How to Install Flask for Arch Linux in 4 Lines Code

Flask-Migrate is a Flask addon that manages SQLAlchemy database migrations for Alembic-based Flask apps. Database abstraction layers, form validation, and other components that utilize third-party libraries are not available.
Alembic handles everything in terms of actual database migrations, so you receive the same capabilities.

#linux #flask #python 

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How to Install Flask for Arch Linux in 4 Lines Code
Chet  Lubowitz

Chet Lubowitz

1595855400

How to install PgAdmin 4 on CentOS 8

pgAdmin is the leading graphical Open Source management, development and administration tool for PostgreSQLpgAdmin4 is a rewrite of the popular pgAdmin3 management tool for the PostgreSQL database.

In this tutorial, we are going to show you how to install pgAdmin4 in Server Mode as a web application using httpd and Wsgi module on CentOS 8.

Install pgAdmin4 on CentOS 8

**01-**To install pgAdmin4 on CentOS 8 we need to add an external repository, so execute the following command:

$ sudo rpm -i https://ftp.postgresql.org/pub/pgadmin/pgadmin4/yum/pgadmin4-redhat-repo-1-1.noarch.rpm

02- After we add the pgAdmin4 repository, let’s use the below command to install pgAdmin4 as server mode:

$ sudo dnf install pgadmin4-web

03- Before proceeding with the configuration of pgAdmin4, we need to install policycoreutils tool:

$ dnf install policycoreutils-python-utils  

04- Once we done installing pgAdmin4, we need to configure the pgAdmin4 by setting up the initial pgAdmin user account

#databases #linux #ubuntu #install pgadmin4 #install pgadmin4 centos #pgadmin #pgadmin 4 install #pgadmin 4 install centos #pgadmin4 #pgadmin4 install centos

How to Install Flask for Arch Linux in 4 Lines Code

Flask-Migrate is a Flask addon that manages SQLAlchemy database migrations for Alembic-based Flask apps. Database abstraction layers, form validation, and other components that utilize third-party libraries are not available.
Alembic handles everything in terms of actual database migrations, so you receive the same capabilities.

#linux #flask #python 

Tyrique  Littel

Tyrique Littel

1604008800

Static Code Analysis: What It Is? How to Use It?

Static code analysis refers to the technique of approximating the runtime behavior of a program. In other words, it is the process of predicting the output of a program without actually executing it.

Lately, however, the term “Static Code Analysis” is more commonly used to refer to one of the applications of this technique rather than the technique itself — program comprehension — understanding the program and detecting issues in it (anything from syntax errors to type mismatches, performance hogs likely bugs, security loopholes, etc.). This is the usage we’d be referring to throughout this post.

“The refinement of techniques for the prompt discovery of error serves as well as any other as a hallmark of what we mean by science.”

  • J. Robert Oppenheimer

Outline

We cover a lot of ground in this post. The aim is to build an understanding of static code analysis and to equip you with the basic theory, and the right tools so that you can write analyzers on your own.

We start our journey with laying down the essential parts of the pipeline which a compiler follows to understand what a piece of code does. We learn where to tap points in this pipeline to plug in our analyzers and extract meaningful information. In the latter half, we get our feet wet, and write four such static analyzers, completely from scratch, in Python.

Note that although the ideas here are discussed in light of Python, static code analyzers across all programming languages are carved out along similar lines. We chose Python because of the availability of an easy to use ast module, and wide adoption of the language itself.

How does it all work?

Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:

static analysis workflow

As you can see in the diagram (go ahead, zoom it!), the static analyzers feed on the output of these stages. To be able to better understand the static analysis techniques, let’s look at each of these steps in some more detail:

Scanning

The first thing that a compiler does when trying to understand a piece of code is to break it down into smaller chunks, also known as tokens. Tokens are akin to what words are in a language.

A token might consist of either a single character, like (, or literals (like integers, strings, e.g., 7Bob, etc.), or reserved keywords of that language (e.g, def in Python). Characters which do not contribute towards the semantics of a program, like trailing whitespace, comments, etc. are often discarded by the scanner.

Python provides the tokenize module in its standard library to let you play around with tokens:

Python

1

import io

2

import tokenize

3

4

code = b"color = input('Enter your favourite color: ')"

5

6

for token in tokenize.tokenize(io.BytesIO(code).readline):

7

    print(token)

Python

1

TokenInfo(type=62 (ENCODING),  string='utf-8')

2

TokenInfo(type=1  (NAME),      string='color')

3

TokenInfo(type=54 (OP),        string='=')

4

TokenInfo(type=1  (NAME),      string='input')

5

TokenInfo(type=54 (OP),        string='(')

6

TokenInfo(type=3  (STRING),    string="'Enter your favourite color: '")

7

TokenInfo(type=54 (OP),        string=')')

8

TokenInfo(type=4  (NEWLINE),   string='')

9

TokenInfo(type=0  (ENDMARKER), string='')

(Note that for the sake of readability, I’ve omitted a few columns from the result above — metadata like starting index, ending index, a copy of the line on which a token occurs, etc.)

#code quality #code review #static analysis #static code analysis #code analysis #static analysis tools #code review tips #static code analyzer #static code analysis tool #static analyzer

jack son

jack son

1610638240

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What should you do after you've installed Arch Linux?

A vanilla installation leaves you with nothing more than just a black screen which is for you to customize. In this module, we’ll be walking through the essential things to do after installing Arch Linux.
1. Update The System
2. Install A Display Server
3. Install A Desktop Environment
4. Install A Display Manager
5. Install An AUR Helper
6. Install Additional Kernels
7. Install Microcode
8. Rank Mirrorlists

#unix/linux #arch linux #linux