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this-week-in-rust · 1 year ago

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This Week in Rust 533

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? Tag us at @ThisWeekInRust on Twitter or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

Updates from Rust Community

Official

crates.io: API status code changes

Foundation

Google Contributes $1M to Rust Foundation to Support C++/Rust "Interop Initiative"

Project/Tooling Updates

Announcing the Tauri v2 Beta Release

Polars — Why we have rewritten the string data type

rust-analyzer changelog #219

Ratatui 0.26.0 - a Rust library for cooking up terminal user interfaces

Observations/Thoughts

Will it block?

Embedded Rust in Production ..?

Let futures be futures

Compiling Rust is testing

Rust web frameworks have subpar error reporting

[video] Proving Performance - FOSDEM 2024 - Rust Dev Room

[video] Stefan Baumgartner - Trials, Traits, and Tribulations

[video] Rainer Stropek - Memory Management in Rust

[video] Shachar Langbeheim - Async & FFI - not exactly a love story

[video] Massimiliano Mantione - Object Oriented Programming, and Rust

[audio] Unlocking Rust's power through mentorship and knowledge spreading, with Tim McNamara

[audio] Asciinema with Marcin Kulik

Non-Affine Types, ManuallyDrop and Invariant Lifetimes in Rust - Part One

Nine Rules for Accessing Cloud Files from Your Rust Code: Practical lessons from upgrading Bed-Reader, a bioinformatics library

Rust Walkthroughs

AsyncWrite and a Tale of Four Implementations

Garbage Collection Without Unsafe Code

Fragment specifiers in Rust Macros

Writing a REST API in Rust

[video] Traits and operators

Write a simple netcat client and server in Rust

Miscellaneous

RustFest 2024 Announcement

Preprocessing trillions of tokens with Rust (case study)

All EuroRust 2023 talks ordered by the view count

Crate of the Week

This week's crate is embedded-cli-rs, a library that makes it easy to create CLIs on embedded devices.

Thanks to Sviatoslav Kokurin for the self-suggestion!

Please submit your suggestions and votes for next week!

Call for Participation; projects and speakers

CFP - Projects

Always wanted to contribute to open-source projects but did not 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.

Fluvio - Build a new python wrapping for the fluvio client crate

Fluvio - MQTT Connector: Prefix auto generated Client ID to prevent connection drops

Ockam - Implement events in SqlxDatabase

Ockam - Output for both ockam project ticket and ockam project enroll is improved, with support for --output json

Ockam - Output for ockam project ticket is improved and information is not opaque

Hyperswitch - [FEATURE]: Setup code coverage for local tests & CI

Hyperswitch - [FEATURE]: Have get_required_value to use ValidationError in OptionExt

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

CFP - Speakers

Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.

RustNL 2024 CFP closes 2024-02-19 | Delft, The Netherlands | Event date: 2024-05-07 & 2024-05-08

NDC Techtown CFP closes 2024-04-14 | Kongsberg, Norway | Event date: 2024-09-09 to 2024-09-12

If you are an event organizer hoping to expand the reach of your event, please submit a link to the submission website through a PR to TWiR.

Updates from the Rust Project

309 pull requests were merged in the last week

add avx512fp16 to x86 target features

riscv only supports split_debuginfo=off for now

target: default to the medium code model on LoongArch targets

#![feature(inline_const_pat)] is no longer incomplete

actually abort in -Zpanic-abort-tests

add missing potential_query_instability for keys and values in hashmap

avoid ICE when is_val_statically_known is not of a supported type

be more careful about interpreting a label/lifetime as a mistyped char literal

check RUST_BOOTSTRAP_CONFIG in profile_user_dist test

correctly check never_type feature gating

coverage: improve handling of function/closure spans

coverage: use normal edition: headers in coverage tests

deduplicate more sized errors on call exprs

pattern_analysis: Gracefully abort on type incompatibility

pattern_analysis: cleanup manual impls

pattern_analysis: cleanup the contexts

fix BufReader unsoundness by adding a check in default_read_buf

fix ICE on field access on a tainted type after const-eval failure

hir: refactor getters for owner nodes

hir: remove the generic type parameter from MaybeOwned

improve the diagnostics for unused generic parameters

introduce support for async bound modifier on Fn* traits

make matching on NaN a hard error, and remove the rest of illegal_floating_point_literal_pattern

make the coroutine def id of an async closure the child of the closure def id

miscellaneous diagnostics cleanups

move UI issue tests to subdirectories

move predicate, region, and const stuff into their own modules in middle

never patterns: It is correct to lower ! to _

normalize region obligation in lexical region resolution with next-gen solver

only suggest removal of as_* and to_ conversion methods on E0308

provide more context on derived obligation error primary label

suggest changing type to const parameters if we encounter a type in the trait bound position

suppress unhelpful diagnostics for unresolved top level attributes

miri: normalize struct tail in ABI compat check

miri: moving out sched_getaffinity interception from linux'shim, FreeBSD su…

miri: switch over to rustc's tracing crate instead of using our own log crate

revert unsound libcore changes

fix some Arc allocator leaks

use <T, U> for array/slice equality impls

improve io::Read::read_buf_exact error case

reject infinitely-sized reads from io::Repeat

thread_local::register_dtor fix proposal for FreeBSD

add LocalWaker and ContextBuilder types to core, and LocalWake trait to alloc

codegen_gcc: improve iterator for files suppression

cargo: Don't panic on empty spans

cargo: Improve map/sequence error message

cargo: apply -Zpanic-abort-tests to doctests too

cargo: don't print rustdoc command lines on failure by default

cargo: stabilize lockfile v4

cargo: fix markdown line break in cargo-add

cargo: use spec id instead of name to match package

rustdoc: fix footnote handling

rustdoc: correctly handle attribute merge if this is a glob reexport

rustdoc: prevent JS injection from localStorage

rustdoc: trait.impl, type.impl: sort impls to make it not depend on serialization order

