Ajay yadav expo

    5)  C : C is one of  the oldest programming language. It has been used to develop operating systems for computers. It is also used to develop computer drivers and system software. Softwares developed in इस close to hardware and has good speed than other softwares. But in market is not in much demand. So be careful. learn it to get good strong in basics of the programming language.  4)  C++ : Advanced version of the C lang uage having Oops concepts. It is good to develop games engines. So if you want to develop games definitely you should pick up this language due to its speed. It's faster than other languages like javascript, Python etc.   3)  JAVA   :  Android is the reason for the popularity of this language. You can develop system software, android Apps and used in websites development. But Android is the main reason for the popularity in the market. 2) JavaS cript : It's awesome language to develop...

Python has gained immense popularity as a general-purpose, high-level back-end programming language for the creation of the prototype and developing applications. Python’s readability, flexibility, and suitability to data science operations have made it one of the most preferred languages among developers. It is extensively used by developers who need to apply statistical techniques or data analysis in their work. Data scientists use Python to integrate their tasks with web apps or production environments. Python libraries simplify complex jobs and make data integration much easier with fewer codes and in lesser time. In this article, I will discuss the salient features of some the top Python libraries for Data Science in 2018, and how to use them for work. 1) NumPy and SciPy NumPy provides you with fast precompiled functions for mathematical and numerical routines. In addition, NumPy optimizes Python programming with powerful data structures for efficient computation o...

Python can do almost every thing  Because  it has majority of libraries . some basics libraries are listed below ... Top 20 python libraries which have been a part of my toolbelt and should be a part of yours as well. So here they are: 1. Requests . The most famous http library written by kenneth reitz. It’s a must have for every python developer.   2. Scrapy . If you are involved in webscraping then this is a must have library for you. After using this library you won’t use any other. 3. wxPython . A gui toolkit for python. I have primarily used it in place of tkinter. You will really love it. 4. Pillow . A friendly fork of PIL (Python Imaging Library). It is more user friendly than PIL and is a must have for anyone who works with images. 5. SQLAlchemy . A database library. Many love it and many hate it. The choice is yours. 6. BeautifulSoup . I know it’s slow but this xml and html parsing library is very useful for beginners. 7. Twisted . ...