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Yogesh Technical Support (English Only), India
$9 /hr
10 Years Exp.
0 Followers
Support Specialist (Technical: Total Experience: 10 years) • Combination of Technical Support and Customer Service • Have been a part of Global Su...Read More
Manjunath .aSoftware developer, India
$25 /hr
4 Years Exp.
0 Followers
Hi, Myself Manjunath. From past 4+ years, I am working as an application developer in telephony sector, configuring Vicidial/goautodial, elastix,...Read More
Madhu KumarSoftware Developer , India
$25 /hr
4 Years Exp.
0 Followers
i have 4 years of working experience as an application developer in telephony sector, configuring Vicidial/goautodial, elastix, FreePBX and Custom Ap...Read More
Sangeeth Kumarsenior software engineer, India
$50 /hr
6 Years Exp.
0 Followers
I have total 6+ in voip product development .I had developed a programmable Unified communication platform from strach using freeswitch,lua,php cass...Read More
Senjam Asterisk VOIP SIP IVR , India
$15 /hr
7 Years Exp.
0 Followers
I have 7 years experience in building voice communication systems and integrated the use of several applications including technologies like SIP, VOIP...Read More
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Now a days, the popularity of scientific computing environments such as IDL, Maple, Mathematica, Matlab and R has increased considerably. Engineer simply feel more productive in such environments. One reason is the simple and clean syntax of command languages in these environments. Another factor is tight integration of simulation and visualization in Maple, R and similar environments you can quickly and conveniently visualize what you just have computed. One problem with the mentioned environments is that they do not work, at least not in an easy way, with other types of numerical software and visualization systems. Many of the environment specific programming languages are also quite simple or primitive. At this point scripting in Python comes in.

 

Python offers the clean and simple syntax of the popular scientific computing environments, the language is very powerful, and there are lots of tools for simulation, visualization, and data analysis programs. Python allows you to build your own Matlab like scientific computing environment, tailored to your specific needs and based on your favorite high performance FORTRAN, C, or C++ codes.

 

Scientific Computing Is More Than Number Crunching: Many computational scientists work with their own numerical software development and realize that much of the work is not only writing computationally intensive number-crunching loops. Very often programming is about shuffling data in and out of different tools, converting one data format to another, extracting numerical data from a text, and administering numerical experiments involving a large number of data files and directories. Such tasks are much faster to accomplish in a language like Python than in FORTRAN, C, C++, and C#.

 

Scripting is particularly attractive for building demos related to teaching or project presentations. Such demos benefit greatly from a GUI, which offers input data specification, calls up a simulation code, and visualizes the results. The simple and intuitive syntax of Python encourages users to modify and extend demos on their own, even if you are newcomers to Python.

 

Python has some clear advantageous over Matlab and similar environments:

  • The Python programming language is more powerful.
  • The Python environment is completely open and made for integration with external tools.
  • A complete toolbox/module with lots of functions and classes can be contained in a single file.
  • Transferring functions as arguments to functions is simpler.
  • Nested, heterogeneous data structures are simple to construct and use.
  • Object-oriented programming is more convenient.
  • Interfacing C, C++, and FORTRAN code is better supported and therefore simpler.
  • Scalar functions work with array arguments to a larger extent (without modifications of arithmetic operators).
  • The source is free and runs on more platforms.

 

How to run Python script

One of the most important skills you need to build as a Python developer is to be able to run Python scripts and code. This is going to be the only way for you to know if your code works as you planned. It’s even the only way of knowing if your code works at all!

 

A Python script is a reusable set of code which is essentially a Python program or a sequence of Python instructions contained in a file. You can run the program by specifying the name of the script file to the interpreter. 

 

This step-by-step will guide you through a series of ways to run Python scripts, depending on your environment, platform, needs, and skills as a programmer. When you try to run Python scripts, a multi-step process begins. 