clippy: redundant_locals: take by-value closure captures into account

clippy: new lint: manual_c_str_literals

clippy: add lint_groups_priority lint

clippy: add new lint: ref_as_ptr

clippy: add configuration for wildcard_imports to ignore certain imports

clippy: avoid deleting labeled blocks

clippy: fixed FP in unused_io_amount for Ok(lit), unrachable! and unwrap de…

rust-analyzer: "Normalize import" assist and utilities for normalizing use trees

rust-analyzer: enable excluding refs search results in test

rust-analyzer: support for GOTO def from inside files included with include! macro

rust-analyzer: emit parser error for missing argument list

rust-analyzer: swap Subtree::token_trees from Vec to boxed slice

Rust Compiler Performance Triage

Rust's CI was down most of the week, leading to a much smaller collection of commits than usual. Results are mostly neutral for the week.

Triage done by @simulacrum. Revision range: 5c9c3c78..0984bec

0 Regressions, 2 Improvements, 1 Mixed; 1 of them in rollups 17 artifact comparisons made in total

Full report here

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

[disposition: merge] Consider principal trait ref's auto-trait super-traits in dyn upcasting

[disposition: merge] remove sub_relations from the InferCtxt

[disposition: merge] Optimize away poison guards when std is built with panic=abort

[disposition: merge] Check normalized call signature for WF in mir typeck

Language Reference

No Language Reference RFCs entered Final Comment Period this week.

Unsafe Code Guidelines

No Unsafe Code Guideline RFCs entered Final Comment Period this week.

New and Updated RFCs

Nested function scoped type parameters

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.

Upcoming Events

Rusty Events between 2024-02-07 - 2024-03-06 🦀

Virtual

2024-02-07 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - Ezra Singh - How Rust Saved My Eyes

2024-02-08 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2024-02-08 | Virtual (Nürnberg, DE) | Rust Nüremberg

Rust Nürnberg online

2024-02-10 | Virtual (Krakow, PL) | Stacja IT Kraków

Rust – budowanie narzędzi działających w linii komend

2024-02-10 | Virtual (Wrocław, PL) | Stacja IT Wrocław

Rust – budowanie narzędzi działających w linii komend

2024-02-13 | Virtual (Dallas, TX, US) | Dallas Rust

Second Tuesday

2024-02-15 | Virtual (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin

Rust Hack n Learn | Mirror: Rust Hack n Learn

2024-02-15 | Virtual + In person (Praha, CZ) | Rust Czech Republic

Introduction and Rust in production

2024-02-19 | Virtual (Melbourne, VIC, AU) | Rust Melbourne

February 2024 Rust Melbourne Meetup

2024-02-20 | Virtual | Rust for Lunch

Lunch

2024-02-21 | Virtual (Cardiff, UK) | Rust and C++ Cardiff

Rust for Rustaceans Book Club: Chapter 2 - Types

2024-02-21 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rust Study/Hack/Hang-out

2024-02-22 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

Asia

2024-02-10 | Hyderabad, IN | Rust Language Hyderabad

Rust Language Develope BootCamp

Europe

2024-02-07 | Cologne, DE | Rust Cologne

Embedded Abstractions | Event page

2024-02-07 | London, UK | Rust London User Group

Rust for the Web — Mainmatter x Shuttle Takeover

2024-02-08 | Bern, CH | Rust Bern

Rust Bern Meetup #1 2024 🦀

2024-02-08 | Oslo, NO | Rust Oslo

Rust-based banter

2024-02-13 | Trondheim, NO | Rust Trondheim

Building Games with Rust: Dive into the Bevy Framework

2024-02-15 | Praha, CZ - Virtual + In-person | Rust Czech Republic

Introduction and Rust in production

2024-02-21 | Lyon, FR | Rust Lyon

Rust Lyon Meetup #8

2024-02-22 | Aarhus, DK | Rust Aarhus

Rust and Talk at Partisia

North America

2024-02-07 | Brookline, MA, US | Boston Rust Meetup

Coolidge Corner Brookline Rust Lunch, Feb 7

2024-02-08 | Lehi, UT, US | Utah Rust

BEAST: Recreating a classic DOS terminal game in Rust

2024-02-12 | Minneapolis, MN, US | Minneapolis Rust Meetup

Minneapolis Rust: Open Source Contrib Hackathon & Happy Hour

2024-02-13 | New York, NY, US | Rust NYC

Rust NYC Monthly Mixer

2024-02-13 | Seattle, WA, US | Cap Hill Rust Coding/Hacking/Learning

Rusty Coding/Hacking/Learning Night

2024-02-15 | Boston, MA, US | Boston Rust Meetup

Back Bay Rust Lunch, Feb 15

2024-02-15 | Seattle, WA, US | Seattle Rust User Group

Seattle Rust User Group Meetup

2024-02-20 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2024-02-22 | Mountain View, CA, US | Mountain View Rust Meetup

Rust Meetup at Hacker Dojo

2024-02-28 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

Oceania

2024-02-19 | Melbourne, VIC, AU + Virtual | Rust Melbourne

February 2024 Rust Melbourne Meetup

2024-02-27 | Canberra, ACT, AU | Canberra Rust User Group

February Meetup

2024-02-27 | Sydney, NSW, AU | Rust Sydney

🦀 spire ⚡ & Quick

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

My take on this is that you cannot use async Rust correctly and fluently without understanding Arc, Mutex, the mutability of variables/references, and how async and await syntax compiles in the end. Rust forces you to understand how and why things are the way they are. It gives you minimal abstraction to do things that could’ve been tedious to do yourself.

