Devan  Johnson

Devan Johnson

1603099556

Berlin as an HR Tech Hub—10 Inspiring Startups and Their Tech Stacks

Yielding innovative startups and attracting established brands, Berlin has risen to prominence as a budding HR tech hub. And while many startups fail within five years after commencing operations, there is a strong bunch with the potential to revolutionize the industry and stay afloat.

By solving specific market problems and introducing clever approaches to inefficient processes, these startups fulfill the prerequisites necessary to grow. But there’s one more ingredient responsible for their success—a well-picked technology stack. So let’s explore 10 inspiring startups from Berlin along with their tech stacks.

TalentWunder

Talentwunder website screenshot

Talentwunder is an intelligent talent-sourcing search engine, containing over one billion profiles collected from 100+ different networks.

Equipped with a custom AI engine TEA, TalentWunder facilitates the candidate searching process. TEA analyzes big data from various sources to draw insight and suggest recommended keywords and searches that propose matching talent.

TalentWunder is also a platform for storing and managing candidate recruitment processes in a centralized location available across company departments. By being one place for all talent recruitment activities, TalentWunder fosters communication and ensures transparency in the hiring process.

This innovative HR solution has won numerous awards, including the Digital Leader Award 2019, Digital Champions Award 2018, HR Award 2017, and HR Innovation Award 2016.

#hr tech hub #talentwunder #hrtech

What is GEEK

Buddha Community

Berlin as an HR Tech Hub—10 Inspiring Startups and Their Tech Stacks
Devan  Johnson

Devan Johnson

1603099556

Berlin as an HR Tech Hub—10 Inspiring Startups and Their Tech Stacks

Yielding innovative startups and attracting established brands, Berlin has risen to prominence as a budding HR tech hub. And while many startups fail within five years after commencing operations, there is a strong bunch with the potential to revolutionize the industry and stay afloat.

By solving specific market problems and introducing clever approaches to inefficient processes, these startups fulfill the prerequisites necessary to grow. But there’s one more ingredient responsible for their success—a well-picked technology stack. So let’s explore 10 inspiring startups from Berlin along with their tech stacks.

TalentWunder

Talentwunder website screenshot

Talentwunder is an intelligent talent-sourcing search engine, containing over one billion profiles collected from 100+ different networks.

Equipped with a custom AI engine TEA, TalentWunder facilitates the candidate searching process. TEA analyzes big data from various sources to draw insight and suggest recommended keywords and searches that propose matching talent.

TalentWunder is also a platform for storing and managing candidate recruitment processes in a centralized location available across company departments. By being one place for all talent recruitment activities, TalentWunder fosters communication and ensures transparency in the hiring process.

This innovative HR solution has won numerous awards, including the Digital Leader Award 2019, Digital Champions Award 2018, HR Award 2017, and HR Innovation Award 2016.

#hr tech hub #talentwunder #hrtech

Hertha  Mayer

Hertha Mayer

1595334123

Authentication In MEAN Stack - A Quick Guide

I consider myself an active StackOverflow user, despite my activity tends to vary depending on my daily workload. I enjoy answering questions with angular tag and I always try to create some working example to prove correctness of my answers.

To create angular demo I usually use either plunker or stackblitz or even jsfiddle. I like all of them but when I run into some errors I want to have a little bit more usable tool to undestand what’s going on.

Many people who ask questions on stackoverflow don’t want to isolate the problem and prepare minimal reproduction so they usually post all code to their questions on SO. They also tend to be not accurate and make a lot of mistakes in template syntax. To not waste a lot of time investigating where the error comes from I tried to create a tool that will help me to quickly find what causes the problem.

