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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!

The global demand for data Science professionals is extremely high because of increasing relevance across various sectors. Data Science has become the most-sought skill because the data is piling along with a surge in different tech fields like Artificial Intelligence, machine learning and data Analytics. Hiring data scientist is being carried across numerous domains like e-commerce, education, retail, telecommunication and much more.

 

In the past years, analysts used excel tools to analyze data. Things are changing now! In this modern world, data-driven decision making is sparkling and technology is advanced in the data industry. The tools and technologies that modern Data Scientists employ are a combination of statistical and Machine Learning algorithms. They are used to discover patterns using predictive models. The future of Data Science is bright and the options for its implementation are extensive.

 

Data Scientists must consistently evolve at the edge of innovation and creativity. They must be aware of the types of models they create. These innovations will allow them to spend time discovering new things that may be of value. Subsequently, the advances in Data Science tools will help leverage existing Data Science talent to a greater extent.

 

So what does a Data Scientist do?

Data Scientists influence a pile of data in an innovative way to discover valuable trends and insights. This approach helps to identify opportunities by implementing research and management tools to optimize business processes by reducing the risks. Data Scientists are also responsible for designing and implementing processes for data mining, research and modeling purposes.

 

Data scientist performs research and analyses data and help companies flourish by predicting growth, trends and business insights based on a large amount of data. Basically, data scientists are massive data wranglers. They take a vast data and use their skills in mathematics, statistics and programming to scrub and organize the information. All their analysis combined with industrial knowledge helps to uncover hidden solutions to business challenges.

 

Generally, a data scientist needs to know what could be the output of the big data he/she is analyzing. He/she also needs to have a clearly defined plan on how the output can be achieved with the available resources and time. Most of all the data scientists must know the reason behind his attempt to analyze the big data.

 

To achieve all of the above, a data scientist may be required to:

 

Every organization has unique data problems with its own complexities. Solving different Data Science problems requires different skill sets. Data Science teams are groups of professionals with varied skill sets. They, as a team, solve some of the hardest data problems an organization might face. Each member contributes distinctive skill set required to complete a Data Science project from start to finish.

 

The Career Opportunities:

The careers associated with data science are generally categorized into five.

 

  1. Statisticians: Statisticians work usually for national governments, marketing research firms and research institutes. Extracting information from massive databases through numerous statistical procedures is what they do.
  2. Data Analyst: Telecommunication companies, manufacturing companies, financial companies etc. hire data scientists to analyze their data. A data analyst keeps track of various factors affecting company operation and make visual graphics.
  3. Big Data and Data Mining Engineer: Tech companies, retail companies and recreation companies use data scientists as data mining engineers. They have to gather and analyze huge amounts of data, typically from unstructured information.
  4. Business Intelligence Reporting Professional: They work for tech companies, financial companies, and consulting companies etc. Market research is the primary objective of this job. They also generate various reports from the structured data to improve the business.
  5. Project Manager: A project manager evaluates data and insights fetched from the operational departments and influences the business decisions. They have to plan the work and make sure everything goes in accordance with the plan.

Something about Website Design

Every satisfied customer on every website starts in the hands of a experienced web designer. This professional has the ability to capture the client’s vision, bring the design elements to life, and ultimately create a website that appeals to consumers. This is not easy task since it involves both creative and technical abilities, so a top web designer is experienced in many different disciplines. 

Likewise, an in-demand website designer will also have insights into the business and marketing worlds to understand how a website can meet a client’s needs, convey their brand, and help embrace new customers online. This knowledge is used to maximize things like lead generation and overall engagement levels.

 

Web Design vs. Web Development In A Nutshell

In essence, web design refers to both the aesthetic portion of the website and it’s usability. Web designers use various design programs such as Adobe Photoshop to create the layout and other visual elements of the website. Web Developers on the other hand, take a website design and actually make a functioning website from it. Web developers use HTML, CSS, Javascript, PHP and other programming languages to bring to life the design files. 

 

Web Design – A Closer Look

Web designers must always begin by considering a client’s website objectives and then move on to an Information Architecture (IA) to set a website’s information hierarchy and help guide the design process. Next, web designers can start creating wireframes and finally move to the design stage. Web designers may use several basic design principles to achieve an aesthetically pleasing layout which also offers excellent user experience.

