Certified Associate in Python Programming certification focuses on the Object-Oriented Programming approach to Python, and shows that the individual is familiar with the more advanced aspects of programming, including the essentials of OOP, the essentials of modules and packages, the exception handling mechanism in OOP, advanced operations on strings, list comprehensions, lambdas, generators, closures, and file processing.
PCAP™ certification gives its holders confidence in their programming skills, helps them stand out in the job market, and gives them a head start on preparing for and advancing to the professional level.
Python is the programming language that opens more doors than any other, and the more you understand Python, the more you can do in the 21st Century. With a solid knowledge of Python, you can work in a multitude of jobs and a multitude of industries.
Python is either the highest-paid, or one of the highest-paid languages in all parts of the world today, and the salaries range between $90,000 and $130,000 a year (source: SalaryExpert.com).
With the ever-increasing reliance on the Internet, and with Python playing an ever-growing role, the salary of the average Python programmer is almost surely to rise.
Currently, there are 100,000+ unfulfilled Python jobs around the world, and the supply of qualified Python programmers is unable to match the demand.
Certified Associate in Python Programming Online Training
This intermediate Certified Associate in Python Programming training prepares learners to take the PCAP-31-03 exam, which is the one exam required to earn the PCAP certification.
Python is one of the simplest, most accessible programming languages around today, and it's hard to imagine a developer who won't benefit from knowing it. Python always seems to show up everywhere.
Developers who work with data scientists and researchers rely on the hundreds of scientific libraries to extend Python for their work. Developers working with tech startups love Python's ease of use and scalability -- perfect for building simple solutions that you know can explode when the company does. No matter where you develop, or how, learning Python will either accelerate your career, or start it on the right foot.
For anyone who manages developers, this Python training can be used for PCAP-31-03 exam prep, onboarding new developers, individual or team training plans, or as a Linux Foundation reference resource.
PCAP: What You Need to Know
This Python training covers PCAP-31-03 exam objectives, including these topics:
Recognizing basic concepts of Python: indenting, compilation, operators, and expressions
Coding with the Python language to accomplish basic programming tasks
Incorporating conditional execution, loops, Python syntax and semantics into code
Writing good code that leverages object-oriented programming
Defining and invoking your own functions and generators
Who Should Take PCAP Training?
This document provides an introduction to programming languages and Python. It discusses what a program is, different categories of software, and types of programming languages including machine language, assembly language, and high-level languages. It also covers programming paradigms like imperative, logical, functional, and object-oriented. The document outlines the software development life cycle and describes key areas where Python is commonly used like academia, scientific tools, machine learning, and web development.
Computer programming involves writing instructions for a computer in a programming language. It is done through programming languages that have specific syntax and keywords. There are low-level languages like machine code and assembly that are closer to what computers can understand directly, and high-level languages that are easier for humans like Python and Java but need to be compiled into machine code. Programs are made up of objects, variables, operations and control flow statements. Programming provides benefits like developing problem-solving skills and is a lucrative career.
Computer programming involves writing instructions for a computer in a specific programming language. It is the process of creating computer software. There are many programming languages that are used for different purposes. Programming languages have evolved from low-level machine languages that are difficult for humans to read to high-level languages that are easier to use. High-level languages must be translated into machine code before a computer can execute them. Computer programs use logic, variables, and other programming elements to perform tasks. Programming provides benefits such as meeting demand for software and developing important job skills.
Computer programming involves writing instructions for a computer in a particular programming language. It is done by writing source code which is then translated by compilers, interpreters or assemblers into object code that computers can understand. There are many programming languages at different levels, with high-level languages being easier for humans but slower for computers compared to machine-level languages. Popular high-level languages include Java, Python and C++, which allow programmers to focus on solving problems without worrying about the specific computer hardware.
This presentation is a part of the COP2271C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce Freshmen students to both the process of software development and to the Python language.
