As with so many open-source technologies, Node.js is a fast-moving project. Minor updates come out every few weeks to boost stability and security among all version branches.Method...Read More
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As with so many open-source technologies, Node.js is a fast-moving project. Minor updates come out every few weeks to boost stability and security among all version branches.Method...Read More
Moving websites between hosts is a big challenge for all site owners. With a WordPress site, we have to move all our plugins, themes, and the database. Once they are relocated, the...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:
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.
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:
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!
New companies and the entrepreneurial impulse are key elements of the U.S. economy, and perhaps part of the nation’s mythology in the American dream. The U.S. federal agency in 2002 counted around twenty three million companies and nearly twenty four million business “establishments” that generated, in total, nearly $23 billion in sales. That’s if they make it. In a 2006 article entitled, “The Seven Pitfalls of Business Failure,” economic expert Brian Head of the small Business Administration noted that 30% new businesses fail inside the first five years of operation. However with careful coming up with, establishing a new company is a successful and profitable undertaking.
Your company location determines the taxes, zoning laws, and regulations your company will be subject to. You will need to form a strategic decision regarding which state, city, and neighborhood you select to begin your company in. Where you locate your company depends in part on the location of your target market, business partners, and your personal preferences. In addition, you should consider the costs, benefits, and restrictions of different government agencies.
The decision to choosing the right business structure is very important because the type of business you decide on influences everything from daily operations, to taxes, to how much of your personal assets are at risk.
You can find the right business name with creativity and market research. Once you’ve picked your name, you should protect it by registering it with the right agencies.
You’ll want to decide on a business name that reflects your brand identity and doesn’t clash with the types of goods and services you provide. Once you take decision on a name you prefer, you would like to protect it. There are four different ways to register your company name. Every way of registering your name serves a special purpose, and some may be legally required depending on your business structure and location.
Each of those name registrations are legally independent. Most small businesses try to use an equivalent name for each kind of registration, but you’re not commonly required to.
Register your business to make it a distinct legal entity. How and where you need to register depends on your business structure and business location.
Your location and business structure determine how you’ll need to register your business. Verify those factors first, and registration becomes terribly easy. In some cases, you don’t need to register at all. If you conduct business as yourself using your legal name, you won’t need to register anywhere. But keep in mind, if you don’t register your business, you'll miss out on personal liability protection, legal benefits, and tax benefits.
Most businesses don't need to register with the federal government to become a legal entity, other than simply filing to get a federal tax ID. Small businesses sometimes register with the federal government for trademark protection or tax exempt status. If you would like to trademark your business, brand or product name, file with the United States Patent and Trademark office once you’ve formed your business. If you would like tax-exempt status for a noncommercial corporation, register your business as a tax-exempt entity with the IRS.
Getting an EIN number can help you identify your business entity. Most companies need this federal employee identification number to conduct business. An EIN is a nine-digit number that refers to only your business or non-profit entity. It is your business’s social security number. This number allows the IRS to identify your business and attach it to the correct business name for tax purposes. Just a unique business name is not enough.
Your employer identification number (EIN) is your federal tax ID. You need it to pay federal taxes, hire employees, open a bank account, and apply for business licenses and permits. You should do it right once you register your business. Your business desires a federal tax ID number if it does any of the following:
The need for a state tax ID number ties directly to whether your business must pay state taxes. Sometimes, you can use state tax ID numbers for other functions, like protection against identity theft for sole proprietors. Tax obligations differ at the state and local levels, so you'll need to check with your state's websites. To know whether you need a state tax ID, research and understand your state's laws regarding income taxes and employment taxes, the two most common forms of state taxes for small businesses.
Most small businesses need a combination of licenses and permits from both federal and state agencies. The requirements and charges vary based on your business activities, location, and government rules.
The licenses and permits you need from the state, county, or city will depend on your business activities and business location. Your business license fees will vary. States tend to regulate a broader range of activities than the centralized. As an example, business activities that are commonly regulated domestically include auctions, construction, and dry cleaning, farming, plumbing, restaurants, retail, and vending machines.
Some licenses and permits expire after a set period of time. Keep close track of when you need to renew them it's usually easier to renew than it has to apply for a new one. You'll have to analysis your own state, county, and city regulations. Industry requirements usually vary by state.
Open a business account once you are ready to start accepting or spending money as your business. A business bank account helps you keep legally compliant and protected. It also provides benefits to your customers and employees. Most business bank accounts provide perks that don't come with a standard personal bank account.
Business insurance coverage protects businesses from losses due to events that may occur during the normal course of business. There are many types of insurance for businesses including coverage for property damage, legal liability and employee-related risks. Companies evaluate their insurance needs based on potential risks, which can vary depending on the type of environment in which the company operates.
Business insurance protects you from the unexpected costs of running a business. Accidents, natural disasters, and lawsuits could run you out of business if you’re not protected with the right insurance.
Speak to insurance agents to find out what kinds of coverage makes sense for your business, and compare terms and prices to find the best deal for you. Here are six common kinds of business insurance types are:
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.
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 careers associated with data science are generally categorized into five.
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 su...Read More
New companies and the entrepreneurial impulse are key elements of the U.S. economy, and perhaps part of the nation’s mythology in the American dream. The U.S. federal agency in 200...Read More
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...Read More
I am a certified Data Scientist. I worked on projects related to Logistic and linear regression, Decision tree...
Business Analyst with 6 Years industry experience, Expertise in creating appealing Tableau stories for users.
i have received the certificate from the in python from internshala . My works are in github.com Kindly hav...
Hi I have experience in 1. Data Extraction from Excel 2. Data Visualization 3. Data Analysis Previous Pr...