#proc sql

[greatonlinetrainingsposts]

Mastering Data Wrangling in SAS: Best Practices and Techniques

Data wrangling, also known as data cleaning or data preparation, is a crucial part of the data analysis process. It involves transforming raw data into a format that's structured and ready for analysis. While building models and drawing insights are important tasks, the quality of the analysis often depends on how well the data has been prepared beforehand.

For anyone working with SAS, having a good grasp of the tools available for data wrangling is essential. Whether you're working with missing values, changing variable formats, or restructuring datasets, SAS offers a variety of techniques that can make data wrangling more efficient and error-free. In this article, we’ll cover the key practices and techniques for mastering data wrangling in SAS.

1. What Is Data Wrangling in SAS?

Before we dive into the techniques, it’s important to understand the role of data wrangling. Essentially, data wrangling is the process of cleaning, restructuring, and enriching raw data to prepare it for analysis. Datasets are often messy, incomplete, or inconsistent, so the task of wrangling them into a clean, usable format is essential for accurate analysis.

In SAS, you’ll use several tools for data wrangling. DATA steps, PROC SQL, and various procedures like PROC SORT and PROC TRANSPOSE are some of the most important tools for cleaning and structuring data effectively.

2. Key SAS Procedures for Data Wrangling

SAS offers several powerful tools to manipulate and clean data. Here are some of the most commonly used procedures:

- PROC SORT: Sorting is usually one of the first steps in data wrangling. This procedure organizes your dataset based on one or more variables. Sorting is especially useful when preparing to merge datasets or remove duplicates.

- PROC TRANSPOSE: This procedure reshapes your data by converting rows into columns or vice versa. It's particularly helpful when you have data in a "wide" format that you need to convert into a "long" format or vice versa.

- PROC SQL: PROC SQL enables you to write SQL queries directly within SAS, making it easier to filter, join, and aggregate data. It’s a great tool for working with large datasets and performing complex data wrangling tasks.

- DATA Step: The DATA step is the heart of SAS programming. It’s a versatile tool that allows you to perform a wide range of data wrangling operations, such as creating new variables, filtering data, merging datasets, and applying advanced transformations.

3. Handling Missing Data

Dealing with missing data is one of the most important aspects of data wrangling. Missing values can skew your analysis or lead to inaccurate results, so it’s crucial to address them before proceeding with deeper analysis.

There are several ways to manage missing data:

- Identifying Missing Values: In SAS, missing values can be detected using functions such as NMISS() for numeric data and CMISS() for character data. Identifying missing data early helps you decide how to handle it appropriately.

- Replacing Missing Values: In some cases, missing values can be replaced with estimates, such as the mean or median. This approach helps preserve the size of the dataset, but it should be used cautiously to avoid introducing bias.

- Deleting Missing Data: If missing data is not significant or only affects a small portion of the dataset, you might choose to remove rows containing missing values. This method is simple, but it can lead to data loss if not handled carefully.

4. Transforming Data for Better Analysis

Data transformation is another essential part of the wrangling process. It involves converting or modifying variables so they are better suited for analysis. Here are some common transformation techniques:

- Recoding Variables: Sometimes, you might want to recode variables into more meaningful categories. For instance, you could group continuous data into categories like low, medium, or high, depending on the values.

- Standardization or Normalization: When preparing data for machine learning or certain statistical analyses, it might be necessary to standardize or normalize variables. Standardizing ensures that all variables are on a similar scale, preventing those with larger ranges from disproportionately affecting the analysis.

- Handling Outliers: Outliers are extreme values that can skew analysis results. Identifying and addressing outliers is crucial. Depending on the nature of the outliers, you might choose to remove or transform them to reduce their impact.

5. Automating Tasks with SAS Macros

When working with large datasets or repetitive tasks, SAS macros can help automate the wrangling process. By using macros, you can write reusable code that performs the same transformations or checks on multiple datasets. Macros save time, reduce errors, and improve the consistency of your data wrangling.

For example, if you need to apply the same set of cleaning steps to multiple datasets, you can create a macro to perform those actions automatically, ensuring efficiency and uniformity across your work.

6. Working Efficiently with Large Datasets

As the size of datasets increases, the process of wrangling data can become slower and more resource-intensive. SAS provides several techniques to handle large datasets more efficiently:

- Indexing: One way to speed up data manipulation in large datasets is by creating indexes on frequently used variables. Indexes allow SAS to quickly locate and access specific records, which improves performance when working with large datasets.

- Optimizing Data Steps: Minimizing the number of iterations in your DATA steps is also crucial for efficiency. For example, combining multiple operations into a single DATA step reduces unnecessary reads and writes to disk.

7. Best Practices and Pitfalls to Avoid

When wrangling data, it’s easy to make mistakes that can derail the process. Here are some best practices and common pitfalls to watch out for:

- Check Data Types: Make sure your variables are the correct data type (numeric or character) before performing transformations. Inconsistent data types can lead to errors or inaccurate results.

- Be Cautious with Deleting Data: When removing missing values or outliers, always double-check that the data you're removing won’t significantly affect your analysis. It's important to understand the context of the missing data before deciding to delete it.

- Regularly Review Intermediate Results: Debugging is a key part of the wrangling process. As you apply transformations or filter data, regularly review your results to make sure everything is working as expected. This step can help catch errors early on and save time in the long run.

Conclusion

Mastering data wrangling in SAS is an essential skill for any data analyst or scientist. By taking advantage of SAS’s powerful tools like PROC SORT, PROC TRANSPOSE, PROC SQL, and the DATA step, you can clean, transform, and reshape your data to ensure it's ready for analysis. 

Following best practices for managing missing data, transforming variables, and optimizing for large datasets will make the wrangling process more efficient and lead to more accurate results. For those who are new to SAS or want to improve their data wrangling skills, enrolling in a SAS programming tutorial or taking a SAS programming full course can help you gain the knowledge and confidence to excel in this area. With the right approach, SAS can help you prepare high-quality, well-structured data for any analysis.

[acquaintsofttech]

A Behind-the-Scenes Look at a Laravel Security Audit

Introduction

Laravel is one of the most popular PHP frameworks, and it is likely to continue to be that way for some time to come. There are many reasons why this is so, like its syntax, robust features, scalability, and, most of all, its high level of security.

Security remains a paramount concern for developers and businesses alike, irrespective of the selection of technology. Laravel, like any other framework, is not immune to security threats.

Conducting an in-depth security audit for a Laravel application involves a comprehensive review of various security aspects to ensure the application is robust and secure.

Security breaches can have devastating consequences for businesses, including data theft, financial loss, and reputation damage. This blog offers a detailed behind-the-scenes look at the process of conducting a Laravel security audit.

What is Laravel Security Audit?

A Laravel security audit systematically examines an application for potential vulnerabilities, misconfigurations, and adherence to security best practices. It ensures that the application aligns with industry standards, such as OWASP Top 10, and safeguards sensitive data. Securing web applications is critical in today's environment of rising cyber threats. Regular security audits are essential to ensure comprehensive protection.

One can assess the application security via a Laravel Security Audit. It helps in evaluating a Laravel application to identify and address vulnerabilities and potential risks that could compromise its security. The audit ensures the application adheres to best practices, protecting sensitive data and preventing cyberattacks.

The main goals of a Laravel Security Audit:

Identify Laravel Vulnerabilities: Detect security flaws such as SQL injections, XSS attacks, or weak authentication.

Enhance Security Measures: Reinforce built-in Laravel security features with additional safeguards.