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
A video of Dr. Anderson using these slides is available on YouTube at: https://www.youtube.com/watch?feature=player_embedded&v=_LxfIQuFALY
This document is the first lesson in a course on the structure of programming languages. It introduces the learning outcomes, which are to explain the reasons for studying programming language concepts and describe different programming domains. Some key points covered include the reasons for studying programming language concepts like increased ability to express ideas, better choosing appropriate languages, and improved understanding of implementation. It also outlines several programming domains like scientific applications, business applications, artificial intelligence, systems programming, and web software.
This document provides an introduction to Python programming. It outlines the key learning objectives of understanding basic programming concepts, decision making statements, and GUI applications using Python code. It then covers various topics related to Python programming including the history and versions of Python, why it is a good language to learn, its characteristics and applications. It also discusses Python environments including interactive and script modes.
This document provides an introduction to programming languages and Python. It discusses what a program is, different categories of software, and types of programming languages including machine language, assembly language, and high-level languages. It also covers programming paradigms like imperative, logical, functional, and object-oriented. The document outlines the software development life cycle and describes key areas where Python is commonly used like academia, scientific tools, machine learning, and web development.
Computer programming involves writing instructions for a computer in a programming language. It is done through programming languages that have specific syntax and keywords. There are low-level languages like machine code and assembly that are closer to what computers can understand directly, and high-level languages that are easier for humans like Python and Java but need to be compiled into machine code. Programs are made up of objects, variables, operations and control flow statements. Programming provides benefits like developing problem-solving skills and is a lucrative career.
Computer programming involves writing instructions for a computer in a specific programming language. It is the process of creating computer software. There are many programming languages that are used for different purposes. Programming languages have evolved from low-level machine languages that are difficult for humans to read to high-level languages that are easier to use. High-level languages must be translated into machine code before a computer can execute them. Computer programs use logic, variables, and other programming elements to perform tasks. Programming provides benefits such as meeting demand for software and developing important job skills.
Computer programming involves writing instructions for a computer in a particular programming language. It is done by writing source code which is then translated by compilers, interpreters or assemblers into object code that computers can understand. There are many programming languages at different levels, with high-level languages being easier for humans but slower for computers compared to machine-level languages. Popular high-level languages include Java, Python and C++, which allow programmers to focus on solving problems without worrying about the specific computer hardware.
This presentation is a part of the COP2271C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce Freshmen students to both the process of software development and to the Python language.
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
A video of Dr. Anderson using these slides is available on YouTube at: https://www.youtube.com/watch?feature=player_embedded&v=_LxfIQuFALY
This document is the first lesson in a course on the structure of programming languages. It introduces the learning outcomes, which are to explain the reasons for studying programming language concepts and describe different programming domains. Some key points covered include the reasons for studying programming language concepts like increased ability to express ideas, better choosing appropriate languages, and improved understanding of implementation. It also outlines several programming domains like scientific applications, business applications, artificial intelligence, systems programming, and web software.
This document provides an introduction to Python programming. It outlines the key learning objectives of understanding basic programming concepts, decision making statements, and GUI applications using Python code. It then covers various topics related to Python programming including the history and versions of Python, why it is a good language to learn, its characteristics and applications. It also discusses Python environments including interactive and script modes.
Computer-charecteristics,types of languages,translatorsVarshaSivashanker
Computer is an electronic device that can perform calculations at high speed and store, process, and retrieve data. It has characteristics like being automatic, fast, accurate, diligent, versatile, and having memory and the power to remember. Early computers included the Mark I, Atanasoff-Berry Computer, ENIAC, EDVAC, and EDSAC. Computer languages allow humans to communicate with computers and include machine language, assembly language, and high level languages. Translators like compilers and interpreters are used to convert high level languages into machine code.
Programming Fundamentals and Programming Languages Conceptsimtiazalijoono
Programming Fundamentals:
What is a Computer?
Software & Hardware?
Operating System
Programming Languages Concepts
Why do we need programming languages?
Why C Still Useful?
This document provides an overview of computer languages, including machine language, assembly language, and high-level languages. It discusses the steps involved in developing a program from writing source code to execution. Key aspects covered include compilers translating source code to machine code, interpreters translating statements sequentially, and assemblers translating assembly language to machine code.
