Boto3 S3 Usage

After you must have created an account with AWS and verified your account has been activated. Boto3 official docs explicitly state how to do this. /my-dataset s3://data_raw To list all the datasets in a S3 bucket one can use the command below: dtool ls s3://data_raw See the dtool documentation for more detail. resource('s3') s3. Amazon S3 can be used to store any type of objects, it is a simple key-value store. com In Boto3, if you're checking for either a folder (prefix) or a file using list_objects. Storage > Libraries > Cloud Storage > Online Help > Add / Edit Cloud Storage (General) > Amazon S3. S3Boto3Storage to add a few custom parameters, in order to be able to store the user uploaded files, that is, the media assets in a different location and also to tell S3 to not override files. resource('s3') bucket = s3. It is implemented in python and uses cloudwatch Events rule. resource('s3') print(s3. AWS EMR Spark, S3 Storage,. In order to use the AWS SDK for Python (boto3) with Wasabi, the endpoint_url has to be pointed at the appropriate service URL (for example s3. Session(profile_name='') #ensure to use appropriate profile s3_client = session. Boto provides an easy to use, object-oriented API, as well as low-level access to AWS services. The backend based on the boto library has now been officially deprecated and is due to be removed shortly. CHAPTER 1 Amazon S3 1. Boto provides an easy to use, object-oriented API as well as low-level direct service access. all()) answered Dec 5, 2018 by Rishav. One caveat to boto3 is the lack of autocomplete, which means you will have to open boto3 documentation every time you use it just to copy those long function and parameter. S3 Credentials. By definition of Boto3 - Boto3 is the Amazon Web Services (AWS) Software Development Kit (SDK) for Python, which allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2. After configuring Visual Studio Code to use boto3 type hints via the botostubs module, you should be on your way to being a much more productive Python developer. The distinction between credentials and. Boto3 is the Amazon Web Services (AWS) Software Development Kit (SDK) for Python, which allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2. But I'm supposed to remove my credentials from this inst. What I used was s3. Session alone uses increases memory usage immensely and now my application is running on 3GB of memory instead. Here are the examples of the python api boto3. We can create a new "folder" in S3 and then move all of the files from that "folder" to the new "folder". In this article we will focus on how to use Amzaon S3 for regular file handling operations using Python and. However, the bad news is that it is quite …. AWS Lambda and S3: a quick and dirty tutorial - Figure out the basics without tearing your hair out. (Why do I want to use boto instead of boto3? Answer: I have boto3 code working perfectly in my test system, but it fails in what seems to be unpredictable ways when operating at scale, and the fail seems to be inside boto3. To use Boto 3, you must first import it and tell it what service you are going to use: import boto3 # Let's use Amazon S3 s3 = boto3. Article AWS Boto3 Programming S3. ALLOWED_UPLOAD_ARGS. You can delete the folder by using a loop to delete all the key inside the folder and then deleting the folder. In Amazon S3, the user has to first create a. You can combine S3 with other services to build infinitely scalable applications. TransferConfig) -- The transfer configuration to be used when performing the download. Cloud Custodian uses Boto3 to automate mundane tasks like cleaning up unused AWS resources. Session alone uses increases memory usage immensely and now my application is running on 3GB of memory instead. Here is the code I used for doing this:. Boto3 is Amazon’s officially supported AWS SDK for Python. This app will write and read a json file stored in S3. Use wisely. Boto3 upload file to s3 keyword after analyzing the system lists the list of keywords related and the list of websites with related content, in addition you can see which keywords most interested customers on the this website. Basically what we're going to do is use a standard HTML file element and an easy to use S3 PHP class to make a page where people can upload a file to your S3 account and get information about the files that have already been uploaded. Here we are using boto3 to access s3. When using boto3 to talk to AWS the API's are pleasantly consistent, so it's easy to write code to, for example, 'do something' with every object in an S3 bucket:. AWS_S3_USE_SSL (optional: default is True) Whether or not to use SSL when connecting to S3. If you're working with S3 and Python and not using the boto3 module, you're missing out. filter(Prefix. Apologies for what sounds like a very basic question. smart_open uses the boto3 library to talk to S3. I have a piece of code that opens up a user uploaded. I'd like to graph the size (in bytes, and # of items) of an Amazon