Pythoholic: Python conepts and projects.

Scrapping table data from website Web Scrapping: Web scrapping is technique to fetch data from websites. It is known as web data extraction.   We can do web scrapping using many ways. There are many ways to get web table data using urllib and BeautifulSoup, but its lengthy, complex and also time-consuming process.   To avoid these disadvantages, we use the pandas library. We can do same task using pandas library.                   read_html(): read_html() is the method in pandas library is a web scraping tool that extracts all the tables on a website by just giving the required URL as a parameter. Read HTML tables into a list of data frame objects.             Syntax: pandas.read_html(url, other parameters)                    Important  Parameters: match: This parameter is used for extracting the targeting table.     header: The row to use to make as the column header.      skiprows: Used to skip a number of rows.  attr: This is a dictionary of attributes that you can pass to

 Data Extraction from PDF:  The basic concept of extract text from PDF files means to get important (What you want from PDF) data from PDF files. There are available lots of libraries for text extraction from PDF files. PyPDF invoice2data textract pdfMiner pdf plumber tabula (for extract tabular data) Let’s start with PyPDF : PyPDF is capable of Splitting documents page by page. Merging documents page by page. Cropping pages. Extracting document information. Encrypting and decrypting PDF files. To install PyPDF type the below command in the terminal: pip install PyPDF2 (For python2) pip install PyPDF3 (For python3) 2.  Tabula:  tabula-py is a simple Python wrapper of  tabula-java , which can read tables in a PDF.      Tabula is one of the useful packages which not only allows you to scrape tables from PDF files    but also convert a PDF file directly into a CSV file.           To install tabula library:           pip install tabula-py           Parameters:  1.        pages(option

Data Structure: The data  structure is a way to store and organize data in an efficient way. The data structure is a set of algorithms that we can use in any programming language to structure the data in the memory. Data Structure in Python:  Python provides a variety of useful built-in data structures, such as lists, sets, and dictionaries. For the most part, the use of these structures is straightforward. Tuple: Tuple is used to store multiple items in a single variable. It is a collection and unchangeable. Tuples are written within round brackets.   Example: Tuple1 = ( "apple" ,  "banana" )          print (Tuple1)  List: A list is used to storing multiple items in a single variable. A list can also have another list of items. This called a nested list. We can use the index operator [ ] to access an item in a list.   Python provides multiple methods for lists.                                                                                           Example:  l1 =