This document provides an overview of computer languages, including machine language, assembly language, and high-level languages. It discusses the steps involved in developing a program from writing source code to execution. Key aspects covered include compilers translating source code to machine code, interpreters translating statements sequentially, and assemblers translating assembly language to machine code.
This document provides information about a programming languages concepts course, including details about the course code, title, lecturer, and description. The course aims to describe the evolution of programming languages and understand different computation models or paradigms like imperative, functional, logic and object-oriented programming. It will cover topics like syntax, semantics, data types, expressions and control structures over 13 weeks. Students will complete an assignment on MATLAB/Octave and two term exams. The course objectives are listed as understanding different programming language paradigms and concepts to select the proper language to solve problems.
Lec21&22.pptx programing language and there studysamiullahamjad06
Programming languages can be categorized based on their level of abstraction from the machine. Low-level languages like machine language and assembly language are closer to the machine while high-level languages are more abstract. High-level languages are easier for humans to read and write but require compilers or interpreters to convert them to machine language. Common high-level languages include FORTRAN, COBOL, BASIC, Pascal, C, C++ and newer languages like JavaScript and Python.
This document discusses different programming paradigms and languages. It describes batch programs which run without user interaction and event-driven programs which respond to user events. It lists many popular programming languages from Machine Language to Java and C#, and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses language translators like compilers, interpreters, and assemblers and how they convert code between languages. Finally, it covers testing, debugging, and different types of errors in code like syntax, semantic, and run-time errors.
This document discusses different programming paradigms and languages. It describes batch programs which run without user interaction and event-driven programs which respond to user events. It lists many popular programming languages from Machine Language to Java and C#, and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses the different types of language translators like compilers, interpreters, and assemblers and how they convert code between languages. Finally, it covers testing, debugging, and different types of errors in programming.
This document provides an overview of programming paradigms and languages. It discusses batch programs which run without user interaction and process input data. It also discusses event-driven programs which respond to events like user clicks or system updates. The document lists many programming languages throughout history from machine language to modern languages like Java and C#. It defines programming languages and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses language translators like compilers, interpreters, and assemblers that convert languages to machine code.
Language translators Of Programming in Computer scienceRaianaTabitha
Computer is just a dumb machine made up of different electronic components. It is like a box which cannot do anything by itself. It is the user who tells the computer “what it has to do?”
Why Programming?
If we need our computer to perform some task, we first have to teach the computer in detail “how it will accomplish ??
Why Programming? Programming is more about problem solving skills than writing the code itself.
•Programming teaches you how to understand, analyze and solve the problems. It enhances your analytical reasoning abilities and helps you cope with daily real life problems as well.
•Hence learning to program is important because it develops analytical and problem solving abilities.
Programming Language
12
•A programming language is an artificial language designed to communicate instructions to a computer.
Programming Language
A formal computer language that includes a controlled vocabulary and set of grammatical rules designed to instruct a computer how to perform specific tasks. Programming languages are used to create programs to control the behavior of a machine or to express algorithms. The description of a programming language is usually split into two components: syntax (form) and semantics (meaning).
•A programming language is a notation for writing
computer programming language, any of various languages for expressing a set of detailed instructions for a digital computer. Such instructions can be executed directly when they are in the computer manufacturer-specific numerical form known as machine language, after a simple substitution process when expressed in a corresponding assembly language, or after translation from some “higher-level” language. Although there are many computer languages, relatively few are widely used.
Language types
Machine and assembly languages
A machine language consists of the numeric codes for the operations that a particular computer can execute directly. The codes are strings of 0s and 1s, or binary digits (“bits”), which are frequently converted both from and to hexadecimal (base 16) for human viewing and modification. Machine language instructions typically use some bits to represent operations, such as addition, and some to represent operands, or perhaps the location of the next instruction. Machine language is difficult to read and write, since it does not resemble conventional mathematical notation or human language, and its codes vary from computer to computer.
