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Home All Updates (128) HOW TO LEARN PYTHON
HOW TO LEARN PYTHON PROGRAMMING ABOUT PYTHON Python is a widely used high-level programming language for general-purpose programming, created by Guido van Rossum and first released in 1991. It is an interpreted language that provides code readability and a syntax that allows programmers to express concepts in fewer lines of code than might be used in languages such as C++ or Java. The language provides constructs intended to enable writing clear programs on both a small and large scale. Python features a dynamic type system and automatic memory management and supports multiple programming paradigms, including object-oriented, imperative, functional programming, and procedural styles. It has a large and comprehensive standard library. Python interpreters are available for many operating systems, allowing Python code to run on a wide variety of systems. FEATURES OF PYTHON LANGUAGE 1. A simple language which is easier to learn Python has a very simple and elegant syntax. It's much easier to read and write Python programs compared to other languages like: C++, Java, C#. Python makes programming fun and allows you to focus on the solution rather than syntax. If you are a newbie, it's a great choice to start your journey with Python. 2. Free and open-source You can freely use and distribute Python, even for commercial use. Not only can you use and distribute softwares written in it, you can even make changes to the Python's source code. Python has a large community constantly improving it in each iteration. 3. Portability You can move Python programs from one platform to another, and run it without any changes. It runs seamlessly on almost all platforms including Windows, Mac OS X and Linux. 4. Extensible and Embeddable Suppose an application requires high performance. You can easily combine pieces of C/C++ or other languages with Python code. This will give your application high performance as well as scripting capabilities which other languages may not provide out of the box. 5. A high-level, interpreted language Unlike C/C++, you don't have to worry about daunting tasks like memory management, garbage collection and so on. Likewise, when you run Python code, it automatically converts your code to the language your computer understands. You don't need to worry about any lower-level operations. 6. Large standard libraries to solve common tasks Python has a number of standard libraries which makes life of a programmer much easier since you don't have to write all the code yourself. For example: Need to connect MySQL database on a Web server? You can use MySQLdb library using import MySQLdb . Standard libraries in Python are well tested and used by hundreds of people. So you can be sure that it won't break your application. 7.Object-oriented Everything in Python is an object. Object oriented programming (OOP) helps you solve a complex problem intuitively. With OOP, you are able to divide these complex problems into smaller sets by creating objects. APPLICATIONS OF PYTHON 1. GUI-Based Desktop Applications: Python has simple syntax, modular architecture, rich text processing tools and the ability to work on multiple operating systems which make it a desirable choice for developing desktop-based applications. There are various GUI toolkits like wxPython, PyQt or PyGtk available which help developers create highly functional Graphical User Interface (GUI). The various applications developed using Python includes: Image Processing and Graphic Design Applications: Python has been used to make 2D imaging software such as Inkscape, GIMP, Paint Shop Pro and Scribus. Further, 3D animation packages, like Blender, 3ds Max, Cinema 4D, Houdini, Lightwave and Maya, also use Python in variable proportions. Scientific and Computational Applications The higher speeds, productivity and availability of tools, such as Scientific Python and Numeric Python, have resulted in Python becoming an integral part of applications involved in computation and processing of scientific data. 3D modeling software, such as FreeCAD, and finite element method software, such as Abaqus, are coded in Python. Games: Python has various modules, libraries and platforms that support development of games. For example, PySoy is a 3D game engine supporting Python 3, and PyGame provides functionality and a library for game development. There have been numerous games built using Python including Civilization-IV, Disney’s Toontown Online, Vega Strike etc. 2. Web Frameworks and Web Applications: Python has been used to create a variety of web-frameworks including CherryPy, Django, TurboGears, Bottle, Flask etc. These frameworks provide standard libraries and modules which simplify tasks related to content management, interaction with database and interfacing with different internet protocols such as HTTP, SMTP, XML-RPC, FTP and POP. Plone, a content management system; ERP5, an open source ERP which is used in aerospace, apparel and banking; Odoo – a consolidated suite of business applications; and Google App engine are a few of the popular web applications based on Python. 3. Enterprise and Business Applications: With features that include special libraries, extensibility, scalability and easily readable syntax, Python is a suitable coding language for customizing larger applications. Reddit, which was originally written in Common Lips, was rewritten in Python in 2005. Python also contributed in a large part to functionality in YouTube. 4. Operating Systems: Python is often an integral part of Linux distributions. For instance, Ubuntu’s Ubiquity Installer, and Fedora’s and Red Hat Enterprise Linux’s Anaconda Installer are written in Python. Gentoo Linux makes use of Python for Portage, its package management system. 5. Language Development: Python’s design and module architecture has influenced development of numerous languages. Boo language uses an object model, syntax and indentation, similar to Python. Further, syntax of languages like Apple’s Swift, CoffeeScript, Cobra, and OCaml all share similarity with Python. 6. Prototyping: Besides being quick and easy to learn, Python also has the open source advantage of being free with the support of a large community. This makes it the preferred choice for prototype development. Further, the agility, extensibility and scalability and ease of refactoring code associated with Python allow faster development from initial prototype. The Python programming language has a wide range of syntactical constructions, standard library functions, and interactive development environment features. Fortunately, you can ignore most of that; you just need to learn enough to write some handy little programs. You will, however, have to learn some basic programming concepts before you can do anything. Like a wizard-in-training, you might think these concepts seem arcane and tedious, but with some knowledge and practice, you’ll be able to command your computer like a magic wand to perform incredible feats. So if you want to learn this object oriented language and want to become a python developer then you can join python programming course in our institute ETL Labs Pvt. Ltd. at Gomti Nagar Lucknow. For more information and for any queries you can visit us at
  • 2017-08-16T06:24:35

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Master Big Data Anal
Master Big Data Analytics Big Data Analytics is the process of examining data sets in order to draw conclusions about the information they contain. Learning about big data analytics is an ongoing process, and there are a variety of routes professionals and students can take to become experts in the field. For today’s marketing and IT professionals, big data analytics is rapidly becoming an essential yet multifaceted skill, and those who master big data analytics play a critical role in transforming their companies into data-driven organizations. To become a successful IT professional master big data analytics. Here are some reasons why you should master big data analytics- Big data creates career advancement opportunities for IT and other professionals. Big data analytics skills are useful in practically any setting, including learning environments. Big data is changing the way marketing and IT professionals are trained. Machine learning enables organizations to draw from past experiences to predict outcomes. Big data analytics knowledge is useful in many roles, including the C-suite.  Technology readily supports the collection, storage, and security of big data, but the real opportunity lies in big data analysis. Managers must learn tools for analyzing and visualizing information to communicate with data scientists. To get the most out of big data, companies must make big data a central business tenet. If you want to read more about why you should learn big data analytics? Then you can visit at- There are many job opportunities in the present market for big data analytics professionals. You can learn Big Data Analytics by joining Data Analytics course conducted by one of the best centers for big data analytics training, ETL Labs Pvt. Ltd. at Gomti Nagar Lucknow. ETL Labs is set up under the guidance of IIM Ahmedabad alumni. Course for big data analytics training is designed by our experts from IIM Ahmedabad. For more information about this training center, you can visit us at-
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