 

  1. Run Python Scripts Using the Command-Line: A Python interactive session will allow you to write a lot of lines of code, but once you close the session, you lose everything you’ve written. That’s why the usual way of writing Python programs is by using plain text files. By convention, those files will use the .py extension. Open a command-line and type in the word ‘python’ followed by the path to script file and press enter. You’ll see output on your screen.
  2. Run Python Scripts Interactively: It is also possible to run Python scripts and modules from an interactive session. This option offers you a variety of possibilities.
    • Taking advantage of import
    • Use importlib and imp
    • Use runpy.run_module()
    • Hacking exec()
    • Use execfile()
  3. Run Python Scripts from an IDE or a Text Editor: IDE offer the possibility of running your scripts from inside the environment itself. It is common for them to include a Run or Build command, which is usually available from the tool bar or from the main menu.
  4. Run Python Scripts From a File Manager: Running a script by double-clicking on its icon in a file manager is another possible way to run your Python scripts. This option may not be widely used in the development stage, but it may be used when you release your code for production.

 

After you play around with Python on your own or in an online tutorial, I highly recommend to you to write small scripts to strengthen your knowledge. To stay motivated, choose a program that is in some way useful to you, so you can gain insight while figuring out Python. Below are a few ways you can begin to build your expert level in Python script:

 

  • Python Documentation
  • Google and stackoverflow
  • Ask an experience person

 

First, create a very basic version end-to-end. It is much less frustrating than trying to build a super-duper version from scratch. A big plus is that you will have something you can use very fast. Then iterate and add more complex functionality one by one.

 

Second, decompose large problems to smaller ones by introducing functions. Small, cohesive functions are easy to understand, test and debug.

 

Last, but probably the most important thing to keep in mind, is practice makes perfect. Start small, be patient and practice. Happy coding!

Android is the world’s most popular mobile OS in the mobile market. From phones and watches to cars and TVs, customise your digital life with Android. Many companies preferred Android to begin mobile application development, or entering to the mobile development market because it has a lower cost barrier than iOS. 

Android is an open source software stack for a wide range of mobile devices and a corresponding open source project led by Google. The Android Open Source Project (AOSP) repository offer the information and source code you need to create custom variants of the Android stack, port devices and accessories to the Android platform, and ensure your devices meet compatibility requirements.

Now, it’s time to find and hire a developer to turn your creative and amazing ideas into a tangible app. Here’s a look at what Android developers do so you’re prepared to hire the best one for your Android project.

 

What Does An Android Developer Do?

An Android Developer designs and builds advanced applications for the Android platform and has a solid understanding of the full mobile development life-cycle. Through their creations they give the companies they work for the best opportunity to reach users and make an impact worldwide.

An Android developer is in charge of developing applications for devices powered by the Android operating system. They have a strong understanding of the patterns and practices that revolve around such platform. Moreover, they ensure the best possible performance, quality, and responsiveness of the application.

An Android developer takes project specifications and turns them into a tangible application that can be submitted and published in the Google Play store. Most mobile app projects have a design phase, a development phase, and a submission process. Many Android app developers are “full stack,” handling both design, UI and app coding, but you may choose to have both a designer and a programmer on your app’s development team. Just note that UX (user experience) and UI (user interface) design are two different skill sets that are important for the success of your project. If you decide to hire separate contractors for each component, you need one for UX and one for UI.

Android developer skills are separated into three levels depending on their experience. Developers start at the junior phase for the first few years, although the number of apps they’ve developed and the apps’ complexity are far more important when you determine the right developer for your project. After working alongside more experienced developers, they move to the intermediate phase where they can work on more projects independently. After several years working with complex Android applications, a developer is considered senior level. A senior developer can not only code a project, but they can also make decisions about how to design products. All Android developers should be familiar with:

 

  • Android Studio
  • Android Material Design Guidelines
  • Java and the Android SDK
  • The Emulator
  • Publishing to the Google Play Store

The developer you need will be determined by your project requirements. If you’re creating a new app from scratch, you’ll need a senior-level developer with the experience to take the project from the beginning and see it through to completion. Junior and intermediate level developers are beneficial for small changes, but a senior developer should review the code before it’s put into production.

 

How To Define Your Android Project

To find the right freelance developer, you need to write the project with as much detail and documentation as possible. This could be better for developer to choose the right track to start the work. Android Studio makes it easy to create Android apps for various form factors, such as handsets, tablets, TV, and Wear devices. 

