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Definition of SQLAlchemy create_all

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Overview of SQLAlchemy create_all

There are options available to change this type of behavior in the sqlalchemy create_all method. We can use alter table command instead of the create_all method.

As we create all the tables by using the create_all method in sqlalchemy. Suppose we want to delete all the tables from the database we are using the drop_all method in sqlalchemy.

The sqlalchemy drop_all method is opposite to the method of create_all. Also, sqlalchemy drop_all method will first check whether the table exists in the database or not, if suppose it has found an existing table it will not drop the table. Suppose the sqlalchemy drop_all method has not found any table it will drop all the tables from the database.

This method is not used for creating a single table, it will be applied only for creating multiple tables into the database server.

Suppose we want to create a single table then we need to use create method in sqlalchemy.

The create method in the background of the database server will issue the create table command by default.

The autoIncrement in this method will refer to the DDL which was emitted from the column within our create table statement.

At the time of creating multiple tables into the database, we are using the sqlalchemy create_all method.

Suppose we want to create a single table into the database server then we are using the table. create method.

As per creating the table into the database insert statement will compile and insert the data into the table.

At the time of using the sqlalchemy create_all method on the column, there is no other construct that will be ascociated with it, this parameter will be ascociated with database-specific keywords.

How to use SQLAlchemy create_all?

To use the sqlalchemy create_all method we need to install the sqlalchemy package first in our system. Without installing this package we cannot use the same in our code.

Sqlalchemy module is not coming at the time of installing the python package in our system. To use sqlalchemy we need to install the sqlalchemy module by using the pip command. Below steps that show how to install the sqlalchemy module are as follows.

In the first step, we are installing the sqlalchemy module by using the pip command. We can install the sqlalchemy module in any operating system on which python is installed. In the below example, we are installing the sqlalchemy module.

pip install sqlalchemy

After installing all the modules we are opening the python shell by using the python3 command.

python3

After login into the python shell in this step, we are checking sqlalchemy package is installed in our system.

import sqlalchemy

After checking whether the sqlalchemy package is installed or not then we are importing the following modules by using the sqlalchemy package. We are importing the MetaData, create_engine, Column, Table, Integer, and string packages by using the sqlalchemy package as follows. We have imported all the modules while executing separate commands. We are importing all the modules by using the import keyword.

from sqlalchemy import MetaData from sqlalchemy import create_engine from sqlalchemy import Column from sqlalchemy import Table from sqlalchemy import Integer from sqlalchemy import String

5. After importing all the modules in this step we are giving the sqluri of the database server and also we are calling the create_engine method to create the table into the database server. Also, we are defining the MetaData for the SQL engine.

sql_uri = 'sqlite:///db.sqlite' sql_engine = create_engine (sql_uri) sql_meta = MetaData (sql_engine)

6. After defining the sql_uri and calling the create_engine method in this step we are creating the multiple tables. In the below example, we are creating two table names as sql_stud1 and sql_stud2 are as follows. In sql_stud1 we have to create the two column names as stud_id and stud_name also in sql_stud2 table we have to create two column names as stud_id and stud_addr.

sql_stud1 = Table ('EX1', sql_meta, Column ('stud_id', Integer, primary_key=True), Column ('stud_name', String)) sql_stud2 = Table ('EX2', sql_meta, Column ('stud_id', Integer, primary_key = True), Column ('stud_addr', String))

7. After creating the table we are calling the create_all method to create the table into the database server as follows.

sql_meta.create_all()

SQLAlchemy create_all Examples

Below is the example of the sqlalchemy create_all method in the below example we are creating three tables with the sqlalchemy create_all methods as follows. In the below example, we have imported the MetaData, create_engine, Column, Table, integer, and string modules.

After importing the module we are providing the database url and call the create_engine method then we are defining the MetaData method. Then we are creating the three tables by using the create_all method. At last we are calling the create_all method.

from sqlalchemy import MetaData from sqlalchemy import create_engine from sqlalchemy import Column from sqlalchemy import Table from sqlalchemy import Integer from sqlalchemy import String py_uri = 'sqlite:///db.sqlite' py_engine = create_engine (sql_uri) py_meta = MetaData (py_engine) stud1 = Table ('EX1', py_meta, Column ('stud_id', Integer, primary_key=True), Column ('stud_name', String)) stud2 = Table ('EX2', py_meta, Column ('stud_id', Integer, primary_key=True), Column ('stud_addr', String)) stud3 = Table ('EX3', py_meta, Column ('id', Integer, primary_key=True), Column ('addr', String)) py_meta.create_all ()

In the below example we are creating the single table by using the create_all method as follows.