S3 bucket and am looking for an efficient way to get the data. You can estimate the monthly cost based on approximate usage with this page. This works fine. So without further ado, lets begin: Configuring S3 ︎. EC2 instances don't have a concept of an "owner". It can be used side-by-side with Boto in the same project, so it is easy to start using Boto3 in your existing projects as well as new projects. Results may vary. Now that we are successfully connected to S3, we need to create a function that will send the user's files directly into our bucket. or its affiliates. boto3 - AWS SDK for Python #opensource. The backend based on the boto library has now been officially deprecated and is due to be removed shortly. On boto I used to specify my credentials when connecting to S3 in such a way: import boto from boto. import boto3 s3 = boto3. By voting up you can indicate which examples are most useful and appropriate. This sample project depends on boto3, the AWS SDK for Python, and requires Python 2. Generating a pre-signed S3 URL for reading an object in your application code with Python and Boto3. It's the boto3 authentication that I'm having a hard time. Attention! To use boto3 your virtual machine has to be initialized in project with eo data. If no session is specified, boto3 uses the default session to connect with AWS and return a session object. resource ('s3') S3. X I would do it like this:. Therefore, the majority of your tools and libraries that you currently use with Amazon S3, work as-is with Cloud Storage. Step 3 : Use boto3 to upload your file to AWS S3. com/mastering-boto3-with-aws-services/?couponC. resource('s3')def lambda_handler(event, context): bucket = event['Records'][0]['s3']['bucket']. You can either make use of low-level client or higher-level resource declaration. This app will write and read a json file stored in S3. The folders are called buckets and “filenames” are keys. Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. aiobotocore allows you to use near enough all of the boto3 client commands in an async manner just by prefixing the command with await. Installing boto3_wasabi allows you to continue to use AWS S3 with boto3 while being able to use Wasabi S3. S3 is the Simple Storage Service from AWS and offers a variety of. Mainly I developed this as I wanted to use the boto3 dynamodb Table object in some async microservices. com S3 Drop In Replacement. Included in this blog is a sample code snippet using AWS Python SDK Boto3 to help you quickly. We use cookies for various purposes including analytics. This app will write and read a json file stored in S3. Cloud Custodian will delete buckets or keys that are no longer in use on S3. S3 Use-cases: Since S3 is cost-effective, S3 can be used as a backup to store your transient/raw and permanent data. I recommend collections whenever you need to iterate. " -Gideon Kuijten, Pro User "Thank You Thank You Thank You for this tool. resource ('s3') bucket = s3. Boto3 is the Amazon Web Services (AWS) Software Development Kit (SDK) for Python, which allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2. resource ('s3') S3. Boto3 is the Amazon Web Services (AWS) SDK for Python, which allows Python developers to write software that makes use of Amazon services like S3 and EC2. So without further ado, lets begin: Configuring S3 ︎. Python is a great language to get started automating things in your cloud environments. If you want to get up to speed with S3 and understand how to implement solutions with it, this course is for you. What is boto3? Boto3 is AWS SDK for Python, which allows Python developers to write scripts/software that makes use of services like S3, EC2, etc. Now, you can use your S3 bucket for Lambda notifications, because the stack added the required notification configuration to your S3 bucket. /my-dataset s3://data_raw To list all the datasets in a S3 bucket one can use the command below: dtool ls s3://data_raw See the dtool documentation for more detail. In our tutorial, we will use it to upload a file from our local computer to your S3 bucket. One line, no loop. It allows you to directly create, update, and delete AWS resources from your Python scripts. (Botocore is the library behind Boto3. Why lambda? Obviously, we can use sqs or sns service for event based computation but lambda makes it easy and further it logs the code stdout to cloud watch logs. When using Boto you can only List 1000 objects per request. You can use S3 to host your memories, documents, important files, videos and even host your own website from there! Join me in this journey to learn ins and outs of S3 to gain all the necessary information you need to work with S3 using Python and Boto3! Let's take a closer look at what we're going to cover in this course step-by-step. To use the AWS Transcribe API be sure that your AWS Python SDK – Boto3 is updated. resource ( 's3' ) Now that you have an s3 resource, you can make requests and process responses from the service. Hosting a Website in S3 