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Top 34 Small Specialists on 25 May 2019 on Toogit. Small Specialists on Toogit are highly skilled and talented. Hiring Small Specialists on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Small Specialists on Toogit. Hiring Small Specialists on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.

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Aviral AgarwalSoftware Engineer, India
$20 /hr
4 Years Exp.
0 Followers
I am highly proficient coder who has had a chance to work on a variety of technologies throughout my career. I pride myself on delivering projects wit...Read More
Krishna Agrawal Technical Architect, India
$30 /hr
6 Years Exp.
0 Followers
I have worked in various programming languages and technologies like python, core java, c++, Django, android etc. In my current company, I work on...Read More
Madhu Java & Scala developer, Belgium
$10 /hr
10 Years Exp.
0 Followers
I'm certified Java developer and having a deep knowledge in scala programming. Open complex projects. Able to setup , config & execute projec...Read More
Datalamp TechnologiesBig Data Company, India
$20 /hr
4 Years Exp.
0 Followers
DataLamp A Big Data company, works on data-pipeline & visualization solutions. Expertise- Java: Core, Collection, Swing, Reflection, Thread...Read More
Soufiane MaguerraBig Date Expert, Morocco
$30 /hr
0 Years Exp.
0 Followers
I am a Ph. D Computer Science student, about to finish my thesis, looking for opportunities in the Big Data field and Scala programming so that I can...Read More
Rajat PancholiBig Data Developer, India
$6 /hr
3 Years Exp.
0 Followers
I have 3 years of experience in the field of Big Data Hadoop and Spark. I have worked on the below tools and technologies like Hive, pig, Oozie, Sqoop...Read More
Gururaj GmSenior software engineer, India
$3 /hr
5 Years Exp.
0 Followers
Working as hadoop developer
Charmy Software Consultant, India
$10 /hr
2 Years Exp.
0 Followers
I'm a Software Consultant with 2 years of experience in Big Data related Technology. I'm willing to explore more in Functional Programming S...Read More
Ramkumar Web developer, India
$10 /hr
4 Years Exp.
0 Followers
Ramkumar N. Ramkumar N. Chennai, India 5:10 pm local time Web developer I am a full stack developer and hold a Bachelor Degree in Engineering....Read More
Basant JainSenior Software Engineer, India
$20 /hr
5 Years Exp.
0 Followers
I am a certified Big Data developer having more than 5 years of experience
Arbind Kumar Quality Analyst, India
$15 /hr
3 Years Exp.
0 Followers
I am working as a Quality Analyst in Huawei Telecommunication. I am using hive, spark , scala and Power BI tool to analyse data and extract meaningful...Read More
Samy NathanBigData Engineer, India
$0 /hr
3 Years Exp.
0 Followers
I have 3+ Years of Experience and Knowledge in development of Hadoop BigData, Spark,Kafka and Semantic Web applications using Open Source Big Data tec...Read More
Balakrishna JanamalaBigdata Developer, India
$11 /hr
1 Years Exp.
0 Followers
I have 1.6 years of experience in Bigdata Development. I had done two POC, most of the time I have analysed varies kinds of data with different storag...Read More
Jyoti PatidarSolution Architect, India
$20 /hr
12 Years Exp.
0 Followers
I'm a AWS certified Solution Architect working on bigdata space. I have 12+ years of experience in Application Development and Maintenance. Out...Read More
Abhishek AgrawalDeveloper, India
$12 /hr
3 Years Exp.
0 Followers
I'm a web developer with 4 years of experience
Harhsit JainSenior Software Engineer, India
$15 /hr
6 Years Exp.
0 Followers