Code –

Conclusion

Sqlalchemy create_all method will create the foreign key constraints by using tables at the time of creating the table definition. Sqlalchemy create_all method will create foreign key constraint at the time of creating table so it will generate an order of table as per dependency.

How To Use Sqlalchemy Connection?

Introduction to SQLAlchemy Connection

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What is the SQLAlchemy connection?

The Sqlalchemy connection is the library that can mainly interact with various databases. It enabled the data models and queries with the python classes and the statements. We can use the create_engine() method for the sqlalchemy library for connecting the URL and returning with the sqlalchemy engine referenced with both dialect and the Pool, which interpret along with the DBAPI’s module function with different behavior of the databases. We have successfully created the database connection for the databases like MySQL, Postgresql, Microsoft SQL, etc. The local instance of the database is designed for the sql databases and dialect with the drivers for establishing the connection.

How to use SQLAlchemy connection?

The sqlalchemy engine is created via the create_engine() method, and its call through the typical usage for the specific database URL through globally spent with the single server application process. A single-engine that manages the many individual DBAPI connections with the process is mainly intended to be the concurrent process. The engine is not synonymous with the DBAPI connect method. This function represents the database engine connection resource and efficiently creates the application module for every object or function call. It also uses a multi-tasking application. The process uses the basic system called for the python module like the multiprocessing module, and is usually required for the different engines along with the child process.

We can maintain the engine via the reference for the connection pool that ultimately references the DBAPI connections that tend to be portable across boundaries. An engine is configured to the polling achieved via the NullPool that matches the requirement. If the connection is the instance type, then the proxy object is mainly called for the actual DBAPI connection. It provides a largely compatible interface and the DBAPI cursor; the resulting proxy is used to connect the database drivers for the table rows and columns. The sqlalchemy engine connection has been established with the databases; it may be PostgreSQL, MySQL, SQLite, etc.

Here I have used SQLite database to create the engine and session to access the user data from the backend to UI.

SqlAlchemy connection Usage

A database like PyMySQL is the Python library that can be used to connect the MySQL database or other db servers that are already installed command like Pip install using pymysql command can be used to set it up environment. Because of the new way, the forma fields like passwords column can be worked on the previous form of the database like MySQL version 4.1, which is supported on the SQLAlchemy library that requires MySQL version 4.1 or higher version. Then additionally, if we need the statement type that can only be available with a specific version of MySQL, Oracle, or SQLite. The SQLAlchemy library does not give the proper way to use those statements on the database like MySQL and other database versions. In contrast, the statement isn’t available on the Result set. A proper validation rule should consult with the database documentation if a component or function in the SQLAlchemy does not appear in the work environment.

The general workflow of the sqlalchemy connection is the above diagram for calling the connect() method in the engine that shares the datas to the POOL and Dialect memory along with the DBAPIs database.

Examples of SQLAlchemy Connection

Different examples are mentioned below:

Example #1 import sqlalchemy as sa from chúng tôi import select import datetime metadata = sa.MetaData('sqlite:///Mar9.db', echo = True) print(“Connection Successfully”) varss = sa.Table('test3', metadata, sa.Column('id', sa.types.Integer, primary_key=True), sa.Column('date', sa.types.DateTime(timezone=True), default=datetime.datetime.utcnow) ) metadata.create_all() engs = metadata.bind today_dt = date.today() dtr_log = DailyTimeRecord.query.filter( func.date(DailyTimeRecord.time_in_am)==today_dt, DailyTimeRecord.staff_id==staff.id ).first() cnnection = engs.cnnectionect() outss = cnnection.execute(varss.insert().values(id=1)) s = select([varss]) outss = cnnection.execute(s) row = outss.fetchone()

Sample Output:

We have created the above example with the following steps.

First, we must import the sqlalchemy libraries like import sqlalchemy, datetime, etc.

