Knowledge in python tutorial

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.

Tensor flow 2 in Python.

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

Python for Data science.

This PDF file containing the knowledge about Python programming topics which used in Data science.

Discovery of python

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.[27]PythonParadigmMulti-paradigm: functional, imperative, object-oriented, reflectiveDesigned byGuido van RossumDeveloperPython Software FoundationFirst appeared1990; 29 years ago[1]Stable release3.7.4 / 8 July 2019; 2 months ago[2]2.7.16 / 4 March 2019; 6 months ago[3]Typing disciplineDuck, dynamic, gradual (since 3.5)[4]LicensePython Software Foundation LicenseFilename extensions.py, .pyc, .pyd, .pyo (prior to 3.5),[5] .pyw, .pyz (since 3.5)[6]Websitewww.python.org

Python Language Basics

This PDF contains all the basics of Python Language. The notes in this pdf is for beginners. Anyone Can start python coding from this pdf.

Python Function and Classes

This PDF is all about the built-in function in Python Language. This PDf also contains the basics of function and classes in python .

NumPy Basics for Data Analysis

This PDF is for those who want to learn NumPy for Data Analysis . NumPy is Python Library used for Data Analysis. All the Basics for Data Analysis are available in this PDF.

Data Agregation With Pandas (Python)

This PDF contains basics of Data Aggregation . In this PDF,Pandas library of Python Is used for data aggregation with examples.

Data Analysis Examples

This PDF contains some Data Analysis Example with Soltuions. Data Analysis is done using Pandas and Python so you should have some basic knowledge of Python and pandas .

Data Cleaning with Pandas(Python)

This PDF is about Data Cleaning using Pandas (Python).

Data Wrangling with Pandas (Python)

This PDF is about Data Wrangling with Pandas and Python.