Angular demo runner
Online angular editor for building demo.
ng-run.com
<>

Let me show what I mean…

Template parser errors#

There are template parser errors that can be easy catched by stackblitz

It gives me some information but I want the error to be highlighted

#mean stack #angular 6 passport authentication #authentication in mean stack #full stack authentication #mean stack example application #mean stack login and registration angular 8 #mean stack login and registration angular 9 #mean stack tutorial #mean stack tutorial 2019 #passport.js

Ilene  Jerde

Ilene Jerde

1597132703

How This Cybersecurity Startup Is Using Machine Learning

The COVID pandemic has massively escalated the surge of cyberattacks and data breaches despite having robust security controls, software, and solutions abundantly available in the market. A lot of this could be attributed to the vulnerability businesses offer the cybercriminals to take advantage of the situation quickly. While the conventional cybersecurity approach has benefited many, having cybersecurity without cyber-intelligence and necessary awareness can put the security professionals off-guarded to more complicated and novel threats.

Furthermore, with limited cybersecurity resources, businesses need to prioritise their efforts to strengthen cyber posture effectively; however, many organisations do not have an anchor point or a guiding principle, to begin with. With cyber-intelligence inputs missing from cybersecurity capabilities like incident management, vulnerability management, risk assessment and brand monitoring, businesses end up running their security practice in silos instead of an integrated approach.

And, thus, in an attempt to revolutionise the cyber threat visibility and intelligence market, CYFIRMA, a cyber analytics startup assists businesses to understand the relevance of the current threat landscape. Not only it provides insights on threat actors and indicators, emerging threats and digital risks, but also automatically applies intelligence into cyber posture management. To dig deeper, Analytics India Magazine got in touch with the chairman and CEO of the company, Kumar Ritesh, to understand how the company uses a predictive intelligence-driven approach to discover cyber threats.

#startups #cyber security startup india #cybersecurity startup #machine learning #startup #startups

Aria Barnes

Aria Barnes

1625490702

Is Full-Stack Developer A Vaccine For Startups?

There's a wise old saying: "Working with a full stack developer can lead to better technology solutions." And in recent years, this saying has proven to be true for many startups.

In the last few years, we have heard a lot about full-stack developers.

We know that a full-stack developer is a person who has complete knowledge of the different layers involved in application development. Whether you are dealing with the front or back end or working in the business layer, they take care of everything with ease.

But did you wonder why a full-stack developer is so important for a startup? 

This blog will answer all such queries. So let's get started.

The Demand for Full-Stack Developers

As per a development report published recently, it was seen that there had been a 206% increase in demand for full-stack developers from 2018 to 2020. This is because more companies seek multifaceted skills. 


Full-stack developers or a full-stack development company are able to take care of all the development needs of your project. So whether it's front-end or back-end development or enterprise layer development, they are competent to work on everything. You can always hire full-stack developers for your business needs.

What can a Full-Stack Developer Do?

In terms of software development, there are front-end developers and back-end developers. Front-end developers create the interface, while backend developers design the software. 

A full-stack developer can do everything. They take care of application design, server-side scripting, client-side coding, coding, administration, database creation, and any other project development needs.

The following are the responsibilities of a full stack developer that you hire:

  • Manage web development

  • Code applications and programs

  • Solve problems

  • Coordinate with other team members and developers

  • Think about testing techniques for web applications

In short, a full-stack developer has a strong understanding of the technologies that determine how a website looks, functions, and functions. The said developer must have a working knowledge of HTML, JavaScript, CSS, PHP, Angular, Ruby, MySQL, Node, MongoDB, Apache, etc. The knowledge to work with animations and design will add a bonus point to a candidate's portfolio.

Over time, the skills required for full-stack development have expanded and evolved. Long ago, the LAMP stack included Linux, Apache, MySQL, and PHP. It is more than MEAN and beyond today. 

Currently, a typical mean stack development service provides developers who can perform front-end development using JavaScript, HTML, CSS, and other JS frameworks; for the backend, they use Express and Node, and for databases, they follow MySQL and MongoDB.

Top Reasons to Hire Full-Stack Developers

  • Effective troubleshooting

When hiring a full-stack developer, companies are always looking for candidates who are capable of solving a problem. Full-stack developers are competent to handle all aspects of the project. They prove to be a practical solution for startups that are not willing to spend more money on many developers.