I got a chance to work on two projects that drastically forced me to understand how async/await works. The first one is to transform a library that is completely sync and only requires a sync trait to talk to the outside service. This all sounds fine, right? Well, this becomes a problem when we try to port it into browsers. The browser is single-threaded and cannot block the JavaScript runtime at all! It is arguably the most weird environment for Rust users. It is simply impossible to rewrite the whole library, as it has already been shipped to production on other platforms.

What we did instead was rewrite the network part using async syntax, but using our own generator. The idea is simple: the generator produces a future when called, and the produced future can be awaited. But! The produced future contains an arc pointer to the generator. That means we can feed the generator the value we are waiting for, then the caller who holds the reference to the generator can feed the result back to the function and resume it. For the browser, we use the native browser API to derive the network communications; for other platforms, we just use regular blocking network calls. The external interface remains unchanged for other platforms.

Honestly, I don’t think any other language out there could possibly do this. Maybe C or C++, but which will never have the same development speed and developer experience.

I believe people have already mentioned it, but the current asynchronous model of Rust is the most reasonable choice. It does create pain for developers, but on the other hand, there is no better asynchronous model for Embedded or WebAssembly.

– /u/Top_Outlandishness78 on /r/rust

Thanks to Brian Kung 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.

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

#rust-lang #rust #rustlang #twir #long post

2 notes · View notes

smrakhann · 10 months ago

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Unlock Your Potential with the Python Course at Future Connect Training

In the fast-paced world of technology, programming skills have become essential for professionals across various industries. Among the myriad of programming languages, Python stands out for its versatility, ease of learning, and widespread use in numerous applications. Whether you are looking to enhance your career prospects or pivot to a new field, enrolling in a Python course at Future Connect Training is a strategic move that can set you on the path to success.

Why Python?

Before diving into the specifics of the course offered by Future Connect Training, let's explore why Python is a language you should consider mastering:

Ease of Learning: Python's syntax is clear and readable, making it an ideal language for beginners. It allows you to focus on learning programming concepts rather than getting bogged down by complex syntax.

Versatility: Python is used in various fields such as web development, data analysis, artificial intelligence, machine learning, and more. This versatility opens up numerous career opportunities.

Community and Libraries: Python boasts a robust community and an extensive range of libraries and frameworks that simplify many programming tasks. Whether you are into web development (Django, Flask), data science (Pandas, NumPy), or machine learning (TensorFlow, PyTorch), Python has the tools you need.

High Demand: Python is one of the most in-demand programming languages in the job market today. Companies across the globe are looking for skilled Python developers to help them innovate and stay competitive.

Why Future Connect Training?

Choosing the right training institute is crucial for your success as a Python programmer. Future Connect Training stands out for several reasons:

Expert Instructors: The Python course at Future Connect Training is taught by experienced professionals who bring real-world insights and practical knowledge to the classroom. Their industry experience ensures you are learning relevant and up-to-date skills.

Comprehensive Curriculum: The course covers all aspects of Python programming, from the basics to advanced topics. This ensures you have a solid foundation and are well-prepared for complex projects and job roles.

Hands-On Learning: Emphasis on practical learning through projects, coding exercises, and real-world applications helps you build confidence and competence. You will be able to apply what you learn immediately.

Flexible Learning Options: Future Connect Training offers flexible learning schedules, including online classes, weekend sessions, and evening classes to accommodate your busy life.

Career Support: Beyond just teaching you Python, Future Connect Training provides robust career support, including resume building, interview preparation, and job placement assistance.

Course Overview

The Python course at Future Connect Training is designed to cater to both beginners and those with some programming experience. Here’s a detailed overview of what you can expect:

Module 1: Introduction to Python

Understanding Python and its history

Installing Python and setting up the development environment

Writing your first Python program

Module 2: Basic Python Syntax and Concepts

Variables, data types, and operators

Control structures (if statements, loops)

Functions and modules

Module 3: Data Structures

Lists, tuples, and dictionaries

Working with sets and strings

Advanced data structures

Module 4: Object-Oriented Programming

Classes and objects

Inheritance and polymorphism

Encapsulation and abstraction

Module 5: Working with Files and Exceptions

Reading and writing files

Handling exceptions and errors

Context managers

Module 6: Libraries and Frameworks

Introduction to popular Python libraries

Working with NumPy and Pandas for data analysis

Overview of web frameworks like Django and Flask

Module 7: Data Visualization

Creating plots with Matplotlib

Advanced visualization with Seaborn

Interactive plots with Plotly

Module 8: Introduction to Machine Learning

Understanding the basics of machine learning

Working with Scikit-learn

Building simple machine learning models

Module 9: Final Project

Applying all the concepts learned in a capstone project

Real-world problem solving

Presentation and code review

Career Support and Opportunities

Future Connect Training is dedicated to not just teaching you Python but also ensuring you succeed in your career. Here’s how they support you:

Resume Building: Get assistance in crafting a compelling resume that highlights your skills and experience in Python.

Interview Preparation: Participate in mock interviews and get tips to excel in job interviews.

Job Placement Assistance: Benefit from a network of employers looking for skilled Python developers and get help in landing your dream job.

Success Stories

Many students who have completed the Python course at Future Connect Training have gone on to achieve remarkable success in their careers. Here are a few testimonials:

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Enroll Today

If you’re ready to take the next step in your career and become proficient in one of the most powerful and versatile programming languages, enroll in the Python course at Future Connect Training. Visit their website to learn more about the course details, schedule, and enrollment process. Don’t miss out on this opportunity to transform your career and master Python programming.

Start your journey with Future Connect Training today and unlock your potential as a Python developer.