Ensure Compliance: Meet legal and industry standards (e.g., GDPR, HIPAA, PCI-DSS).

Maintain User Trust: Protect user data and preserve application integrity.

A Laravel Security Audit is essential for maintaining a secure, compliant, and trustworthy application. It systematically uncovers vulnerabilities and ensures your application is fortified against modern threats. An official Laravel partner will have skilled developers and the necessary resources to deliver top-notch solutions. Acquaint Softtech is one such Laravel development company.

We have over 10 years of experience delivering feature-rich and secure Laravel applications. We are a software development outsourcing company in India with a dedicated team of Laravel developers.

Laravel Security Protocols

Laravel prioritizes security by incorporating several protocols and best practices to protect web applications from vulnerabilities. This is further verified after the release of version 11, where many more security features were introduced. Below is a comprehensive overview of Laravel's security protocols:

Authentication and Authorization

Protection Against SQL Injection

Cross-Site Scripting (XSS) Protection

Cross-Site Request Forgery (CSRF) Protection

Secure File Uploads

Data Encryption

Session Security

HTTPS and HSTS

API Security

Error and Exception Handling

Secure Storage of Environment Variables

Dependency Management

Disable Unused Features

Logging and Monitoring

Common Laravel Security Audit Issues

Laravel is a secure PHP framework. However, it is not uncommon for security vulnerabilities to develop as a result of bad configuration or improper usage of a feature. Some of the common issues found during Laravel security audits include:

Insufficient input validation

Missing subresource integrity (SRI)

Insufficient rate limiting

Cross-site scripting (XSS)

Outdated & vulnerable dependencies

Insecure function use

Missing security headers

Missing content security policy (CSP)

Missing authorization

Exposed API keys & passwords

Security Audit Process

Set up the Scope of the Audit: The first step in a Laravel security audit is defining its scope. This includes:

Identifying Critical Areas:

Authentication and authorization mechanisms

Input validation and sanitization

Application and server configuration

Data encryption and storage

API endpoints and integration

Understanding the Application Architecture:

Documenting the architecture and dependencies

Mapping data flow within the application

Determining the Audit Type:

Black-box testing: Testing without access to the source code.

White-box testing: Testing with full access to the source code.

Gray-box testing: A combination of both approaches.

Setting Goals:

Identify and mitigate Laravel vulnerabilities.

Ensure compliance with legal and regulatory requirements.

Establish a baseline for ongoing security practices.

Reviewing the Laravel Environment Configuration:

Laravel's .env file is critical for managing environment-specific configurations, but it can also become a security risk if misconfigured.

Checklist for Environment Configuration:

Ensure the .env file is not accessible publicly. Misconfigured servers can expose this file, revealing sensitive credentials.

Use strong, randomly generated application keys (APP_KEY) to secure sessions and encrypted data.

Disable debugging mode (APP_DEBUG=false) in production environments to prevent sensitive information exposure.

Tools Used:

Manual inspection of configuration files

Automated tools like Laravel DebugBar for debugging issues

Examining Authentication and Authorization:

Authentication and authorization mechanisms are the backbone of application security. A robust implementation minimizes the risk of unauthorized access.

Authentication:

Verify the implementation of Laravel’s built-in authentication scaffolding.

Ensure secure password hashing using bcrypt or Argon2.

Enforce strong password policies and implement multi-factor authentication (MFA) if possible.

Authorization:

Review roles and permissions using Laravel policies and gates.

Check for privilege escalation vulnerabilities.

Session Security:

Use HTTPS to secure cookies.

Enable SameSite and HttpOnly attributes for cookies.

Configure session timeouts and token regeneration.

Tools Used:

Manual code review

Laravel’s built-in Auth and Gate facades for validation

Input Validation and Data Sanitization:

Unvalidated or unsanitized user input is a leading cause of security vulnerabilities, including SQL injection, XSS, and command injection.

Best Practices:

Validation Rules:

Use Laravel’s request validation methods ($request->validate) to ensure inputs meet specified criteria.

Avoid custom validation where built-in methods suffice.

Sanitization:

Escape output using Laravel’s Blade templating engine ({{ $variable }}) to prevent XSS.

Use e() for escaping dynamic content in non-Blade contexts.

SQL Injection Prevention:

Use Laravel’s query builder or Eloquent ORM to avoid directly executing raw queries.

Parameterize queries to eliminate injection risks.

File Upload Security:

Restrict allowed file types.

Store uploaded files outside the web root.

Validate file size and sanitize file names.

Tools Used:

OWASP ZAP for input validation testing

Laravel-specific tools like Larastan for static analysis

Reviewing Encryption and Data Storage Practices:

Sensitive data such as passwords, tokens, and personal information must be encrypted at rest and in transit.

Encryption:

Ensure sensitive data is encrypted using Laravel’s Crypt facade.

Use secure algorithms like AES-256 for encryption.

Database Security:

Use prepared statements and ORM to protect against SQL injection.

Regularly update database credentials and use role-based access control (RBAC) for database users.

Logs:

Avoid logging sensitive information in production.

Rotate logs periodically to prevent unauthorized access.

Tools Used:

Laravel’s encryption and hashing tools

Database auditing tools like MySQL Enterprise Audit

Analyzing API Security:

APIs are a common attack vector and require careful attention during a security audit.

Key Areas to Examine:

Authentication:

Use token-based authentication (e.g., Laravel Passport or Sanctum).

Secure API tokens using strong hashing algorithms.

Rate Limiting:

Protect against brute force attacks using Laravel’s rate-limiting middleware.

Input Validation:

Validate and sanitize all API inputs to prevent injection attacks.

CORS Policies:

Restrict origins to trusted domains using Laravel’s CORS middleware.

Error Handling:

Ensure error responses do not expose sensitive information.

Tools Used:

Postman for manual API testing

Automated scanners like OWASP ZAP for API vulnerability testing.

Securing Third-Party Dependencies:

Laravel applications often rely on third-party packages and libraries. Unmaintained or insecure dependencies can introduce vulnerabilities.

Best Practices:

Dependency Management:

Use Composer to manage dependencies.

Regularly update dependencies to their latest stable versions.

Review Package Integrity:

Verify package integrity using checksums.

Avoid installing unnecessary or unverified packages.

Monitoring Tools:

Use tools like Snyk or Dependabot to monitor for Laravel vulnerabilities in third-party packages.

Tools Used:

Composer security audit (composer audit)

Dependency scanners like Snyk

Conducting Penetration Testing:

Penetration testing simulates real-world attacks to uncover vulnerabilities in the application.

Techniques Used:

Black-box testing to simulate an attacker without prior knowledge of the system.

Exploiting common vulnerabilities like XSS, CSRF, and SQL injection.

Testing for logic flaws and business logic vulnerabilities.

Tools Used:

OWASP ZAP and Burp Suite for penetration testing

Kali Linux tools like SQLMap for SQL injection testing

Ensuring Compliance and Reporting:

Security audits must align with relevant compliance standards such as GDPR, HIPAA, or PCI-DSS.

Compliance Checklist:

Perform data protection impact assessments (DPIAs) where applicable.

Verify adherence to data retention policies.

Ensure encryption and logging practices meet regulatory requirements.

Reporting:

Provide a detailed report outlining identified vulnerabilities, their severity, and recommendations for mitigation.

Use scoring systems like CVSS to prioritize vulnerabilities.

Tools Used:

Compliance frameworks like NIST Cybersecurity Framework

Reporting templates with vulnerability severity matrices.