This article shows you how to start a new Android app project or import an existing project with your developer. Two major things to learn before start to work on the project. 

 

  1. Are you creating an app from scratch?
  2. Do you have an existing app that needs some bugs fixed?

Define your criteria. What kind of freelance developer you need (Junior or Senior) This enables you to describe the tasks to be done with runtime alerts and notification using the Toogit Project Management Tool, this gives you some direction on development level.

 

Next, Evaluate what type of challenges freelance android developer may face. This evaluation is most important to write the timeline for your project.

 

Toogit have more experienced android developers. They should guide and develop your project with a professional way. Always remember that more experienced Freelance Android developers on Toogit may charge more even for simple requirements. If you don’t have any understanding of the development process, it might be better to stick with a senior-level developer. A senior-level developer can help guide you through the process.

 

If you have a smaller budget and simple bug fixes or additions, you can specify that you need a junior-level or intermediate-level developer, but remember that they may not have the skill set to see a larger project through to completion.

 

The final aspect of your project to mention is its duration (time and cost) it will take to complete. Android development projects can take a week, a month, six months, or more. The duration is often determined by the developer based on your project description, but you can at least provide an estimate or a deadline, if applicable.

 

Once you get an estimate of how long the project will take, work with your developer to break down the project into releases if you have a flat-rate cost estimate. You can break the project into phases and ask for specific deliverables by particular deadlines.

Example phases include the following deliverables:

 

 

Your Android Application Project Description Writing Guide

How you can write a brief and attractive Android Mobile Application Job description and post it for free? This guide will help you. The way you write a description will determine the quality of developer that you’ll attract. It’s important to write a detailed desciription of job which helps to build the top android the developer interaction in your project and they submit proposals with fairly accurate cost and time estimates on Toogit.

 

The title of your project description can include the type of development that you need. You know that you need an Freelance Android developer, but do you need a designer and a programmer? Do you need someone who understands a specific framework and the latest versions of android? The title should pull best Freelance Android developers with a specific skill set.

 

Next, What type of application do you want developed (gaming, educational, entertainment, etc.)? If you have documentation / excel / slides / pdfs or referrence URLs that shows basic wireframes or ideas, you can include these in your project description. Describe the project in simple and straight way with key points & modules it gives a developer a good sense of the work to be done. If you need the developer to sign an agreement, you can also specify this requirement in your description.

 

Part of your description should also define the deliverables including any designs, APIs, and full source code that can be uploaded to the Google Play Store. The source code is usually delivered using a version control solution such as Git, and then it can be uploaded to Google Play. You might not know the skill set level that you need, but being descriptive will help providers determine if they have the right experience for your project.

Sample

Below is a sample of how a project description may appear. 

Project Title: 

Android Developer for Online Hotel Booking App

Description:

We are looking for an Android developer to design and program a hote booking app. We have ideas and documentation included in this job post, but we require a developer, designer to paint the design into a workable hotel booking app. 

 

The perfect developer will provide us with the .apk that we can upload to Google Play (Store). All source code, assets, databases, and design will be transferred after the project is complete. We expect the project to be divided into phases/releases where the first phase includes design and assets. The 2nd phase is the development (coding), and the final phase is testing.

 

The estimated duration of this project is six months. We need the completed hotel booking app by <your target date>

 

A chatbot is an artificial intelligence powered piece of software in a device, application, web site or alternative networks that try to complete consumer’s needs and then assist them to perform a selected task. Now a days almost every company has a chatbot deployed to interact with the users.

 

Chatbots are often used in many departments, businesses and every environment. They are artificial narrow intelligence (ANI). Chatbots only do a restricted quantity of task i.e. as per their design. However, these Chatbots make our lives easier and convenient. The trend of Chatbots is growing rapidly between businesses and entrepreneurs, and are willing to bring chatbots to their sites. You might also produce it yourself using Python.

 

How do chatbots work?

There are broadly two variants of chatbotsRule-Based and Self learning.