0 notes

nandithamn · 1 year ago

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What are the benefits of python dataclasses

Introduction

If you just started or already coded using Python and like Object Oriented Programming but aren't familiar with the dataclasses module, you came to the right place! Data classes are used mainly to model data in Python. It decorates regular Python classes and has no restrictions, which means it can behave like a typical class. Special methods build-in implementation. In the world of Python programming, data manipulation and management play a crucial role in many applications. Whether you’re working with API responses, modeling entities, or simply organizing your data, having a clean and efficient way to handle data is essential. This is where Python data classes come into the picture

What Are Python Dataclasses?

Python dataclasses are classes from the standard library to be added to the code for specific functionality. These can be used for making changes to user-defined classes using the dataclass decorator. we don't have to implement special methods ourselves, which helps us avoid boilerplate code, like the init method (_init_ ), string representation method (_repr_ ), methods that are used for ordering objects (e.g. lt, le, gt, and ge), these compare the class as if it were a tuple of its fields, in order.The advantage of using Python dataclasses is that the special methods can be automatically added, leaving more time for focusing on the class functions instead of the class itself.Python, a data class is a class that is primarily used to store data, and it is designed to be simple and straightforward. Data classes are introduced in Python 3.7 and later versions through the data class decorator in the data classes module.The purpose of a Python data class is to reduce boilerplate code that is typically associated with defining classes whose main purpose is to store data attributes. With data classes, you can define the class and its attributes in a more concise and readable manner.

Python's datetime module provides classes for working with dates and times. The main classes include:

There Are Two Types

First Type

Date: Represents a date (year, month, day).

Time: Represents a time (hour, minute, second, microsecond).

Datetime: Represents both date and time.

Timedelta: Represents a duration, the difference between two dates or times.

Tzinfo: Base abstract class for time zone information objects.

Second Type

Datetime: Represents a specific point in time, including both date and time information.

Date: Represents a date (year, month, day) without time information.

Time: Represents a time (hour, minute, second, microsecond) without date information.

Timedelta: Represents the difference between two datetime objects or a duration of time.

How Are Python Dataclasses Effective?

Python dataclasses provide a convenient way to create classes that primarily store data. They are effective for several reasons:Now that you know the basic concept of Python dataclasses decorator, we’ll explore in more detail why you must consider using it for your code. First, using dataclasses will reduce the number of writing special methods. It will help save time and enhance your productivity.

Reduced Boilerplate Code

Easy Declaration

Immutable by Default

Integration with Typing

Customization

Interoperability

Use Less Code to Define Class

Easy Conversion to a Tuple

Eliminates the Need to Write Comparison Methods

Overall, Python dataclasses offer a convenient and effective way to define simple, data-centric classes with minimal effort, making them a valuable tool for many Python developers.

#python course #python training #python programming #education

0 notes

learn-python-programming-online · 1 year ago

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The Python Standard Library: A Beginner's Guide

Python's Standard Library is a treasure trove of modules and packages that provide a wide range of functionality for various programming tasks. From file I/O operations to network programming and beyond, the Standard Library offers solutions to many common programming challenges. Whether you're a beginner or an experienced developer, understanding and utilizing the capabilities of the Standard Library can greatly enhance your productivity and efficiency in Python programming.

Introduction to Python's Standard Library

The Standard Library in Python consists of a collection of modules and packages that are included with every installation of Python. These modules cover a diverse range of functionalities, including file handling, data types, networking, threading, and more. Unlike third-party libraries, which need to be installed separately, the modules in the Standard Library are readily available, making them easily accessible for all Python developers.

Why Use Python's Standard Library?

There are several reasons why developers prefer using Python's Standard Library:

Robustness and Reliability: Modules in the Standard Library are rigorously tested and maintained as part of the Python core, ensuring their stability and reliability.

Portability: Since the Standard Library is included with every Python distribution, code written using its modules can be easily ported across different platforms without additional dependencies.

Consistency: The modules in the Standard Library follow consistent naming conventions and design patterns, making it easy for developers to understand and use them effectively.

Community Support: Being an integral part of Python, the Standard Library enjoys widespread community support, with extensive documentation, tutorials, and examples available online.

Essential Modules in Python's Standard Library

Let's explore some of the essential modules in Python's Standard Library:

1. os Module

The os module provides a portable way of using operating system-dependent functionality. It allows you to perform various tasks such as file and directory operations, process management, and environment variables manipulation.

2. sys Module

The sys module provides access to some variables used or maintained by the Python interpreter, as well as functions that interact strongly with the interpreter. It's commonly used for system-specific configuration and runtime environment manipulation.

3. datetime Module

The datetime module offers classes for manipulating dates and times in both simple and complex ways. It provides functionality for parsing, formatting, and performing arithmetic operations on dates and times.

4. json Module

The json module facilitates encoding and decoding JSON data. It allows you to serialize Python objects into JSON strings and deserialize JSON strings into Python objects, making it easy to work with JSON data in Python applications.

5. re Module

The re module provides support for working with regular expressions in Python. It allows you to search, match, and manipulate text using complex patterns, enabling powerful string manipulation capabilities.

Conclusion

Python's Standard Library is a powerful resource for developers, offering a wide range of functionality for various programming tasks. By familiarizing yourself with the essential modules and packages in the Standard Library, you can streamline your development workflow and build more robust and efficient Python applications.

So, dive into Python's Standard Library today and unlock the full potential of Python programming!

Ready to level up your Python skills and become a certified expert? Enroll now in the Python Training Course offered by Learnowx Institute! Our comprehensive course covers everything you need to know about Python's Standard Library and beyond.

#Python Standard Library #Python Library #Python Training Course

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kumarom · 2 years ago

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Python Date

Python provides the datetime module work with real dates and times. In real-world applications, we need to work with the date and time. Python enables us to schedule our Python script to run at a particular timing.

In Python, the date is not a data type, but we can work with the date objects by importing the module named with datetime, time, and calendar.