Implementing Remediation Strategies:

Addressing identified vulnerabilities is as important as finding them. A phased remediation strategy ensures all issues are resolved effectively.

Prioritization:

Critical vulnerabilities, such as exposed secrets or SQL injection risks, must be addressed immediately.

Medium and low severity issues can be scheduled for later sprints.

Post-Fix Testing:

Re-test the application to verify that fixes have resolved the vulnerabilities.

Conduct regression testing to ensure no new issues have been introduced.

Tools Used:

Automated testing suites integrated with CI/CD pipelines

Regression testing tools like PHPUnit for Laravel

Establishing an Ongoing Security Plan:

A one-time security audit is not enough. Continuous monitoring and periodic audits are essential for long-term security.

Ongoing Practices:

Regularly update Laravel and its dependencies.

Implement a robust security training program for developers.

Set up automated alerts for suspicious activities using monitoring tools like Laravel Telescope.

Proactive Measures:

Perform regular backups and disaster recovery testing.

Use Web Application Firewalls (WAFs) to block malicious traffic.

Boost Laravel Security

Laravel is the perfect choice for a wide range of applications. However, businesses need to be aware that securing their Laravel application is an ongoing and circular process. It will require the help of an expert team of Laravel developers. Businesses can take advantage of the Laravel development services we offer at Acquaint Softtech.

We are one of the few firms in Asia that is an official Laravel partner. Hence, besides having the necessary resources, you will also hire Laravel developers who always implement the security best practices.

For example, we never take any shortcuts and continuously monitor the security status of the application. Our applications are developed with a high-security principle of the least privileges. We grant sufficient user permission for the application to function but no more than necessary.

Conclusion

A Laravel security audit is an essential step in building secure and reliable web applications. Regular audits, combined with a security-first mindset, empower businesses to stay ahead of evolving threats and maintain user trust in their applications.

Address Laravel vulnerabilities, ensure compliance, and implement current security practices. This is the ideal method to protect sensitive data and safeguard their applications from cyber threats.

However, an in-depth security audit of a Laravel application requires a comprehensive approach. Hire remote developers from a professional firm like Acquaint Softtech to achieve this.

This approach involves authentication, data protection, input validation, session management, and more. We can significantly enhance the security posture of your Laravel application and protect it against common vulnerabilities and threats. Regular audits and updates are essential to maintaining a secure environment as new threats emerge.

[paraisocientifico]

"ANSIEDAD EN ADOLESCENTES ASOCIADA A UN ENTORNO DE FAMILIARES CON TRASTORNOS DE PERSONALIDAD"

CONFIGURACIÓN DEL PROGRAMA:

PROC SQL; CREATE TABLE WORK.query AS SELECT ETHRACE2A , ETOTLCA2 , IDNUM , PSU , STRATUM , WEIGHT , CDAY , CMON , CYEAR , REGION , CENDIV , CCS , FIPSTATE , BUILDTYP , NUMPERS , NUMPER18 , NUMREL , NUMREL18 , CHLD0 , CHLD1_4 , CHLD5_12 , CHLD13_15 , CHLD16_17 , CHLD0_17 , SPOUSE , FATHERIH , MOTHERIH , ADULTCH , OTHREL , NONREL FROM WORK.'NEW'n WHERE ETHRACE2A="5" AND REGION=4 AND CYEAR=2002; RUN; QUIT;

PROC DATASETS NOLIST NODETAILS; CONTENTS DATA=WORK.query OUT=WORK.details; RUN;

PROC PRINT DATA=WORK.details; RUN;

1 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;

68

69 LIBNAME mydata "/courses/d1406ae5ba27fe300" access=readonly;

NOTE: Libref MYDATA was successfully assigned as follows:

Engine: V9

Physical Name: /courses/d1406ae5ba27fe300

70 DATA new; set mydata.nesarc_pds;

NOTE: El archivo de datos MYDATA.NESARC_PDS.DATA está en un formato que es nativo para otro host o la codificación del archivo no

coincide con la codificación de la sesión. Se utilizará CEDA (Cross Environment Data Access) que podría requerir más

recursos de CPU y podría reducir el rendimiento.

71 LABEL TABLE12MDX="Generalized Anxiety" (General Anxiety)

72 S9Q1A="Ever Had 6+ Month Period Felt Tense/Nervous/Worried Most of Time"

73 S9Q1B="Ever Had 6+ Month Period Felt Very Tense/Nervous/Worried Most of Time About";

74

75 /*subsetting the data to include only 14 to 18 years old

76 IF S9Q1A=1;

77 IF AGE LE 14 TO 18;

78

79 PROC SORT; by IDNUM;

80

81 PROC FREQ; TABLES S9Q1A S9Q1B AGE;

82

83 RUN;

84

85

86 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;

87 ODS HTML CLOSE;

88 &GRAPHTERM; ;*';*";*/;RUN;

NOTE: Variable TABLE12MDX is uninitialized.

NOTE: There were 43093 observations read from the data set MYDATA.NESARC_PDS.

NOTE: The data set WORK.NEW has 43093 observations and 3008 variables.

NOTE: DATA statement ha utilizado (Tiempo de proceso total):

real time 10.39 seconds

user cpu time 9.57 seconds

system cpu time 0.75 seconds

memory 5713.28k

OS Memory 27548.00k

Timestamp 06/01/2025 05:18:08 a.m.

Step Count 48 Switch Count 21

Page Faults 0

Page Reclaims 1225

Page Swaps 0

Voluntary Context Switches 67

Involuntary Context Switches 48

Block Input Operations 0

Block Output Operations 2207248

88 ! QUIT;

89 QUIT;RUN;

90 ODS HTML5 (ID=WEB) CLOSE;

91

92 FILENAME _GSFNAME;

NOTE: Fileref _GSFNAME has been deassigned.

93 DATA _NULL_;

94 RUN;

NOTE: DATA statement ha utilizado (Tiempo de proceso total):

real time 0.00 seconds

user cpu time 0.00 seconds

system cpu time 0.00 seconds

memory 460.87k

OS Memory 20904.00k

Timestamp 06/01/2025 05:18:08 a.m.

Step Count 49 Switch Count 0

Page Faults 0

Page Reclaims 21

Page Swaps 0

Voluntary Context Switches 0

Involuntary Context Switches 0

Block Input Operations 0

Block Output Operations 0

95 OPTIONS NOTES STIMER SOURCE SYNTAXCHECK;

[durgatrainingpune-blog]

"Advanced SAS Techniques: Unlocking the Power of Data Analytics"

Unlocking the power of data analytics with advanced SAS techniques can significantly enhance your analytical capabilities. Here’s how to harness these techniques effectively:

Complex Data Manipulation: Use SAS procedures like PROC SQL and DATA STEP to perform intricate data transformations, merges, and aggregations, allowing you to handle large and complex datasets efficiently.

Advanced Statistical Analysis: Leverage SAS’s robust statistical procedures such as PROC REG for regression analysis, PROC ANOVA for analysis of variance, and PROC LOGISTIC for logistic regression to uncover deep insights and patterns in your data.

Predictive Modelling: Implement predictive modelling techniques using PROC HPFOREST or PROC HPLOGISTIC to develop and validate models that can forecast future trends and behaviours based on historical data.

Custom Reporting: Create customized and dynamic reports with PROC REPORT and PROC TABULATE to present data in meaningful ways that facilitate decision-making.

