#How to pip install pymongo

[nahaslearn]

How to pip install pymongo

#HOW TO PIP INSTALL PYMONGO HOW TO#

#HOW TO PIP INSTALL PYMONGO INSTALL#

Please help if this is the right way to do.

#HOW TO PIP INSTALL PYMONGO INSTALL#

In the documents suggested to "Enable the start task and add the command cmd /c "pip install azure-storage-blob pandas", so we have updated as cmd /c "pip install azure-storage-blob python" Do e.g pip install pymongo-3.3.0-cp35-cp35m-win32.whl Wheel(.whl) has all C depencies packed,no need to compile. Myclient = pymongo.MongoClient("mongodb://localhost:27017/") PyMongo has C depencies so to avoid this Installing from source on Windows Go here,when dowloaded your version. "Unable to cast object of type '.CloudAppendBlob' to type '.CloudBlockBlob'." Our requirement is to manipulate the collection data of Azure CosmosDB API for MongoDB, but this service has limitation from ADF so we are trying to do it with pymongo scripts to perform delete/update/truncate on cosmos collections.Īs per the suggested documents tried this approach and below is the error details: If you are interested in joining the VM program and help shape the future of Q&A: Here is how you can be part of Q&A Volunteer Moderators

#HOW TO PIP INSTALL PYMONGO HOW TO#

Want a reminder to come back and check responses? Here is how to subscribe to a notification Original posters help the community find answers faster by identifying the correct answer. Please don't forget to click on or upvote button whenever the information provided helps you. Using Azure batch services customer activity can run your script.Īzure functions and run Azure function usingĪs requirement is to run python from ADF, custom activity running in ADF will be better option.īelow documentation has detailed steps to Run Python Scripts through Azure data factory using Azure batch. You can leverage custom activity in Azure data factory to perform this task. So basically you are willing to run Python script from Azure data factory. PyMongo is a Python distribution containing tools for working with MongoDB, and is the recommended way to work with MongoDB from Python. Thanks for the ask and using Microsoft Q&A platform.

[hackersandslackers]

