Showing posts with label python scope. Show all posts
Showing posts with label python scope. Show all posts

Wednesday, 15 March 2017

Interesting Things About Python


Introduction to Python
Python is one of the scripting language programs and which supports many open source language. 90% of peoples are using python for web development because it is easy and reliable to use. As a result of many open source techniques python helps to build application at faster and efficient manner
Uses of python
Python is widely used to develop various applications and it can support various OS like windows, UNIX, Linux… Many companies like Google, Yahoo, and Bing are using python
Feature of python
  • The main feature of python is that the codes are being written in c, c++ and it has readable syntax.
  • It has dynamic syntax.
  • Sound introspection capabilities.
  • Python also supports various integration techniques.
  • Python is an user friendly application.
  • It has less code than java.

Monday, 6 March 2017

12 Reasons to Learn Python Programming


You will grasp that easily
It is always a difficult task to learn a new language, but this is not with Python. Python is designed to be easily grasped by a novice programmer. The python codes are easily readable by the developer who has little bit knowledge about codes. The standard library opens a lot of functionalities which will help you execute complex functionalities without any problem.
You will get many opportunities
Yes, you will be able to peek out through the window of programming through python. Python has a different object oriented approach which is preferred by a lot of the leading languages like Ruby, JavaScript, C#, etc.
First choice for Web Development
Python has an array of frameworks which provides a lot of flexibility in case of web development with python. There are many web frameworks offered by python like TurboGears, Pylons, Zope2, etc.


Monday, 27 February 2017

Applications of Python



3D CAD/CAM

FreeCAD is an Open Source CAx RAD based on Open Cascade, Qt and Python. It features some key concepts like Macro recording, Workbenches, ability to run as a server and dynamically loadable Application extensions and its designed to be platform independent.
Fandango is planned to be a full featured CAD program and has C++ core extensible by scripts. Currently the memory core for entity management is ready, scripting works wonderfully thanks to the ease of embedding and extending of Python. A KDE+XML user interface is now in place, controlling the keyboard and mouse.
Vintech RCAM is a CAD/CAM system for true shape nesting and NC programming of laser, plasma, oxy-fuel and water-jet cutting machines. Vintech RCAM is platform independent and now it runs under Windows XP, Windows 7 and Linux. The main programing language of the system is Python, which defines the advanced methodology and the dynamic system development.

Audio/Video Applications

cplay - Curses-based Linux multimedia jukebox
Freeseer - Conference recording software and screencast tool
Freevo - Linux multimedia jukebox
TimPlayer - Py-GTK based music player using GStreamer

Click Here To Obtain Source…

Thursday, 23 February 2017

Exceptions in Python


What is an Exception?
An Exception is an event or error that would happen during the execution of a program that would disturbs their execution. Whenever there is an error, Python generates an exception that could be handled. It basically prevents the program from getting crashed. When a Python script raises an exception, it must either handle the exception immediately otherwise it terminates and quits.
Why we use Exceptions
There was a valid as well as invalid exceptions occurred many times. Exceptions are convenient in many ways for handling errors and also the special conditions in a program. If we have some set of code which produces error, at that time we can use exception handling technique.

Handling an exception


If you have some suspicious code that may raise an exception, you can defend your program by placing the suspicious code in a try: block. After the try: block, include a except: statement, followed by a block of code that handles the problem as elegantly as possible.
If you have any queries? Mention it in the comment section, we will clarify you soon…!

Wednesday, 22 February 2017

Introduction to Python for Big data Analytics


Hi everyone, if you are a fresher or experienced having lot of queries for learning which programming language. Don’t worry… we are providing a Webinar on Python for Big data Analytics. The title of the webinar is . We will be discussing the essential topics in detail and any queries can be rectified during the session.
Topics to be covered:
1. Introduction to Python
2. Python and Big Data
3. Python and Data Science
4. Key features of Python and their usage in Business Analytics
5. Business Analytics with Python – Real world Use Cases
Why Python?
Python is an interpreted, interactive, high level programming language similar to PERL with ease of accessibility, readability and having a simple syntax. Python is a preferred choice among professionals looking into Big Data Analytics and its feature of being a general-purpose, high level programming with a gradual learning curve makes it popular as compared to other programming languages.
Nowadays, most organizations would shift their emphasis to Big Data Analytics with an expected investment of over $50 billion. A simple and scalable tool is needed to analyze the big data, which has been answered by Python. In the today’s situation some of the most top organizations from search engine giants, like Google to NASA that are using Python for different purposes.
For more information also check out our on ‘Big Data Processing with Apache Storm’. Click Here to know more!   
If you have any queries?..Mention it in the comment section, we will clarify you!