Automation and Efficiency: Utilize SAS macros to automate repetitive tasks and enhance the efficiency of your data processing and analysis workflows.

Mastering these advanced techniques enables you to unlock the full potential of SAS for sophisticated data analytics and drive impactful business decisions.SAS Online Training Institute, Power BI, Python Pune, India (saspowerbisasonlinetraininginstitute.in)

[app-modernization-services]

Breathing New Life into Legacy Apps: An App Modernization Success Story in Hospitality Management 

The hospitality industry thrives on seamless experiences. Behind the scenes, however, complex application landscapes can hinder agility and innovation. This article explores how a hospitality management company overcame these challenges through a strategic application modernization service offered by Celebal Technologies by leveraging Microsoft Azure. 

The Challenge: A Disjointed Application Landscape 

The client, a leading hospitality management company, faced a tangled web of applications. Heterogeneous interfaces, reliance on disparate services (SSIS packages and SQL Procs), and point-to-point connections created a rigid and cumbersome system. Tight coupling between processes limits scalability and reusability. Additionally, the lack of support for custom triggers and reliance on manual execution hampered automation. This disjointed landscape hindered the company's ability to adapt to changing customer demands and integrate with new technologies. 

The Solution: Modernization with Azure App Modernization Services 

The company partnered with Celebal Technologies, a leading provider of AMS. Celebal leveraged app modernization Azure services to breathe new life into legacy applications. Here's how: 

Reusable APIs and Unified Interface: Celebal transformed the point-to-point connections and disparate services into a set of well-defined, reusable APIs. This not only simplified integration but also ensured consistency and maintainability. Additionally, a hierarchical arrangement and unified interface provided a user-friendly experience for developers. 

Enhanced Developer Experience: Celebal prioritized developer experience with comprehensive documentation for the newly created APIs. This documentation served as a valuable resource, streamlining development and reducing onboarding time for new developers. Easy monitoring tools were also implemented, allowing developers to track API performance and identify issues proactively. 

Decoupled and Modular Architecture: Tight coupling between processes was a major bottleneck. Celebal implemented a decoupled and modular architecture, isolating functions and improving scalability. This modular approach allowed for independent development, testing, and deployment of individual components. 

Full API Lifecycle Management: Celebal's solution provided complete lifecycle management for the APIs. This included version control, deployment automation, and security management. This holistic approach ensured the APIs remained secure, reliable, and up-to-date. 

Cloud-Native Benefits: By leveraging Azure, the modernized application benefited from elastic scalability, managed upgrades, and high availability. This ensured the solution could efficiently handle fluctuating workloads and minimize downtime. 

Centralized Management and Orchestration: Azure's centralized management capabilities provided a unified platform for managing, orchestrating, scheduling, and monitoring the entire application ecosystem. This streamlined operations and improved visibility into the overall health of the system. 

The Outcome: A Streamlined and Scalable Application Landscape 

The app modernization strategy delivered significant benefits for the hospitality management company. The new, unified interface and reusable APIs simplified integration efforts and accelerated development cycles. The decoupled architecture improved scalability and facilitated independent deployments. Additionally, the cloud-native approach ensured high availability and cost-effective operation. 

Beyond the Success Story: The Power of App Modernization Strategies 

The success story of this hospitality company highlights the transformative power of app modernization Azure services. By embracing AMS and Azure, organizations can: 

Enhance agility and innovation: Modernized applications are easier to adapt to changing business needs and integrate with new technologies. 

Reduce maintenance costs: Legacy applications often require significant resources to maintain. Modernization can streamline maintenance and reduce costs. 

Improve security and compliance: Cloud-based platforms like Azure offer robust security features and compliance certifications. 

Unlock new opportunities: Modernized applications empower businesses to explore new revenue streams and enhance customer experiences. 

Conclusion 

Application modernization is no longer a choice, but a necessity in today's dynamic business landscape. By partnering with an experienced App Modernization Service provider and leveraging the power of Azure, organizations can breathe new life into their legacy applications, unlocking a future of agility, scalability, and innovation. If you want to embark on a digital transformation journey, then contact the industry experts of Celebal Technologies at enterprisesales@celebaltech.com 

[thedbahub]

How to Easily Sync Stored Proc Changes Across SQL Server AG Replicas

Introduction Have you ever made changes to stored procedures on your primary SQL Server Availability Group (AG) replica, only to realize those changes didn’t automatically propagate to the secondary replicas? It’s a common issue that can lead to inconsistencies and confusion. In this article, I’ll share the best way I’ve found to easily synchronize stored proc changes across all your AG…

[iandroideu]

The Ultimate SAS SQL route: SAS Programming on Proc SQL #Tutorials https://t.co/dYMWFAAjYI http://twitter.com/iandroideu1/status/1225275525716795393

The Ultimate SAS SQL route: SAS Programming on Proc SQL #Tutorials https://t.co/dYMWFAAjYI

— iAndroid.eu (@iandroideu1) February 6, 2020

[greatonlinetrainingsposts]

Mastering PROC SQL in SAS for Data Manipulation and Analysis

When it comes to SAS programming, one of the most powerful and versatile features is PROC SQL. This procedure allows you to use SQL (Structured Query Language) within the SAS environment to manage, manipulate, and analyze data in a highly efficient manner. Whether you're a beginner or an experienced user, understanding how to work with PROC SQL is an essential skill that can greatly boost your ability to analyze large datasets, perform complex queries, and generate meaningful reports.

In this SAS programming full course, we will dive into the ins and outs of PROC SQL to help you master this critical SAS tool. Through SAS programming tutorials, you will learn how to harness the full power of SQL within SAS, improving both the speed and flexibility of your data analysis workflows.

What is PROC SQL in SAS?

PROC SQL is a procedure within SAS that enables you to interact with data using SQL syntax. SQL is one of the most widely used languages in data manipulation and database management, and PROC SQL combines the power of SQL with the data management capabilities of SAS. By using PROC SQL, you can query SAS datasets, join multiple tables, summarize data, and even create new datasets, all within a single step.

One of the key benefits of using PROC SQL is that it allows you to perform complex data tasks in a more concise and efficient manner compared to traditional SAS programming methods. For example, you can use SQL to easily filter, aggregate, and group data, which would otherwise require multiple SAS programming steps. This streamlines your workflow and makes it easier to work with large datasets, especially when combined with SAS's powerful data manipulation features.

Why Learn PROC SQL for SAS?

Mastering PROC SQL in SAS is essential for anyone looking to elevate their data analysis skills. Whether you’re working in finance, healthcare, marketing, or any other data-driven field, PROC SQL enables you to quickly and efficiently manipulate large datasets, make complex queries, and perform data summarization tasks.

Here are some reasons why learning PROC SQL should be at the top of your SAS learning agenda:

Simplifies Data Management: SQL is designed specifically for managing and querying large datasets. By learning PROC SQL, you can quickly and efficiently access, filter, and aggregate data without having to write long, complicated code.

Improves Data Analysis: With PROC SQL, you can combine multiple datasets using joins, subqueries, and unions. This makes it easier to work with data from various sources and create unified reports that bring together key insights from different tables.

Boosts Efficiency: SQL is known for its ability to handle large datasets with ease. By mastering PROC SQL, you'll be able to manipulate data more quickly and effectively, making it easier to work with complex datasets and produce high-quality analysis.

Widely Used in Industry: SQL is a universal language for database management, making it a highly transferable skill. Many companies use SQL-based databases and tools, so understanding how to work with SQL in SAS will make you more valuable to potential employers and help you stay competitive in the job market.

