Thursday, 16 May 2019

Redirect and Errors

Flask class has a redirect() function. When called, it returns a response object and redirects the user to another target location with specified status code.
Prototype of redirect() function is as below −
Flask.redirect(location, statuscode, response)

In the above function − 1.location parameter is the URL where response should be redirected. 2.statuscode sent to browser’s header, defaults to 302. 3.response parameter is used to instantiate response.

The following status codes are standardized − 1.HTTP_300_MULTIPLE_CHOICES 2.HTTP_301_MOVED_PERMANENTLY 3.HTTP_302_FOUND 4.HTTP_303_SEE_OTHER 5.HTTP_304_NOT_MODIFIED 6.HTTP_305_USE_PROXY 7.HTTP_306_RESERVED 8.HTTP_307_TEMPORARY_REDIRECT
The default status code is 302, which is for ‘found’. In the following example, the redirect() function is used to display the login page again when a login attempt fails.
from flask import Flask, redirect, url_for, render_template, request # Initialize the Flask application

app = Flask(__name__) @app.route('/') def index(): return render_template('log_in.html') @app.route('/login',methods = ['POST', 'GET']) def login(): if request.method == 'POST' and request.form['username'] == 'admin' : return redirect(url_for('success')) return redirect(url_for('index')) @app.route('/success') def success(): return 'logged in successfully' if __name__ == '__main__': app.run(debug = True)
Flask class has abort() function with an error code. Flask.abort(code)
The Code parameter takes one of following values − 1.400 − for Bad Request 2.401 − for Unauthenticated 3.403 − for Forbidden 4.404 − for Not Found 5.406 − for Not Acceptabl 6.415 − for Unsupported Media Type 7.429 − Too Many Requests

Let us make a slight change in the login() function in the above code. Instead of re-displaying the login page, if ‘Unauthourized’ page is to be displayed, replace it with call to abort(401).
from flask import Flask, redirect, url_for, render_template, request, abort

app = Flask(__name__) @app.route('/') def index(): return render_template('log_in.html') @app.route('/login',methods = ['POST', 'GET']) def login(): if request.method == 'POST': if request.form['username'] == 'admin' : return redirect(url_for('success')) else: abort(401) else: return redirect(url_for('index')) @app.route('/success') def success(): return 'logged in successfully' if __name__ == '__main__': app.run(debug = True)

Tuesday, 7 May 2019

Computer Science Programming Basics in Ruby: Exploring Concepts and Curriculum with Ruby by Ophir Frieder (Author), Gideon Frieder (Author), David Grossman (Author)

If you know basic high-school math, you can quickly learn and apply the core concepts of computer science with this concise, hands-on book. Led by a team of experts, you’ll quickly understand the difference between computer science and computer programming, and you’ll learn how algorithms help you solve computing problems.
Each chapter builds on material introduced earlier in the book, so you can master one core building block before moving on to the next. You’ll explore fundamental topics such as loops, arrays, objects, and classes, using the easy-to-learn Ruby programming language. Then you’ll put everything together in the last chapter by programming a simple game of tic-tac-toe.
  • Learn how to write algorithms to solve real-world problems
  • Understand the basics of computer architecture
  • Examine the basic tools of a programming language
  • Explore sequential, conditional, and loop programming structures
  • Understand how the array data structure organizes storage
  • Use searching techniques and comparison-based sorting algorithms
  • Learn about objects, including how to build your own
  • Discover how objects can be created from other objects
  • Manipulate files and use their data in your software
  •  

Buy :

Computer Science Programming Basics in Ruby: Exploring Concepts and Curriculum with Ruby 1st Edition, Kindle Edition by Ophir Frieder (Author), Gideon Frieder (Author), David Grossman (Author) 

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Computer Science Programming Basics in Ruby: Exploring Concepts and Curriculum with Ruby 1st Edition, Kindle Edition by Ophir Frieder (Author), Gideon Frieder (Author), David Grossman (Author) 




Thursday, 2 May 2019

Make Your Own Twine Games! Paperback – Import, 26 Mar 2019 by Anna Anthropy (Author)

Twine is a free online tool that lets anyone new to programming create their own interactive, story-based adventure games in a web page.

In Make Your Own Twine Games!, game designer Anna Anthropy takes you step-by-step through the game development process, from coming up with a basic idea to structuring your game. You’ll learn the basics of Twine like how to use links and apply images and formatting to make your game look more distinct. You’ll get tips on how to test your game, export it, and publish it online, and even understand more advanced features like scripting to get your game to remember and respond to player choices. As you make your way through the book and begin crafting your own interactive fiction, you’ll learn other cool tricks like how to:

• Write stories that follow multiple paths using hyperlinks
• Create variables to track your player’s actions
• Add scripting like “if” and “else” to decide when ghosts should appear in your game
• Use hooks to add fancy touches like text effects, pictures, and sound 

With example games to act as inspiration, Make Your Own Twine Games! will take you from story-teller to game designer in just a few clicks! Ready player one? The game starts now.