Spark | Scala | Hadoop | HBase | Tableau | NodeJS | Apigee Edge | Spring Boot | Core Java | MONGODB Developing various reference architectures and ut...Read More
Saket PuranikFull stack developer, India
$40 /hr
8 Years Exp.
0 Followers
I am an experienced full stack developer having more than 8 years of experience in Java,JVM and JavaScript world. I have worked for many banking clien...Read More
Kundan Data Analysis, India
$2 /hr
0 Years Exp.
0 Followers
i have done certified course in big data hadoop, spark and scala from radical technologies. i have done certified course in web development in php an...Read More
Suraj Big Data Developer, India
$25 /hr
7 Years Exp.
0 Followers
Hello We are group of freelancers working collaboratively on Machine Learning, Big Data, Hadoop and Deep Learning. With more than 7 years of working...Read More
Deepa DileepData engineer , India
$56 /hr
12 Years Exp.
0 Followers
I am certified hadoop developer with over 12+ years of experience. Current working as senior data engineer with technologies spark, scala, hbase a...Read More
Shrikant Software Developer, India
$20 /hr
5 Years Exp.
0 Followers
A passionate and enthusiastic software developer, eager and flexible in adapting new technologies. A Computer Science Graduate from State University...Read More
Sahil ChutaniData Engineer, India
$25 /hr
3 Years Exp.
0 Followers
I am a professional data engineer backed by 3+ years of industry experience in building scalable and stable production ready products.
Gaurav ChaudharyDevOps Consultant, India
$20 /hr
8 Years Exp.
0 Followers
A Full Stack Developer/ DevOps Engineer with over 7+ years of experience in the full software development lifecycle from concept through delivery of n...Read More
Sachin Tiwari-jaaneBigData Analyst, India
$10 /hr
5 Years Exp.
0 Followers
I am senior Big Data Analyst having 10+ years pf experience in data Analytics , machine learning, predictive modelling, data Visulization etc. I have...Read More
Hi! I'm a Software Consultant with around 7 years of experience in managing software development teams. After graduating, in earlier days of m...Read More
Lokesh YadavBig Data Developer, India
$20 /hr
3 Years Exp.
0 Followers
I have 3 years of experience working in the field of Big Data development with expertise on Apache Spark, Hive, and Hadoop. I have worked with a growi...Read More
Dunhill DimaapiWeb Developer/ Software Developer, Philippines
$3 /hr
0 Years Exp.
0 Followers
I am a certified Web Developer with 1 year experience. I developed an e-commerce website and sample facebook website. I used Bootstrap and JQuery for...Read More
Srikanth SrungarapuBig Data Consultant, India
$34 /hr
5 Years Exp.
0 Followers
Held positions in engineering vertical of prestigious organizations like Cloudera, Google, Yahoo etc. An avid contributor to open source software. Was...Read More
Ghazi TrikiCEO & Software Solutions Architect, Tunisia
$33 /hr
0 Years Exp.
0 Followers
Experienced Chief Executive Officer with a demonstrated history of working in the information technology and services industry. Skilled in Software En...Read More
Sumit KumarBackend Developer, India
$20 /hr
1 Years Exp.
0 Followers
I have an experience of 3.2 years in Big Data stack. From the last 1.8 years i am working on ELK Stack. Involved in consulting startups for ELK stack...Read More
Amit SangwanProduct Engineer, India
$5 /hr
1 Years Exp.
0 Followers
Till Now worked on three projects 1.Unmail-An Enterprise Social Network Responsible for designing front-end web pages and for making that website m...Read More
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Popular How-To's in Small category