What You’ll Learn in This SAS Programming Full Course

In this comprehensive SAS programming full course, you will learn everything you need to know about PROC SQL. The course is designed for beginners and advanced users alike, providing a step-by-step guide to mastering the procedure. Below is a breakdown of the key concepts and techniques covered in this training:

Introduction to SQL in SAS

What is PROC SQL and how does it integrate with SAS?

Key differences between traditional SAS programming and SQL-based data manipulation.

Basic syntax of SQL and how it applies to SAS programming.

Querying Data with SQL

How to write SELECT statements to extract specific data from your SAS datasets.

Using WHERE clauses to filter data based on conditions.

How to sort and order your data using the ORDER BY clause.

Applying aggregate functions (e.g., SUM, AVG, COUNT) to summarize data.

Advanced SQL Queries

Using JOIN operations to merge data from multiple tables.

Combining data from different sources with INNER, LEFT, RIGHT, and OUTER joins.

Subqueries: How to use nested queries to retrieve data from related tables.

Union and Union All: Combining multiple result sets into a single table.

Creating New Datasets with SQL

Using CREATE TABLE and INSERT INTO statements to create new datasets from your queries.

How to use SQL to write the results of a query to a new SAS dataset.

Optimizing SQL Queries

Tips for writing more efficient SQL queries to improve performance.

How to handle lard healthcare data management.

Working with data from external databases and importing/exporting data using SQL.

Learning Path and Benefits of SAS Online Training

Whether you are just starting your journey with SAS or looking to enhance your existing knowledge, our SAS online training provides you with all the resources you need to succeed. This SAS programming tutorial will guide you through every step of the learning process, ensuring you have the support you need to master PROC SQL.

Self-Paced Learning: Our SAS online training is designed to be flexible, allowing you to learn at your own pace. You can watch the videos, review the materials, and practice the exercises whenever it’s convenient for you.

Access to Expert Instructors: The training course is led by experienced SAS professionals who are there to help you whenever you need assistance. If you have any questions or need clarification, our instructors are available to guide you through any challenges you may encounter.

Comprehensive Resources: With access to a wide variety of tutorials, practice exercises, and real-world examples, you'll have everything you need to become proficient in SAS programming. Each tutorial is designed to build on the last, helping you gradually develop a complete understanding of SAS programming.

Community Support: Join a community of learners who are also working through the SAS programming full course. Share ideas, ask questions, and collaborate with others to improve your understanding of the material.

Conclusion

Mastering PROC SQL in SAS is a valuable skill for anyone looking to improve their data analysis capabilities. By learning how to use SQL within the SAS environment, you can efficiently manage and manipulate data, perform complex queries, and create meaningful reports. Our SAS programming tutorials will provide you with the knowledge and practical skills you need to succeed in the world of data analysis.

Enroll in our SAS online training today and start learning PROC SQL! With this powerful tool in your SAS programming toolkit, you’ll be ready to tackle even the most complex data tasks with ease.

[the-institute-gifts]

To: Sabrina Christiansen- @sabrina-christiansen​

proc sql;

Insert into sabrina.birthday (

Select  h.appropriate_birthday_greetings,

           a.awesome_gifts

from hallmarky.shit as h,

      student_masters.ace as a);

quit;

[paintbrushe]

Stored Procedures with SQL

Welcome to presume technologies, I am venker. This is part 18 of sequel server in this session, we'll understand what a stored procedure is. A simple stored procedure example creating a stored procedure with parameters altering a stored procedure, viewing the text of a stored procedure and finally, we will see how to drop a stored procedure. A stored procedure is a group of transaxial statements. If you ever have a situation where you have to write the same query over and over again, you can save that specific query as a stored procedure and call it just by its name. Let'S understand what we mean by this with an example. Now I have this table called TBL employee, which has got you know the ID name, gender and department ID columns. 

Let'S say I want name and gender of an employee, so we type in select name agenda from TBL employee. So, every time I want the name and gender of an employee, you know I have to write this query. Okay, instead of that, what we can actually do is wrap this query inside a stored procedure and call that stored procedure rather than you having to write. This query again and again: so how do we create a stored procedure to create a stored procedure? We use, create procedure, command so create procedure, and then you have to give this procedure an name. Okay, so SP, let us say, get employees okay, since this procedure is getting us, you know the employee name and gender, I'm giving it get employees and look at this in the name. I have this letters. Sp. A common naming convention for store procedures is that we usually prefix that, with small letter S and small letter, P, okay, indicating that you know just by looking at this name, you can tell okay. 

This is a stored procedure. Alright so create procedure procedure name and then you will use as begin and and okay. So the definition of your stored procedure goes between this begin and end okay. So this is the body of your stored procedure. Okay. Now, when I execute this command, what's going to happen is a stored procedure with this name gets created in this database, which is nothing but sample that we have selected here. Okay. Now, if you want to look at the stored procedure that you have just created, you know you want to make sure whether if this procedure is actually created or not, okay go into that database which is sample, and then you have this folder called program ability expand That and you should see a folder called stored procedures. 

If you expand that you know we don't have it currently listed there, just refresh that, and you should see that stored procedure which we have just created, which is sp, get employees okay, so anytime, you want the name and gender of an employee. Instead of writing. This query again, what you can actually do is execute the stored procedure. Okay, so if you want to execute, you just need the name of the procedure. So what happens when I execute the stored procedure? Okay, to execute the stored procedure, you just highlight that and click execute and you get the name and gender. You don't have to write that query any more. Now you might be wondering it's a very simple query. Why don't I write that rather than having to create this procedure and then invoke it now, this procedure may be simple in reality, the procedures will be long. 

You know there are very no stored procedures with over three thousands of lines, for example, okay, and not only that there are several other benefits of using stored procedures from security to network, reducing network traffic, etc. We will be talking about the advantages of stored procedures in a very great detail in a later session. Ok, so we use create procedure or create proc statement to create sp, I mean you can either say create procedure or you can just say, create proc for shortcut. Ok to create a stored procedure, we will talk about the naming convention of the stored procedures in just a bit okay and to execute the stored procedure. We have seen how to execute that stored procedure. 

You know you just copy that the name of the stored procedure and you click this execute button and what happens the sequence statement within that short procedure gets executed and it returns the name and gender columns all right. So that's one way to execute it or you can use the exact keyword and then click this or you can use a full, execute keyword and then again, plus f5, or you can also graphically execute the stored procedure. Just right-click on the stored procedure and select execute stored procedure and the moment you do that it shows this vendor. This procedure doesn't have any parameters. Otherwise you will have to supply the values for the parameters. In just a bit. We will see how to create a stored procedure that takes parameters now, when I click OK, it executes that stored procedure. 

Look at that alright, so those are the different ways to execute stored procedure. Now let us look at a simple example of how to create a stored procedure with parameters. Okay, so let's go back to that table TBL employees all right now. What I want to do is I: I want to create a stored procedure which takes two parameters. Maybe gender and the department ID okay, for example, if I pass gender as male and Department IDs one tier stored procedure, it should give me employees only within that gender and within that department. Okay, so your store procedure needs to have these parameters. Okay. So, let's see how to do that so as usual to create a stored procedure, we use create procedure command so create procedure and give your procedure a meaningful name, so SP get employees by gender and department okay. So I want the employees by gender and Department. Now look at this now this procedure. 