Starting a Flask Project with Heroku

Make development fun again

We all knew it would only be a matter of time before a blog full of Python junkies would touch on Python's fastest growing framework. Staying true to all that is Pythonic, Flask is a gift to developers who value the act of development. By minimizing level of effort and maximizing potential, Flask allows us to be as minimalist (or obnoxiously complex) as we want. Why Flask? Those of us who grew up loving Django have embraced Flask with a hint of disbelief, in that Flask is both shockingly simple and surprisingly powerful. Whereas the initial setup of a Django project could easily take hours, Flask's set up is merely a copy+paste of the following: from flask import Flask app = Flask(__name__) @app.route("/") def hello(): return "Hello World!" While it is entirely possible to create an entire flask application as one file, Flask is just as extensible as its predecessors, depending on the creator's will. Not only does this make Flask projects feel more expressive, as they are a reflection of the creator's development philosophy, but the simplicity is just plain fun. For those familiar with ExpressJS, I would be so bold as to say that Flask is even more simple than Express, in the best way possible. Why Heroku? Since we're on the topic of simplicity, it makes sense for us to deploy an exploratory project such as this one via a service which eliminates the DevOps aspect of web development completely. Configuring webservers, managing Linux packages, and supplying SSL certs are completely taken care of by Heroku. Development and Production environments are also obfuscated into pipelines, taking deployment hassles out of the equation. Did I mention Heroku can automatically deploy by syncing Github repositories and listening for commits? Perhaps most impressive is Heroku's concept of Elements . Heroku holds a "marketplace" of popular app dependancies ranging from databases to analytics, all of which can be configured to your app in a single click. Speaking of single-click, they handle single-click deployments, too. Create your Project Head over to Heroku and create your project on a fresh Dyno: this is an encapsulated instance which isn essentially your application. You'll be prompted to download the Heroku CLI on your OS of choice, which is quick and painless. Once installed, create an empty directory on your local machine and provide the following command to be prompted for your Heroku account credentials: $ heroku login Enter your Heroku credentials. Email: python@example.com Password: At this point, Heroku has already magically created a git repository for your application from which you'll be doing development from: $ git clone https://github.com/heroku/example-flask-project.git $ cd example-flask-project $ heroku create Creating example-flask-project in organization heroku... done, stack is cedar-14 http://example-flask-project.herokuapp.com/ | https://git.heroku.com/example-flask-project.git Git remote heroku added Now let's configure this thing. 2Easy4U Configuration We're going to go step-by-step to build out the most simply application configuration imaginable: example-flask-project ├── app.py ├── Procfile ├── Pipfile ├── Pipfile.lock ├── runtime.txt ├── requirements.txt ├── Pipfile.lock └── setup.py For the love of all that is holy, use pipenv to manage your packages. We'll need it. pip install pipenv pipenv shell Install your basic dependancies while in the shell: pip3 install flask gunicorn Awesome. Now let's build out the files in our tree one-by one. Procfile The Procfile (no file extension) is a unique file to Heroku which is essentially an build command. This will be a single-liner to tell gunicorn to startup our application from our base app.py file. web: gunicorn app:app A quick breakdown here: web is our process 'type'. other types exists, such as worker , urgentworker , and clock , but that's not important for now. app:app signifies looking for the 'app' module in our app.py file. If you'd like to move app.py to . a different folder down the line, this can be adjusted as such: web: gunicorn differentfolder app:app Runtime The runtime.txt file simply notifies Heroku of the language it's dealing with as well as the proper version. This is simple, because you can can only have one possible value here: python-3.6.6 Requirements.txt Think of this as Python's package.json for package dependencies. Keep this updated when you change your packages by entering the following in the pipenv shell: pip freeze > requirements.txt This will immediately all packages and their versions in the file, as such: asn1crypto==0.24.0 bcrypt==3.1.4 beautifulsoup4==4.6.0 blinker==1.4 cffi==1.11.5 click==6.7 cryptography==2.2.2 Flask==1.0.2 Flask-Assets==0.12 Flask-Login==0.4.1 Flask-Mail==0.9.1 flask-mongoengine==0.9.5 Flask-SQLAlchemy==2.3.2 Flask-Static-Compress==1.0.2 Flask-User==1.0.1.5 Flask-WTF==0.14.2 gunicorn==19.9.0 idna==2.7 itsdangerous==0.24 jac==0.17.1 Jinja2==2.10 MarkupSafe==1.0 mongoengine==0.15.0 ordereddict==1.1 passlib==1.7.1 pycparser==2.18 pymongo==3.7.0 rjsmin==1.0.12 six==1.11.0 SQLAlchemy==1.2.9 webassets==0.12.1 Werkzeug==0.14.1 WTForms==2.2.1 Pipfile Our Pipfile is automatically generated by Pipenv by default, but be sure to call out packages which are essential to the build our app as. This will rarely need to be updated manually: [[source]] url = "https://pypi.org/simple" verify_ssl = true name = "pypi" [packages] gunicorn = "*" flask = "*" requests = "*" wtforms = "*" flask_assets = "*" flask_static_compress = "*" [dev-packages] [requires] python_version = "3.6.6" Pipfile.lock Heroku looks at Pipfile.lock every time our app builds to know which packages to install on the server side. Changing dependancies locally without updating the pipfile.lock will not carry the changes over to your Dyno. Thus, be sure to generate this file when needed: pipenv lock Setup.py Just some general info. from setuptools import setup, find_packages setup( name='example-flask-project', version='1.0', long_description=__doc__, packages=find_packages(), include_package_data=True, zip_safe=False, install_requires=['Flask'], ) Deployment Running yourn app locally is as simple as two words: heroku local . This spins up an instance of your app at 0.0.0.0:5000. Deploying to your Heroku Dyno is much like deploying to Github (they can in fact be the exact same if you configure it as such). Here's how deployment via the Heroku CLI looks: git add . git commit -am 'initial commit' git push heroku master If all went well, your app should be live at the URL Heroku generated for you when you created your project. Go ahead and checkout the Heroku UI to see how things went. I highly suggest checking out the logs on the Heroku UI after each deploy. Often times issues which don't appear on your local environment will pop up on the server: Heroku's UI logs But Wait, There's More! While Flask's development may not be as vast as the NPM packages offered by Node, there's more or less a package for anything you possibly need. I'd recommend checking out Flask's official list of packages . While we may have set up our first Flask application, as it stands we've only built something useless so far. Consider this to be the beginning of many, many Flask tips to come.