  • Wide range of technology skills

The main reason companies choose full-stack developers for their projects is their potential rather than their knowledge. Over time, companies teach them the skills they want them to have. In this way, in a few years, they learn different technological skills as the company expands.

  • Executive and management skills

Companies like to have people with business experience on board. A full-stack developer has the knowledge and expertise to work on the front-end, backend, and media architecture layers. This means that they are capable of performing better than an individual front-end or backend developer.

  • Economic

As full-stack developers can develop all aspects of a project, it is not necessary to form a team of experts. They will easily handle the project without help from anyone. This will save the right amount of money for the recruiting team.

  • Faster development process

Full-stack developers know different technologies, tools, and techniques. This means that when they take the project, they will be able to complete it faster. They will spend less time discussing and collaborating with the team on the project.

Benefits of Full-Stack Developers for Startups and Small Businesses

  • Established developers

Full-stack developers have enough experience to create outstanding features for the final product, which will be able to excite the market. They have the ability to build a complete product from scratch. If you want to gain some benefits from your product, you will have to collaborate with these experts. Remember that not all developers are capable of handling the project from a 360-degree perspective.

  • Versatility

A full-stack developer is able to work equally well on the front-end and the backend of a website or application. Front-end developers write code using JavaScript, HTML, and CSS, which are able to control the appearance of the solution and how it interacts with the browser and users. Backend developers write code that connects the website or application with other content management systems. A full-stack developer is capable of handling both tasks. They are focused on meeting customer expectations and finding solutions on their own.

 

  • Vast experience

Full-stack developers take on different web projects. This has helped them gain in-depth knowledge of various technologies and the experience to find quick solutions in web and application development. Such understanding and knowledge improve the performance of the project and its reception in the market.

  • The largest photograph

The main advantage of choosing a full-stack developer for your project is that they will come up with the complete structure of the project and offer their valuable input to the project as needed. Their services go beyond project development to maintain and optimize existing solutions.

  • Upgrades

Web design plays a crucial role in whether most people love or reject a website. Full-stack developers will make sure that the website is pretty user-friendly. They keep up with trends and technological innovations. To make sure their clients get the best interactive and responsive website, the developers implement intelligent features in their projects.

  • Troubleshooting issues

Full-stack developers have complete knowledge and experience of the different stages and aspects of website development. They are skilled enough to identify problems that may arise during the development of the project. They will propose long-term solutions to ensure that the website or application works optimally based on their findings.

  • All-inclusive

In addition to leading your web project and enabling enhancements to it, full-stack developers move to the level of representing your product to stakeholders or your company at conferences. They can move quickly from one operation to another with ease, streamlining the development process.

  • Economic

If you are on a tight budget but want to create a fantastic website, then you should consider hiring full developers for the job. You can even think about having a remote full-stack developer for the project. As such, a developer is capable of handling all aspects of project development; you won't have to hire different people for the job. This will save you a lot of money.

  • Delivery time

It will be easy for developers to share responsibilities among the team and coordinate with each other for better project progress. This will result in faster delivery of the project.

  • Project ownership

When you hire full-stack developers for your project, you can be sure that they will take care of everything. Such a developer will be able to develop MVP from start to finish. If you hire a full-stack developer in the middle of the project, even then, you'll find a way to join the flow seamlessly. Such a developer will work towards quality control of the design project.

 

 

Summing Up

So these were the advantages of hiring a full-stack developer. I hope you have noted the changes that a full-stack developer can bring to the table and in your company. However, working with a full-stack developer is the best way to work with a top full-stack development company in India.

It is a good idea that full-stack development companies bring to your projects are phenomenal and groundbreaking due to the expertise and experience that full-stack development companies bring to your projects.

If you have any other queries or suggestions, feel free to comment below.

Original source

#full stack developers #hire full stack developers #full stack development #mean stack development service #hire full stack developer india #hire full stack developer

Connor Mills

Connor Mills

1670560264

Understanding Arrays in Python

Learn how to use Python arrays. Create arrays in Python using the array module. You'll see how to define them and the different methods commonly used for performing operations on them.
 