 

The Perfect Job Description to Find & Hire a Web Designer

 

Design Principles

Balance – It’s important for web designers to create a balanced layout. In web design we refer to heavy (large and dark colors) and light (small and lighter colors) elements. Using the correct proportion of each is critical to achieving a balanced website design.

 

Contrast– In color theory, contrasting colors are ones placed opposite one another on the color wheel (see also complementary colors). Web design offers a few other areas where contrast is applicable. Designers look at contrasting sizes, textures and shapes to define and draw attention to certain sections of the website.

 

Emphasis– We touched on this a bit when discussing contrast. Emphasis is a design principles founded in the intentional “highlighting” of certain important elements of the website layout. It’s important to note that if you emphasize everything on the page you end up emphasizing nothing. Imagine a page in a book where 80% of the content is highlighted in yellow…does anything really stand out? This is the time to take a look at that Information Architecture for direction.

 

Consistency – Also called repetition or rhythm, consistency is a critical web design principle. For example, clean and consistent navigation provides the best user experience for your website visitors.

 

Unity – Unity is the relationship between the various parts of the website layout and the composition as a whole. Based in the Gestalt theory, unity deals with how the human brain visually organizes information by grouping elements into categories.

 

 

Web Development – A Closer Look

Web developers, sometimes called programmers, take the design created and build a fully functioning website. To put it (very) simply, think of the design as a non-interactive “picture” of a website. Developers take that design and break it up into it’s components. They then either use just HTML or a more dynamic approach incorporating programming languages such as PHP to develop the various website pages. More advanced web developers may choose to utilize a Content Management System (CMS) like WordPress or Joomla in order to streamline development and allow clients an easy way to maintain and update their website.

Web developers may convert a static layout into a dynamic website by using image and content sliders, active states for links and buttons, and other interactive elements.

 

Defining your project and writing a perfect job description

It pays to do a little bit of homework before hiring a web designer since it can have a drastic effect on the overall price and the quality received. For example, a simple website without any large customizations can be launched with a pre-made theme at a minimal cost. This may not be suitable for websites anticipating lots of custom layouts and/or extensive traffic, so it’s good to know up front what type of designer will be required or if you’ll also need a developer.

 

Web Design Job Post Template

Take a look at an example web design project description. Keep in mind that many people use the term “job description,” but a full job description is only needed for employees. When attracting a freelancer as an independent contractor, you typically just need a requirement of work, job post, or any other document that describes the work to be done.

<Project Title>

Project Overview

ABC Company is looking for a web designer to create a custom theme for our e-commerce store. This project will be to create a responsive, mobile-friendly design.

Deliverables include:

Mock-ups for each page of e-commerce site (approximately 20 pages)

Custom navigation and HTML elements

Graphics integrated into two homepage carousels (12 images total)

Setup of online shopping basket

 

Deadline for deliverables:

All tasks must be completed by <date>.

 

This project requires the following skills:

Expertise working with <design software>, <mobile/responsive framework>, <Adobe Photoshop>, or <CMS template builder>

E-commerce experience is a plus

Understands responsive design

 

The work will also require a great view for detail and preliminary retail experience, preferably in the electronics/automation industry. We would like to begin this project no later than <date>, so we plan on hiring a candidate by the end of the week.

 

Analyzing Web Designer Profiles & Portfolios and Hiring Freelancer

After posting a detailed, well-thought-out project description that defines what you’ll need from your web designer, it’s time to start analyzing proposals. How do you select the top talented designer for your project?

 

Experience, Smartness & Work

When it comes to finding the top talented web designer, start by reviewing for portfolio samples that match your requirement. Be sure to ask freelancers about their experience with other facets of design as well, and consider the overall goal for the website being built. 

Finally, it’s important to verify that a web designer understands the brand in question and its overall goals online. A qualified professional will be able to give a list of any expected obstacles, plus estimate the amount of time the project will take and the total cost. Since complex website projects could require months to complete, a good working relationship is essential.

With the right freelance web designer, you can end up with a finished product that brings your vision to life. Just take the time to create a detailed project description, review each freelancer’s proposal and portfolio, and ask them a few web design interview questions to determine if they’re the right fit for the project.

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