Based on the concepts and requirements, we have to import the libraries.

Next, we import and set the database in the Metadata classes.

metadata = sa.MetaData(‘sqlite:///Mar9.db’, echo = True)

We created the table in the specific database called Mar9.db

With the help of the instance, we can call and create the table columns like id, date, etc.

The data type of the id should be the integer, and the date should be the datetime type.

The engine is called with the help of variables and executes the default methods like execute(), insert(), etc.

Insert() method is used to insert the values in the table

Execute() method helps execute the query in the table result set.

Example #2 from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from chúng tôi import sessionmaker engine = create_engine('sqlite:///D:/Mar9.db') Session = sessionmaker(bind=engine) print("Connection successfully") Base = declarative_base() class clsfrdst(Base): __tablename__ = 'test4' id = Column(Integer, primary_key = True) name = Column(String) class scclss(Base): __tablename__ = 'secndtble' id = Column(Integer, primary_key = True) invid = Column(Integer, ForeignKey('test5.id')) fts = relationship("clsfrdst", back_populates = "secndtble") clsfrdst.secndtble = relationship("scclss", order_by = chúng tôi back_populates = "fts") Base.metadata.create_all(engine)

Sample Output:

The above examples we used to create the database engine connections first

And then, we created the databases and their tables using the python classes.

Which has already been imported on the sqlalchemy functions and its libraries

We created the table columns like id as the integer attribute and acted as the primary key to perform the unique operations in the backend.

The other column, like invid, also an integer, acts as the Foreign key to fetch the table data from the previous table reference.

Here we can perform the database relationship from one table to another table data by using the primary key and foreign key concepts.

The metadata references hold all other tables, especially the classes that contain the DBAPIs relationship for more than one table.

Conclusion

The database engine connections are the most important way to perform the user operations from the UI view to the backend. Here is the sqlalchemy python-based library that can be supported to create the database tables with required columns and perform the user operations, which depends on the project requirements.

How To Use Pizza Gpt?

PizzaGPT is a newly developed platform for users in Italy, offering ChatGPT-like features, but with improved security features. It was developed in response to the ban of ChatGPT by the Italian government, leaving Italian users with no alternative for AI-driven text generation tools. The platform has gained significant traction in Italy, and in this guide, we will explore what PizzaGPT is, how it works, and how to use it.

PizzaGPT is a ChatGPT clone that promises a more secure platform for AI-driven text generation. It is accessible to all Italian residents without any restrictions and uses ChatGPT APIs to deliver its responses to user queries. The platform is similar to ChatGPT in many ways, but the primary difference is that PizzaGPT doesn’t store user data. This change was made to address the primary concern of privacy, which was a significant concern with ChatGPT.

Developed by an Italian software developer using ChatGPT APIs, PizzaGPT is built on Open AI’s Turbo 3.5 model. The platform uses Nuxt 3, Tailwind, and Daisy UI, and its user interface is similar to ChatGPT.

One of the main selling points of PizzaGPT is its privacy policy. Unlike ChatGPT, PizzaGPT does not store user data and promises not to collect its users’ information. This means that users can ask their questions without worrying about their personal data being collected or shared.

Also read: What Is PizzaGPT And How Does It Work

PizzaGPT is powered by Open AI’s Turbo 3.5 model, which makes it an effective AI-driven text generation tool. The platform’s user interface is similar to ChatGPT, with a chat bar at the bottom of its official website. Users can enter any question in the chat bar and hit enter to view the results.

PizzaGPT’s responses are similar to ChatGPT’s and are accurate most of the time, but users may encounter errors or irrelevant responses sometimes. The platform is accessible on all devices, including tablets, PCs, and mobile phones, making it an accessible tool for all Italian users.

It is pretty simple to use Pizza GPT app on your devices. You can go to the main webpage of Pizza GPT and start your conversations by asking questions. There is no need to sign up or enter your email address or anything. And it is completely free to use.

You can even download and use Pizza GPT on your smartphones. Follow the steps given below to access Pizza GPT on your smartphone.

Tap on the “Add to home” option.

The name and icon will automatically be added, simply press ‘Add’.

You will find the Pizza GPT shortcut on your home screen.