Okay, the user who invokes your stored procedure, is going to pass the stored procedure, the gender and the department ID so for them to be able to pass the values for gender and department ID. They should be parameters just like how functions have parameters in c-sharp or any other programming. Language stood procedures can also have parameters. Okay, so one is the gender parameter and if you look at gender, it's text here, so the data type is going to be n, where care of maybe 20 and department ID Department ID is going to be integers or Department ID integer as begin, and so the Definition of your stored procedure goes in between these lines. 

Okay, so what do we want from the table? We want the name, and maybe just the gender and also the department ID from which table we wanted from TBL employee table, but we don't want all names genders and department IDs. We want to filter them with what the user is going to pass in is going to pass in the gender and department ID. So we are going to say, the gender column here should be equal to whatever the user is passing in at gender and along the same lines and department ID let's bring this to. Another line is equal to whatever the user is going to pass in okay. So these parameters are like placeholders when users execute your stored procedure, they're going to pass in values for this gender and department ID which will be replaced at execution time. Okay. So let's create the store procedure so to create that select the entire stored procedure. Click execute button command completed successfully. Now, if you refresh the stored procedures folder, you should see SP get employees, Genda and department, okay, now to execute the stored procedure. I just need the name of the stored procedure and look at this. This stored procedure now is expecting gender and department ID parameters. Now look at this. If I don't pass the parameters and if I did try to execute that stored procedure, see highlight that and then plus execute. What'S going to happen, this procedure or function, SP get employees by gender and department, expects parameter, add gender which was not supplied, and that makes sense it's expecting a gender parameter which is not supplied. So we need to pass in the gender parameter since gender is of type and we're care I have to use single quotes, so I want the male employees within you know: department ID 1, so department ID is 1. So these are the two parameters that this stored procedure expects and we need to pass them. So when I press f5 now look at that, I only get male employees within that. You know department ID 1, okay. On the other hand, if I want all the male employees and department ID do a 2, I can do so all right now, when you have parameters like this, you know what you're doing is you're just passing in the parameters. So so so this male value will be taken into at gender parameter where, as this number 1 is passed into department, ID parameter. Okay, now what happens? If I put it the other way on, I am passing one first, okay, so what's going to happen, it will take this one into gender and one is an integer, but gender is of type and where cab and this one will be converted into n we're care. Implicitly, no problem, but it comes to the second parameter male. It tries to take this into Department ID parameter and if you look at the data type of department ID parameter, it is integer okay, so it tries to convert this string into integer and it fails - and it throws an exception - look at this. If I try to execute this now, I get an exception saying that error converting data type where care to integer, so it is trying to convert this mail. You know string of type and where care into integer and we get that error. Okay. So when you have multiple parameters that the stored procedure is expecting and if you're passing just values the values order, you know the order in which you pass them is important. Okay, the first parameter will be used. I mean the value here. The first argument will be used with the first parameter and the second argument will be used with the second parameter. Okay, that's why the order is important, but if you use the parameter names like this, let's say I want to pass one two at Department ID. I can specify the name of the parameter like so and similarly I can specify the name of the parameter for gender. 

So when I execute this now, I will have no issues because you are specifying the name of the parameter. Okay, so sequence of a knows. Okay, this one is meant, you know to be the value for Department, ID parameter and mail is the value for gender parameter. It'S only when you don't specify the names of the parameter. The order of the the order in which you pass the parameter is parameters is important. Alright and okay. So we have seen how to create a simple stored procedure and how to create a procedure with parameters as well, and we have seen how to execute them as well. Okay, now, once you have the stored procedures, let's say I have created two procedures until now. Sp get employees and, as we get employees by gender and Department. 

Now, if I want to view the text of these two procedures, what are the different ways that are available? One way is to simply right: click on that stored procedure, script, stored procedure as create two new query - editor window - this you know, generates the contents of that stored procedure. Look at this. This is the stored procedure. Definition that we have created create procedure procedure named. As begin and and then our query, this is one way to look at the definition of a stored procedure and the other way is to use a system stored procedure. You know these stored procedures that we have created here are user-defined stored procedures. 

These are not system, stored procedures, now, sequel server, you know, has some system stored procedures defined okay and we use it for certain tasks. For example, I want to find the text of a stored procedure. How do I do that? I can use a system stored procedure called SP underscore health text. Okay, so look at this. This is the name of the system store procedure. Sp underscore help text, okay, SP help text and then, if I pass in the name of the stored procedure, there SP get employees and then, when I select them together and execute this look at this, I get the text of my stored procedure. You can then copy that paste it here and see. How does the implementation of the stored procedure looks like okay, so to view the definition of a stored procedure, you can either right-click on that script. Stored procedure as create two new query, editor window or you can use the system stored procedure, SP underscore health text, followed by the name of the stored procedure, which gives you the text of the stored procedure. Okay, now in this slide, if you look at this, you know whenever we name user-defined stored procedure, microsoft recommends not to use SP underscore. 

You know prefix for user-defined stored procedures, because the reason is system stored procedures has that prefix. Okay. Now, if you happen to use SP underscore prefix for your user-defined stored procedures, there are two problems number one. There will be an ambiguity between user-defined stored procedures and system defined stored procedures, just by looking at the name. We cannot tell you know. Is this a user define, stored procedure or system defines stored procedure? Okay and another problem is, with future releases of you, know new sequence of a version. There may be name conflicts, you know if you create, let's say SP underscore ket date. Just you know, stored procedure and in the future release there is a system stored procedure, which is you know similarly named SP underscore get date. You know it's going to conflict with the user stored procedure, okay. So, to avoid problems like this, it's always better not to prefix user-defined, stored procedures with SP underscore prefix, alright. So to change the stored procedure. 

Now, once we have created a stored procedure, for example, I have the stored procedure, SP get employees after I have created the stored procedure. Let'S say I want to change its implementation in some way. How do I do that? Let'S say at the moment when I execute this SP get employee stored procedure. I am NOT getting the names sorted, you know I mean the names are basically not sorted. I want them to be sorted, so how do I do that? I will use the order by Clause so order by name okay, so I am changing the implementation of this tour procedure now, if I execute this create procedure once again, look at this, we get an error stating that there is already an object named SP get employees. Why we already have that and we are trying to create that again with the same name. So obviously we get that error. Our intention here is to change the definition of that stored procedure, not to create another stored procedure. So if you want to change the definition of the stored procedure, then you say alter procedure and I press f5. 

The stored procedure gets changed now. If we execute that we should have the name sorted okay, so we use all the procedures statement to change the definition of a stored procedure and to delete the stored procedure. We use drop procedure procedure name just like you know. If you want to drop a table, you will use drop table, table name. Okay, so, similarly to drop a procedure, you will say: drop, drop procedure and procedure. Name, for example, I want to drop or delete SP get employees. You know I just pass it there. I press f5 and then, if i refresh the stored procedures, folder it's gone now it's deleted or what you can do: alternately right-click on that and select delete okay. Now it's also possible to encrypt the text of the stored procedure and it's very simple to do. For example, I have the stored procedure now as we get employees by gender and Department look at this now. 

This is not encrypted at the moment. So when I use SP underscore health text and when I press f5, I am able to get the text of that stored procedure. So that's how the stored procedure is implemented. Now, if I want to encrypt the contents, the text of the stored procedure, I can do that. How do I do that? All you have to do is to use this switch, this option with encryption, okay, and we want to alter that. So I will say alter now when I press f5 look at this command completed successfully and now the moment i refresh this folder look at this. We get a little lock symbol there indicating that this stored procedure is now encrypted. 