Bucket - Part 2. The following are code examples for showing how to use boto3. Use wisely. Sam wants to cast off the shackles of only being able to use her computer for storage and compute. s3-python-example-create-bucket. aiobotocore allows you to use near enough all of the boto3 client commands in an async manner just by prefixing the command with await. Packt – Developing with S3 AWS with Python and Boto3 Series English | Size: 1. Python and AWS SDK make it easy for us to move data in the ecosystem. All functions of the Pro-product are available, except the JScript viewer and the support for stand alone mode. This project creates a S3 repository with imagery acquired by the China-Brazil Earth Resources Satellite (CBERS). Boto3 makes it easy to integrate you Python application, library or script with AWS services. Once all of this is wrapped in a function, it gets really manageable. By creating the appropriate policies on our bucket and the role used by our Lambda function, we can enforce any requests for files in the bucket from the Lambda function to use the S3 endpoint and remain within the Amazon network. So Boto3 makes use of the existing services within your application, not to create one. Service Host. Boto3 was something I was already familiar with. Even for customers who aren't looking to leverage object storage, many tools they're starting to use assume an object backend, and communicate via Amazon's S3 API, which has become the de facto standard in object storage APIs. Specifies the use of SSE-S3 to encrypt delivered Inventory reports. AWS SDK for Python Sample Project. resource Mocking boto3 S3 client method Python. Object('bucket_name', 'key'). By default a session is created for you when needed. com S3 Drop In Replacement. To copy a dataset from local disk (my-dataset) to a S3 bucket (/data_raw) one can use the command below: dtool copy. docx from COMPUTER S 101 at UFSCar. boto3 doesn’t do compressed uploading, probably because S3 is pretty cheap, and in most cases it’s simply not worth the effort. There are two types of configuration data in boto3: credentials and non-credentials. Service: s3. resource ('s3') bucket = s3. And clean up afterwards. AWS SDK for Python Sample Project. This is the process we are aiming to build: Drop files to an S3 bucket;. I'm assuming that we don't have an Amazon S3 Bucket yet, so we need to create one. py demonstrates how to create an new Amazon S3 bucket given a name to use for the bucket. Once we cover the basics, we'll dive into some more advanced use cases to really uncover the power of Lambda. However, there are use cases in which you may want documentation in your IDE, during development for example. By voting up you can indicate which examples are most useful and appropriate. OK, I Understand. Download some data locally for doing in-memory analysis using Pandas, Spark, R, or similar tools. It enables Python developers to create, configure, and manage AWS services, such as EC2 and S3. Traffic to a VPC Endpoint creates a private connection between the specified VPC and AWS service. You can use the existence of 'Contents' in the response dict as a check for whether the object exists. Use wisely. I couldn't find any direct boto3 API to list down the folders in S3 bucket. They are extracted from open source Python projects. S3 Use-cases: Since S3 is cost-effective, S3 can be used as a backup to store your transient/raw and permanent data. This sample project depends on boto3, the AWS SDK for Python, and requires Python 2. Prepare Your Bucket. I can loop the bucket contents and check the key if it matches. This section shows how to connect Amazon Web Services (AWS) S3 as a data source on the Platform. This post will be updated frequently when as I learn more about how to filter AWS resources using Boto3 library. View Amazon Storage (S3) - OK. The following table you an overview of the services and associated classes that Boto3 supports, along with a link for finding additional information. Sam wants to cast off the shackles of only being able to use her computer for storage and compute. In this blog post, I'll show you how you can make multi-part upload with S3 for files in basically any size. View Amazon Storage (S3) - OK. connection import Key, S3Connection S3 = S3Connection( settings. For Access & Secret Access Keys. Use the aws s3 from the command-line. I'll show you either way. S3 bucket limits, prices. It can be used side-by-side with Boto in the same project, so it is easy to start using Boto3 in your existing projects as well as new projects. Now we need to make use of it in our multi_part_upload_with_s3 method: config = TransferConfig(multipart_threshold=1024 * 25, max_concurrency=10, multipart_chunksize=1024 * 25, use_threads=True) Here's a base configuration with TransferConfig. delete() Boom 💥. Boto provides an easy to use, object-oriented API, as well as low-level access to AWS services. They are extracted from open source Python projects. In order to use the AWS SDK for Python (boto3) with