The artcile covers arrays that you create by importing the array module. We won't cover NumPy arrays here.

Table of Contents

  1. Introduction to Arrays
    1. The differences between Lists and Arrays
    2. When to use arrays
  2. How to use arrays
    1. Define arrays
    2. Find the length of arrays
    3. Array indexing
    4. Search through arrays
    5. Loop through arrays
    6. Slice an array
  3. Array methods for performing operations
    1. Change an existing value
    2. Add a new value
    3. Remove a value
  4. Conclusion

Let's get started!


What are Python Arrays?

Arrays are a fundamental data structure, and an important part of most programming languages. In Python, they are containers which are able to store more than one item at the same time.

Specifically, they are an ordered collection of elements with every value being of the same data type. That is the most important thing to remember about Python arrays - the fact that they can only hold a sequence of multiple items that are of the same type.

What's the Difference between Python Lists and Python Arrays?

Lists are one of the most common data structures in Python, and a core part of the language.

Lists and arrays behave similarly.

Just like arrays, lists are an ordered sequence of elements.

They are also mutable and not fixed in size, which means they can grow and shrink throughout the life of the program. Items can be added and removed, making them very flexible to work with.

However, lists and arrays are not the same thing.

Lists store items that are of various data types. This means that a list can contain integers, floating point numbers, strings, or any other Python data type, at the same time. That is not the case with arrays.

As mentioned in the section above, arrays store only items that are of the same single data type. There are arrays that contain only integers, or only floating point numbers, or only any other Python data type you want to use.

When to Use Python Arrays

Lists are built into the Python programming language, whereas arrays aren't. Arrays are not a built-in data structure, and therefore need to be imported via the array module in order to be used.

Arrays of the array module are a thin wrapper over C arrays, and are useful when you want to work with homogeneous data.

They are also more compact and take up less memory and space which makes them more size efficient compared to lists.

If you want to perform mathematical calculations, then you should use NumPy arrays by importing the NumPy package. Besides that, you should just use Python arrays when you really need to, as lists work in a similar way and are more flexible to work with.

How to Use Arrays in Python

In order to create Python arrays, you'll first have to import the array module which contains all the necassary functions.

There are three ways you can import the array module:

  1. By using import array at the top of the file. This includes the module array. You would then go on to create an array using array.array().
import array

#how you would create an array
array.array()
  1. Instead of having to type array.array() all the time, you could use import array as arr at the top of the file, instead of import array alone. You would then create an array by typing arr.array(). The arr acts as an alias name, with the array constructor then immediately following it.
import array as arr

#how you would create an array
arr.array()
  1. Lastly, you could also use from array import *, with * importing all the functionalities available. You would then create an array by writing the array() constructor alone.
from array import *

#how you would create an array
array()

How to Define Arrays in Python

Once you've imported the array module, you can then go on to define a Python array.

The general syntax for creating an array looks like this:

variable_name = array(typecode,[elements])

Let's break it down:

  • variable_name would be the name of the array.
  • The typecode specifies what kind of elements would be stored in the array. Whether it would be an array of integers, an array of floats or an array of any other Python data type. Remember that all elements should be of the same data type.
  • Inside square brackets you mention the elements that would be stored in the array, with each element being separated by a comma. You can also create an empty array by just writing variable_name = array(typecode) alone, without any elements.

Below is a typecode table, with the different typecodes that can be used with the different data types when defining Python arrays:

TYPECODEC TYPEPYTHON TYPESIZE
'b'signed charint1
'B'unsigned charint1
'u'wchar_tUnicode character2
'h'signed shortint2
'H'unsigned shortint2
'i'signed intint2
'I'unsigned intint2
'l'signed longint4
'L'unsigned longint4
'q'signed long longint8
'Q'unsigned long longint8
'f'floatfloat4
'd'doublefloat8

Tying everything together, here is an example of how you would define an array in Python:

import array as arr 

numbers = arr.array('i',[10,20,30])


print(numbers)

#output

#array('i', [10, 20, 30])

Let's break it down:

  • First we included the array module, in this case with import array as arr .
  • Then, we created a numbers array.
  • We used arr.array() because of import array as arr .
  • Inside the array() constructor, we first included i, for signed integer. Signed integer means that the array can include positive and negative values. Unsigned integer, with H for example, would mean that no negative values are allowed.
  • Lastly, we included the values to be stored in the array in square brackets.