Okay, now, if somebody tries to you, know, get the text of the encrypted stored procedure, we get a message saying that the text for the object is encrypted and - and we cannot retrieve the text of that - ok and you get the same kind of message when you Kind of use script stored procedure as create two new query: editor window. Okay, we get this error box, you know. If you look at here. It says that text is encrypted, so once a stored procedure is encrypted. You cannot view the text of that stored procedure, but, however, if you want to delete the stored procedure, you can go ahead and delete it and I'll just right click and select delete it gets deleted, but you cannot view the contents of his stored procedure that is Encrypted all right in the next session, we will see how to create an invocation procedure with output parameters. In this session, we have seen how to create a stored procedure with input parameters in the next session. We'Ll talk about creating stored procedures with output parameters. On this slide, you can find resources for asp.net in c-sharp interview questions. That'S it for today. Thank you for listening. Have a great day,

[dops1971-blr-blog]

PG Certificate

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[davidyoung98]

Generating SQL Scripts on SQL Workbench/J to Create Amazon Redshift Stored Procedures

#amazonredshift #postgresql

The task of generating a SQL script for a stored procedure or function is fairly simple in Microsoft SQL Server using SQL Server Management Studio, or in Oracle Database, using SQL Developer. However, if your database is Amazon Redshift, you’re probably using SQL Workbench/J to interact with your database, and unfortunately, its ability to script out stored procs is limited. I recently…

[this-week-in-rust]

This Week in Rust 465

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tweet us at @ThisWeekInRust or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub. If you find any errors in this week's issue, please submit a PR.

Updates from Rust Community

Newsletters

This Month in Rust GameDev #38 - September 2022

Project/Tooling Updates

Progress report on rustc_codegen_cranelift (Okt 2022)

Announcing KataOS and Sparrow

rust-analyzer changelog #151

A Memory Safe Implementation of the Network Time Protocol

Zenoh 0.6.0, a Pub/Sub/Query protocol, was released and it is packed with new features.

GlueSQL v0.13 - FSM based SQL query builder is newly added

Rust on Espressif chips - 17-10-2022

Introducing BastionAI, an open-source privacy-friendly AI training framework in Rust

Observations/Thoughts

Platform Agnostic Drivers in Rust: Publishing to Crates.io

A first look at Rust in the 6.1 kernel

Asynchronous programming in Rust

Why Rust?

What If LaTeX Had Instant Preview?

Magical handler functions in Rust

Rust Walkthroughs

Rust: Type Concealment With Any Trait and FnMut

Practical Parsing in Rust with nom

The Little Joys of Code: Proc Macros

How to Build a Machine Learning Model in Rust

[video] Building Awesome Desktop App with Rust, Tauri, and SurrealDB

[video] AsRef/Borrow Traits, and the ?Sized Marker - Rust

Using Neovim for Rust Development

[series] Sqlite File Parser Pt 3

Research

Simulating C++ references in Rust

Crate of the Week

This week's crate is HyperQueue, a runtime for ergonomic execution of programs on a distributed cluster.

Thanks to Jakub Beránek for the self-suggestion!

Please submit your suggestions and votes for next week!

Call for Participation

Always wanted to contribute to open-source projects but didn't know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

zerocopy - Add defensive programming in FromBytes::new_box_slice_zeroed

zerocopy - Add tests for compilation failure

Fornjot - export-validator does not support Windows

Ockam - Add clap based ockam sub command to create a vault without creating a node

Ockam - Add clap based ockam sub command to rotate identity keys

Ockam - Partition rust test jobs with nextest

If you are a Rust project owner and are looking for contributors, please submit tasks here.

Updates from the Rust Project

388 pull requests were merged in the last week

support casting boxes to dyn*

support default-body trait functions with return-position impl Trait in traits

mark derived StructuralEq as automatically derived

allow compiling the wasm32-wasi std library with atomics

detect and reject out-of-range integers in format string literals

drop temporaries created in a condition, even if it's a let chain

fix let keyword removal suggestion in structs

make dyn* casts into a coercion, allow dyn* upcasting

make overlapping_impls not generic

point out incompatible closure bounds

populate effective visibilities in rustc_resolve

print return-position impl Trait in trait verbosely if -Zverbose

add suggestion to the "missing native library" error

suggest == to the first expr which has ExprKind::Assign kind

suggest candidates for unresolved import

suggest parentheses for possible range method calling

suppress irrefutable let patterns lint for prefixes in match guards

unify tcx.constness query and param env constness checks

remove type traversal for mir constants

scoped threads: pass closure through MaybeUninit to avoid invalid dangling references

never panic in thread::park and thread::park_timeout

use semaphores for thread parking on Apple platforms

nicer errors from assert_unsafe_precondition

optimize TLS on Windows

stabilize map_first_last

constify Location methods

add MaybeUninit array transpose From impls

add Box<[T; N]>: TryFrom<Vec<T>>

add IsTerminal trait to determine if a descriptor or handle is a terminal

add is_empty() method to core::ffi::CStr

panic for invalid arguments of {integer primitive}::ilog{,2,10} in all modes

impl AsFd and AsRawFd for io::{Stdin, Stdout, Stderr}, not the sys versions

prevent UB in child process after calling libc::fork

fix Duration::{try_,}from_secs_f{32,64}(-0.0)

SIMD: mark more mask functions inline

futures: fix soundness hole in join macros

cargo: fix deadlock when build scripts are waiting for input on stdin

cargo: support 'publish.timeout' config behind '-Zpublish-timeout'

rustdoc: change default level of invalid_html_tags to warning and stabilize it

clippy: add as_ptr_cast_mut lint

clippy: add unused_format_specs lint

clippy: add a suggestion and a note about orphan rules for from_over_into

clippy: add new lint partial_pub_fields

clippy: change uninlined_format_args into a style lint

clippy: don't lint ptr_arg when used as an incompatible trait object

clippy: fix to_string_in_format_args in parens

clippy: don't lint default_numeric_fallback on constants

clippy: don't lint unnecessary_cast on negative hexadecimal literals when cast as floats

clippy: zero_prefixed_literal: Do not advise to use octal form if not possible

clippy: add cast-nan-to-int lint

clippy: fix box-default linting no_std non-boxes

clippy: fix: uninlined_format_args shouldn't inline panic! before 2021 edition

rust-analyzer: migrate assists to format args captures, part 2

rust-analyzer: diagnose some incorrect usages of the question mark operator

rust-analyzer: fix formatting requests hanging when r-a is still starting

Rust Compiler Performance Triage

Overall a fairly busy week, with many improvements and regressions, though the net result ends up being a small regression. Pretty busy week in terms of regressions in rollups as well, which unfortunately mostly were not followed up on prior to the report being put together, despite the relative ease of running perf against individual PRs now.

Triage done by @simulacrum. Revision range: 1e926f06..e0f8e60

2 Regressions, 4 Improvements, 4 Mixed; 4 of them in rollups 47 artifact comparisons made in total

See full report for details.

Call for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:

No RFCs issued a call for testing this week.

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

No RFCs were approved this week.

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

RFCs

No RFCs entered Final Comment Period this week.

Tracking Issues & PRs

No Tracking Issues or PRs entered Final Comment Period this week.

