Everything You Need to Know About Python – Why This Language is Loved by Fortune 50 Companies

Let’s take an in-depth exploration into the world of programming and focus on one particular coding language that is taking the universe by storm and kicking all other languages out of the way. It is Python and a game-changing language that shines bright – as developers love Python for its simple language, easy to write code, user-friendly data structures.

Python is the language of choice and most popular among programmers, data scientists, and developers. Its code is written in plain English and completely readable – a source code that is executed line by line to help programmers write clear, logical code. How awesome is that? Python at its core is a revolutionary language that has its own Python Software Foundation and its mission to promote, protect and advance the Python programming language. The foundation is a non-profit membership organization to support and facilitate growth and knowledge among the diverse and international support community.

Python can be coded to distinguish between colors and recognize faces using the Internet of Things – and (IoT) is one of the most important trends happening at the moment. A bonus of using these powerful technologies together has endless real-life possibilities and it’s a match made in heaven. Python has flexible memory management and perfect for IoT devices, which helps to steer clear of security problems.

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Big Data and Python work beautifully together for deeply understanding social media data since Python maintains images, text messages, and voices. It is the best choice for data analysis and answering the toughest problems in business and in life. Supports prototyping where electronics design, technology, product, and project are all interconnected due to a wide set of data processing libraries.

We live in a data-driven world with data science and machine learning moving at a rapid speed, from exploring the classification of flowers to solving NASA’s biggest mysteries – and this is why programmers fall in love with Python and are jumping on the bandwagon to be part of data exploration.

Python differentiates itself from other languages by having built-in object types from user-defined classes with fewer lines needed for coding. It is everyone’s favorite programming language – Python believes “Simplicity is best”.

Outstanding features: Programmer-friendly, freely available and open-source software with an expressive language and a large standard library. Upholds procedure-oriented and object-oriented programming and helps programmers focus on the solution rather than the syntax.

Many have described Python as an elegant, versatile and hottest language on the market with a syntax that is designed to be comprehensible, uncompleted and coding can be picked up quickly by new developers, data scientists, and programmers.

Why Choose Python

  • Code reuse, recycle and easy code maintenance.
  • Simple, easy to learn mainstream syntax.
  • Code simplicity and functional – code is clean, neat and understandable.
  • Tackling complexity programs with ease and building professional-quality software quickly.
  • Reduced time in coding – dynamic typing and binding.
  • Everything in Python is an object and a language that is flexible and adaptable.
  • Runs on every major operating system and platform.

It is an amazing programming language designed and built-in 1989 by Guido Van Rossum and it excels above all other programming languages. There are more than 700 current programming languages in existence and more are created every day, and still, Python is loved above all others – that is an impressive language.

Rossum is one of the world’s most influential programmers and the lead developer in the creation of Python. A well-liked language that uses dynamic typing that is widely used among the elite, top leading companies in the world from CERN to NASA. Any company using Artificial Intelligence in its products is using Python for its rich collection of libraries, tools, and frameworks and can add programmable interfaces to existing applications.

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Nearshore IT Services

From ongoing staffing needs to a rich, 24/7 onsite/nearshore model, our Data Science premium support teams are tailored specifically to meet your needs. Hire an IT resource that’s relatively within the same time zone, cost-effective and easier to access than most offshore services.

Since we’re highly proficient Data Mining and Big Data specialists, our Nearshore team can extract the critical knowledge and insights you need from your structured and unstructured data.

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What Makes Python Different than Other Languages

  • Uses significant whitespace, less-cluttered syntax, and grammar plus simplifies business processes.
  • Python development from beginning to end is much quicker than other languages.
  • Increased productivity, speed and shines as a glue language.
  • Intuitive programming and a key player in data analytics manipulation and machine learning.
  • Easy Debugging – The Edit-test debug cycle is incredibly fast.
  • Less time to develop programs and noted by Python developers that are actually fun to use.
  • Object-oriented programming style and formatting are visually pleasing and uncluttered.
  • Programmers write readable code and the program’s visual structure coincides accurately with semantic structure.
  • Python stores both standard modules and user modules in individual files. It allows for rearranging and distributing outside the system with ease.
  • Python code is typically 3-5 times shorter than Java code and 5-10 times shorter than the C++ code.