Keep in mind that if you tried to include values that were not of i typecode, meaning they were not integer values, you would get an error:

import array as arr 

numbers = arr.array('i',[10.0,20,30])


print(numbers)

#output

#Traceback (most recent call last):
# File "/Users/dionysialemonaki/python_articles/demo.py", line 14, in <module>
#   numbers = arr.array('i',[10.0,20,30])
#TypeError: 'float' object cannot be interpreted as an integer

In the example above, I tried to include a floating point number in the array. I got an error because this is meant to be an integer array only.

Another way to create an array is the following:

from array import *

#an array of floating point values
numbers = array('d',[10.0,20.0,30.0])

print(numbers)

#output

#array('d', [10.0, 20.0, 30.0])

The example above imported the array module via from array import * and created an array numbers of float data type. This means that it holds only floating point numbers, which is specified with the 'd' typecode.

How to Find the Length of an Array in Python

To find out the exact number of elements contained in an array, use the built-in len() method.

It will return the integer number that is equal to the total number of elements in the array you specify.

import array as arr 

numbers = arr.array('i',[10,20,30])


print(len(numbers))

#output
# 3

In the example above, the array contained three elements – 10, 20, 30 – so the length of numbers is 3.

Array Indexing and How to Access Individual Items in an Array in Python

Each item in an array has a specific address. Individual items are accessed by referencing their index number.

Indexing in Python, and in all programming languages and computing in general, starts at 0. It is important to remember that counting starts at 0 and not at 1.

To access an element, you first write the name of the array followed by square brackets. Inside the square brackets you include the item's index number.

The general syntax would look something like this:

array_name[index_value_of_item]

Here is how you would access each individual element in an array:

import array as arr 

numbers = arr.array('i',[10,20,30])

print(numbers[0]) # gets the 1st element
print(numbers[1]) # gets the 2nd element
print(numbers[2]) # gets the 3rd element

#output

#10
#20
#30

Remember that the index value of the last element of an array is always one less than the length of the array. Where n is the length of the array, n - 1 will be the index value of the last item.

Note that you can also access each individual element using negative indexing.

With negative indexing, the last element would have an index of -1, the second to last element would have an index of -2, and so on.

Here is how you would get each item in an array using that method:

import array as arr 

numbers = arr.array('i',[10,20,30])

print(numbers[-1]) #gets last item
print(numbers[-2]) #gets second to last item
print(numbers[-3]) #gets first item
 
#output

#30
#20
#10

How to Search Through an Array in Python

You can find out an element's index number by using the index() method.

You pass the value of the element being searched as the argument to the method, and the element's index number is returned.

import array as arr 

numbers = arr.array('i',[10,20,30])

#search for the index of the value 10
print(numbers.index(10))

#output

#0

If there is more than one element with the same value, the index of the first instance of the value will be returned:

import array as arr 


numbers = arr.array('i',[10,20,30,10,20,30])

#search for the index of the value 10
#will return the index number of the first instance of the value 10
print(numbers.index(10))

#output

#0

How to Loop through an Array in Python

You've seen how to access each individual element in an array and print it out on its own.

You've also seen how to print the array, using the print() method. That method gives the following result:

import array as arr 

numbers = arr.array('i',[10,20,30])

print(numbers)

#output

#array('i', [10, 20, 30])

What if you want to print each value one by one?

This is where a loop comes in handy. You can loop through the array and print out each value, one-by-one, with each loop iteration.