- Todd Birchard

[toddbirchard-architect]

Starting a Flask Project with Heroku

Make development fun again

We all knew it would only be a matter of time before a blog full of Python junkies would touch on Python's fastest growing framework. Staying true to all that is Pythonic, Flask is a gift to developers who value the act of development. By minimizing level of effort and maximizing potential, Flask allows us to be as minimalist (or obnoxiously complex) as we want. Why Flask? Those of us who grew up loving Django have embraced Flask with a hint of disbelief, in that Flask is both shockingly simple and surprisingly powerful. Whereas the initial setup of a Django project could easily take hours, Flask's set up is merely a copy+paste of the following: from flask import Flask app = Flask(__name__) @app.route("/") def hello(): return "Hello World!" While it is entirely possible to create an entire flask application as one file, Flask is just as extensible as its predecessors, depending on the creator's will. Not only does this make Flask projects feel more expressive, as they are a reflection of the creator's development philosophy, but the simplicity is just plain fun. For those familiar with ExpressJS, I would be so bold as to say that Flask is even more simple than Express, in the best way possible. Why Heroku? Since we're on the topic of simplicity, it makes sense for us to deploy an exploratory project such as this one via a service which eliminates the DevOps aspect of web development completely. Configuring webservers, managing Linux packages, and supplying SSL certs are completely taken care of by Heroku. Development and Production environments are also obfuscated into pipelines, taking deployment hassles out of the equation. Did I mention Heroku can automatically deploy by syncing Github repositories and listening for commits? Perhaps most impressive is Heroku's concept of Elements . Heroku holds a "marketplace" of popular app dependancies ranging from databases to analytics, all of which can be configured to your app in a single click. Speaking of single-click, they handle single-click deployments, too. Create your Project Head over to Heroku and create your project on a fresh Dyno: this is an encapsulated instance which isn essentially your application. You'll be prompted to download the Heroku CLI on your OS of choice, which is quick and painless. Once installed, create an empty directory on your local machine and provide the following command to be prompted for your Heroku account credentials: $ heroku login Enter your Heroku credentials. Email: python@example.com Password: At this point, Heroku has already magically created a git repository for your application from which you'll be doing development from: $ git clone https://github.com/heroku/example-flask-project.git $ cd example-flask-project $ heroku create Creating example-flask-project in organization heroku... done, stack is cedar-14 http://example-flask-project.herokuapp.com/ | https://git.heroku.com/example-flask-project.git Git remote heroku added Now let's configure this thing. 2Easy4U Configuration We're going to go step-by-step to build out the most simply application configuration imaginable: example-flask-project ├── app.py ├── Procfile ├── Pipfile ├── Pipfile.lock ├── runtime.txt ├── requirements.txt ├── Pipfile.lock └── setup.py For the love of all that is holy, use pipenv to manage your packages. We'll need it. pip install pipenv pipenv shell Install your basic dependancies while in the shell: pip3 install flask gunicorn Awesome. Now let's build out the files in our tree one-by one. Procfile The Procfile (no file extension) is a unique file to Heroku which is essentially an build command. This will be a single-liner to tell gunicorn to startup our application from our base app.py file. web: gunicorn app:app A quick breakdown here: web is our process 'type'. other types exists, such as worker , urgentworker , and clock , but that's not important for now. app:app signifies looking for the 'app' module in our app.py file. If you'd like to move app.py to . a different folder down the line, this can be adjusted as such: web: gunicorn differentfolder app:app Runtime The runtime.txt file simply notifies Heroku of the language it's dealing with as well as the proper version. This is simple, because you can can only have one possible value here: python-3.6.6 Requirements.txt Think of this as Python's package.json for package dependencies. Keep this updated when you change your packages by entering the following in the pipenv shell: pip freeze > requirements.txt This will immediately all packages and their versions in the file, as such: asn1crypto==0.24.0 bcrypt==3.1.4 beautifulsoup4==4.6.0 blinker==1.4 cffi==1.11.5 click==6.7 cryptography==2.2.2 Flask==1.0.2 Flask-Assets==0.12 Flask-Login==0.4.1 Flask-Mail==0.9.1 flask-mongoengine==0.9.5 Flask-SQLAlchemy==2.3.2 Flask-Static-Compress==1.0.2 Flask-User==1.0.1.5 Flask-WTF==0.14.2 gunicorn==19.9.0 idna==2.7 itsdangerous==0.24 jac==0.17.1 Jinja2==2.10 MarkupSafe==1.0 mongoengine==0.15.0 ordereddict==1.1 passlib==1.7.1 pycparser==2.18 pymongo==3.7.0 rjsmin==1.0.12 six==1.11.0 SQLAlchemy==1.2.9 webassets==0.12.1 Werkzeug==0.14.1 WTForms==2.2.1 Pipfile Our Pipfile is automatically generated by Pipenv by default, but be sure to call out packages which are essential to the build our app as. This will rarely need to be updated manually: [[source]] url = "https://pypi.org/simple" verify_ssl = true name = "pypi" [packages] gunicorn = "*" flask = "*" requests = "*" wtforms = "*" flask_assets = "*" flask_static_compress = "*" [dev-packages] [requires] python_version = "3.6.6" Pipfile.lock Heroku looks at Pipfile.lock every time our app builds to know which packages to install on the server side. Changing dependancies locally without updating the pipfile.lock will not carry the changes over to your Dyno. Thus, be sure to generate this file when needed: pipenv lock Setup.py Just some general info. from setuptools import setup, find_packages setup( name='example-flask-project', version='1.0', long_description=__doc__, packages=find_packages(), include_package_data=True, zip_safe=False, install_requires=['Flask'], ) Deployment Running yourn app locally is as simple as two words: heroku local . This spins up an instance of your app at 0.0.0.0:5000. Deploying to your Heroku Dyno is much like deploying to Github (they can in fact be the exact same if you configure it as such). Here's how deployment via the Heroku CLI looks: git add . git commit -am 'initial commit' git push heroku master If all went well, your app should be live at the URL Heroku generated for you when you created your project. Go ahead and checkout the Heroku UI to see how things went. I highly suggest checking out the logs on the Heroku UI after each deploy. Often times issues which don't appear on your local environment will pop up on the server: Heroku's UI logs But Wait, There's More! While Flask's development may not be as vast as the NPM packages offered by Node, there's more or less a package for anything you possibly need. I'd recommend checking out Flask's official list of packages . While we may have set up our first Flask application, as it stands we've only built something useless so far. Consider this to be the beginning of many, many Flask tips to come.