 
How to create a solver in python
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Python scipy provides a good number of optimizers/solvers. You can use these optimizers to solve various non-linear and linear equations. However, sometimes things might get tricky...

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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!

Nowadays, Android is not just on tens of thousands of different phones and tablets. It’s on your wrist, in your living room, in your car, and as soon we start assigning IP addresses to inanimate objects, it is going to be pretty much everywhere around us. A lot of ground for even an experienced Android developer to cover!

 

Also there are over one million apps on Google Play, not counting Amazon AppStore or markets we are not generally interested in.

 

So, how can an independent developer create a successful app in this huge market with big players? I have no idea, I haven’t made a successful app! But, I have made a cute one, and I’d like to share my story with you.

Few Android Studio Tips, Tricks & Resources you should be familiar with, as an Android Developer

The reason of this article, is to list helpful tips, tricks, shortcuts and resources for Android Studio that will improve your overall efficiency and performance.

 

1.Material Colors theme for Android Logcat

To change Android Studio Logcat you need to go to:Preferences (Settings on Windows / Linux machines) → Editor → Colors & Fonts → Android Logcat and change the foreground color for every type of log.

 

2. Prevent Android Studio Logcat from clearing the log for the current application when it crashes. 

To do that you need to go to theAndroid Monitorpanel and chooseEdit filter configurationon the right side dropdown.

 

3. Apply a proper code style to your IDE (IntelliJ / Android Studio). 

Go toPreferences → Code Style → Javaand in aSchemedropdown you can choose your code style (or set up a new one).

2 styles which are especially worth to mention:

Square Java Code Styles with Android

Google Java Code Style.

 

4. Use split screen for increasing efficiency.

To turn this feature on, you need to right mouse click on the tab of your main screen and choose Split Vertically / Horizontally feature.

But to be as efficient as possible we need to set up a custom keyboard’s shortcut. To do that go to Preferences → Keymap and search for Split Vertically. Then open a context menu and click Add Keyboard Shortcut

It is shown on a gif below. You can define the shortcut for a horizontal split view as well.

 

5. Distraction Free Mode. 

You can enable it by going to: View → Enter Distraction Free Mode

 

6. Use Live Templates

you can use many already defined templates, like for Toasts or if conditions.

you can use your own custom templates. Here is a great reference article by Reto Meier. You can also refer to the IntelliJ IDEA documentation.

 

Learn XML And Java

Extensible markup language (XML) is a markup language that’s the foundation for the Android user interface (UI) and elements. Java is the back-end coding language of the Android platform, and it’s used with binding functionality with your XML layouts. Let’s take a look at a small example.

 

<?xml version="1.0" encoding="utf-8"?> <layout xmlns:android=http://schemas.android.com/apk/res/android"> <data> <variable name="user" type="com.example.User"/> </data> <LinearLayout android:orientation="vertical" android:layout_width="match_parent" android:layout_height="match_parent"> <TextView android:layout_width="wrap_content" android:layout_height="wrap_content" android:text="@{user.firstName}"/> <TextView android:layout_width="wrap_content" android:layout_height="wrap_content" android:text="@{user.lastName}"/> </LinearLayout> </layout>

 

This small layout has one data object defined as “User.” For developers used to binding elements in even web design, this should be intuitive for you. The data element is defined in Java, and then the object data is bound to the front-end layout element. In this example, we have a first and last name. The following Java code is an example of a User class used for the binding.

 

public class User { public final String firstName; public final String lastName; public User (String firstName, String lastName){ this.firstName = firstName; this.lastName = lastName; } }

Notice that the constructor takes a first and last name variable and binds the data to the public class properties. When the screen opens on the device, this data is then bound to the front-end elements.

 

Before you get started in Android Application development, you should be expert in both of these technologies. Understanding the fundamentals of XML formats is relatively easy, but Java is an object-oriented language and object-oriented programming (OOP) can be challenging if you’re not familiar with the concept. A newer language and framework, Kotlin, has been introduced to help advance Android app development. It can also be used with legacy Java apps as Kotlin co-operates with Java code.

 

The best way to learn Java is to dive into someone else’s code. GitHub is filled with open-source projects that help you understand Java and OOP concepts. The better your OOP skills are, the easier it will be to create a better coded, less buggy Android app.

 

Understand Memory Limitations

Mobile devices don’t have the high memory limitations that desktops have. In mobile programming, you must learn to code with smaller memory limitations in mind. If you carelessly use memory on an Android device, you run the risk of your app crashing due to “out of memory” errors.

To work around this, use services on the device sparingly and release memory resources when your app is hidden. You can release memory resources by overriding the onTrimMemory event although you should know that this isn’t a magic solution that allows you to ignore other performance optimization throughout your code. The following is a small sample of pseudocode that shows you how to override the event.