Whether a beginner or seasoned data scientist, programmer or developers all share the benefits of Python and enjoy this language for its clean style coding, readability and learning factor. Developers prefer this language over the hundreds that are available in the market, due to the straightforwardness, efficiency, and understandability of simple coding and ease of writing.

Python Machine Learning Projects Worth Knowing

Parkinson’s Disease: Can detect Parkinson’s disease by building a model to properly identify the presence of the disease in an individual. XGBoost is an open-source library and boosting ensemble algorithm that provides high-performance execution of gradient boosted problem-solving computer program of the logical sequence of steps to solve a dilemma by predicting the presence of Parkinson’s disease.

Social Media: Master the mining of data on Facebook, Twitter, Instagram and YouTube using the Sentiment Analyzer to understand consumer behavior and client insights. Turn raw, real-time data into actionable results – efficiently and conveniently analyze social data and comprehend the social chatter.

Utilize one-step solutions to fetch and visualize the data and apply text analytics techniques to explore new statistical data. Interact in more powerful ways on social platforms and develop data mining tools to unlock consumer profiles.

More Machine Learning Projects

  • Age and Gender Detection
  • Stock Price Predictor
  • Color Detection
  • Identify Profitable Product Bundles
  • Sales Prediction
  • Wine Quality
  • Forecasting Sales

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We are committed to providing the highest level of capability and service. Since we’re highly proficient Data Mining and Big Data specialists, we can extract the critical knowledge and insights you need from your structured and unstructured data. Hire a nearshore IT resource that’s relatively within the same time zone, cost-effective and easier to access than most offshore services.

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Games Built Using Major Python Coding

  • Sid Meier’s Civilization IV
  • Battlefield 2
  • The Sims 4
  • Freedom Force
  • World of Tanks
  • Disney’s Toontown
  • Disney’s Pirates of the Caribbean Online

Top Applications for Python

  • Language Development
  • Operating Systems
  • Prototyping
  • Web Frameworks
  • Enterprise

Two Major Python Versions

  • Python 2 – Created for the easier code development process.
  • Python 3 – Syntax is simpler and easy to understand and has default storage of strings, and the value of variables never changes.

Python is a cross-platform, portable language – good for desktop applications, building websites, incorporates good visualizations and used for 2D game programming, scientific and graphical user interface applications. These are just some of the reasons for its attractiveness among the computer science industry and deeply liked by developers, data scientists, and programmers.

Python is known for its easy integration with other programming languages that would normally not work together. Allows for scalability, offers large sets of frameworks and can be used for complicated scenarios.

Python Stats and Fun Facts

  • To date, 113,882 companies use Python
  • 48, 386 number of US companies have Python
  • More than 43% of Python customers are in the US
  • Python is the first most wanted programming language
  • Was the most in-demand technologies of 2018 and 2019
  • Python is the world’s 4th most popular programming language
  • Top 3 industries using Python: Computer Software, IT and Services, Hospitals and Health Care

There are 700+ remarkable programming languages in existence today and Python is the preferred language. Python is designed for single-threaded code that can solve complex problems easily. Python uses simple words like and, or, not for its boolean operators instead of symbolic &&, !, or II which is utilized by C or Java.

Python is really for high-performance computing and contexts that have made the biggest impact in the computer science and engineering industry as the #1 product by market share in the languages category.