Covers Twine 2


Buy :

Make Your Own Twine Games! Paperback – Import, 26 Mar 2019 by Anna Anthropy (Author) 

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Make Your Own Twine Games! Paperback – Import, 26 Mar 2019 by Anna Anthropy (Author) 




Finding a Year is leap or not in Python

@author python.learning
>>> def check_year(year):
...      if year%4==0 and year%100!=0 or year%400==0:
...            print ('leap year')
...      else:
               print ('not a leap year')
>>>  check_year(1972)
leap year
>>>  check_year(1975)
not a leap year



# or check with calendar
>>> import calendar
>>> print (calendar.isleap(1972) )
True
>>> print (calendar.isleap(1975) )
False

Tuesday, 30 April 2019

Learn RStudio IDE

Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and web-based interactive visualizations with Shiny. 
In addition, you will cover common data analysis tasks including importing data from diverse sources such as SAS files, CSV files, and JSON. You will map out the features in RStudio so that you will be able to customize RStudio to fit your own style of coding.

Finally, you will see how to save a ton of time by adopting best practices and using packages to extend RStudio. Learn RStudio IDE is a quick, no-nonsense tutorial of RStudio that will give you a head start to develop the insights you need in your data science projects.


What You Will Learn
  • Quickly, effectively, and productively use RStudio IDE for building data science applications
  • Install RStudio and program your first Hello World application
  • Adopt the RStudio workflow 
  • Make your code reusable using RStudio
  • Use RStudio and Shiny for data visualization projects
  • Debug your code with RStudio 
  • Import CSV, SPSS, SAS, JSON, and other data

Who This Book Is For

Programmers who want to start doing data science, but don’t know what tools to focus on to get up to speed quickly. 

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Friday, 12 April 2019

Scatter Plots in R Language

Scatterplots show many points plotted in the Cartesian plane. Each point represents the values of two variables. One variable is chosen in the horizontal axis and another in the vertical axis.

The simple scatterplot is created using the plot()function.

Syntax

The basic syntax for creating scatterplot in R is −

plot(x, y, main, xlab, ylab, xlim, ylim, axes)
Following is the description of the parameters used −

x is the data set whose values are the horizontal coordinates.

y is the data set whose values are the vertical coordinates.

main is the tile of the graph.

xlab is the label in the horizontal axis.

ylab is the label in the vertical axis.

xlim is the limits of the values of x used for plotting.

ylim is the limits of the values of y used for plotting.

axes indicates whether both axes should be drawn on the plot.

Example

We use the data set "mtcars" available in the R environment to create a basic scatterplot. Let's use the columns "wt" and "mpg" in mtcars.

input <- mtcars[,c('wt','mpg')] print(head(input))
When we execute the above code, it produces the following result −

wt mpg Mazda RX4 2.620 21.0 Mazda RX4 Wag 2.875 21.0 Datsun 710 2.320 22.8 Hornet 4 Drive 3.215 21.4 Hornet Sportabout 3.440 18.7 Valiant 3.460 18.1
Creating the Scatterplot

The below script will create a scatterplot graph for the relation between wt(weight) and mpg(miles per gallon).

# Get the input values. input <- mtcars[,c('wt','mpg')] 
# Give the chart file a name. png(file = "scatterplot.png") 
# Plot the chart for cars with weight between 2.5 to 5 and mileage between 15 and 30. plot(x = input$wt,y = input$mpg, xlab = "Weight", ylab = "Milage", xlim = c(2.5,5), ylim = c(15,30), main = "Weight vs Milage" )
 # Save the file. dev.off()
When we execute the above code, it produces the following result −

Scatterplot Matrices

When we have more than two variables and we want to find the correlation between one variable versus the remaining ones we use scatterplot matrix. We use pairs() function to create matrices of scatterplots.

SYNTAX

The basic syntax for creating scatterplot matrices in R is −

pairs(formula, data)
Following is the description of the parameters used −

formula represents the series of variables used in pairs.

data represents the data set from which the variables will be taken.

EXAMPLE

Each variable is paired up with each of the remaining variable. A scatterplot is plotted for each pair.

# Give the chart file a name. png(file = "scatterplot_matrices.png") # Plot the matrices between 4 variables giving 12 plots. 
# One variable with 3 others and total 4 variables. pairs(~wt+mpg+disp+cyl,data = mtcars, main = "Scatterplot Matrix") # Save the file. dev.off()
When the above code is executed we get the following output.

Friday, 29 March 2019

Java 9 Modularity Revealed: Project Jigsaw and Scalable Java Applications by Alexandru Jecan (Author)

Develop modular applications using the Java Platform Module System, the single most anticipated feature in Java 9. You will improve maintainability and performance of your Java applications by deploying only modules that are needed and encapsulating their implementation details. 