The primary difference between ChatGPT and PizzaGPT is that PizzaGPT is more transparent regarding user privacy. It doesn’t collect any user information, making it a more secure platform for AI-driven text generation. Here are a few other factors distinguishing PizzaGPT from ChatGPT:

PizzaGPT doesn’t offer GPT-4 since it would require more tokens, and the app cost would increase.

PizzaGPT doesn’t remember previous questions and can only process the current query.

The response time for PizzaGPT is faster than that of ChatGPT.

PizzaGPT offers more accurate responses and can generate text in multiple languages.

The Italian data protection agency has temporarily banned ChatGPT and has given Open AI 20 days to address privacy concerns. Open AI’s CEO, Sam Altman, tweeted that he would resolve this issue soon and get the app back for its Italian users. Although there isn’t any official news regarding ChatGPT being permanently banned in Italy, Italian users can still use ChatGPT with a VPN.

PizzaGPT was developed in response to the ban of ChatGPT in Italy by an independent developer to allow Italian users to continue to use AI-driven text generation tools.

Unlike ChatGPT, PizzaGPT is created and managed by an Italian developer who refuses to disclose his identity.

Every time someone asks a question PizzaGPT, it means spending a few cents on the API. There are currently thousands of users using PizzaGPT. Donations are just a way to try to cover expenses and keep the project going.

How To Use Chatgpt 3?

Welcome to our comprehensive guide on how to use ChatGPT 3! In this article, we will walk you through the process of getting started with ChatGPT, exploring its capabilities, and providing you with useful tips to enhance your experience. Whether you’re a first-time user or someone looking to delve deeper into the world of artificial intelligence conversation models, this guide has got you covered! We are going to discuss how to use ChatGPT 3 to get you started.

Also read: Chat GPT 3 Login: How to Access Your Account and Get Started

ChatGPT-3, short for “Chat Generative Pre-trained Transformer 3,” is a language model developed by OpenAI. It belongs to the GPT-3.5 architecture and is designed to generate human-like text based on user input. This state-of-the-art AI model can comprehend and respond to natural language, making it an exceptional tool for conversational purposes.

ChatGPT-3 operates on a massive neural network trained on a diverse range of internet text data. With an impressive 175 billion parameters, it has the capacity to understand and generate text with remarkable fluency. It utilizes a transformer-based architecture, enabling it to process and comprehend complex patterns within language.

The model consists of an encoder and a decoder. The encoder receives input from the user, encoding it into a representation that the model can understand. The decoder then uses this representation to generate a response. Through numerous iterations of training and fine-tuning, ChatGPT-3 has achieved remarkable fluency and coherence in generating text.

GPT-3 is a sophisticated language model that operates based on a transformer architecture. It is pre-trained on a massive corpus of text data, allowing it to learn patterns, grammar, and contextual relationships within language. This pre-training phase equips GPT-3 with a vast knowledge base and linguistic intuition. When given a prompt, GPT-3 uses its learned knowledge to generate coherent and contextually relevant responses. Through a process called “unsupervised learning,” GPT-3 continually refines its understanding of language by analyzing vast amounts of text data. However, it is important to note that GPT-3 lacks true consciousness or awareness and relies solely on patterns in data for its responses. Users must exercise caution when interpreting its outputs and be aware of potential biases or inaccuracies that may arise.

GPT-3 is an autoregressive language model that uses deep learning to produce human-like text. Here are some ways to use GPT-3:

To use GPT-3, you need to create an account on the OpenAI website. Follow these steps to get started:

Visit the OpenAI website.

Fill in the required information to create your account.

Once your account is created, you can log in and start using GPT-3.

To use GPT-3 effectively, you will need to enter a prompt so that it knows what text it should complete in response. Here are a few examples of prompts:

“List five names for a small pet dog.”

“Write a short story about a detective solving a mysterious crime.”

“Compose a poem about love and loss.”

GPT-3 will generate text based on the provided prompt, so make sure to give clear instructions or provide the necessary context.

One of the fascinating aspects of GPT-3 is its ability to generate creative and diverse text based on different prompts. You can experiment with various ideas and prompts to see what kind of responses you get. Try different sentence structures, styles, or even languages to explore the full potential of GPT-3.