In this section of the tutorial, we will discuss how to work with the date and time objects in Python.

The datetime classes are classified in the six main classes.

0 notes

pythontipsnadtricks · 2 years ago

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Dates and Times in python

Working with dates and times in Python training is facilitated by the built-in datetime module. This module offers tools to manipulate, format, and perform operations on dates and times. Here's an overview of how to work with dates and times using the datetime module:

Importing the Module: Begin by importing the datetime module.

Creating Date and Time Objects: Use the datetime.datetime.now() function to represent the current date and time. To create specific dates or times, employ the datetime.datetime() constructor.

Date and Time Components: Access components like year, month, day, hour, minute, and second of a datetime object.

Formatting Dates and Times: Format datetime objects as strings using the strftime() method and formatting codes.

Parsing Strings to Datetime: Convert strings to datetime objects using the strptime() function.

Performing Arithmetic Operations: Perform arithmetic operations with datetime objects.

Timezones: Utilize the pytz library in combination with the datetime module to work with timezones.

The datetime module's functionalities are valuable in various applications, including scheduling, data analysis, and record keeping. It provides a reliable way to manage date and time-related operations, ensuring accurate results in Python programs.

0 notes

techhelpnotes · 3 years ago

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Python date string to date object

>>> import datetime >>> datetime.datetime.strptime(24052010, %d%m%Y).date() datetime.date(2010, 5, 24)

import datetime datetime.datetime.strptime(24052010, %d%m%Y).date()

Python date string to date object

Directly related question:

What if you have

#Python date string to date object #Techhelpnotes

0 notes

scalealibi57-blog · 5 years ago

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Software Program Tester Income

Java Vs C++.

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Content

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Top Tips For Discovering Java Programming.

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Press the Following switch and pick the techniques that you want to evaluate. In the complying with wizard guarantee that theNew JUnit 4 testflag is selected as well as set the source folder totest, to make sure that your test class obtains produced in this folder. In the src folder, produce the com.vogella.junit.first plan and the adhering to class.

Automation Testing Resources.

The outcome of the named approach is passed as disagreement to the examination. With the optional characteristic names you can choose which constants must be used. The following table offers a review of all feasible test data resources for parameterized tests. @SelectClasses - used to define the courses for the examination collection.

Right here isall brand-new "The very best Selenium WebDriver + JAVA Educating" covering ideas from essentials to advanced examination automation. JUnit attempts to automatically convert the resource strings to match the expected disagreements of the examination approach. The referenced class has to carry out the ArgumentsProvider user interface.

Examination Automation With Selenium Webdriver.

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You can learn the basic in two months if you put the time into doing so. However, learning how to design and implement a real world Java application correctly based on a detailed design doc will take more experience.

Develop our very first collection of tests for a Java program and also automatethese testsusing JUnit. Understand some fundamental principles of testing and whyit requires imagination.

It has now become one of the greatest platforms, which supplies several online programs.

You can find out several programs languages such as Java, C++, and C.

Udemy offers Java tutorials from complete beginner to professional level.

It is the significant worry when it involves code which makes python reliable.

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It is also feasible to download the JUnit library clearly from the JUnit internet site. To obtain the list of stopped working tests, ideal click the examinations result and selectCopy Failure Listing. https://www.storeboard.com/blogs/general/software-application-efficiency-test-designer-work-description/3496293 and the pile traces right into the clipboard. If you have a stopping working test, you can likewise specify that the view is only activated. To run just the selected test, position the arrow on the test method name as well as utilize the faster way.

Leading Tips For Discovering Java Programs.

You note an examination class as a parameterized examination with the @RunWith( Parameterized.class) annotation. If you have several test classes, you can combine them right into a test suite. Running an examination collection implements all test courses because suite in the defined order. When the underlying code has been transformed and also the test instance has not yet been adjusted, this is useful. Or if the implementation time of this examination is as well lengthy to be included.

Understand when not to apply mock items and also go for integration tests. Have the ability to apply mock objects in order to unit test a course. Use a typical market code insurance coverage tool as well as analyze its results. Be able to use one of the most preferred structural testing competence standards, such as line insurance coverage, branch protection, as well as course coverage as well as to comprehend their distinctions. Understand the differences in between system, integration, and system testing, along with the testing pyramid.

The above benefit Java projects however not yet for Android tasks. The result of the examination execution will certainly be presented in the Console sight. For more information concerning simulated frameworks please see the Mockito tutorial. In this instance the actual things is exchanged by a substitute which has a predefined habits for the test. The test is stopping working, due to the fact that our multiplier class is currently not functioning properly.

Pointer # 3: Chrome Devtools: Mimicing Network Issues

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rohithgo-blog · 6 years ago

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PYTHON TRAINING IN VIJAYAWADA