- Todd Birchard Read post

[toddbirchard-architect]

Starting a Flask Project with Heroku

Make development fun again

We all knew it would only be a matter of time before a blog full of Python junkies would touch on Python's fastest growing framework. Staying true to all that is Pythonic, Flask is a gift to developers who value the act of development. By minimizing level of effort and maximizing potential, Flask allows us to be as minimalist (or obnoxiously complex) as we want. Why Flask? Those of us who grew up loving Django have embraced Flask with a hint of disbelief, in that Flask is both shockingly simple and surprisingly powerful. Whereas the initial setup of a Django project could easily take hours, Flask's set up is merely a copy+paste of the following: from flask import Flask app = Flask(__name__) @app.route("/") def hello(): return "Hello World!" While it is entirely possible to create an entire flask application as one file, Flask is just as extensible as its predecessors, depending on the creator's will. Not only does this make Flask projects feel more expressive, as they are a reflection of the creator's development philosophy, but the simplicity is just plain fun. For those familiar with ExpressJS, I would be so bold as to say that Flask is even more simple than Express, in the best way possible. Why Heroku? Since we're on the topic of simplicity, it makes sense for us to deploy an exploratory project such as this one via a service which eliminates the DevOps aspect of web development completely. Configuring webservers, managing Linux packages, and supplying SSL certs are completely taken care of by Heroku. Development and Production environments are also obfuscated into pipelines, taking deployment hassles out of the equation. Did I mention Heroku can automatically deploy by syncing Github repositories and listening for commits? Perhaps most impressive is Heroku's concept of Elements . Heroku holds a "marketplace" of popular app dependancies ranging from databases to analytics, all of which can be configured to your app in a single click. Speaking of single-click, they handle single-click deployments, too. Create your Project Head over to Heroku and create your project on a fresh Dyno: this is an encapsulated instance which isn essentially your application. You'll be prompted to download the Heroku CLI on your OS of choice, which is quick and painless. Once installed, create an empty directory on your local machine and provide the following command to be prompted for your Heroku account credentials: $ heroku login Enter your Heroku credentials. Email: python@example.com Password: At this point, Heroku has already magically created a git repository for your application from which you'll be doing development from: $ git clone https://github.com/heroku/example-flask-project.git $ cd example-flask-project $ heroku create Creating example-flask-project in organization heroku... done, stack is cedar-14 http://example-flask-project.herokuapp.com/ | https://git.heroku.com/example-flask-project.git Git remote heroku added Now let's configure this thing. 2Easy4U Configuration We're going to go step-by-step to build out the most simply application configuration imaginable: example-flask-project ├── app.py ├── Procfile ├── Pipfile ├── Pipfile.lock ├── runtime.txt ├── requirements.txt ├── Pipfile.lock └── setup.py For the love of all that is holy, use pipenv to manage your packages. We'll need it. pip install pipenv pipenv shell Install your basic dependancies while in the shell: pip3 install flask gunicorn Awesome. Now let's build out the files in our tree one-by one. Procfile The Procfile (no file extension) is a unique file to Heroku