Languages Developers enjoy Pythons for:

  1. Adding Machine Learning into existing applications
  2. Game Development
  3. Web Application
  4. Artificial Intelligence
  5. High-Performance Qualities
  6. Descriptive Statistics
  7. Extensive Top Libraries – clear, logical and understandable
    • TensorFlow, Scikit-Learn, Numpy
    • Theano, SciPy, Keras, PyTorch
    • LighGBM, and Ei5
  1. Can process an assortment of problems

Top 4 Most In-Demand Programming Languages

  1. Python
  2. Java
  3. Javascript
  4. C#

Christian Howard, Ph.D. Computer Science at the University of Illinois at Urbana Champaign explains Python simply like this:

  • “Python may not be fast, but if you use the right packages or wrap a faster codebase with Python – you can be quite productive using Python in an HPC setting. “
  • “Won’t do the heavy lifting, but your tool is easier to use, more mainstream, and will allow you to do a little bit of scripting to solve problems much more easily with your back-end codebase!”

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In computer science, there are four major programming languages

    1. Scripting
    2. Object-Oriented
    3. Functional
    4. Procedural

Python is a language that is widely used in hedge fund industries, investment banking and fintech for risk management platforms, trade management and to solve real-world problems with quantitative reasoning. A clear and powerful object-oriented programming language that is comparable to Scheme or Java and writing code is not difficult.

There is talk in the tech industry that Python is slow; the cause can be directly related to your code and chances are the code uses the wrong data structures and algorithms to address a given problem.

Python is an Object-Oriented (OO) language-users find it easy to play along with (OO) concepts.

  • Used for developing desktop graphical user interface applications that allow users to interact with electronic devices through graphical icons and an audio indicator such as text navigation and command labels.

Python Focus Highlights

  • Runs anywhere from MAC OS X, Windows, Linux and Unix with no cost to download or use Python.
  • Users can freely modify and redistribute due to an open-source license.
  • Interactive mode allows ease of use when testing short snippets of code.
  • Python can be embedded in an application to provide a programmable interface.
  • One awesome feature is that Python connects and bridges software that was not originally meant to work directly with each other.
  • Huge standard library for supporting common programming tasks such as high usage apps, web servers, searching text with regular expressions, modifying and reading files.
  • Variety of basic data types – numbers (floating point, complex, and unlimited length long integers), string (both Unicode and ASCII) and dictionaries.

Advantages of Python: Minimal setup and with so many libraries and has a simple syntax that can help users solve complex problems fast and effortlessly.

Super easy to code, even a user with zero experience can pick up Python and learn quickly. Python is free and open to everyone and you can get started quickly – uses a well-designed syntax, making the developers write faster and in less time.

Python Programming tasks intended for

  • data science
  • numerical analysis
  • image manipulation
  • Internet of Things
  • graphic user interface

Industries where Python is Mostly Used

  • Mechanical Engineering
  • Electrical Engineering
  • Research and Development
  • Finance: Contributes to data mining in identifying cross-sell opportunities.
  • Aerospace: Aids in meeting software system deadlines.
  • Retail Banking: Flexible manipulation and data transformation.
  • Hardware: Assists in automating network administration.
  • Healthcare: Helping to predict and anticipate disease prognosis.
  • Insurance: For exploration and creation of business insights with machine learning.
  • InfoTech and Software: Adding extensibility to legacy systems and IT modernization.

Common and Real-World Python Applications

  • Games
  • 3D Graphics
  • Business Platforms – used to build ERP and Ecommerce systems
  • Voice Recognition
  • Face Recognition
  • App Development
  • Recommendation Systems (Netflix, Google, YouTube, and Amazon)
  • Software Development
  • Education
  • Web and Internet Development
  • Network Programming
  • Database Access
  • In Engineering it helps in troubleshooting integrated systems
  • For vibrations and dynamic motion, simulation, and modeling
  • Automobile industry and helps to automate tasks

Python is a great choice for beginners since it is easy to use, versatile and features high-level data structures, binding, dynamic typing, and rapid application development.

Top Tier Software Companies –Among Many Other Organizations That Use Python to Build Their Websites

  1. Yahoo Maps – Map Lookup and Addresses
  2. Facebook – Social Media
  3. Google – Searching Capabilities
  4. Dropbox – File Hosting Provider
  5. Quora – User Generated Content Site
  6. YouTube – Video Sharing
  7. Spotify – Music Streaming
  8. Netflix – Media Service Provider
  9. Instagram – Photo-Sharing App
  10. Wikipedia – Multilingual Online Encyclopedia
  11. CERN – World’s Largest Nuclear Research European Organization
  12. NASA – U.S. Government Agency for Science and Technology

Python is the top programming language – very popular among the Fortune 50. Big companies use Python for their products and services.

