Python has input/output features which are very easy to use. Files are accessed through file objects and you can open, read, write and close files using a very simple and easy to use functions from the standard library. To manage files and deal with special file formats (xml, json..) python provides special packages that make the […]
Regular Expressions are commonly used in Linux command line tools like sed, awk, grep etc. Most programming languages support them in either built – in or through an external library. The main problem of using them is that they difficult to understand, but they are well worth the effort to learn. Using a regular expression […]
Modern operating systems allow a user to run several applications simultaneously, so that some tasks can be run in the background while the user continues with other work in the foreground. The user can also run multiple copies of the same program at the same time. To create a task we can use process or […]
In my previous post, I went over the basic concepts in machine learning and I used a very small amount of data. I got great feedbacks but also notes to make more complex example with bigger dataset. In this post I will use a bigger dataset and use pandas , seaborn and scikit-learn to illustrate […]
Python is very popular programming language with many job offers. I collected some questions (with answers) from many students interviews. Test yourself: are you ready to work with python? 1. Base and derived classes: Look at the following code:
print 'base show'
print 'derived show'
obj = B()
Is it possible to make obj call the base class show? In other words I […]
Python is not a programming language for writing algorithms. It is a dynamic language , secure and high level. If we want to write a complex algorithm we need pointers for efficiency and we will probably use C/C++. Python do have tons of external packages, some of them implemented in C and using a simple […]
Python is a great programming language for data analysis. With tons of packages for data handling it is the best choice for data analysts , algorithm developers and more Lets get started with understanding the relationship between some very popular data packages Numpy is package for multi dimension arrays – very effective implementation Scipy – […]
Django is a great Web framework for server side , Angular is a great JS framework for client side. While Integrating both frameworks, we get many benefits. This is the 3rd post about integrating both frameworks For getting started tutorial for using both Angular and Django see this post For integrating data packages – numpy, […]
Django is a great python web framework for server side. If we want to communicate with the client it can be done using the request-response model and also using a web socket especially when we want to send push notifications to the client. This is a very simple example of how to create and communicate […]
In the first post I covered the process of building a simple site with Angular 4 on the client and Django on the server and how to deploy it to heroku. One great benefit to use python is the huge amount of packages it has Python is great choice for data analysis , it has […]