Tuesday, 21 February 2017

Brief Overview of Python

Introduction

Welcome! Are you completely new to programming? If not then we presume that you will be looking for information about why and how to get started with python. Fortunately you are a fresher or experienced programmer in any programming language would pick up Python very quickly. It’s easy for beginners use and learn, so jump in! Join Python Training in Chennai at Besant Technologies to Learn from here and finally remove ‘L’ from it!

Tuesday, 14 February 2017

Why Learn Python?


Python is the great language for beginners which are easy to learn and maintain. To start programming in python, it’s easy to complete a program within two days. By using other languages it is extremely vast because in that go into its packages, like its machine learning packages, SciPy packages, Matplotlib and so on. So, it might take more time to complete.
  • Python’s biggest strength is that its bulk of library is portable.
  • There are millions of people around the world are working on Python and making contributions to its development.
  • It’s an open-source language. If you have Python in your system means write your own piece of package and then submit it for approval.
  • There are hundreds and thousands of packages available that are portable and helps in programming to clarify some of the stuff.
PyCharm
It is a GUI-based development environment having the Python packages connected to Python. For example, everyone has Twitter and Facebook accounts. How do analyze date from Twitter and Facebook? PyCharm package is used to
  • pull streaming data from Twitter or Facebook,
  • save it and conduct a search in it,
  • do a sentiment analysis, or
  • Run some kind of machine learning algorithm on it.
Many people worked hard in order to create these packages. Accordingly, all you have to do is read a little bit of documentation about this package and start implementing, instead of writing thousands of lines of code. Even in Python, you may end up it by writing 50-60 lines of code.
Machine Learning
Machine learning algorithms are mostly used to create artificial intelligence in machines which are also available in SciKit Learn. It has been optimized in a way that the machine learning code would write in just 4-5 lines. Use this package, invoke those procedures and functions, pass the data, fit your model and then predict the outcome which is very easy. Python has made lot of things easier and it is still being contributed by thousands of developers across the world. It’s going to get much better and that is why it’s becoming popular.
Data Analytics
With libraries like PyDoop and SciPy, it’s a dream come true for Big Data Analytics. Nowadays, there are tons of data flowing from everywhere, those would be analyzed first. In some organizations, they have the data from the past 70 years, while in others they have data from past 30-40 years and it’s too huge. They would store this data in some database somewhere, and it might be lost. Let’s take data of 1970s; but who cares about the 1970s data in this age? However, to find a trend, those data’s are important in a way. It’s not just important, it’s necessary to find a trend.
For example, I am in a computer manufacturing company and I want to find a trend as to what’s happening. You might have heard about forecasting and how people do that. Basically, they capture the data of the past 2-3 years. Let’s say, last year in March, the sales were 1 million, in April the number was 2 million, in May 3 million, and so on and so forth. They would just take this data and then extrapolate it to this year. Then, they assume that since last year in August, it was 1 million, this year too in August, it might be 1 million. That’s how they extrapolate it. So just look at the amount of data taken. May be in a couple of years when they average out the data of those years, they may do a moving average or use some kind of statistical algorithm but with a limited amount of data.
With the advent of Hadoop and Big Data, Data Processing has changed. Nowadays, we can process the data for 30 years and find a pattern, which might be anything. It should be sin wave or cosine wave to some graph, which is not any kind of wave, but just a zigzag graph which tell the pattern. In order to implement those algorithms with so much of data with the help of libraries like, PyDoop and SciPy.
Growing Interest in Python
Last 30 years the python has been there, but the growth of interest started in July, 2010. The name python is originated from the play in London (UK) doesn’t derive from the animal python (snake). In July 2010 the interest of Python started growing well to today itself. Most of the organizations, particularly the one dealing with data and Data Analytics asking the experienced and also having knowledgeable person in python.