If you’re using the OpenAI Playground, it’s essential to keep track of your credits to avoid running out. Here’s how you can do it:

Go to the billing section or credit dashboard.

Monitor your credit usage and balance regularly.

Refill your credits if necessary to continue using GPT-3 without interruptions.

OpenAI offers different GPT models, each with its own unique capabilities and specialties. If you want to try something new or explore specific areas of interest, you can switch to a different GPT model. Some models are designed for specific tasks like code generation or translation, so choose the one that best suits your needs.

To get the best possible results with GPT-3, you can fine-tune your prompts and experiment with different settings. Here are a few tips to improve your outcomes:

Make your prompts more explicit and specific.

Adjust the temperature parameter to control the randomness of the generated text.

Increase or decrease the maximum response length as per your requirements.

By tweaking these settings, you can tailor the output to better match your desired outcome.

If you want to try GPT-3 for free, you need to verify your email address and phone number. This verification process ensures that each user has a valid account and helps prevent abuse of the system. Once your email address and phone number are verified, you can access the free credits and start using GPT-3.

GPT-3, short for Generative Pre-trained Transformer 3, is a cutting-edge language model developed by OpenAI. It has revolutionized natural language processing by showcasing remarkable capabilities in generating human-like text. GPT-3 can comprehend and generate coherent responses in a wide range of topics, making it highly versatile. Its ability to understand context and generate contextually relevant text has allowed it to perform tasks such as language translation, text completion, and even creative writing. GPT-3’s vast size, with 175 billion parameters, enables it to generate detailed and accurate responses, making it an invaluable tool for various applications.

How To Use Google 2

Most of us use Gmail as our primary email service. So, to gain access to most of our sensitive information, a hacker is likely to launch an attack on Gmail first. Setting a virtually unhackable password is the first step towards immunity.

However, if that password gets compromised somehow, we must come up with a failsafe; one which would keep the hackers at bay. And that is exactly where Google’s two-step verification comes in.

RELATED: How to set up Google 2-step verification

Google’s Two-Step Verification asks you to verify your new Gmail login on your phone, even after entering the correct password. So, as long as you don’t lose your phone and password simultaneously, your account won’t be compromised.

This second step can be a simple Google prompt on your screen, a text message, a call, or even a security key. So, make sure you think long and hard before picking the most convenient option for you. In this piece, we’ll take an in-depth look at Google’s Two-Step Verification, and tell you how to make the most of the useful service.

Use Google Authenticator App

Google Authenticator is a free application that securely generates Two-Step Verification codes on your Android smartphone. No more waiting around for text messages to arrive, simply use the Authenticator app to complete signing in to Google or other supported accounts.

Even after setting Google Prompts/Call/Text/Secure key as your secondary login method, you can configure the Google Authenticator app as your backup.

Here’s how to set it up:

Step 1: Go to Settings and tap on Google.

Step 2: Tap on Manage your Google account.

Step 3: Go to Menu.

Step 4: Open Security.

Step 5: Tap on Two-Step Verification.

Step 6: Enter your password to access the 2-Step Verification menu.

Step 7: After scrolling down and locating Authenticator App, tap on Set Up.

Step 8: Select Android and tap Next.

Step 9: A barcode will be displayed. If you’re carrying out the entire process on your phone, tap on “Can’t Scan it?” to get a code.

Step 10: Download the app from the Google Play Store.

Step 11: Open the app and go to Scan a barcode. If you are setting this up on your phone, go to Enter a provided key.

Step 12: Enter your email-id alongside the key retrieved (step 9) from Google. Make sure Time-based is selected.

Step 13: Tap on Add.

Step 14: Copy the six-digit code displayed there.

Step 15: Go back to Google Settings, and tap on Next.

Step 16: Enter the six-digit code you copied and tap on Verify.

Step 17: Press Done to finish linking the Authenticator app to your Google account.

Your account would be added. As the codes change quite frequently (Time-based), no need to memorize the codes. Just head over to the add and copy the codes when needed.

Revoke Trusted Device

Losing a device that has access — your laptop for example — to all your login credentials is a nightmare. Not only is the perpetrator getting your valuable possession, but they can also access all your important emails and social media accounts.