Until now Java has been monolithic. Using any one part of Java has meant incorporating the entirety of the runtime environment, an approach ill-suited to the increasing number of IoT devices such as fitness monitors, kitchen appliances, toys and games, and so forth. This book shows a new way, to make Java scale from the smallest of footprints in the smallest of devices through desktop PCs and on up to server platforms. 

With Java 9 Modularity Revealed you will learn to make your projects more reliable and scalable than ever using the most important feature in Java 9―The Java Platform Module System, known more commonly as Project Jigs
aw. You will learn how to avoid one of the major pain points of Java programming, that of conflicting class names from different modules, or packages. You will learn to create custom run-time images that represent a minimal and more compact JRE containing only those modules that you need. You will further learn to migrate existing Java applications to modular ones using different approaches and tools. The end result is a new ability to plug together different modules without fear of namespace and other conflicts, and you can deploy to everything from small devices to large servers. 

This book provides code examples and explanations.

What You'll Learn 
  • Build Java applications using the new modular system introduced in Java 9 
  • Create your own JRE consisting only of the modules that you require 
  • Adapt your testing techniques toward modular applications
  • lare your dependencies on other modules 
  • Enable modules to export only specific packages 
  • Migrate existing Java applications to modular ones 
  • Improve maintainability and performance of Java applications

Who This Book Is For

Experienced Java programmers wanting to keep up and become informed on the new modularity support in Java 9
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Thursday, 28 March 2019

Beginning Sensor Networks with Arduino and Raspberry Pi (Technology in Action) by Charles Bell (Author)

Beginning Sensor Networks with Arduino and Raspberry Pi teaches you how to build sensor networks with Arduino, Raspberry Pi, and XBee radio modules, and even shows you how to turn your Raspberry Pi into a MySQL database server to store your sensor data!
First you'll learn about the different types of sensors and sensor networks, including how to build a simple XBee network. Then you'll walk through building an Arduino-based temperature sensor and data collector, followed by building a Raspberry Pi-based sensor node.
Next you'll learn different ways to store sensor data, including writing to an SD card, sending data to the cloud, and setting up a Raspberry Pi MySQL server to host your data. You even learn how to connect to and interact with a MySQL database server directly from an Arduino! Finally you'll learn how to put it all together by connecting your Arduino sensor node to your new Raspberry Pi database server.
If you want to see how well Arduino and Raspberry Pi can get along, especially to create a sensor network, then Beginning Sensor Networks with Arduino and Raspberry Pi is just the book you need.
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Wednesday, 27 March 2019

Beginning C, 5th Edition (Expert's Voice in C) by Ivor Horton (Author)

Beginning C, 5th Edition teaches you how to program using the widely-available C language. You'll begin from first-principles and progress through step-by-step examples to become a competent, C-language programmer. All you need are this book and any of the widely available free or commercial C or C++ compilers, and you'll soon be writing real C programs.
C is a foundational language that every programmer ought to know. C is the basis for C# used in Microsoft .NET programming. It is the basis for Objective-C used in programming for the iPhone, the iPad, and other Apple devices. It is the basis for the C++ that is widely used in a great many contexts, including the GNU Project. It underlies the Linux operating system and many of its utilities. Learning C provides a strong foundation for any programming care, and will even help you better understand more modern languages such as Java.
Beginning C is written by renowned author Ivor Horton. The book increases your programming expertise by guiding you through the development of fully working C applications that use what you've learned in a practical context. You’ll also be able to strike out on your own by trying the exercises included at the end of each chapter. At the end of the book you'll be confident in your skills with all facets of the widely-used and powerful C language.
  • The only beginning-level book to cover the latest ANSI standard in C
  • Revised to cover C99 features newly-supported by language compilers
  • Emphasizes writing code after the first chapter
  • Includes substantial examples relevant to intermediate users 

Buy :
Beginning C, 5th Edition (Expert's Voice in C) Paperback – 13 Mar 2013 by Ivor Horton (Author) 

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Beginning C, 5th Edition (Expert's Voice in C) Paperback – 13 Mar 2013 by Ivor Horton (Author) 




Head First C Paperback – 2012 by Griffiths David (Author)

Ever wished you could learn C from a book? Head First C provides a complete learning experience for C and structured imperative programming. With a unique method that goes beyond syntax and how-to manuals, this guide not only teaches you the language, it helps you understand how to be a great programmer. You will learn key areas such as language basics, pointers and pointer arithmetic and dynamic memory management. Advanced topics include multi-threading and network programming topics typically covered on a college-level course.

This book also features labs: in-depth projects intended to stretch your abilities, test your new skills and build confidence. Head First C mimics the style of college-level C courses, making it ideal as an accessible textbook for students.

We think your time is too valuable to waste struggling with new concepts. Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First C uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

Buy :

Head First C Paperback – 2012 by Griffiths David (Author) 

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