Python Programming
WHAT IS PYTHON? Python is an object-oriented, high-level, interpreted programming language with dynamic semantics. Its high-level dynamic linking and dynamic typing combined with integrated data structure, make it very attractive for the rapid growth and development of applications, as well as for use as a scripting or paste language to connect existing components.
Python's simple and easy-to-learn syntax emphasizes readability and, therefore, reduces the cost of program maintenance. Python supports packages and modules, which encourages the reuse of code and modularity of the program. The wide standard library and the Python interpreter can be freely distributed and are available in binary or source format free of charge for all major platforms.
Often, because of the increased productivity it provides, programmers fall in love with Python. As there is no compilation step, the altering test-troubleshooting cycle is fantastically quick. Debugging Python programs is easy: an error or incorrect entry will never cause a segmentation error. On the other hand, when the interpreter discovers an error, it generates an exception. When the program does not catch the exception, the interpreter prints a stack trace. A source-level debugger allows the inspection of local and global variables, the evaluation of arbitrary expressions, the establishment of breakpoints, traversing the code one line at a time, and so on. The debugger is written in Python, which demonstrates the introspective power of Python. On the other hand, often the fastest way to debug a program is to add some print declarations to the source. The fast editing-test-debug cycle makes this simple approach very effective.
WHAT ARE THE APPLICATIONS OF PYTHON?
Python is used in many application domains. Here is a sample.
Thousands of third-party modules for Python are listed in the Python Package Index .
Web and Internet development Python offers many options for web development:
Software testing becomes a high demand in market.
Frameworks like Django and Pyramid.
Micro-frameworks such as Bottle and Bottle.
Advanced content management systems such as Plone and django CMS.
Many Internet protocols are supported by the standard Python library:
HTML and XML
JSON
Email processing
Support for FTP, IMAP and other Internet protocols.
Easy-to-use socket interface
And the package index has even more libraries:
Requests, a powerful HTTP client library.
BeautifulSoup, an HTML parser that can handle all kinds of strange HTML.
Feedparser to analyze RSS / Atom feeds.
Paramiko, implementing the SSH2 protocol.
Twisted Python, a structure for programming offbeat systems.
Numerical and Scientific
Python is widely used in numerical and scientific computing:
SciPy is a gathering of bundles for arithmetic, science and building.
Pandas is a data analysis and modeling library.
IPython is an intense intuitive shell that presents simple altering and
recording of a work session and backings representations and parallel
registering.
The Carpentry Software course shows essential abilities for logical figuring,
running training camps and giving open access to educating materials.
WHAT IS THE SCOPE AND JOB OPPORTUNITIES OF PYTHON PROGRAMMING?
Opportunities are humongous in this field as Python is one of the fastest programming languages growing these days and is in a great demand.
Software Engineer
Python Developer
Research Analyst
Data Analyst
It is very great that 41 substantial associations on the planet have embraced Python as their essential programming dialect in a little traverse of time. A portion of the enormous players like Quora, Facebook, YouTube, SlideShare, Dropbox, Pinterest, Reddit, and Netflix have a large portion of their new code written in Python. It is an open mystery in the designer world that Google has now received Python as its optional coding dialect, and has focused on utilizing it more in its new item contributions.
The fame of Python writing computer programs is relentlessly rising as are Python vocation openings.
According to the TIOBE Programming Community archive, which tracks the ubiquity of programming dialects, Python has skipped four places in the most recent last year only to rank at number 4 on the list after Java, C and C ++!
Python is widely used for data mining, analysis and really any kind of big data tasks that require a high-level language like Python. Apart from big data and data mining, Python is literally used for everything. Django is a web framework written in Python, slightly similar to Ruby on Rails. Python is used as a scripting language and for object-oriented applications. Some of the areas that Python is used a lot are financial institutes and brokerage firms to analyze large amounts of data on ETF and other financial resources, web development as mentioned above and any type of programming task that requires a high-level language like Python. At this time there are more jobs in Python related to software development instead of web development. Django is not as popular as ROR, but Python is more popular than Ruby.
In no other field of use, Python has been received as fast and energetically as in the sciences. The plan of dialect supplements the reasoning of researchers. Python does not drive them to think like PC researchers, but rather it enables them to define logical undertakings rapidly and proficiently as automatic calculations in Python. Libraries for complex scientific and measurable computations, for the perception of information in 2D and 3D, and for particular specialized purposes, prepare researchers of all orders with intense instruments to accomplish their targets all the more rapidly.