Assembly language is one level above machine language. It uses short mnemonic codes for instructions and allows the programmer to introduce names for blocks of memory that hold data. One might thus write “add pay, total” instead of “0110101100101000” for an instruction that adds two numbers.
Algorithmic languages
Algorithmic languages are designed to express mathematical or symbolic computations. They can express algebraic operations in notation similar to mathematics and allows it.
Before Starting Python Programming LanguageKishan Tongrao
The stuff we don't care but we should know before starting python programming language.
It contains:
Advantage of becoming a programmer
History of programming languages
History of python programming language
What is language?
What is a programming language?
Low and High-Level language
Compiler and Interpreter
The document discusses different types of programming languages: machine language uses binary; assembly language uses symbols but still maps to binary; and high-level languages are abstracted from hardware and use English-like syntax. It provides details on each type, including their advantages like efficiency for machine language or readability for high-level languages, and disadvantages like lack of portability or required translation.
Introduction to Python Programming BasicsDhana malar
Python is a popular high-level programming language that can be used for a wide range of applications from simple scripts to complex machine learning programs. It has a simple syntax, extensive standard library, and support for code reuse through modules and packages. Some key strengths of Python include its huge collection of standard libraries for tasks like machine learning, web development, scientific computing, and more. It is also an interpreted language, making it easy to learn and use for both simple and complex programming tasks.
The document provides an overview of the history and key features of the Python programming language. It discusses that Python was created in 1989 by Guido van Rossum as an easy to use scripting language. It gained popularity through its open source model and large standard library. Key features include being easy to learn, having a clear readable syntax, being interpreted, object-oriented, cross-platform, and having a vast library of functions. Popular applications of Python include GUI programs, web development, science, education, and more.
The document discusses programming languages and their importance. It covers the following key points:
- A programming language allows computation to be described in both machine-readable and human-readable form. Most languages today are high-level languages.
- Studying programming languages improves one's ability to choose the right language for a task, learn new languages, and better understand how language features are implemented.
- Major programming domains include scientific, business, artificial intelligence, systems, and web applications. Each domain utilizes languages suited to its particular needs and purposes.
This document provides an introduction to computer programming and programming languages. It discusses what a program and software are, and explains that programs are written using programming languages. It then covers different types of programming languages, including low-level languages like machine language and assembly language, as well as high-level languages like procedural languages, problem-oriented languages, and the concept of natural languages. Specific programming languages like C++ are presented as examples. The advantages and disadvantages of both low-level and high-level languages are summarized.
This document discusses computer languages from first to fourth generation. It describes that machine language uses 0s and 1s and is difficult for humans, while assembly language uses mnemonic codes to make it easier for users. High-level languages like C and Java are the most user-friendly as they are similar to English. Fourth generation languages are designed to reduce development time and costs. The document provides examples and details about each type of language.
The document provides an overview of an introductory programming course titled "Principles of Programming CP 111". The summary is:
The course covers basic programming concepts like data types, program structure, algorithms, and decision and loop structures. It includes 3 tests, 3 quizzes, 9 lectures, and tutorials. Students will learn about programming languages, their history and uses in different domains like science, business and AI. The course also discusses compilation, interpretation, and different programming paradigms.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Computer-charecteristics,types of languages,translatorsVarshaSivashanker
Computer is an electronic device that can perform calculations at high speed and store, process, and retrieve data. It has characteristics like being automatic, fast, accurate, diligent, versatile, and having memory and the power to remember. Early computers included the Mark I, Atanasoff-Berry Computer, ENIAC, EDVAC, and EDSAC. Computer languages allow humans to communicate with computers and include machine language, assembly language, and high level languages. Translators like compilers and interpreters are used to convert high level languages into machine code.
Programming Fundamentals and Programming Languages Conceptsimtiazalijoono
Programming Fundamentals:
What is a Computer?
Software & Hardware?
Operating System
Programming Languages Concepts
Why do we need programming languages?
Why C Still Useful?