If you have any queries? Mention it in the comment section, we will clarify you!

Friday, 10 February 2017

Range Functions and Sequences in Python


Range() generates lists containing arithmetic progression.
Three variations of range() function
>> range(stop) – Starts from 0 till (stop – 1)
>> range(start,stop) – Ends at (stop – 1)
>> range(start,stop,step) – Step cannot be 0, default is 1
Example of Range Function
range(stop) - If the range is defined as 5, it would simply show the list of numbers falling in the range from 0 to 5. The default range starts from 0 and stops before 5, as defined.
range(start, stop) – The point of starting as well as stopping is defined in this. As shown in the example below, the start range has been defined as 5, while stop range as 10. Hence, it would display the numbers 5, 6, 7, 8, 9, which range between 5 to 10.
range(start, stop, step) - The first two values defined here are the same, start and stop, while the third one is step, which means the difference between every two consecutive numbers. For example, if range is defined in this way: range(0, 10, 2). It will give away numbers between 0 to 10, but with a difference of 2, in this way: [0, 2, 4, 6, 8]. The step here cannot be given 0 value. It has to be 1 or greater than 1.
Sequences in Python
A sequence is the succession of values bound together by a container that reflects their type. Almost every stream that we put in Python is a sequence.
Types of Sequences
  • Lists
  • Tuples
  • Xrange
  • String
The python is supported by some other sequences are strings, lists, tuples and Xrange objects. Python has a bevy of methods and formatting operations that can perform.
List
  • A list is a sort of container which holds the number of other objects, in a given order.
  • The list type implements the sequence protocol which allows adding and removing objects from the sequence.
  • It is an ordered set of elements enclosed in square brackets.
Simple definition of list – li = []
li = list() # empty list
li = list(sequence)
li = list(expression for variable in sequence)
example
            >>> list(a)
            [‘e’, ‘x’, ‘a’, ‘m’, ‘p’, ‘l’, ‘e’]
            >>> list3 = [‘Hadoop’, ‘Python’, ‘Data Science’, ‘Pig’, ‘hive’]
            >>> list3
            [‘Hadoop’, ‘Python’, ‘Data Science’, ‘Pig’, ‘hive’]
            >>> list3[2:]
            [‘Data Science’, ‘Pig’, ‘hive’]
            >>> list3[2:3]
            [‘Data Science’]
            >>> list3[2:4]
            [‘Data Science’, ‘Pig’]
            >>> list3[2:5]
            [‘Data Science’, ‘Pig’, ‘hive’]
            >>>
Accessing List Elements
To access the elements of a list:
n = len(li)
item = li[index] #Indexing
slice = li[start:stop] #Slicing
List Indexing

list[i] returns the value at index i, where i is an integer. A negative index accesses elements from the end of the list counting backwards. The last element of any non-empty list is always li[-1]. Python raises an IndexError exception, if the index is outside the list.

Accessing Command Line Arguments

Python supports the creation of programs that would run on the command line, completely with command-line arguments. It provides getopt modules that parse the command line options and arguments. The Python sys module provides access to any of the command-line arguments via sys.argv. It solves two purposes:
  • sys.argv is the list of command line arguments
  • len(sys.argv) is the number of command line arguments that are in the command line
  • sys.argv[0] is the program, i.e. script name

Executing Python

The python should be executed in the following
$python Commands.py inp1, inp2 inp3

Example

import sys
print ‘Number of arguments:’, len (sys.argv), ‘arguments.’
print ‘Argument List:’, str(sys.argv)
It will produce the following output:
Number of arguments: 4 arguments.
Argument List: [‘sample.py’, ‘inp1’, ‘inp2’, ‘inp3’]
If you have any queries? Mention them in the comments section and we will clarify you.

Wednesday, 8 February 2017

Introduction to strings in python


In Python, the strings should be created by simply enclosing the characters in quotes. Python does not support the character types. These are treated as length-one strings, and are also considered as substrings. Substrings are immutable and can’t be changed once created.
Strings are the ordered blocks of text that are enclosed in single or double quotations. Thus, whatever is written in quotes, is considered as string. Though it can be written in single or double quotations, double quotation marks allow the user to extend strings over multiple lines without backslashes, which is usually the signal of continuation of an expression, e.g., ‘abc’, “ABC”.

