Welcome. Here you find latest freeware and legal software as well as latest info about IT Technology.
At its Google for India event in New Delhi today, the company announced a new mobile app designed with users in India in mind: YouTube Go.

The app brings YouTube to your mobile device with a slew of options to help you save on your carrier’s data fees and to work in areas with poor connectivity.

YouTube Go features video previews in the form of slideshows for each clip, so can get an idea of what it’s about before you stream or save it to your device. You can also see its file size before downloading, along with how much storage space you have left on your phone.

Tips and tools for optimizing your Android Apps easily.

 - BY TIBOR KAPUTA - FREELANCE SOFTWARE ENGINEER @ TOPTAL

Android devices have a lot of cores, so writing smooth apps is a simple task for anyone, right? Wrong. As everything on Android can be done in a lot of different ways, picking the best option can be tough. If you want to choose the most efficient method, you have to know what’s happening under the hood. Luckily, you don’t have to rely on your feelings or sense of smell, since there’s a lot of tools out there that can help you find bottlenecks by measuring and describing what’s going on. Properly optimized and smooth apps greatly improve the user experience, and also drain less battery.


Let’s see some numbers first to consider how important optimization really is. According to a Nimbledroid post, 86% of users (including me) have uninstalled apps after using them only once due to poor performance. If you’re loading some content, you have less than 11 seconds to show it to the user. Only every third user will give you more time. You might also get a lot of bad reviews on Google Play because of it.


Testing your users’ patience is a shortcut to uninstallation.
The first thing every user notices over and over is the app’s startup time. According to another Nimbledroid post, out of the 100 top apps, 40 start in under 2 seconds, and 70 start in under 3 seconds. So if possible, you should generally display some content as soon as possible and delay the background checks and updates a bit.


Always remember, premature optimization is the root of all evil. You should also not waste too much time with micro optimization. You will see the most benefit of optimizing code that runs often. For example, this includes the onDraw() function, which runs every frame, ideally 60 times per second. Drawing is the slowest operation out there, so try redrawing only what you have to. More about this will come later.

Performance Tips

pnotes
A notes app is a lightweight freeware, fully customizable  and very easy to use. PNotes comes with many different attractive skin and lot of feature with it. It support formatting for each individual notes. It comes with a control panel from where every notes is manageable, backup, restore option and lot more. PNotes is very easy to use and it is alternative to Sticky Notes by Windows OS.

pnotes screenshot

Computer Science Students must consider these 8 online courses.

C++JavaPython
#src: cs.stanford.edu
Completing graduation with Computer Science stream doesn't guarantee a job anymore. It is necessary to add extra skill with your profile to be attractive enough for employers. You  need to get specialization in any of the computer technology. There is huge tech course avail after graduation. Websites offering many free online tech course in the world.

“Indian learners come want to advance their careers and gain relevant job-ready skills. Currently, we have over 1.6 million learners from India, out of which almost one-third (31 per cent) have enrolled for computer science courses. With India being the world's largest sourcing destination for the IT industry, we expect this number to grow in the coming years.”
  ̶  Kabir Chadha, India Country Manager, Coursera