This document provides an overview of computer languages, including machine language, assembly language, and high-level languages. It discusses the steps involved in developing a program from writing source code to execution. Key aspects covered include compilers translating source code to machine code, interpreters translating statements sequentially, and assemblers translating assembly language to machine code.
This document provides an overview of computer languages, including machine language, assembly language, and high-level languages. It discusses the steps involved in developing a program from writing source code to execution. Key aspects covered include compilers translating source code to machine code, interpreters translating statements sequentially, and assemblers translating assembly language to machine code.
This document provides information about a programming languages concepts course, including details about the course code, title, lecturer, and description. The course aims to describe the evolution of programming languages and understand different computation models or paradigms like imperative, functional, logic and object-oriented programming. It will cover topics like syntax, semantics, data types, expressions and control structures over 13 weeks. Students will complete an assignment on MATLAB/Octave and two term exams. The course objectives are listed as understanding different programming language paradigms and concepts to select the proper language to solve problems.
Lec21&22.pptx programing language and there studysamiullahamjad06
Programming languages can be categorized based on their level of abstraction from the machine. Low-level languages like machine language and assembly language are closer to the machine while high-level languages are more abstract. High-level languages are easier for humans to read and write but require compilers or interpreters to convert them to machine language. Common high-level languages include FORTRAN, COBOL, BASIC, Pascal, C, C++ and newer languages like JavaScript and Python.
This document discusses different programming paradigms and languages. It describes batch programs which run without user interaction and event-driven programs which respond to user events. It lists many popular programming languages from Machine Language to Java and C#, and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses language translators like compilers, interpreters, and assemblers and how they convert code between languages. Finally, it covers testing, debugging, and different types of errors in code like syntax, semantic, and run-time errors.
This document discusses different programming paradigms and languages. It describes batch programs which run without user interaction and event-driven programs which respond to user events. It lists many popular programming languages from Machine Language to Java and C#, and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses the different types of language translators like compilers, interpreters, and assemblers and how they convert code between languages. Finally, it covers testing, debugging, and different types of errors in programming.
This document provides an overview of programming paradigms and languages. It discusses batch programs which run without user interaction and process input data. It also discusses event-driven programs which respond to events like user clicks or system updates. The document lists many programming languages throughout history from machine language to modern languages like Java and C#. It defines programming languages and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses language translators like compilers, interpreters, and assemblers that convert languages to machine code.
Language translators Of Programming in Computer scienceRaianaTabitha
Computer is just a dumb machine made up of different electronic components. It is like a box which cannot do anything by itself. It is the user who tells the computer “what it has to do?”
Why Programming?
If we need our computer to perform some task, we first have to teach the computer in detail “how it will accomplish ??
Why Programming? Programming is more about problem solving skills than writing the code itself.
•Programming teaches you how to understand, analyze and solve the problems. It enhances your analytical reasoning abilities and helps you cope with daily real life problems as well.
•Hence learning to program is important because it develops analytical and problem solving abilities.
Programming Language
12
•A programming language is an artificial language designed to communicate instructions to a computer.
Programming Language
A formal computer language that includes a controlled vocabulary and set of grammatical rules designed to instruct a computer how to perform specific tasks. Programming languages are used to create programs to control the behavior of a machine or to express algorithms. The description of a programming language is usually split into two components: syntax (form) and semantics (meaning).
•A programming language is a notation for writing
computer programming language, any of various languages for expressing a set of detailed instructions for a digital computer. Such instructions can be executed directly when they are in the computer manufacturer-specific numerical form known as machine language, after a simple substitution process when expressed in a corresponding assembly language, or after translation from some “higher-level” language. Although there are many computer languages, relatively few are widely used.
Language types
Machine and assembly languages
A machine language consists of the numeric codes for the operations that a particular computer can execute directly. The codes are strings of 0s and 1s, or binary digits (“bits”), which are frequently converted both from and to hexadecimal (base 16) for human viewing and modification. Machine language instructions typically use some bits to represent operations, such as addition, and some to represent operands, or perhaps the location of the next instruction. Machine language is difficult to read and write, since it does not resemble conventional mathematical notation or human language, and its codes vary from computer to computer.