New and Updated RFCs

[new] Add RFC for calling default trait methods

[new] Add lang-team advisors team

Upcoming Events

Rusty Events between 2022-10-19 - 2022-11-16 🦀

Virtual

2022-10-19 | Virtual (Boulder, CO, US) | Boulder Elixir and Rust

Monthly Meetup

2022-10-19 | Virtual (Chennai, IN) | Techceleration at Toyota Connected

Techceleration's! Let's Talk Tech! Rust | BreakTheCode Contest - 14th Edition

2022-10-19 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rapid Prototyping in Rust: Write fast like Python; Run fast like C

2022-10-19 | Virtual | Boston NoSQL Database Group (ScyllaDB)

p99 Conf: All Things Performance (including talks on Rust) - Free | Official conference page

2022-10-20 | Virtual (Bellingham, WA, US) | bellingham.codes

Software Forum 8 (with Language small groups: Rust)

2022-10-20 | Virtual (Buenos Aires, AR) | Nerdearla

Rust y el desarrollo de software en la próxima década

2022-10-20 | Virtual (México City, MX) | Rust MX

Graphul, un web framework escrito en Rust

2022-10-20 | Virtual (Stuttgart, DE) | Rust Community Stuttgart

Rust-Meetup

2022-10-25 | Virtual (Berlin, DE) | OpenTechSchool Berlin

Rust Hack and Learn

2022-10-25 | Virtual (Dallas, TX, US) | Dallas Rust

Last Tuesday

2022-10-26 | Virtual (Redmond, WA, US / New York, NY, US / Toronto, CA / Stockholm, SE / London, UK) | Microsoft Reactor Redmond

Your First Rust Project: Rust Basics | New York Mirror | Toronto Mirror | Stockholm Mirror | London Mirror

2022-10-27 | Virtual (Charlottesville, VA, US) | Charlottesville Rust Meetup

Using Applicative Functors to parse command line options

2022-10-27 | Virtual (Karlsruhe, DE) | The Karlsruhe Functional Programmers Meetup Group

Stammtisch (gemeinsam mit der C++ UG KA) (various topics, from C++ to Rust...)

2022-10-29 | Virtual (Ludwigslust, DE) | Ludwigslust Rust Meetup

Von Nullen und Einsen | Rust Meetup Ludwigslust #1

2022-11-01 | Virtual (Beijing, CN) | WebAssembly and Rust Meetup (Rustlang)

Monthly WasmEdge Community Meeting, a CNCF sandbox WebAssembly runtime

2022-11-01 | Virtual (Buffalo, NY, US) | Buffalo Rust Meetup

Buffalo Rust User Group, First Tuesdays

2022-11-02 | Virtual (Cardiff, UK) | Rust and C++ Cardiff

Rust and C++ Cardiff Virtual Meet

2022-11-02 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2022-11-02 | Virtual (Redmond, WA, US / San Francisco, SF, US / New York, NY, US / Toronto, CA / London, UK) | Microsoft Reactor Redmond

Getting Started with Rust: From Java Dev to Rust Developer | San Francisco Mirror | New York Mirror | Toronto Mirror | London Mirror

2022-11-02 | Virtual (Stuttgart, DE) | Rust Community Stuttgart

Rust-Meetup

2022-11-08 | Virtual (Dallas, TX, US) | Dallas Rust

Second Tuesday

2022-11-08 | Virtual (Stockholm, SE) | Func Prog Sweden

Tenth Func Prog Sweden MeetUp 2022 – Online (with "Ready for Rust" by Erik Dörnenburg)

2022-11-10 | Virtual (Budapest, HU) | HWSW free!

RUST! RUST! RUST! meetup (online formában!)

2022-11-12 | Virtual | Rust GameDev

Rust GameDev Monthly Meetup

2022-11-15 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

2022-11-16 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rust Study/Hack/Hang-out

Europe

2022-10-20 | London, UK | Rust London User Group

Rust London x JFrog SwampUP After Party

2022-10-25 | Paris, FR | Rust Paris

Rust Paris meetup #53

2022-10-25 | Roma, IT | Rust Roma

Meetup Golang Roma - Go + Rust Hacknight - Hacktoberfest 2022

2022-10-26 | London, UK | Rust London User Group

LDN Talks October 2022: Host by Amazon Prime Video

2022-10-26 | Bristol, UK | Rust and C++ Cardiff/Rust Bristol

Programming Veloren & Rust for a living

2022-10-27 | København, DK | Copenhagen Rust Group

Hack Night #30

North America

2022-10-20 | New York, NY, US | Rust NYC

Anyhow ? Turbofish ::<> / HTTP calls and errors in Rust.

2022-10-20 | New York, NY, US | Cloud Native New York

Cloud-native Search Engine for Log Management and Analytics.

2022-10-25 | Toronto, ON, CA | Rust Toronto

Rust DHCP

2022-10-27 | Lehi, UT, US | Utah Rust

Bevy Crash Course with Nathan and Food!

2022-11-10 | Columbus, OH, US | Columbus Rust Society

Monthly Meeting

Oceania

2022-10-20 | Brisbane, QLD, AU | Rust Brisbane

October Meetup

2022-10-20 | Wellington, NZ | Rust Wellington

Tune Up Edition: software engineering management

2022-10-25 | Melbourne, VIC, AU | Rust Melbourne

October 2022 Meetup

2022-11-09 | Sydney, NSW, AU | Rust Sydney

RustAU Sydney - Last physical for 2022 !

South America

2022-11-05 | São Paulo, SP, BR | Rust São Paulo Meetup

Rust-SP meetup Outubro 2022

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

I think it's worth noting that the fact that this program fails to compile whereas the analogous Python runs but gives the wrong answer is exactly what Rust's ownership and borrowing system is about.

– Kevin Reid on rust-users

Thanks to Kill The Mule for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, andrewpollack, U007D, kolharsam, joelmarcey, mariannegoldin, bennyvasquez.

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[trainingcenter]

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We may even be adding extra integrations with Webex and Microsoft Teams. However, all the periods and recordings shall be out there proper from within our studying platform. Learners is not going to have to wait for any notifications or hyperlinks or install any additional software program. The Data Science with Python course is delivered by main practitioners who convey trending, greatest practices, and case research from their experience to the reside, interactive coaching periods.

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Data Management and Visualization - Part Two

After thinking on which software tool to use, I have decided to go for SAS. The reason behind this is that I actually use SAS Enterprise Guide at work, but normally by using PROC SQL, so it will be great to boost my SAS language skills as well.

This is how the code looks like by using the dataset and variables I’ve chosen previously.

Few things to mention:

No logic statements / filters have been applied, since I prefer to consider all the data to analyze my research questions.

The variables showed too many decimals, for that reason I have done some data manipulation (rounding), so the data is more readable in the frequency tables.

Frequency tables:

CO2 Emissions (Tons):

This variable takes 200 distinct values that are different for each country. Those varies from 132,000 to 334,220,872,333 tons of CO2 emissions.

Out of the 213 countries, we have values for 200 countries (94%), and we are missing information for 13 of them (6%).

Income per person (GDP in $):

This variable takes 185 distinct values, and those varies from 104 to 105,147 $. 50% of the countries have an income per person between 268-2,550 $, while the other 50% have it between 2,550-105,147 $.

Out of the 213 countries, we have values for 190 countries (89%), and we are missing information for 23 of them (11%).

Life expectancy (Years):

This variable takes 34 distinct values, and those varies from 48 to 83 years old. 50% of the countries have a life expectancy between 48-72 years old, while the other 50% are between 73-83 years old.

Out of the 213 countries, we have values for 191 countries (90%), and we are missing information for 22 of them (10%).

More to come! :)

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Finest Data Science Blogs

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