anaconda distribution

　　1. Anaconda Download　　Depending on whether you downloaded 32-bit or 64-bit according to your system, there is a versionPython3.6--64bitPython3.6--32bitPython2.7--64bitPython2.7--32bit2. Anaconda InstallationAll the way Next,PS: note the installation path3. Anaconda Simple to useAnaconda mainly includes package management Tools

MySQL: after using the original code distribution version or the binary distribution version to select the MySQL installation version, the second decision is whether you use the source code distribution version or the binary distribution version. In most cases, if your platform already has a binary

MySQL: After you select the source code distribution version or the binary distribution version and select the MySQL installation version, the second decision is whether to use the source code distribution version or the binary distribution version. In most cases, if your platform already has a binary

Introduction Poisson distribution evolved from two distribution. Two distribution that is, if the coin positive upward probability of p, toss n times coins, this n times the coin toward the K-time (k P (k) =CKNPK (1−p) n−k (1) p (k) = C_n^kp^k (1-p) ^{n-k} \ \ \ \ \ \ \ \ \ \ (1) the expectation of the coin upward is: E (k) =PN (2) e (k) = pn \ \ \ \ \ \ \ \

Python installation Graphviz Pip Install Graphviz//This should be installed first Graphviz (website download installation) Anaconda installation Graphviz Anaconda is a Python release for scientific Computing, supports Linux, MAC, Windows, and provides package management and environmental management capabilities to easily address multiple versions of Python coexistence, switching, and a variety of third-pa

Anaconda Overview Anaconda is a Python release for scientific Computing, supports Linux, MAC, Windows, and provides package management and environmental management capabilities to easily address multiple versions of Python coexistence, switching, and a variety of third-party package installation issues. Anaconda uses tools/command Conda for package and environmen

Recently in learning machine learning, using the Python language, senior recommended an IDE called Anaconda, which integrates Python and some of its extensions, even the Learning library Scikit-learn about machine learning. Download the Anaconda on some linksHttp://www.continuum.io/downloads After installation, we can start the software. The Anaconda provides S

issues related to using Anaconda and Pip I use Anaconda as the management tool for Ipython environment Anaconda download slow way Conda Environment Management change PIP source to domestic mirror anaconda download speed is slow Run on the command line using the Tsinghua mirror server: Conda config--add channels https:

When I was in college, I always thought statistics was difficult and almost hung up.After work only found that the difficult is not statistics, but our textbooks are not well written. Compared to advanced mathematics, the concept of statistics is much easier to understand.Let me give you an example of what is Poisson distribution and exponential distribution? I'm afraid most people are not clear about it.I

When I was in college, I always thought statistics was difficult and almost hung up.After work only found that the difficult is not statistics, but our textbooks are not well written. Compared to advanced mathematics, the concept of statistics is much easier to understand.Let me give you an example of what is Poisson distribution and exponential distribution? I'm afraid most people are not clear about it.I

Fujian Nanping High School Zheng dinghua 353000 mobile phone 13859389247 Abstract: relying on the "analysis tool" provided by Excel, the actual operation and solution analysis are carried out through specific examples to solve the statistical problem perfectly and efficiently, this frees teachers and students from complicated statistical operations and drawing to gain a sense of accomplishment. Keywords: Excel statistical histogram generation In statistical teaching and learning, statistical ana

OverviewThe event distribution mechanism in Android is the distribution and processing of events between view and ViewGroup. The interior of ViewGroup contains many view, and ViewGroup inherits from view, so ViewGroup itself is also a view. The event can be viewgroup to its child view and processed by the child view, and ViewGroup itself can handle the event. The following is a detailed analysis of the view

array int[] B =New int[Length];//construct B Array//count the number of elements in a, and deposit in the C array for(inti = 0; i ) {C[array[i]]+ = 1; } //accumulate the number of each element: Set the value of the C array for(inti = 0; I ) {sum+=C[i]; C[i]=sum; } //iterate a array, construct B array for(inti = length-1; I >= 0; i--) {B[c[array[i]]-1] = array[i];//Place the element in a in the position specified in array b after sortingC[array[i]]--;//this element in C-1 is

Android event distribution (1)-View event distribution, androidviewMainActivity is as follows: Package cc. cv; import android. OS. bundle; import android. view. motionEvent; import android. view. view; import android. view. view. onClickListener; import android. view. view. onTouchListener; import android. widget. button; import android. widget. imageView; import android. app. activity;/*** Demo Description

1: For N results in one experiment, if a real-value single-value function is matched for each result, the corresponding value is called a random variable. The mathematical definition is S = {e}. E is a sample in the sample space, and X = x (e) is called a random variable, in fact, it is to map the results of an experiment to a numerical value. This value is called a random variable. 2: random variables include continuous random variables and continuous random variables. You can see how to differ

Spacemacs Open Python source file auto-complete does not work, open Anaconda-mode buffer to see the following information:traceback (most recent call last): File "/users/matthew/.emacs.d/.cache/ anaconda-mode/0.1.5/service_factory-0.1.4-py2.7.egg/service_factory/providers/basehttp.py ", line +, in Do_POST Status, Response = Self.server.service (data) File "/users/matthew/.emacs.d/.cache/

Anaconda InstallationFirst go to Anaconda's official website, as shown, you will see the Anaconda download page:2, pull down or click the Windows option in the diagram to get the interface as shown, at this time you can choose according to their own version of the appropriate 2.7 or 3.6, of course, can also be installed in other versions.3, click the Download button in the image can be downloaded

blogger himself in learning machine learning process, see the related books use Python version is different, but want to each version can know how to use, next, bloggers to introduce a more simple and convenient way: First: Install the Python environment, highly recommended to use Anaconda,anaconda is a python release, if Python is compared to Linux, then Anancoda is CentOS or Ubuntu. The first step. Insta

When using the Python language for image processing, we often use anaconda. This software is powerful and integrates a lot of useful python dependencies including numpy,pandas,matplotlib and so on. In addition, the inside with the Jupyter visual editor is also very useful, strongly recommended, it is more interactive, convenient for us to debug the code. Of course, anaconda with graphics and image processin

Original address: http://conda.pydata.org/docs/test-drive.html Conda Test Guide Before starting this Conda test, you should have downloaded and installed Anaconda or MinicondaNote: after installation, you should close and reopen the Windows command line. First, Conda testing process: the use of Conda. First, we will confirm that you have installed the Conda configuration environment. Next, we'll create a few environments to showcase Conda's environme