Knowledge in Python

Basics of Python

Basics of Python

PYTHON TUTORIAL

Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL). This tutorial gives enough understanding on Python programming language. Audience This tutorial is designed for software programmers who need to learn Python programming language from scratch. Prerequisites You should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages is a plus. Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages. Python is Interpreted − Python is processed at runtime by the interpreter. You do not need to compile your program before executing it. This is similar to PERL and PHP. Python is Interactive − You can actually sit at a Python prompt and interact with the interpreter directly to write your programs. Python is Object-Oriented − Python supports Object-Oriented style or technique of programming that encapsulates code within objects. Python is a Beginner's Language − Python is a great language for the beginner-level programmers and supports the development of a wide range of applications from simple text processing to WWW browsers to games. History of Python Python was developed by Guido van Rossum in the late eighties and early nineties at the National Research Institute for Mathematics and Computer Science in the Netherlands. Python is derived from many other languages, including ABC, Modula-3, C, C++, Algol-68, SmallTalk, and Unix shell and other scripting languages. Python is copyrighted. Like Perl, Python source code is now available under the GNU General Public License (GPL). Python is now maintained by a core development team at the institute, although Guido van Rossum still holds a vital role in directing its progress. Python Features Python's features include − Easy-to-learn − Python has few keywords, simple structure, and a clearly defined syntax. This allows the student to pick up the language quickly. Easy-to-read − Python code is more clearly defined and visible to the eyes. Easy-to-maintain − Python's source code is fairly easy-to-maintain. A broad standard library − Python's bulk of the library is very portable and cross-platform compatible on UNIX, Windows, and Macintosh. Interactive Mode − Python has support for an interactive mode which allows interactive testing and debugging of snippets of code. Portable − Python can run on a wide variety of hardware platforms and has the same interface on all platforms. Extendable − You can add low-level modules to the Python interpreter. These modules enable programmers to add to or customize their tools to be more efficient. Databases − Python provides interfaces to all major commercial databases. GUI Programming − Python supports GUI applications that can be created and ported to many system calls, libraries and windows systems, such as Windows MFC, Macintosh, and the X Window system of Unix. Scalable − Python provides a better structure and support for large programs than shell scripting.

python code to calculate the sum , mean and deviation

assignment -python code to calculate the sum , mean and deviation

How did Python become popular in the world of programming languages?

#1 Python is efficient You can accomplish a lot with Python, sometimes in only a few lines of code. Its critics may consider Python’s execution speed problematic, but the benefits outweigh any performance concerns. Several modules, packages, and libraries exist to make our lives easier. Instead of writing lengthy, complex loops to parse and find patterns in text, you can import the regular expressions module to get the job done using very little code. Another example is Beautiful Soup, a library that many use for web scraping to extract data from HTML and XML files or web pages.#2 Python has an active communityPython has a growing fan base that keeps it alive and thriving. Thanks to the large community of Python programmers, over 134,740 projects in the Python Package Index (PyPI) exist to serve all kinds of needs. The PyPI repository is like your hardware store, a place to go for the tools needed to implement and finish a project. I was surprised to find even a distribution to process MARC records. Unless you are a librarian, the chances are slim you have ever heard of a MARC record, which is a Machine-Readable Cataloging record used by most libraries.#3 Python is simple With a shorter learning curve than other languages, say Java or C++, and understandable and readable syntax, you don’t need to be a programmer to start applying Python to everyday tasks. Python automatically takes care of things like garbage collection and even closes files, opened via the ‘with’ statement, for you. People starting out may also find the use of indentation to signify the start and end of loops, functions, classes and code blocks easier than tracking down the traditional opening and closing curly braces.#4 Python is in academiaAcademia is fueling the adoption of Python. Computer science curriculum now include Python as a core language requirement — unlike in the past where the focus was on applying Java, C, and C++ to formal coursework. Granted, programmers still need knowledge of these languages, but the rising demand for data science, machine learning, deep learning and artificial intelligence specialists is making Python the go-to tool.#5 Python is on trendSkills in data science and artificial intelligence are in high demand. Glass door ranks Data Scientist as the #1 best job in America for 2018, while artificial intelligence is touted as the future of technology. Python is fast becoming the preferred choice for data scientists and machine learning professionals. It carries a rich and robust set of libraries, such as numpy for machine learning, pandas for data wrangling and analysis, scikit-learn for data science and machine learning, tensorflow for machine learning, keras for deep learning and many others.

Is it worth learning Python? Why or why not?

This file completely describes why python is trending and what are the top 10 reasons that had mad it a future language in 2019. Also companies using the python are been described.

What is the easiest and most useful coding language to learn?

My answer is PythonIt’s awesome. That’s all you need to know. You can stop reading here and start coding now.Of course, you want to know more. But it’s that simple.Besides being awesome, Python should be your first programming language because you will quickly learn how to think like a programmer.Python is very readable.You won’t waste a lot of time memorizing the arcane syntax that other programming languages will present you. Instead, you will be able to focus on learning programming concepts and paradigms.Once you have those tools under your belt you can move on to other more powerful, specific languages and readily understand a given piece of code.Also Python is super-powerful! There’s a reason NASA uses it. As a beginner, you’ll be able to accomplish anything you need with Python.Python is easy to learn. The learning curve is very gradual. Other languages can be quite steep.

Top 10 reasons to learn python

This file tells why one should consider python as it first programming language and explains the top ten reasons for its popularity.

Python and Ruby Programming Language

Following document contains complete noted to understand both basic and advanced concepts of Python and Ruby programming.

Python practice Quiz

Practice Quiz of PYTHON programming language.

Data cleaning using Python

This PDF covers the topic that how to clean the Data using Python.

Complete Python programming overview.

This PDF gives you about the complete overview of the Python programming language.

Tensor flow 2 in Python.

This PDF file containing the full guide of tensorflow 2.0 in Python.