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Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

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Simple automated GIT Deployment using GIT Hooks

Here are the simple steps needed to create a deployment from your lokal GIT repository to a server based on this in-depth tutorial.

How it works

You are developing in a working-copy on your local machine, lets say on the master branch. Most of the time, people would push code to a remote server like github.com or gitlab.com and pull or export it to a production server. Or you use a service like my Deepl.io to act upon a Web-Hook that's triggered that service.

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git branch -m old_branch new_branch         # Rename branch locally    
git push origin :old_branch                 # Delete the old branch    
git push --set-upstream origin new_branch   # Push the new branch, set local branch to track the new remote

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{
   "1":{
      "name":"Bulbasaur",
      "attack":49,
      "defense":49,
      "evolveLevel":16,
      "evolveTo":"2",
      "type":"grass",
      "moves":[
         "tackle",

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#!/usr/bin/env python
import sys
import pandas as pd
import pymongo
import json



def import_content(filepath):
    mng_client = pymongo.MongoClient('localhost', 27017)

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This small subclass of the Pandas sqlalchemy-based SQL support for reading/storing tables uses the Postgres-specific "COPY FROM" method to insert large amounts of data to the database. It is much faster that using INSERT. To acheive this, the table is created in the normal way using sqlalchemy but no data is inserted. Instead the data is saved to a temporary CSV file (using Pandas' mature CSV support) then read back to Postgres using Psychopg2 support for COPY FROM STDIN.

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Oh my zsh.

Install with curl

sh -c "$(curl -fsSL https://raw.githubusercontent.com/robbyrussell/oh-my-zsh/master/tools/install.sh)"

Enabling Plugins (zsh-autosuggestions & zsh-syntax-highlighting)

• Download zsh-autosuggestions by

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Default

Powerlevel10k

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Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

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def dataframe_difference(df1, df2, which=None):
    """Find rows which are different."""
    comparison_df = df1.merge(df2,
                              indicator=True,
                              how='outer')
    if which is None:
        diff_df = comparison_df[comparison_df['_merge'] != 'both']
    else:
        diff_df = comparison_df[comparison_df['_merge'] == which]
    diff_df.to_csv('data/diff.csv')