Python Training in Vijayawada

Python is a high-level programming language for general purpose programming. It is the perfect language for someone trying to learn computer programming for the first time. Guido van Rossum created Python programming in 1991. Python is an open source programming language. Many applications like web, games, software development, Object Databases, Network Programming, Mobile applications and many more can build using python programming. Python programming supports both structured and object-oriented programming. Python Training Course – Objective Python programming language training main objective for the student is to develop primary programming skills up to the higher end to solve the different programming logic. A student can able to write a different type of logic at the end of the sessions. After learning python programming language course, the student can able to build web applications, database access and data analysis. Few applications which make using python programming are YouTube, Dropbox, Google, Quora, Instagram, BitTorrent, Spotify, Reddit, Yahoo Maps, Hipmunk, Pinterest, NASA, Bitbucket. After completing the python training, a student can able to attend any MNC Company interview and can solve the technical rounds both theoretically and practically. A student can able to build web pages and host in cloud servers which can be accessible by anyone in the world. Why Python Training is required? Python has topped the charts in recent years when compared to programming languages like C, C++ and Java are widely being used by the programmers these days. Nowadays everything is related to data; the future is entirely on data so for manipulating or processing the information we need to upgrade our skills. Python is the best programming language for processing the data in various stages. Python programming has a unique feature of integrating with any programming language. You can design a project frontend with PHP and integrate backend with python. Advanced technologies like NLP, AI, and Machine Learning are built using python. Education at CodeGnan will assure you, the ability to code application by the end of the Python training. Advantages of Python Programming Python’s syntax is simple to learn, so both non-programmers and programmers can right away start programming in it Python is developed under an OSI-approved open source license, which makes it easier to use and distribute, including commercial purposes. It provides large libraries that include fields like string operations, web service tools, operating system interfaces etc. Python has built-in list and dictionary data structures which can be used to construct fast runtime data structures. Syntax for python is easy to learn, hence programmers and even non-programmers can start programming right away. Why CodeGnan to be chosen to learn Python in Vijayawada? We as a team of real-time industrial experience with a lot of knowledge in developing applications in python programming (7+ years) will ensure that we will deliver our best in Python Training in Vijayawada, and we believe that no one matches us in this context. CURRICULUM Course Syllabus Z Part 1 Introduction to Python. Who is using Python today? Installation and setting up environment. Basic syntax. Built in data types. Z Part 2 Basic operators. Decision making. Loops. Numbers. Strings. Lists. Z Part 3 Tuples. Sets. Dictionary. Date and Time. Functions. Modules. Z Part 4 Packages. Sending Email. WhatsApp Message. Facebook Message. Files. Exceptions. Z Part 5 Classes. Regular Expressions. Database Access. Networking. Building Microservices. Working with git.

#python #python training #python training in vijayawada #codegnan

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inextures · 2 years ago

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Django meets GraphQL: A Powerful Combination

Assumption:

I’m assuming that y’all have some basic knowledge about Graphql & Django.

If not then kindly go through below link:

Graphql: https://graphql.org/learn/

Django:https://www.djangoproject.com/

Introduction

GraphQL is an open-source query language used to communicate data between the client and the server.

In this document our focus will be on integrating a GraphQL API into a Django project and effectively using it to query data as per our requirements.

ALWAYS FIRST STEP IS TO Set environment:

Create Virtual Environment

Enter the following command to create a new virtual environment with the name “myenv” (you can replace “myenv” with a your environment name):

python -m venv myenv

Once the virtual environment is created, you can activate it by entering the following command.

source myenv/bin/activate

Installation [ Django & Graphene-django ]

Check requirements & freeze it into relevant file.

First install django

Then install graphene-django library

pip install django

pip install graphene-django

Run command to freeze your requirements.txt file:-

pip freeze > requirements.txt

It will create requirements.txt file with all installed packages directory

Your requirements.txt look like as below:

Create django development project and relevant app in your project and configure with settings.py

Create models in model.py for the project in your app.

In the above image we create two models Class Category and Book. and added fields for the model Classes.

In the Book model we have added ‘-date_created’ in Meta class for orders according to the date they were created at.

Let’s register models in the app/admin.py file

Now run migrations to add our model in the database.

python manage.py makemigrations

python manage.py migrate

Once migration is done, run python manage.py runserver if the app is displayed on your browser, then you are on the right track.

Integrating GraphQL into our project

We will integrate GraphQL into our Django project.

Now, Add graphene_django to INSTALLED_APPS in your settings.py file.

Create schema

GraphQL is a query language with a powerful type system that can be used to define an API’s data structures. The GraphQL Schema is used to represent this information.

A schema is a contract between the client and the server that describes how the client can acquire the database.

You’ll need to add a Schema, Object Type and view function that receives the GraphQL queries to be able to perform GraphQL queries in your web application.

Let’s define our schema in the app directory. We’ll create a file called schema.py.

Add above image code in schema.py file.

We create schema for our two models (book and category). CategoryType and BookType is schema.

We also included DjangoObjectType: which uses GraphQL to display all fields on a model.

In ‘graphene.List’ List is object type we can use (nonNull, String, Enum)

class Query: inherits from ‘graphene.ObjectType’ and provides the setting for our graphql queries.

resolve_category , resolve_books are used to open up categories, books querysets. These methods take two parameters (root and info).

graphene.Schema: this query brings in data from our type(database).

Add GraphQL to URL

The only endpoint/API accessible to the client while working with GraphQL is /graphql. This is the only endpoint where clients can send requests and change data. In comparison to REST, we have fewer endpoints to manage.

Add graphql url in project’s urls.py file.

The url contains our endpoint, where our GraphQL communications will be made.

We imported GraphQLView which is a unique view provided by graphene_django which will be executed when GraphQL url is called.

We added a url called “ graphql ”. Then we set graphiql=True which will enable us to use graphiql (GraphQL IDE).

Originally published by: https://www.inexture.com/django-meets-graphql/

#django development #Graphql #python development #API #WebDevelopment #Schema

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smrakhann · 10 months ago

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Unlock Your Potential with the Python Course at Future Connect Training

Why Python?

Before diving into the specifics of the course offered by Future Connect Training, let's explore why Python is a language you should consider mastering:

Versatility: Python is used in various fields such as web development, data analysis, artificial intelligence, machine learning, and more. This versatility opens up numerous career opportunities.

Why Future Connect Training?

Choosing the right training institute is crucial for your success as a Python programmer. Future Connect Training stands out for several reasons:

Flexible Learning Options: Future Connect Training offers flexible learning schedules, including online classes, weekend sessions, and evening classes to accommodate your busy life.