  1. Algorithms: Design and Analysis:  Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth.  This class is for learners with a bit of programming experience who want to learn the essentials of algorithms. Stanford University offers a course in Algorithms online, which is rigorous but emphasises the big picture and conceptual understanding over low-level implementation and mathematical details. After gaining the knowledge on algorithms, one can be well-positioned to ace technical interviews and speak fluently about algorithms with other programmers and computer scientists.
  2. Python programming: With this course, one can get introduced to fundamental programming concepts including data structures, networked application program interfaces and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the specialisation to design and create your own applications for data retrieval, processing and visualisation. This course is offered by University of Michigan online.
  3. HTML, CSS and JavaScript: This course allows you to learn the essential elements of web page development, covering HTML, CSS and JavaScript. No previous experience of these technologies is necessary, although it is helpful if you have some prior programming experience. This course covers HTML together with CSS and essential components of JavaScript, including variables, arrays, loops, events and functions. The course also explores more advanced elements of JavaScript control, including advanced use of functions, event control, array processing, and DOM manipulation. The Hong Kong University of Science and Technology offers this course online.
  4. Functional Programming Principles in Scala: Functional programming is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications. Scala fuses functional and object-oriented programming in a practical package. It interoperates seamlessly with both Java and Javascript. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. It provides the core infrastructure for sites such as Twitter, Tumblr and also Coursera. In this course you will discover the elements of the functional programming style and learn how to apply them usefully in your daily programming tasks. You will also develop a solid foundation for reasoning about functional programs, by touching upon proofs of invariants and the tracing of execution symbolically. École Polytechnique Fédérale de Lausanne University offers the course online.
  5. Build Your First Android App (Project-Centered Course): In this project-centered course, you’ll design, build, and distribute your own unique application for the Android mobile platform. We’ll provide you with a set of customizable building blocks that you can assemble to create many different types of apps, and that will help you become familiar with many important specificities of Android development. When you complete the project, in addition to having a personalized app that you can use and share, you’ll have the skills and background you need to move on to more advanced coursework in Android development. The course is offered by CentraleSupélec.
  6. Introduction to Programming with MATLAB: This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines. The problems may be relatively complex, while the MATLAB programs that solve them are relatively simple: relative, that is, to the equivalent program written in a general-purpose language, such as C++ or Java. As a result, MATLAB is being used in a wide variety of domains from the natural sciences, through all disciplines of engineering, to finance, and beyond, and it is heavily used in industry. Hence, a solid background in MATLAB is an indispensable skill in today’s job market. It is offered by Vanderbilt University.
  7. Data Structures: A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures. The course is being offered by University of California, San Diego, Higher School of Economics.
  8. Object Oriented Programming in Java: This course is being offered by University of California, San Diego. This is an intermediate Java course and is recommended to learners who have previous experience in software development or a background in computer science.  In the course, one can learn learn the fundamentals of Object Oriented Programming, how to leverage the power of existing libraries, how to build graphical user interfaces, and how to use some core algorithms for searching and sorting data. And this course is project-based!
#SRC: techgig.com


Making a career change is never easy, but few things are more motivating than the prospect of a good salary and a dearth of competition. That's a fair summary of the data science world today, as at least one well-publicized study has made clear, so why not investigate a little further?

There's been a flurry of free resources popping up online to help those who are intrigued learn more. Here's a small sampling for each step of the way.

Data Science

  1. Understanding Data Science: Microsoft's website might not automatically spring to mind as a likely place to look, but sure enough, a few months ago the software giant published a really nice series of five short videos entitled "Data Science for Beginners." Each video focuses on a specific aspect, such as "The 5 questions data science answers" and "Is your data ready for data science?"
  2. Look in more deeper: If you think you might be interested in a career in data science, you may want to start getting a feel for the lay of the land by tapping into some of the big blogs and community websites out there. The newly revamped OpenDataScience.com is one example; KDnuggets is another useful resource. A recent post on Data Science Central (another good site) lists key accounts to follow on Twitter. KDnuggets suggests some good e-books to read before plunging into a data science career.
  3. Learn the ropes: Still interested? Then you're probably going to need to acquire some skills, as Adam Flugel, a data-science recruiter with Burtch Works, noted in an interview earlier this year. DataCamp delivers instruction for both groups and individuals; other online options include Open Source Data Science Masters and this introductory textbook, which is available as a free PDF through a Creative Commons license. KDnuggets has a nice list of its own with other good options.
  4. Get a Job: There are lots of places to look for data scientist jobs today, including the aforementioned OpenDataScience.com, which has a section dedicated to that purpose. Kaggle has a jobs board of its own, and there are more to be found on Glassdoor and Indeed.com. Correlation One, a site that just launched earlier this year, bills itself as a matchmaker for data scientists and employers.
  5. Start impressing: Once you get an interview, there's nothing more confidence-building than expert tips for acing it. Look no further than KDnuggets, which has published just what you need in a post entitled, "21 Must-Know Data Science Interview Questions and Answers." Good luck!


#SRC: ComputerWorld
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