Concatenation and Repetition

  • Strings are concatenated with the +sign:
>>> ‘abc’+‘def’
‘abcdef’
  • Strings are repeated with the *sign:
>>> ‘abc’*3
‘abcabcabc’

Indexing and Slicing Operation

  • Python starts the indexing at ‘0’
  • A string s will have indexes running from 0 to len(s)-1 (where len(s) is the length of s) in integer quantities.
  • S[i] fetches the ‘i’th element in the s.

Built-in String Methods

Following are the built-in String Methods that can be used in Python:
  • capitalize() – This method is used to capitalize the first letter of string.
  • count(str, beg= 0, end=len(string)) – Used to count how many times  the str occurs in string or in a substring of string, if beginning index ‘beg’ and ending index ‘end’ are given.
  • encode(encoding=‘UTF-8’,errors=‘strict’) – This method is used to return the encoded string version of string; on error, default raises a ValueError, unless the error is given with ‘ignore’ or ‘replace’.
  • decode (encoding=‘UTF-8’, errors=‘strict’) – This method is used to decode the string using the codec registered for Encoding. Encoding defaults to the default string function.
  • index(str, beg=0, end=len(string))- Same as find(), but it raises an exception if str is not found.
  • max(str)- Used to return the max alphabetical character from the string str.
  • min(str)- This is used to return the min alphabetical character from the string str.
  • replace(old, new [, max])- This method is used replace all the occurrences of ‘old’ in string with ‘new’ or maximum occurrences if max is given.
  • upper()- This method is used to convert the lowercase letters in a string to uppercase.

If you have any queries? Mention them in the comments section and we will clarify you.

Tuesday, 7 February 2017

Python for DataScience


Python is the selection of information researchers. In nowadays python plays an important role to do their everyday exercises, as it has a differing scope of open-source libraries, and everything is free. The work of data scientists involves several interrelated activities, such as:
  • Accessing and manipulating data
  • Computing statistics
  • Creating visual reports on that data
  • Configuring predictive and explanatory models
  • Evaluating the models based on the additional data
  • Integrating the models into the production systems
If a data scientist wants to do some ad hoc analysis on data, he doesn’t write a Java code; the reason is java is too complicated for a data scientist to start programming. It has its own syntax and semantics, and every time there is a chance for developing a program in which one might run into a syntax or a semantic error, which nobody needs. Consequently, Pig and Hive were developed, however additionally we have Python in parallel, wherein you don't need to compose a great deal of lines of code.
The only thing that you need to remember in Python is indentation. Whenever a code is being written, in this time one needs to take care of spacing. If the indentation (spacing) is not proper, the program would be failed. If you are running a ‘for loop’, anything within the ‘for loop’ has to come a few inches inside the ‘for loop’. All lines of code should have same indentation or should be in one line.
SciPy
SciPy (pronounced as “sigh pie”) is Scientific Python which empowers the scientific analysis. It is a Python-based biological system of open-source software for mathematics, science, and engineering. We all have done differentiation, equation, etc. in mathematics, in school and college. Presently, how is it done in computers? It can be done in Octave as well, but Python provides us with SciPy which is the one that can perform such types of operations very easily. The Python that coordinates some libraries namely NumPy, SciPy library, Matplotib, IPython, Sympy, and pandas, and each one has its own role to play.

If you have any queries ? Specify them in the remarks area we will clarify you !..

Monday, 6 February 2017

Introduction to python IDE

Introduction to python IDE

Python IDE (Integrated Development Environment) is a code editor, which allows editing of code making use of a series of peripheral components and attachments. The code editor we are using which almost gives the same result.

Features of Python IDE

  • It has  an ordinary text-editor
  • It offers a variety of language with specific shortcut editing functions.
  • Very fast and comfortable to use
  • Python is also an interpreter
PyCharm is one of the Python IDE code editors that are generally used by programmers.