Wasabi, the endpoint_url has to be pointed at the appropriate service URL (for example s3. I hope that this simple example will be helpful for you. 5 For best results, Samsung Pay on Gear S3 requires network connection through LTE, Wi-Fi or via Bluetooth pairing with compatible smartphone. Image thumbnail generation by Lambda is a great example for this use case, so the solution will be cost effective and you don't need to worry about scaling up - Lambda will handle any. As the GitHub page says, “Boto3 is the Amazon Web Services (AWS) Software Development Kit (SDK) for Python, which allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2. It is used to connect with AWS and managed services using Python. Use Boto3 to open an AWS S3 file directly By mike | February 26, 2019 - 7:56 pm | February 26, 2019 Amazon AWS , Linux Stuff , Python In this example I want to open a file directly from an S3 bucket without having to download the file from S3 to the local file system. Sam wants to cast off the shackles of only being able to use her computer for storage and compute. com Boto is the Amazon Web Services (AWS) SDK for Python. All rights reserved. Or Feel free to donate some beer money. S3 Account Secret Key¶ In order to use the S3 middleware, the end user must also get an S3 key. We used boto3 to upload and access our media files over AWS S3. Boto3 is AWS SDK for Python. It can be used side-by-side with Boto in the same project, so it is easy to start using Boto3 in your existing projects as well as new projects. Boto is the Amazon Web Services (AWS) SDK for Python, which allows Python developers to write software that makes use of Amazon services like S3 and EC2. Amazon Web Services, or AWS for short, is a set of cloud APIs and computational services offered by Amazon. You will learn how to integrate Lambda with many popular AWS services, such as EC2, S3, SQS, DynamoDB, and more. This value is used to store the object and then it is discarded; Amazon does not store the encryption key. Join the world's most active Tech Community! Welcome back to the World's most active Tech Community!. We will check if the environment variables for our key and secret are set. boto3 is a Python library allowing you to communicate with AWS. This module has a dependency on boto3 and botocore. AWS EMR Spark, S3 Storage,. Upload the data from the following public location to your own S3 bucket. There are two types of configuration data in boto3: credentials and non-credentials. You can vote up the examples you like or vote down the ones you don't like. micro instance usage or 750 hours per month of Windows t2. Amazon web services (AWS) is a useful tool to alleviates the pain of maintaining infrastructure. If you want to learn the ins-and-outs of S3 and how to implement solutions with it, this course is for you. S3 Account Secret Key¶ In order to use the S3 middleware, the end user must also get an S3 key. What I used was s3. Here is the code I used for doing this:. I'm assuming that we don't have an Amazon S3 Bucket yet, so we need to create one. Non-credential configuration includes items such as which region to use or which addressing style to use for Amazon S3. Apologies for what sounds like a very basic question. Boto3, the next version of Boto, is now stable and recommended for general use. In this example we want to filter a particular VPC by the "Name" tag with the value of 'webapp01'. All functions of the Pro-product are available, except the JScript viewer and the support for stand alone mode. en utilisant boto3, je peux accéder à mon seau AWS S3: s3 = boto3. Write File to S3 using Lambda. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. You can either make use of low-level client or higher-level resource declaration. If you're not familiar with S3, then just think of it as Amazon's unlimited FTP service or Amazon's dropbox. Any suggestions on how to do this Here is what I have so far: import jsonimport boto3import zipfileimport gzips3 = boto3. This blog post is a rough attempt to log various activities in both Python libraries. The folders are called buckets and "filenames" are keys. X I would do it like this: import boto. This Course is focused on concepts of Boto3 And Lambda, Covers how to use Boto3 Module & AWS Lambda to build realtime tasks with Lots of Step by Step Examples. This module allows the user to manage S3 buckets and the objects within them. I'm trying to do a "hello world" with new boto3 client for AWS. I checked my usage from writing this post. Except that each boto3. I know of the IAM user, but it doesn't seem applicable (that I can see anyway) to my Glue job. The following are code examples for showing how to use boto3. You can vote up the examples you like or vote down the ones you don't like. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. This provides further security, since you can designate a very specific set of requests that this set of keys are able to perform. The backend based on the boto library has now been officially deprecated and is due to be removed shortly. First, you need to create a bucket in your S3. All functions of the Pro-product are available, except the JScript viewer and the support for stand alone mode. It makes requesting cloud computing resources as easy as either clicking a few buttons or making an API call. Amazon S3 with Python Boto3 Library Amazon S3 is the Simple Storage Service provided by Amazon Web Services (AWS) for object based file storage. I recommend collections whenever you need to iterate. Usage example: import tinys3 conn = tinys3. resource ('s3') S3. We want to make sure the objects are only accessible via S3 presigned URLs, and those are checked on the S3 side, not on CloudFront’s. You can find the latest, most up to date, documentation at our doc site, including a list of services that are supported. Bucket('my-bucket-name') maintenant, le seau contient le dossier first-level, qui lui-même contient plusieurs sous-dossiers nommés avec un horodatage, par exemple 1456753904534. resource('s3') bucket = s3. Using Boto3, you can do everything from accessing objects in S3, creating CloudFront distributions, and creating new VPC security groups. AWS_SERVER_SECRET_KEY ) I could then use S3 to perform my operations (in my case deleting an object from a bucket). What is boto3? Boto3 is AWS SDK for Python, which allows Python developers to write scripts/software that makes use of services like S3, EC2, etc. Installing boto3_wasabi allows you to continue to use AWS S3 with boto3 while being able to use Wasabi S3. Syntax: upload_file(Filename, Key, ExtraArgs=None, Callback=None, Config=None). Python - Download & Upload Files in Amazon S3 using Boto3. In order to use the AWS SDK for Python (boto3) with Wasabi, the endpoint_url has to be pointed at the appropriate service URL (for example s3. Here is a simple example of how to use the boto3 SDK to do it. At work I'm looking into the possibility of porting parts of our AWS automation codebase from Boto2 to Boto3. ) Example App. I’m writing this on 9/14/2016. You can use S3 to host your memories, documents, important files, videos and even host your own website from there! Join me in this journey to learn ins and outs of S3 to gain all the necessary information you need to work with S3 using Python and Boto3! Let's take a closer look at what we're going to cover in this course step-by-step. connection import Key, S3Connection S3 = S3Connection( settings. You can either make use of low-level client or higher-level resource declaration. boto3 offers a resource model that makes tasks like iterating through objects easier. Each obj # is an ObjectSummary, so it doesn't contain the body. I'm in the midst of rewriting a big app that currently uses AWS S3 and will soon be switched over to Google Cloud Storage. We use the unquote feature in sanitize_object_key() quite often to fix this and return workable file paths. Boto3 for Wasabi. They are extracted from open source Python projects. S3Boto3Storage to add a few custom parameters, in order to be able to store the user uploaded files, that is, the media assets in a different location and also to tell S3 to not override files. Use boto to upload directory into s3. py s3 = session. "S3 Browser is an invaluable tool to me as a web developer to easily manage my automated site backups" -Bob Kraft, Web Developer "Just want to show my appreciation for a wonderful product. Once we cover the basics, we'll dive into some more advanced use cases to really uncover the power of Lambda. client taken from open source projects. OK, I Understand. Also to get started you must have created your s3 bucket with aws, lets do a brief run through of that. At Wavycloud we use Amazon Web Services (AWS) to run our service and we use boto3 to manage and automate our infrastructure as well as using it in our Lambda microservices. client('s3') s3_client. /my-dataset s3://data_raw To list all the datasets in a S3 bucket one can use the command below: dtool ls s3://data_raw See the dtool documentation for more detail. The s3cmd tools provide a way to get the total file size using s3cmd du s3://bucket_name, but I'm worried about its ability to scale since it looks like it fetches data about every file and calculates its own sum. docx from COMPUTER S 101 at UFSCar. parse import unquote # Initialize a session using DigitalOcean Spaces. I am using the following code: s3 = session. Install Boto3 via PIP. Thanks, although my coding skills are not enough to understand how to "add some logic to deal with the specific s3 events". KeyId (string) --Specifies the ID of the AWS Key Management Service (KMS) master encryption key to use for encrypting Inventory reports. First, you need to create a bucket in your S3. It makes things much easier to. Here, you should substitute 'bucket_name' with the name of the bucket, 'key' with the path of the object in Amazon S3 and local_path with. Synchronize data to my own nodes or S3 bucket. Use aws s3 from the command-line. We will check if the environment variables