which is essentially an build command. This will be a single-liner to tell gunicorn to startup our application from our base app.py file. web: gunicorn app:app A quick breakdown here: web is our process 'type'. other types exists, such as worker , urgentworker , and clock , but that's not important for now. app:app signifies looking for the 'app' module in our app.py file. If you'd like to move app.py to . a different folder down the line, this can be adjusted as such: web: gunicorn differentfolder app:app Runtime The runtime.txt file simply notifies Heroku of the language it's dealing with as well as the proper version. This is simple, because you can can only have one possible value here: python-3.6.6 Requirements.txt Think of this as Python's package.json for package dependencies. Keep this updated when you change your packages by entering the following in the pipenv shell: pip freeze > requirements.txt This will immediately all packages and their versions in the file, as such: asn1crypto==0.24.0 bcrypt==3.1.4 beautifulsoup4==4.6.0 blinker==1.4 cffi==1.11.5 click==6.7 cryptography==2.2.2 Flask==1.0.2 Flask-Assets==0.12 Flask-Login==0.4.1 Flask-Mail==0.9.1 flask-mongoengine==0.9.5 Flask-SQLAlchemy==2.3.2 Flask-Static-Compress==1.0.2 Flask-User==1.0.1.5 Flask-WTF==0.14.2 gunicorn==19.9.0 idna==2.7 itsdangerous==0.24 jac==0.17.1 Jinja2==2.10 MarkupSafe==1.0 mongoengine==0.15.0 ordereddict==1.1 passlib==1.7.1 pycparser==2.18 pymongo==3.7.0 rjsmin==1.0.12 six==1.11.0 SQLAlchemy==1.2.9 webassets==0.12.1 Werkzeug==0.14.1 WTForms==2.2.1 Pipfile Our Pipfile is automatically generated by Pipenv by default, but be sure to call out packages which are essential to the build our app as. This will rarely need to be updated manually: [[source]] url = "https://pypi.org/simple" verify_ssl = true name = "pypi" [packages] gunicorn = "*" flask = "*" requests = "*" wtforms = "*" flask_assets = "*" flask_static_compress = "*" [dev-packages] [requires] python_version = "3.6.6" Pipfile.lock Heroku looks at Pipfile.lock every time our app builds to know which packages to install on the server side. Changing dependancies locally without updating the pipfile.lock will not carry the changes over to your Dyno. Thus, be sure to generate this file when needed: pipenv lock Setup.py Just some general info. from setuptools import setup, find_packages setup( name='example-flask-project', version='1.0', long_description=__doc__, packages=find_packages(), include_package_data=True, zip_safe=False, install_requires=['Flask'], ) Deployment Running yourn app locally is as simple as two words: heroku local . This spins up an instance of your app at 0.0.0.0:5000. Deploying to your Heroku Dyno is much like deploying to Github (they can in fact be the exact same if you configure it as such). Here's how deployment via the Heroku CLI looks: git add . git commit -am 'initial commit' git push heroku master If all went well, your app should be live at the URL Heroku generated for you when you created your project. Go ahead and checkout the Heroku UI to see how things went. I highly suggest checking out the logs on the Heroku UI after each deploy. Often times issues which don't appear on your local environment will pop up on the server: Heroku's UI logs But Wait, There's More! While Flask's development may not be as vast as the NPM packages offered by Node, there's more or less a package for anything you possibly need. I'd recommend checking out Flask's official list of packages . While we may have set up our first Flask application, as it stands we've only built something useless so far. Consider this to be the beginning of many, many Flask tips to come.

- Todd Birchard Read post