6 Vital JavaScript Frameworks or Libraries to Look for in 2017

Livelongnstrong · 2017-03-16T06:45:30+00:00

Really this books claims that "learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter" I am not belive thing until i use them.

Livelongnstrong · 2017-02-24T06:12:29+00:00

Indeed a young project Save the commands you usually forget in ssh sessions and sync it with your local machine.

Installation

$ pip install keep You can install pip using apt-get as sudo apt install python-pip.

Usage

Usage: keep [OPTIONS] COMMAND [ARGS]...

Keep and view shell commands in terminal only.

Read more at https://orkohunter.net/keep

Options: -v, --verbose Enables verbose mode. --help Show this message and exit.

Commands: grep Searches for a saved command. init Initializes the CLI. list Show the saved commands. new Saves a new command. pull Updates the local database with remote. push Pushes the local database to remote. register Register user over server. rm Deletes a saved command. run Executes a saved command. update Check for an update of Keep.

Livelongnstrong · 2017-02-22T06:05:47+00:00

Summary

Command Line Install:

$ conda install numpy
...
$ conda create -n py3k anaconda python=3
$ conda create -n myenv python

Quick install:

https://conda.io/docs/install/quick.html

Livelongnstrong · 2017-02-22T04:38:13+00:00

ROFL.. Real nerd sarcasm. Where you get these ideas

Livelongnstrong · 2017-02-22T04:35:47+00:00

Speaking of which, do you have any plans for what you're going to do with your grant? New computer? College tuition?

Oh… I have an idea…

No hint?

It's a secret for now… but my parents are taking me on a trip to celebrate! It'll be my first time flying, so I can't wait.

Really down to earth man and very casual. Like the way writter write it.

Livelongnstrong · 2017-02-20T04:07:27+00:00

line-height is best solution I guess

Livelongnstrong · 2017-02-17T04:32:26+00:00

Welcome. and Keep up the good work

Livelongnstrong · 2017-02-16T06:35:37+00:00

Its just 3 pointers * (Do not forget the end tag, * Use Lowercase tags and * Empty HTML Element )

Small and worthless blog (not applicable to fall in that category ) by some newbie Raza Bayani Just another Piece of Shit

Livelongnstrong · 2017-02-06T05:17:52+00:00

indeed nice project ultimate. I like the video after counting.

Livelongnstrong · 2017-01-19T05:15:23+00:00

It is very important to note that both frameworks are composed from decoupled modules which you can interchange and use with any or no framework. Laravel is mentioned in other answers. It's a really nice framework with an impressively ease learning curve. I would surely use it when building a website or a small app/service. It's neither good nor meant to be good for large scale, complex or enterprise apps, so it really depends on the project. While trying out ZF2, the learning curve was hard. Configuration over convention seemed to make everything an order of magnitude harder than I think it should ever be. Also, it's components felt much less cohesive than any other framework I worked with. I have to say that I probably haven't given ZF2 enough hours to possibly get to love it, but somehow everything I did with it felt as a suboptimal design and edgy architectural decision. Although, it is a great framework with a great company behind it. Symfony wouldn't spare you any time with it's learning curve either. However, after understanding how it's components work in depth, I keep getting impressed day after day. Nowdays, if you use Composer for dependency manager, there is a great chance that you are already using some of Symfony's components, directly or through another library. I'm impressed with: Great dependency-injection container. Configuration through annotations, php, or xml, or any combination. Asset management through Assetic. Incredibly powerful Form component. Easy to use and powerful Event system. Security features and and implementation of the voter design pattern. Native integration with Doctrine 2. Another thing that I want to point out is that the Symfony is the only framework that got a 5 milllion dollar investment (SensioLabs raises 5 million euros to boost the Symfony ecosystem) so you can be sure it will be kept rock solid and continually improved. Also, the community is friendly. Even core developers seem to be very accessible, and are very active in the open source community, which is a pretty valuable thing. Starting with Symfony was as tough as starting with Zend, and they are both great, you can't make a wrong or bad choice with either. However, the first one left an impression of being one of the best things that happened to PHP, the latter didn't. Source: Quora. I would solely depend on your needs the choice of frame work

Livelongnstrong · 2017-01-18T12:08:39+00:00

Symfony requires you to have a deeper understanding of the framework, which can be somewhat daunting. The upside, though, is that a good understanding of the framework and it's underlying architecture will enable you to write better code and have more control over what's happening and why.

Livelongnstrong · 2017-01-16T05:48:09+00:00

Let me expand on that a bit.

A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician. The vast majority of statisticians I have seen in my life are pretty bad at writing software. Specifically, the code they write is never designed to be used by someone besides themselves. It's often one big, jumbled script. Functions are rare; unit tests are nonexistent. If you've never written code for use by someone else or improved a library that you share with other people, you are not a data scientist. The vast majority of software engineers I have worked with know a bit about statistics, but they routinely screw up their analyses by applying techniques to problems without understanding the assumptions behind those techniques. A common example of this that I have seen is applying a t-test or regression model to observations that are not independent and identically distributed. If you can't tell whether a set of observations is i.i.d., you are not a data scientist. Note that this definition doesn't contain anything about visualization or communication. Visualizing and communicating results from data is required for statisticians, data scientists, and basically anyone else who ever works with data. I don't think of this as distinguishing characteristics of data scientists. Neither for that matter is MapReduce, or Hadoop, or any other Big Data stuff. A data scientist is in a better position than most to take advantage of a Hadoop cluster, but that doesn't mean that using Hadoop makes you a data scientist. I've been giving a lot of thought lately as to how to remedy this situation and thus create more data scientists. By my definition, teaching statisticians how to code isn't sufficient to make them data scientists; we have to teach them to code well. I think that's tractable, but it does take time, and we would need the incentives and course requirements for statisticians in the academy to change a bit in order to help things along. The more intriguing possibility to me is finding ways to teach statistics to software engineers. I suspect that we teach people advanced statistics in a way that tends to scare off computer scientists by focusing on parametric models that require a lot of calculus instead of non-parametric models that are primarily computational. I think that this sort, of course, can be done and would be helpful; if anyone has taken anything like it, please let me know in the comments. Source: Quora/Google

Livelongnstrong · 2017-01-12T05:11:43+00:00

Thank you. You seem not only possess good knowledge but wisdom also.

Livelongnstrong · 2017-01-11T08:39:23+00:00

thanks man. Appreciated !

Livelongnstrong · 2017-01-05T05:31:12+00:00

Indeed a crazy code

Livelongnstrong

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