  1. In a Rule-based approach, a bot answers questions based on some rules on that it is trained on. The rules outlined could be very easy to very complicated. The bots will handle easy queries but fail to manage complicated ones.
  2. The Self learning bots are those that use some Machine Learning-based approaches and are positively a lot of economical than rule-based bots. These bots may be of additional two types: Retrieval based or Generative.
    1. In retrieval-based models, Chatbot uses the message and context of conversation for selecting the best response from a predefined list of bot messages.
    2. Generative bots can generate the answers and not always reply with one of the answers from a set of answers. This makes them more intelligent as they take word by word from the query and generates the answers.

 

Building a chatbot using Python

NLP:

The field of study that focuses on the interactions between human language and computers is called Natural Language Processing. NLP is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way. However, if you are new to NLP, you can read Natural Language Processing in Python.

 

NLTK:

NLTK (Natural Language Toolkit) is a leading platform for building Python programs to work with human language data. It provides easy-to-use lexical resources such as WordNet, along with a suite of text processing libraries.

 

Importing necessary libraries

import nltk 

import numpy as np 

import random 

import string # to process standard python strings

 

Copy the content in text file named ‘chatbot.txt’, read in the text file and convert the entire file content into a list of sentences and a list of words for further pre-processing.

 

f=open('chatbot.txt','r',errors = 'ignore')

raw=f.read()

raw=raw.lower()# converts to lowercase

nltk.download('punkt') # first-time use only

nltk.download('wordnet') # first-time use only

sent_tokens = nltk.sent_tokenize(raw)# converts to list of sentences 

word_tokens = nltk.word_tokenize(raw)# converts to list of words

 

Pre-processing the raw text

We shall now define a function called LemTokens which will take as input the tokens and return normalized tokens.

 

lemmer = nltk.stem.WordNetLemmatizer()

#WordNet is a semantically-oriented dictionary of English included in NLTK.

def LemTokens(tokens):     

return [lemmer.lemmatize(token) for token in tokens]

remove_punct_dict = dict((ord(punct), None) for punct in string.punctuation) 

def LemNormalize(text):     

return LemTokens(nltk.word_tokenize(text.lower().translate(remove_punct_dict)))

 

Keyword matching

Define a function for greeting by bot i.e. if user’s input is greeting, the bot shall return a greeting response.

GREETING_INPUTS = ("hello", "hi", "greetings", "sup", "what's up","hey",)

GREETING_RESPONSES = ["hi", "hey", "*nods*", "hi there", "hello", "I am glad! You are talking to me"]

def greeting(sentence):

for word in sentence.split():

if word.lower() in GREETING_INPUTS:

return random.choice(GREETING_RESPONSES)

 

Generate responses

To generate a response from our bot for input queries, the concept of document similarity is used. Therefore, we start by importing necessary modules.

From scikit learn library, import the TFidf vector to convert a collection of raw documents to a matrix of TF-IDF features

from sklearn.feature_extraction.text import TfidfVectorizer

Also, import cosine similarity module from scikit learn library

from sklearn.metrics.pairwise import cosine_similarity

This will be used to find the similarity between words entered by the user and therefore the words within the corpus. This can be the simplest possible implementation of a chatbot.

Define a function response that searches the user’s vocalization for one or more known keywords and returns one of several possible responses. If it doesn’t find the input matching any of the keywords, it returns a response: “I’m sorry! I don’t understand you”

 

def response(user_response):

robo_response=''

sent_tokens.append(user_response)

TfidfVec = TfidfVectorizer(tokenizer=LemNormalize, stop_words='english')

tfidf = TfidfVec.fit_transform(sent_tokens)

vals = cosine_similarity(tfidf[-1], tfidf)

idx=vals.argsort()[0][-2]

flat = vals.flatten()

flat.sort()

req_tfidf = flat[-2]

if(req_tfidf==0):

robo_response=robo_response+"I am sorry! I don't understand you"

return robo_response

else:  robo_response = robo_response+sent_tokens[idx]

return robo_response

 

I have tried to explain in simple steps how you can build your own chatbot using NLTK and of course it’s not an intelligent one.

I hope you guys have enjoyed reading.

Happy Learning!!!

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