Downloading PyCharm 

The Free Community Edition of PyCharm can be downloaded from the link below:
http://www.jetbrains.com/pycharm/download/

Starting Python

To start Python, you just need to type Python in your terminal command line and after that press enter.
The $ sign denotes the start of a terminal command line, and then the # sign denotes a comment. Python ignores anything written on the right side of # sign on a given line.

Using the Interpreter

  • In addition to being a programming language, Python is also an interpreter. It reads other Python programs and commands, and executes them.
  • Python programs are compiled automatically before being scanned by the interpreter. The hidden scanning process makes Python faster than a pure interpreter.
  • Once you’re inside Python, you can type commands at your own will.
  • Quantities stored in memory are not displayed by default
  • If the quantity is stored in memory, typing its name will display it.
  • To exit the interpreter, you need to press [Ctrl + D]

If you have any queries? Mention them in the comments section and we will clarify you.

Tuesday, 31 January 2017

Benefits of Python

Benefits of Python

Python is a dynamic object-oriented programming language that would be compared with Java and Microsoft's .NET-based languages as a general-purpose substrate for many kinds of software development. It offers strong support for integrating with other technologies, higher programmer productivity throughout the development life cycle, and is particularly well suited for large or complex projects with changing requirements.

Python is the most rapidly growing open source programming language. According to InfoWorld its user base is nearly doubled in 2004, and currently includes 14% of all programmers.

Python is being used in mission critical applications in the world's largest stock exchange, forms the basis for high end
newspaper websites, run on millions of cell phones, used in industries as diverse as ship building, feature length movie animation, and air traffic control.

Python is available for most operating systems, including Windows, UNIX, Linux, and Mac OS.

Key Strengths
Python's clean object-oriented design which would extensively support libraries and offer two to ten fold. The programmer productivity seen with languages like C, C++, C#, Java, VB, and Perl.

Python's key strengths
Integration
Of all types, including Enterprise Application Integration (EAI). Python makes it easy to develop Web services, which would invoke COM or CORBA components, calls directly to and from C, C++, or Java code (via Jython), provides powerful process control capabilities, implements all common internet protocols and data formats, processes XML and other markup languages, that would be embedded as a scripting language, and runs from the same byte code on all modern operating systems.

Network intensive applications
Complex multi-protocol network applications that would build a Twisted, a development framework well suited for running large number of concurrent network, database, and inter-process communication links within the same process.

Web development
From simple CGI scripting to high-end web application development with mega-frameworks such as Django and TurboGears, the Zope application server, Plone content management system, Quixote web application framework, or even a home-grown solution based on Python's extensive that is easy to use standard libraries. Python provides interfaces to most databases, powerful text processing and document processing facilities, and plays well with other web technologies.

Numeric and scientific applications
Use of the Python Imaging Library, VTK and MayaVi 3D Visualization Toolkits, Numeric Python, Scientific Python and many other tools available for numeric and scientific applications. Many of these are supported by the Enthought Python Distribution.

Application scripting
Snap with Python's tight integration with C/C++ and Java. Python was designed from the ground up to be embeddable and serves as an excellent choice as a scripting language for customization or extension of larger applications.

Software Testing
Benefits from Python’s strong integration and text processing capabilities, and Python come with its own unit testing framework.

Desktop development
Using wxPython, PyQt, or PyGtk for high-quality GUI applications. Protect the investment by basing on open technologies, with deployment to most operating systems. Support for other GUI frameworks, such as MFC, Carbon, Delphi, X11, Motif, and Tk, is also available.

Prototyping
Python is quick and easy, and often results in development of the final system. The agile nature of the language and the ease of refactoring code make for rapid development directly from the initial prototype.

The Open Source Advantage
It would be developed as open source by thousands of contributors from around the world; Python is very well designed, fast, robust, portable, and scalable. With an uncluttered, easy-to-learn syntax and well-developed advanced language features, Python often exceeds the capabilities of comparable commercially available solutions.

The open source license for Python allows unrestricted use, modification, and redistribution of the language or anything that is based on it, commercially or otherwise. Full source is available and there are no license costs. Support is available for free, from a rich set of internet-based resources, and from organizations in the business of providing paid support to Python users.