  • Microsoft
  • IBM
  • Mozilla
  • Amazon
  • Nokia
  • Walt Disney: Uses Python for a scripting language for animation and all the astonishing and delightful Disney does has Python working behind the screen to make all the magic happen.
  • Expedia
  • Reddit
  • MIT

Python is used by high powered companies that built famous websites from…

  • Uber
  • Netflix
  • Spotify
  • Pinterest
  • Google
  • Instagram
  • American Express
  • Reddit
  • Quora
  • Instacart
  • Wikipedia – It’s the first website and company Van Rossum developed and where he worked.

Python At a Glance

  • Python is scientific and numeric computing, machine learning (ML), loT and provides a sizeable standard library for automatically managing memory.
  • Enables the development of web services with uncomplicated coding for small and large applications, Utilized by many application domains with an emphasis on code reusability and ability to use white space efficiently.
  • Python is the smartest programming language that makes it possible for robotics, browser automation, enhanced functionality and even allows a user to focus on the core functionality of the application by managing common programming tasks.

The Takeaway

Python is so successful and is the most loved language by a Hired survey that was March 9, 2019, and the language of choice for data scientists and the second most commonly used programming language in the United States.

  1. Easier to learn with very easy to write code with robust community support.
  2. Readable, portable and object-oriented.
  3. The syntax is intuitive that can be organized, coordinated and you can pull together high-performance pieces for code that can efficiently solve very specific problems.
  4. The beauty of Python programming is the unfussy, minimalism and straightforwardness in the process of forming lists out of structures or other lists, list comprehension to construct a table of elements and the cleanness of one-liner coding.
  5. Python can be used for anything and lets developers can integrate systems more effectively and helps users to work more proficiently and quickly.

Max Fischer, a Python developer for data science and frameworks said it best

  • “Python3 is just more fun. If you write for so many versions, you realize just how much unnecessary, outdated things there are in the old versions.”
  • “Python3 does it better for data structures and asynchronous algorithms, low levels things like handling binary data and strings, and frameworks, meta-programming and collaboration. “

What You Need to Know About Python

  • For a new software developer to learn Python and all the fundamentals of Python, it takes 2 months to learn the basics algorithms and concepts like variables, conditions, frameworks and solving simple problems.
  • Python is not suitable for system-level programming and where speed is a top priority.
  • Getting familiar with data structures and understanding the basics of Python libraries and know how to do automated continuous compilation and testing.
  • Engineers utilize Python for quick building of prototypes.
  • Data scientists use the Python Data Analysis Library for importing data from Excel spreadsheets to processing sets for time-series analysis.

Python is used for data analysis and develops can build ERP, e-commerce systems and business applications. New programmers should familiarize themselves with PEP code style rules.

When Python was first released 25 years ago it was groundbreaking due to its notable use of significant whitespace. Writing code simplicity and elegant to look at than other written languages, ease of use and easy learning methodology.

  • Engineers love Python for it’s easy to read and learn code with improved productivity, embeddable capabilities, and IoT opportunities.
  • Python has replaced many programming languages in the industry due to ease of use and the huge collection of libraries that developers have access to and they can work with for improved productive coding environment, optimized for speed and user-friendly data structures.
  • Python is ranked #1 on the IEEE Spectrum list of top programming languages for 2019.
  • Guido Van Rossum created Python as a pastime project and was interested in writing scripting language.
  • Python ships in various types: CPython, Jython, Brython, RubyPython, PyPy, and MicroPython.

Python is the fastest growing and the most popular language to date – utilized as a general-purpose programming language that works well as a scripting language. Python is highly favored by fintech companies and the finance industry since it can do almost anything in programming.

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