Firebase Cloud Firestore + Python FULL COURSE [NoSQL, Admin SDK, CRUD with Python]

Python Firebase Cloud Firestore: the Full Course. Python Firebase tutorials for complete beginners. Use the Firebase Admin SDK to work with Firebase Cloud Firestore and Python. With Firestore, Learn how to perform CRUD operations: Create, Read, Update, Delete.

Timestamps:
00:00:00 - Introduction
00:01:45 - Creating a new Firebase project
00:02:07 - Cloud Firestore vs. Realtime Database
00:04:00 - Project Overview & Creating the database
00:05:30 - NoSQL & data structure in Firestore
00:20:13 - Setting up Cloud Firestore with Python & Admin SDK
00:31:06 - Creating Data with Firestore
00:50:02 - Read Data with Firestore
01:02:33 - Update Data with Firestore
01:18:08 - Delete Data with Firestore

More Firebase info
Firebase is a NoSQL database. For more info:
NoSQL Databases Explained (2020): https://www.youtube.com/watch?v=9vBJfrZ8Pv8

Firebase Python FULL COURSE: Authentication, Storage, Realtime Database CRUD tutorials [pyrebase] https://youtu.be/s-Ga8c3toVY

Firebase Realtime database vs. Cloud Firestore: https://youtu.be/XY9XhZNtdY8

Firebase Realtime DB is a document-oriented NoSQL database, based on JSON document format. For more info:
Learn JSON in 12 minutes: https://www.youtube.com/watch?v=j_qJUGnd_sc

For suggestions or comments:
My email: code.first.io@gmail.com


Tags
Cloud Firestore
Python Firestore
Python Firestore tutorial
Python Firebase tutorial
Firebase Python tutorial
Firebase Python Course
Firebase Course
Firebase Authentication
Realtime Database tutorial

#python #cloud #firebase #firestore #nosql

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Buddha Community

Firebase Cloud Firestore + Python FULL COURSE [NoSQL, Admin SDK, CRUD with Python]

Firebase Cloud Firestore + Python FULL COURSE [NoSQL, Admin SDK, CRUD with Python]

Python Firebase Cloud Firestore: the Full Course. Python Firebase tutorials for complete beginners. Use the Firebase Admin SDK to work with Firebase Cloud Firestore and Python. With Firestore, Learn how to perform CRUD operations: Create, Read, Update, Delete.

Timestamps:
00:00:00 - Introduction
00:01:45 - Creating a new Firebase project
00:02:07 - Cloud Firestore vs. Realtime Database
00:04:00 - Project Overview & Creating the database
00:05:30 - NoSQL & data structure in Firestore
00:20:13 - Setting up Cloud Firestore with Python & Admin SDK
00:31:06 - Creating Data with Firestore
00:50:02 - Read Data with Firestore
01:02:33 - Update Data with Firestore
01:18:08 - Delete Data with Firestore

More Firebase info
Firebase is a NoSQL database. For more info:
NoSQL Databases Explained (2020): https://www.youtube.com/watch?v=9vBJfrZ8Pv8

Firebase Python FULL COURSE: Authentication, Storage, Realtime Database CRUD tutorials [pyrebase] https://youtu.be/s-Ga8c3toVY

Firebase Realtime database vs. Cloud Firestore: https://youtu.be/XY9XhZNtdY8

Firebase Realtime DB is a document-oriented NoSQL database, based on JSON document format. For more info:
Learn JSON in 12 minutes: https://www.youtube.com/watch?v=j_qJUGnd_sc

For suggestions or comments:
My email: code.first.io@gmail.com


Tags
Cloud Firestore
Python Firestore
Python Firestore tutorial
Python Firebase tutorial
Firebase Python tutorial
Firebase Python Course
Firebase Course
Firebase Authentication
Realtime Database tutorial

#python #cloud #firebase #firestore #nosql

Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Adaline  Kulas

Adaline Kulas

1594162500

Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

  • Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

  • Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

  • Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Deshawn  Fadel

Deshawn Fadel

1612334797

Firebase Cloud Firestore + Python FULL COURSE [NoSQL, Admin SDK, CRUD with Python]

Python Firebase Cloud Firestore: the Full Course. Python Firebase tutorials for complete beginners. Use the Firebase Admin SDK to work with Firebase Cloud Firestore and Python. With Firestore, Learn how to perform CRUD operations: Create, Read, Update, Delete.

Timestamps:

  • 00:00:00 - Introduction
  • 00:01:45 - Creating a new Firebase project
  • 00:02:07 - Cloud Firestore vs. Realtime Database
  • 00:04:00 - Project Overview & Creating the database
  • 00:05:30 - NoSQL & data structure in Firestore
  • 00:20:13 - Setting up Cloud Firestore with Python & Admin SDK
  • 00:31:06 - Creating Data with Firestore
  • 00:50:02 - Read Data with Firestore
  • 01:02:33 - Update Data with Firestore
  • 01:18:08 - Delete Data with Firestore

#firebase #python