Most of us use autofill to simplify the process of signing in. Google’s Two-Step Verification does require an additional step, but it only requires the password in case of trusted devices — devices, which have been used to log in successfully in the past. So, a trusted device with the auto sign-in turned on is a weapon of destruction in the wrong hands. Thankfully, Google has thought about this unfortunate scenario as well. In case your laptop gets stolen, you can head over to settings and revoke the permission for trusted devices.

Step 1: Go to Settings and tap on Google.

Step 2: Tap on Manage your Google account.

Step 3: Go to Menu.

Step 4: Tap on Security.

Step 5: Locate and tap on Two-Step Verification.

Step 6: Enter your password to access Two-Step Verification settings.

Step 7: Scroll down and tap on Revoke all under Devices you trust.

Change Phone Number

If Google Prompts or the Authenticator app isn’t your cup of tea, Google lets you go back to the good old days of text/call-based verification. Simply add the number of your choice, and Google will send a text or make a call with the verification code. Enter the code and the number will be linked with your Google account. If you’ve recently changed your number, you’ll have to link the new number with your Google account to continue enjoying the benefits of Two-Step Verification.

Step 1: Go to Settings and tap on Google.

Step 2: Tap on Manage your Google account.

Step 3: Go to Menu.

Step 4: Tap on Security.

Step 5: Locate and tap on Two-Step Verification.

Step 6: Tap on the little pencil icon (Edit) on the right side of your phone number.

Step 7: Tap on Change phone.

Step 8: Add the new number and tap on Next.

Step 9: Enter the verification code to complete the process.

Similarly, you could also delete your phone verification process by tapping on Delete phone.

How To Use A Third

But there’s a way out! I recently found a workaround while setting up my Dell’s mouse, and now, it seamlessly runs all the macOS gestures. Let me show you how to properly set up a third-party mouse (like Dell, HP, or Lenovo) and get those smart gestures on it.

How to connect a wireless mouse to Mac

First of all, let’s get your mouse connected to your Mac. Don’t worry. Even if the packaging of your mouse says ‘compatible with Windows,’ there are high chances that the mouse will work with your Mac.

There are two types of wireless mouse in the market: one with Bluetooth, and the other with a 2.4GHz wireless USB connector.

Tweak the basic mouse settings on Mac

Once you’ve connected the mouse to your Mac, tweak the settings as per your preference. After all, the mouse is the one that lets you navigate macOS.

1. Turn off Natural Scrolling

First of all, you’ll need to tweak the ‘Scrolling’ settings. You must have noticed that once you connect a mouse to a Mac, moving the wheel up and down does the opposite of what you want it to do. This is because, on a Mac, you’re used to using the two-fingers swipe-up gesture to move a website or a page in the downwards direction.

However, when using a mouse, moving the wheel in the backward direction feels natural. You need to disable Natural Scrolling to stop this from happening.

To do this:

Go to System Preferences.

Select Mouse settings.

Uncheck Scroll Direction: Natural.

macOS lets you set different speeds for controlling your mouse:

3. Turn on Spring Loading

I’m sure you’re aware of the feature when you hold a file over a folder, and the folder opens. Well, Apple has disabled this gesture with the third-party mouse by default.

To enable, go to System Preferences → Accessibility → Pointer Control → Mouse & Trackpad → turn on Spring Loading. The shorter the Spring Loading delay, the faster the folder will open when you hover a file over it.

Use Mac Trackpad gestures with a regular mouse

One of the limitations of using a third-party mouse with a Mac is that you don’t get to use the Mac trackpad gestures, such as three-finger swipe to switch windows or three-finger swipe up to open Mission Control.

Worry not! Using a third-party tool called xGestures, you can use some of the Mac trackpad gestures with your regular mouse as well. Follow these steps:

You can now go ahead and use the three-finger gesture on your Mac with the mouse. I’ve attached a GIF above to show how it works. (I’m holding the middle button while performing these gestures.)

Note: The service might get killed abruptly due to macOS background processes. Just go to System Preferences → xGestures → Options → Start xGestures to re-enable it.

With this guide, I hope you’re able to use a third-party mouse on Mac and run all the trackpad gestures.

If you want to create your own AppleScripts to mimic Mac trackpad gestures, you can do so. Just copy the files given above and change the keycode and gesture action. You can find here the keycodes for Mac’s keyboard.