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The Python course at Future Connect Training is designed to cater to both beginners and those with some programming experience. Here’s a detailed overview of what you can expect:

Module 1: Introduction to Python

Understanding Python and its history

Installing Python and setting up the development environment

Writing your first Python program

Module 2: Basic Python Syntax and Concepts

Variables, data types, and operators

Control structures (if statements, loops)

Functions and modules

Module 3: Data Structures

Lists, tuples, and dictionaries

Working with sets and strings

Advanced data structures

Module 4: Object-Oriented Programming

Classes and objects

Inheritance and polymorphism

Encapsulation and abstraction

Module 5: Working with Files and Exceptions

Reading and writing files

Handling exceptions and errors

Context managers

Module 6: Libraries and Frameworks

Introduction to popular Python libraries

Working with NumPy and Pandas for data analysis

Overview of web frameworks like Django and Flask

Module 7: Data Visualization

Creating plots with Matplotlib

Advanced visualization with Seaborn

Interactive plots with Plotly

Module 8: Introduction to Machine Learning

Understanding the basics of machine learning

Working with Scikit-learn

Building simple machine learning models

Module 9: Final Project

Applying all the concepts learned in a capstone project

Real-world problem solving

Presentation and code review

Career Support and Opportunities

Future Connect Training is dedicated to not just teaching you Python but also ensuring you succeed in your career. Here’s how they support you:

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Interview Preparation: Participate in mock interviews and get tips to excel in job interviews.

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Many students who have completed the Python course at Future Connect Training have gone on to achieve remarkable success in their careers. Here are a few testimonials:

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data-true-blog · 7 years ago

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Dialogus - A dialogue engine for Unity

I’ve been working on a dialogue engine for Unity (specifically, 2018.2.6) over the past few weeks that can be used in two different projects. I still have some work to do but I feel like I have a good starting point to discuss and post about it. If you want to see my progress, here’s a link to the Trello board I’m working on.

I’ve been working on a little thing called Dialogus which, as I said earlier, is a dialogue engine. It provides a large part of the back end for dialogue systems other than the actual dialogue UI itself. That part is up to the specific game to implement for things such as animations on the sprites, text animations, dialogue boxes, etc. Dialogus takes care of a lot of the heavy back end issues that are seen when trying to program your own dialogue tool in Unity. There are still a few things I want to add to the tool before I push it out and I want to test it on a larger game.

Originally, at least for one of the projects, I was going to use a system similar to what Brackey’s describes in this video. While this is in no way a bad system, if you’re using it for an expansive project, it can become quite cumbersome and disorganized. A few people from my college also tried implementing a variation of Brackey’s tool but quickly found that nesting things became ugly and worked poorly in the long run.

I knew I needed to write a tool that can be used in different types of games with different requirements. The project I am working on for Fishhead (a currently unnamed 2.5D platformer with dating sim elements) requires that it be useful in cut scenes and player/NPC interactions. For The Souls’ Sonata, from Mirror Studio, it’s going to be used in a visual novel setting. This means the engine will have to be optimized for lots of text, dialogue, and voice over work. In both cases, the dialogue tree presents a real challenge as it is the crux of both games.

Editor Features

The editor for Dialogus features a few things: a character creator, a variable declarer, and the all-essential dialogue tree editor. I’ll talk about each of these individually. I apologize now for only showing screenshots; I’m not too aware on the best way to record and make such in-engine presentations look good.

Character Creator

The character creator is a simple, lightweight aspect of Dialogus that has the sole purpose of containing each of the character’s names and sprites. It is a simple, inspector-based gadget that can automatically find the sprites of the character or allow you as the user to input your own sprites. I plan to expand this aspect to use custom folder paths but for now it works simply.

Dialogue Tree Editor

The Dialogue Tree Editor is the most interesting part to the entire tool. It allows users to build their trees up without code. The trees only rely on the Character Creator tool if you have sprites you want to use. You can still use the tool without a CHAR_X file or files, it just exists for the sake of making life easier when linking sprites to specific instances.

The editor currently supports three types of nodes: start, conversation, and choice.

The start node is the simplest of the three: it acts as the initial position to the rest of the tree. If all goes well, it should hopefully be Node 0 in the tree but some things happen and it isn’t. The editor does not allow you to place any other nodes until the start node has been placed.

The conversation node is the pivotal node as it is what most games will rely on. I also bet it will be the most nodes in a single tree unless you have a questionnaire or something similar.

The choice node is the next most interesting node and is the last of the three to have been implemented. The choice node currently supports up to 8 possible branches/choices/paths. Below is a sample from a quick test from within the editor.

Variable Editor

The Variable Editor is a very simple tool, similar to that of the Character Creator. It allows you to create and initialize variables to specific values. Say you want a money counter or to see if the player has a certain item or if you want paths to be limited based off of a relationship with a given character, you’d use the variable editor to make these. As well, you can use these in the connection editor to direct pathing as stated just over a sentence ago.

Connection Editor

The Connection Editor is a simple little window similar to that of the variable editor. You left-click on a connection and you can pull up the window to it. Here, you can add any number of conditions to the path as you’d like. For right now, the conditions must all be met but I do plan on allowing conditionals where one of the conditions need to be met. This will be implemented sooner than later, in fact.

Back-end Information

Dialogus uses NetwonSoft’s JSON library as information is represented in the JSON format (because XML is just a pain for this case IMO). This is the library’s only dependency as it has been tested for years at this point and is widely trusted for JSON de-serialization.

Why not use Unity’s in-engine deserialize components? Simply because it’s support is far more limited. As the tool is further in development, and better ideas are found/implemented, the tool may switch to the lighter-weight Unity packages.

Dialogus has it’s own loader/tree traversal methods that you can call. The only function programmers need to worry about is NextNode(Node).

How does this differentiate from tools like Fungus?