For this you can use a simple for loop:

import array as arr 

numbers = arr.array('i',[10,20,30])

for number in numbers:
    print(number)
    
#output
#10
#20
#30

You could also use the range() function, and pass the len() method as its parameter. This would give the same result as above:

import array as arr  

values = arr.array('i',[10,20,30])

#prints each individual value in the array
for value in range(len(values)):
    print(values[value])

#output

#10
#20
#30

How to Slice an Array in Python

To access a specific range of values inside the array, use the slicing operator, which is a colon :.

When using the slicing operator and you only include one value, the counting starts from 0 by default. It gets the first item, and goes up to but not including the index number you specify.


import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#get the values 10 and 20 only
print(numbers[:2])  #first to second position

#output

#array('i', [10, 20])

When you pass two numbers as arguments, you specify a range of numbers. In this case, the counting starts at the position of the first number in the range, and up to but not including the second one:

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])


#get the values 20 and 30 only
print(numbers[1:3]) #second to third position

#output

#rray('i', [20, 30])

Methods For Performing Operations on Arrays in Python

Arrays are mutable, which means they are changeable. You can change the value of the different items, add new ones, or remove any you don't want in your program anymore.

Let's see some of the most commonly used methods which are used for performing operations on arrays.

How to Change the Value of an Item in an Array

You can change the value of a specific element by speficying its position and assigning it a new value:

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#change the first element
#change it from having a value of 10 to having a value of 40
numbers[0] = 40

print(numbers)

#output

#array('i', [40, 20, 30])

How to Add a New Value to an Array

To add one single value at the end of an array, use the append() method:

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#add the integer 40 to the end of numbers
numbers.append(40)

print(numbers)

#output

#array('i', [10, 20, 30, 40])

Be aware that the new item you add needs to be the same data type as the rest of the items in the array.

Look what happens when I try to add a float to an array of integers:

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#add the integer 40 to the end of numbers
numbers.append(40.0)

print(numbers)

#output

#Traceback (most recent call last):
#  File "/Users/dionysialemonaki/python_articles/demo.py", line 19, in <module>
#   numbers.append(40.0)
#TypeError: 'float' object cannot be interpreted as an integer

But what if you want to add more than one value to the end an array?

Use the extend() method, which takes an iterable (such as a list of items) as an argument. Again, make sure that the new items are all the same data type.

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#add the integers 40,50,60 to the end of numbers
#The numbers need to be enclosed in square brackets

numbers.extend([40,50,60])

print(numbers)

#output

#array('i', [10, 20, 30, 40, 50, 60])

And what if you don't want to add an item to the end of an array? Use the insert() method, to add an item at a specific position.

The insert() function takes two arguments: the index number of the position the new element will be inserted, and the value of the new element.

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#add the integer 40 in the first position
#remember indexing starts at 0

numbers.insert(0,40)

print(numbers)

#output

#array('i', [40, 10, 20, 30])

How to Remove a Value from an Array

To remove an element from an array, use the remove() method and include the value as an argument to the method.

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

numbers.remove(10)

print(numbers)

#output

#array('i', [20, 30])

With remove(), only the first instance of the value you pass as an argument will be removed.

See what happens when there are more than one identical values:


import array as arr 

#original array
numbers = arr.array('i',[10,20,30,10,20])

numbers.remove(10)

print(numbers)

#output

#array('i', [20, 30, 10, 20])

Only the first occurence of 10 is removed.

You can also use the pop() method, and specify the position of the element to be removed:

import array as arr 

#original array
numbers = arr.array('i',[10,20,30,10,20])

#remove the first instance of 10
numbers.pop(0)

print(numbers)

#output

#array('i', [20, 30, 10, 20])

Conclusion

And there you have it - you now know the basics of how to create arrays in Python using the array module. Hopefully you found this guide helpful.

You'll start from the basics and learn in an interacitve and beginner-friendly way. You'll also build five projects at the end to put into practice and help reinforce what you learned.

Thanks for reading and happy coding!

Original article source at https://www.freecodecamp.org

#python