello, I'm and my favorite color is ` ${name} ${color} console Output, Hello, I'm Joe and my favorite color is purple This is much better and favorable for developers to use. What is the Tagged Template Literal? A Tagged Template Literal is usually a function that precedes a template literal to help you in manipulating the output. It's fine if you find it confusing. We will understand it in a few simple steps. Let us take an example of this template literal again, `Hello, I'm and my favorite color is ` ${name} ${color} We want to manipulate the output such that, it returns a string like the below when we pass the name as, Joe and color as, green. Hello Joe, Have a Nice Day! We know your favorite color is green How about, displaying this message in the color that is passed as an expression to the template literal? Like this when the color value is green, Welcome Tag function Let us first create a tag function. This is a regular JavaScript function that should return a value as per your needs. This return value is usually a manipulated output based on the template literal strings and expressions. { ;
} ( ) function introduce return 'introduce...' Next, We mention the tag function before the template literal so that, the tag function gets associated with it. name = ; color = ; message = introduce ; const 'Joe' const 'green' const `Hello, I'm and my favorite color is ` ${name} ${color} Please note the tag function introduce before the template literal. Tag function takes arguments The first argument of a tag function contains an array of string values. The remaining arguments are related to the expressions. { .log( , strings); .log( , arg0); .log( , arg1); ;
} name = ; color = ; message = introduce ; ( ) function introduce strings, arg0, arg1 console 'strings' console 'arg0' console 'arg1' return 'introduce...' const 'Joe' const 'purple' const `Hello, I'm and is my favorite color!` ${name} ${color} The argument strings is an array of all the strings in the template literals and both arg0 and arg1 represent the name and color values here. Output, Passing the expressions as individual arguments is not so great. Think about it, if there are 10 expressions in a template literal. We can make use of JavaScript rest operator(...values) to collect the arguments as an array. { .log( , strings); .log( , values); ;
} name = ; color = ; message = introduce ; ( ) function introduce strings, ...values console 'strings' console 'values' return 'introduce...' const 'Joe' const 'purple' const `Hello, I'm and is my favorite color!` ${name} ${color} In this case, both strings and values are arrays. The strings argument contains all the strings where the values argument contains all the expression values. Output, Now, we can do everything possible with these strings and expression values to manipulate them. The desired output To get the desired output after the string manipulation, we will write a small logic inside the function. introduce unction introduce(strings, ...values) { msg = ; msg;
} name = ; color = ; message = introduce ; .log(message); let `<span style="color: ">
           Hello , Have a Nice Day! We know your favorite color is <u> </u>
      </span>` ${values[ ]} 1 ${values[ ]} 0 ${values[ ]} 1 return const 'Joe' const 'green' const `Hello, I'm and is my favorite color!` ${name} ${color} console We create a new template literal using the expression values and wrap it with the span element. Please notice, we have added a style to the span element to color the text as well. Output, Hello Joe, Have a Nice Day! We know your favorite color is green < = > span style "color:green" < > u </ > u </ > span Now, if you use the above output to add as innerHTML you can render it in the browser. .body.innerHTML = message; document Output, The text color will change as and when you change the color variable value in your code. Did you know 💅? If you are familiar with , you probably know about the . But, did you know, styled-components are created using tagged template literals? reactjs styled-component Yes true. Notice the syntax of a button created with the styled-component, Button = styled.button const `
  background-color: papayawhip;
  border-radius: 3px;
  color: palevioletred;
` Does it look familiar to the tagged template literal we learned? Read this awesome article to know more about it. The magic behind 💅 styled-components Conclusion Tagged Template Literals are powerful and the usage will vary from one application to another. At the same time, if you were new to it before reading the article, lookout for opportunities to use it. I have updated the with code examples. You may want to have a look. js-tips-tricks project in GitHub You may also like, My Favorite JavaScript Tips and Tricks Explain Me Like I am Five: What are ES6 Symbols? How to use JavaScript Collection with Map Everything you need to know about JavaScript Set JavaScript: Equality comparison with ==, === and Object.is If it was useful to you, please Like/Share so that, it reaches others as well. You can @ me on Twitter ( ) with comments, or feel free to follow me. @tapasadhikary Previously published at https://blog.greenroots.info/what-exactly-is-javascript-tagged-template-literal-ckg6hyekf000n8bs1hz9udvzc

What Is Tagged Template Literal In Javascript

Coronavirus COVID-19 666 Mark of The Beast Bible Prophecy, Vaccinations & Cryptocurrency