Fungus is a general purpose engine that has the ability to be used in visual novels and games alike. The issue I found with it is it relies on Lua programming and it’s organization for conversations can be quite cumbersome. Dialogus removes a bit of these issues because it allows for each node to be seen and edited rather than hunting inside each of the nodes to find the specific conversation piece.

Why should I use this tool instead of something like RenPy?

You don’t have to use Python.

...

I kid, Python is a good language for certain tasks. It’s a tool in the tool belt that should always be considered.

In reality, it’s a good way to enable freedom for visual novel games. RenPy I find to be limiting in its own right. It’s documentation is something I also have an issue with as it is lacking compared to other resources. Of course, this will be improved over time hopefully. While it’s great for some types of visual novels, it is limited in its capacity to serve other functions for more ambitious VNs. Unity affords you such freedom to experiment and write your own systems. This tool takes care of the daunting task and question of “how do I write a dialogue tree in Unity?”

Are there any plans to support animations in the dialogues?

There are plans to support basic animation stuff (like ‘shaking,’ ‘jumping,’ etc.) however it’s a very, very low priority. There are better things that the tool can use over animations at this point but they may very well come.

What do I have to write/create?

The only scripts you have to write are a manager script to interact with Dialogus’s external facing tools. You have access to Dialogus’s node types (using enum values) as the traverser returns a generic Node object rather than a specific instance of the node. You also have to make your own GUI system (supplying Text for strings and RawImage objects for sprites). Dialogus acts as a way to hold data you need for interactions.

At the very end of the development, I plan on writing a basic dialogue manager so that way people who are not programming savy can quickly implement their dialogue trees while they wait for programmers to free up.

When will the tool be available on the Unity Asset store and will it be paid for?

Not too sure, but it isn’t gong to take another good month or two of development to get there when it’ll be available but I’m even more unsure of whether or not to monetize the tool. It will definitely go to the Asset store once I feel it is ready though.

Challenges Ahead

There are a few things that I’m particularly seeing as obstacles the tool will have to overcome:

Translation/multi-language games: Currently Dialogus only supports one tree language at a time be it English, Arabic, Japanese, Spanish, or Russian. I need to solve the issue of how to have one tree with the ability to use any language. This may come down to reworking many of the lower systems in the tool itself.

Optimizations: While general optimizations can (and very much will) happen, the issue comes down to optimizing how files are saved, loaded, read, etc. These could potentially throw off older versions of Dialogus and prevent newer versions from being able to read old data. The basic solution to this is use only the version you have downloaded on the project but I want to do some more testing on this.

External Issues: My biggest fear comes down to managing the project properly. I’m still just a student at this point so exams and the like come first but, more importantly, dealing with burnout. With so many tasks to do outside of this project, Dialogus will be a slow growing tool until the end of this semester.

Breaking the Unix development style: I want Dialogus to be an amazing dialogue engine. That means I don’t want it to do anything else other than that. Some features will have to be tossed out that I plan, or others want, simply because it breaks the Unix cycle. I’m one person working on this right now.

#unity3d #unitytools #dialogus #the souls' sonata #mirror studio #fishhead #dialogue engine #c-sharp

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secondlong · 3 years ago

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Javascript convert string to date

JAVASCRIPT CONVERT STRING TO DATE HOW TO

JAVASCRIPT CONVERT STRING TO DATE CODE

Template literals (Template Strings) are string literals that allow us to embed expressions. Use the Template Literals to Convert an Integer to a String in JavaScript The typeof() function here tells the datatype of the variable in JavaScript. On adding a string, the number gets automatically converted to a string.

JAVASCRIPT CONVERT STRING TO DATE CODE

This is one of the fastest methods to convert a number to a string.Ĭalculator In JavaScript Source Code freeload | 2020 JavaScript Projects With Source Code string In this method, we add '' before or after the number to convert it to a string. Single quotes and double quotes are used to represent a string in programming. Use '' to Convert an Integer to a String in JavaScript

JAVASCRIPT CONVERT STRING TO DATE HOW TO

In this tutorial, different methods are discussed on how to a number to a string in JavaScript. Integers represent numbers, and the string data type defines the textual data. Numbers and strings are primitive datatypes in Python. Use the toString() Function to Convert an Integer to a String in JavaScript.Use the String() Function to Convert an Integer to a String in JavaScript.Use the Template Literals to Convert an Integer to a String in JavaScript.Use '' to Convert an Integer to a String in JavaScript.For better understandability, different examples are also provided. This post briefly demonstrates the purpose and working of the date.toString() method in JavaScript. The date.toString() method does not accept any arguments and just converts the provided date/time to a string. The Date toString() method is applied on the date object. In JavaScript, the date.toString() method is utilized to display the date and time in a string format. In the output, the value presented in the date object is converted into string and is printed on the browser. In our case, we have used 3 (as the month value) which refers to the April month. Note: While using the date.toString() method, the 0 refers to the January and 11 represents the December month. In the end, using the document.writeln() method is utilized to display the string format in the browser. After that, the toString() method is utilized to transform the numerical information into the string format. These values are saved in the date object. In this example, numerical values are passed to the built-in Date() method. Example 2: Using the Date toString ( ) method This method converts the information into the string format. Example 2: To Convert the User Defined Date to StringĪnother example is given here by employing the toString() method. Upon pressing the button, the current date, day, and time is displayed on the browser. The outcome of the above code is presented here. In the end, the string is assigned to the HTML element (whose id=test) for display in the browser.After that, the toString() method is applied on the object named date and the result is stored in a string variable.The Date() method contains the current date/time. In the myFunction(), an object of the Date() is created.A function named myFunction() is created that will be called on the onclick event of the button.The description of the above code is provided here: ĭocument.getElementById ( "test" ).innerHTML = string Press button to display the date and time as a string. Example 1: Using the Date toString ( ) method

#Javascript convert string to date

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