for our key and secret are set. There are a couple of different reasons for this. Use boto to upload directory into s3. You can find the latest, most up to date, documentation at our doc site, including a list of services that are supported. To get around this, we can use boto3 to write files to an S3 bucket instead: import pandas as pd from io import StringIO import boto3 s3 = boto3. Introduction to AWS with Python and boto3 ¶. You can use S3 to host your memories, documents, important files, videos and even host your own website from there! Join me in this journey to learn ins and outs of S3 to gain all the necessary information you need to work with S3 using Python and Boto3! Let's take a closer look at what we're going to cover in this course step-by-step. However, the bad news is that it is quite …. Usage example: import tinys3 conn = tinys3. filter(Prefix. Also to get started you must have created your s3 bucket with aws, lets do a brief run through of that. I know of the IAM user, but it doesn't seem applicable (that I can see anyway) to my Glue job. 1Usage There are two backends for interacting with Amazon’s S3, one based on boto3 and an older one based on boto. 5 million keys to S3 every month. But I'm supposed to remove my credentials from this inst. Use Boto3 to upload and delete an object from an AWS S3 bucket using given credentials - s3boto. EC2 instances don't have a concept of an "owner". When using boto3 to talk to AWS the API's are pleasantly consistent, so it's easy to write code to, for example, 'do something' with every object in an S3 bucket:. If I can get the code working in boto, it is not only a workaround, but would suggest there is a boto3 problem. (The above methods and note are taken from boto3 doc, and there is a line saying that they are the same methods for different S3 classes. Amazon Web Services, or AWS for short, is a set of cloud APIs and computational services offered by Amazon. This example lists all the Amazon Simple Storage Service (Amazon S3) buckets in your account. get_credentials() In older versions of python (before Python 3), you will use a package called cPickle rather than pickle, as verified by this StackOverflow. s3 upload large files to amazon using boto Recently I had to upload large files (more than 10 GB) to amazon s3 using boto. Python is a great language to get started automating things in your cloud environments. resource('s3') print(s3. Written by Mike Taveirne, Field Engineer at DataRobot. You can use the existence of 'Contents' in the response dict as a check for whether the object exists. Create S3 Bucket with Boto3. To do that, you have couple of options with boto3. This makes life so much easier in case you wanted to migrate data from AWS S3 to Wasabi S3 to reduce your expenses. By continuing to use the site you are agreeing to our use of cookies. They are extracted from open source Python projects. If you want to learn the ins-and-outs of S3 and how to implement solutions with it, this course is for you. s3-python-example-create-bucket. Therefore, the majority of your tools and libraries that you currently use with Amazon S3, work as-is with Cloud Storage. We are going to use Python3, boto3 and a few more libraries loaded in Lambda Layers to help us achieve our goal to load a CSV file as a Pandas dataframe, do some data wrangling, and save the metrics and plots on report files on an S3 bucket. This is an example of how to make an AWS Lambda Snowflake database data loader. You can estimate the monthly cost based on approximate usage with this page. The S3 key can be found in the Accounts page under the Cluster List page. Boto is the Amazon Web Services (AWS) SDK for Python. Getting Started with Boto¶. You can use S3 to host your memories, documents, important files, videos and even host your own website from there! Join me in this journey to learn ins and outs of S3 to gain all the necessary information you need to work with S3 using Python and Boto3! Let’s take a closer look at what we’re going to cover in this course step-by-step. This topic explains how to access AWS S3 buckets by mounting buckets using DBFS or directly using APIs. Upload the data to S3. Put it simply, using boto3 you can programatically create, read, update and delete AWS resources. :param multipart_chunksize: The partition size of each part for a multipart transfer. In the resource list, choose the endpoint associated with the VPC subnet that has S3 connectivity issues. Installing boto3_wasabi allows you to continue to use AWS S3 with boto3 while being able to use Wasabi S3. Recommend:amazon web services - Use AWS lambda function to convert S3 file from zip to gzip using boto3 python function. For Access & Secret Access Keys. On previous code I would have a boto connection of each kind per thread (I use several services like S3, DynamoDB, SES, SQS, Mturk, SimpleDB) so it is pretty much the same thing. To copy a dataset from local disk (my-dataset) to a S3 bucket (/data_raw) one can use the command below: dtool copy.