@Override public void onTrimMemory(int level) { if (level >= TRIM_MEMORY_MODERATE) {

//release resources here } }

Google also recommends that you avoid or at least reduce the use of bitmaps to lower the memory use when your app is running on the device. 

 

Don’t Use The Emulator For Real-World Testing

The Emulator in Android Studio is good for development and even debugging, but it doesn’t fully simulate a working Android device. You can consider basic environment features with the Emulator, but when it comes to testing, you should always use actual devices.

Of course, this is a huge investment for an Android developer, but it will make the entire development and testing life cycle much more efficient. It also ensures that you’re able to test your applications in various conditions as the user changes settings on the actual device. You can, however, use automated cloud solutions such as Amazon’s Testing platform.

 

Testing should never be taken lightly. It should be a major part when you design and deploy apps for your clients. Fewer bugs means happier users, and it can also mean a more successful app in Google Play. This doesn’t mean that you need to buy every device on the market to test your app on, but you should account for some of the more popular ones and the most common screen sizes.

Welcome to Python programming world! We presume you are trying to find information concerning why and how to get started with Python. Fortunately, an experienced coder in any programing language (whatever it's going to be) will pick up Python very quickly. It is also easy for beginners to learn and use.

 

Why you should learn Python

Python is one of the most popular general-purpose programming languages used for both large and small-scale applications. With Python, you can discover how to bridge web development and data analytics. Python’s widespread adoption is due to its large standard library, easy readability, and support of multiple paradigms such as functional, procedural and object-oriented programming styles. Python modules interact with a variety of databases, making it an excellent choice for large-scale data analysis. The Python programming language is often the best choice for introductory courses in data science and machine learning. If you've been wondering how to learn python online to advance your career, you've come to the right destination.

 

A popular Python slogan “life is happier without braces”.

 

Install Python

Installing Python is generally easy, and today several Linux and UNIX system distributions include a recent Python. Even some Windows computers currently go along with Python already installed. If you do need to install Python download from Python official website.

 

Learning Python

Before getting started, you may want to find out which IDEs and text editor are best, IDE usually has plenty of useful features such as autocomplete, debugger and refactoring tools. Some will even check your Python code for little mistakes and encourage best practices through warnings. IDE will help you to find bugs and develop code faster. Learn basics of Python programming and syntax from online Python tutorials.

 

What you need to learn

  1. Python Syntax
  2. String and Console output
  3. Conditionals and control flow
  4. Function
  5. List and Dictionaries
  6. Loops and array
  7. Classes
  8. File input and output
  9. Advanced topic in python

 

Here are some tips to help you make the new concepts you are learning as a beginner programmer:

  1. Code Everyday: Consistency is very important when you are learning a new language. We recommend making a commitment to code every day.
  2. Write it out: As you progress on your journey as a new programmer, you may wonder if you should be taking notes. This will be especially beneficial for those working towards the goal of becoming a full-time developer, as many interviews will involve writing code on a whiteboard.
  3. Go Interactive: Whether you are learning about basic Python data structures (strings, lists, dictionaries, etc.) for the first time, or you are debugging an application, the interactive Python shell will be one of your best learning tools.
  4. Become bug hunter: Once you begin writing complicated programs that you just can run into bugs in your code. It happens to all or any of us! Don’t let bugs frustrate you. Instead, embrace these moments proudly and consider yourself as a bug bounty hunter.
  5. Surround yourself with others: It is extremely important when you are learning to code in Python that you simply surround yourself with others who are learning additionally. This may allow you to share the information and tricks you learn on the approach.
  6. Teach: It is said that the most effective way to learn something is to teach it. This is often true once you are learning Python. There are many ways to try to do this: white boarding with other Python lovers, writing blog posts explaining recently learned ideas, recording videos during which you explain something you learned, or simply talking to yourself at your computer.
  7. Pair program: Pair programming is a technique that involves two developers working to complete a task. The two developers switch between them. One developer writes the code, while other helps guide the problem solving and reviews the code as it is written. Switch frequently to get the benefit of both sides.
  8. Build something: For beginners, there are many small exercises that will really help you become confident with Python.

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