While the lending market craze is plummeting and the “yield farming” opportunities are not as profitable as they were in the beginning, you might be looking for new ways to put your money at work. In this article, I’m going to explore the best ways to leverage the current DeFi solutions for generating steady passive income at the lowest possible risk. DeFi and passive income (DeFi) is the Ethereum ecosystem composed of financial DApps, smart contracts and protocols that are looking to revolutionize conventional banking by replacing its services with trustless code. The main idea is that without a middleman (the bank) the fees are much lower, no centralized authority has access to your funds, and everyone will be able to take advantage of these services regardless of where they leave. Today, we are already having decentralized exchanges, lending markets, tokenization platforms, prediction markets, payment networks, and many more to come. Decentralized finance Cryptocurrency is the perfect response to the current broken financial system. Anyway, things are not as different as you might think. DeFi gives you access to your tokens in the same way a bank is giving you access to conventional money(more about the market). You can deposit, you can withdraw, you can spend them at your nearby store by using a payment card. And these services are extended to borrowing, lending, managing an investment portfolio. At the interaction level, today, there’s no big difference between a conventional financial system and a cryptocurrency-based one. info Banks are usually offering interest on your deposit which makes it appealing to keep your savings into their account. The “deposit interest rate” model is not bad. The actual interest rate that banks are offering is. In most cases, the interest rate for deposit accounts is under 2% while the annual inflation of developed countries is more than that. In the US the was 2.3%. In 2020 it will be even more than that due to the current global pandemic situation. In other words, even if you are earning interest on your money, in the end, it is still worth less than the year before. inflation in 2019 DeFi solutions are looking to take these working financial models and adjust them to the current reality: offer better interest rate, capital protection, and more investment options. Let’s find out what are the new decentralized services that you can take advantage of right now to transform your cryptocurrency savings into passive income generators! Structured deposits You’ve already seen that cryptocurrency is high-risk high-reward, while securities and bonds are presenting less risk and steady income. Anyway, neither of these is a good option for users who are looking to create a passive income stream. is one solution that merges the advantages of both markets by letting you choose your preferred investment strategy across them. The result? With one deposit you can choose: Gekkoin Capital protection up to 100% (no loss if the cryptocurrency price falls) and returns from 2% to 18% of the rate growth per annum. Or income up to 200% per annum (in case of cryptocurrency asset growth) with partial capital protection. Even the lower risk strategy offers better returns than any bank can offer for a deposit at this time. Gekkoin is managed by well-established company , which made a valuable collaboration with , a licensed broker  managing crypto related operations, with , a financial institution that helps to held financial services in the conventional field and with , a professional traders group to keep profit via stock market tools. The winning packages can be accessed under the form of a structured deposit. Adventarium Atlantex Papaya 8848invest In banking terminology, a structured deposit is a financial account where funds are placed into fixed deposits with an investment on particular assets. In this case, part of the investment will be made in securities and bonds providing a stable and secure income. While the other part of a cryptocurrency chosen by you. If the cryptocurrency shows significant growth, you can earn substantially more. If its price drops, the stable investment could compensate for it. In this way, Gekkoin provides guaranteed returns at a higher rate than banks and the possibility to significantly increase your earnings if the cryptocurrency market is growing. There is no other platform allowing its users to earn both on the growing and on the falling of the already full of risks cryptocurrency market. The financial background of the platform can be seen in the overall user experience. Starting with Gekkoin is not different than making a bank deposit. The minimum deposit amount is 100 EUR and there is no maximum limit which could lead to serious income with the right amount. Gekkoin users have the option to replenish an account with popular crypto of choice BTC, ETH, or MONERO. Once the deposit is in the platform acts as a fully-featured financial portfolio giving you access to instruments that are currently associated with conventional financial systems. Actually, within the platform, your investment is always tied to conventional currencies. That’s possible due to the fact that your deposit will be stored in EURG utility token (at a fixed exchange rate of 1 EURG = 1 EUR). Even if your investment is managed in cryptocurrency, you are always having access to your funds in the same way you would access your funds in the bank. While having all the advantages of a conventional banking service, you are also having the same opportunities as a professional investor: the ability to regulate risk and generate profit with your deposit. By default, the platform will give you the option to choose between three investment strategies: Safe strategy - for conservative investors who are looking for full capital protection Balanced strategy - for those investors who are looking for stable income with a minimum risk Dynamic strategy - for investors who are looking to take advantage of the high potential of cryptocurrencies despite the increased level of risk. With Gekkoin, investing can be more flexible and less risky, making cryptocurrency investment less of a gamble and more of a way to generate passive income. Lend for tokens Between “yield farming” and leveraged borrowing, the one solution you’ll see in the news is . It’s a loan market where you can borrow and lend cryptocurrency without a middleman. Lenders are earning interest similar to a financial institution, while borrowers need to deposit cryptocurrency as collateral. Compound Similar services were available before. Anyway, Compound is not a peer-to-peer matchmaker. You are not borrowing directly from a lender. All the lent assets go into a common “liquidity pool” from which borrowers can access directly. That’s why the interest rate is not fixed, but dynamically set by an algorithm based on the demand. Interest which is collected from borrowers then split between lenders. The whole system makes it profitable for both parties, and particularly lenders which are looking for a steady passive income for their deposited amounts. A steady income is nice. But Compound wanted to incentivize its users through its native token COMP. Anyone who would lend or borrow on their platform would also earn a small amount of COMP tokens. It was seen by the team as a great way to distribute their token. But, with the increased demand the token price kept rising, up to $250 a token. At this rate, the token returns are higher than the interest returns. When the token reached its peak, around 2,880 COMP tokens were issued a day. That’s $720,000 in cryptocurrency. What was supposed to be a passive earnings-generating platform became a get-rich grab. However, that ended fast. Today, COMP price is less than $200 and the codebase was already updated. Under the new rules, users will earn COMP on the dollar value of assets they have put in or borrowed from the system. That’s much less than the initial rewards. But the initial purpose of the platform of offering their lenders a way of generating passive income is still there. If their interest rate is attractive to you, you can check it out. Lend for interest Lending capital on a lending market is a way to earn income and you should know that Compound is not the only one. And, without the high income from the bonus COMP, the interest rate is the most important variable. As mentioned on Compound platform the rate is dynamically adjusted by their internal algorithm. Sometimes you can earn more, sometimes you can earn less. What if you are looking for a more stable income? , or ETHLend, as it was previously called, is a similar platform which offers flexible rates. This platform mostly differentiates itself from its competitors through the vast range of DeFi collateral. It’s one of the oldest projects in the market, launched in 2017, and, now, in 2020 holds a significant market share in the cryptocurrency lending space. Aave There are many lending platforms and most of them are limiting their users to their fixed interest rates just to be able to promise higher income rates. Anyway, with fixed interest, if borrowing is getting too expensive borrowers will go away, leaving lenders with no earnings until the market cools down. Basically, when the market is doing good, you, as a lender, you’re doing less income than before. This leads us to the second option, variable interest rate as seen in Compound. It solves the initial problem, but it brings new problems. The high swings in the demand-supply ratio are now translated into the interest rate. Sometimes you are earning a good income, sometimes you are earning very little income. There is no predictability, making it an awful tool for generating passive income. Aave changes it with a system where the lender can switch between the two types of interest rates. Depending on the market conditions you can choose a stable or a variable interest rate. This change made the platform very attractive and a real contender for passive income. Due to the stable rate usually being higher than the variable rate, the lenders are generally seeing higher returns. https://xkcd.com/947/ However, both Aave and Compound are lending markets where lenders and borrowers are indeed able to generate income. But the returns are marginal and you are always forced to choose a side. When you are lending you are hoping that the price of your asset will go up. While, when you are borrowing, you are thinking that the price might go down. If the opposite is happening, not only that you won’t earn any income, but, in the case of borrowing, you might lose all your collateral. This being said, always make sure you understand the position you are taking when making an investment, placing it in a structured deposit or lending it on a decentralized market. As Andreas Antonopoulos, blockchain educator said in one of : "Passive income is when you put your capital to work, and that carries some risks [...] An option is using a DeFi contract." He even mentioned that he managed to “generate a side capital” from  DeFi platforms himself. As long as you are aware of the risks and you know how to manage them you might be sitting on the best way to put your money at work at the present time! his streams

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