Assembly language is one level above machine language. It uses short mnemonic codes for instructions and allows the programmer to introduce names for blocks of memory that hold data. One might thus write “add pay, total” instead of “0110101100101000” for an instruction that adds two numbers.
Algorithmic languages
Algorithmic languages are designed to express mathematical or symbolic computations. They can express algebraic operations in notation similar to mathematics and allows it.
Before Starting Python Programming LanguageKishan Tongrao
The stuff we don't care but we should know before starting python programming language.
It contains:
Advantage of becoming a programmer
History of programming languages
History of python programming language
What is language?
What is a programming language?
Low and High-Level language
Compiler and Interpreter
The document discusses different types of programming languages: machine language uses binary; assembly language uses symbols but still maps to binary; and high-level languages are abstracted from hardware and use English-like syntax. It provides details on each type, including their advantages like efficiency for machine language or readability for high-level languages, and disadvantages like lack of portability or required translation.
Introduction to Python Programming BasicsDhana malar
Python is a popular high-level programming language that can be used for a wide range of applications from simple scripts to complex machine learning programs. It has a simple syntax, extensive standard library, and support for code reuse through modules and packages. Some key strengths of Python include its huge collection of standard libraries for tasks like machine learning, web development, scientific computing, and more. It is also an interpreted language, making it easy to learn and use for both simple and complex programming tasks.
The document provides an overview of the history and key features of the Python programming language. It discusses that Python was created in 1989 by Guido van Rossum as an easy to use scripting language. It gained popularity through its open source model and large standard library. Key features include being easy to learn, having a clear readable syntax, being interpreted, object-oriented, cross-platform, and having a vast library of functions. Popular applications of Python include GUI programs, web development, science, education, and more.
The document discusses programming languages and their importance. It covers the following key points:
- A programming language allows computation to be described in both machine-readable and human-readable form. Most languages today are high-level languages.
- Studying programming languages improves one's ability to choose the right language for a task, learn new languages, and better understand how language features are implemented.
- Major programming domains include scientific, business, artificial intelligence, systems, and web applications. Each domain utilizes languages suited to its particular needs and purposes.
This document provides an introduction to computer programming and programming languages. It discusses what a program and software are, and explains that programs are written using programming languages. It then covers different types of programming languages, including low-level languages like machine language and assembly language, as well as high-level languages like procedural languages, problem-oriented languages, and the concept of natural languages. Specific programming languages like C++ are presented as examples. The advantages and disadvantages of both low-level and high-level languages are summarized.
This document discusses computer languages from first to fourth generation. It describes that machine language uses 0s and 1s and is difficult for humans, while assembly language uses mnemonic codes to make it easier for users. High-level languages like C and Java are the most user-friendly as they are similar to English. Fourth generation languages are designed to reduce development time and costs. The document provides examples and details about each type of language.
The document provides an overview of an introductory programming course titled "Principles of Programming CP 111". The summary is:
The course covers basic programming concepts like data types, program structure, algorithms, and decision and loop structures. It includes 3 tests, 3 quizzes, 9 lectures, and tutorials. Students will learn about programming languages, their history and uses in different domains like science, business and AI. The course also discusses compilation, interpretation, and different programming paradigms.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Odoo releases a new update every year. The latest version, Odoo 17, came out in October 2023. It brought many improvements to the user interface and user experience, along with new features in modules like accounting, marketing, manufacturing, websites, and more.
The Odoo 17 update has been a hot topic among startups, mid-sized businesses, large enterprises, and Odoo developers aiming to grow their businesses. Since it is now already the first quarter of 2024, you must have a clear idea of what Odoo 17 entails and what it can offer your business if you are still not aware of it.
This blog covers the features and functionalities. Explore the entire blog and get in touch with expert Odoo ERP consultants to leverage Odoo 17 and its features for your business too.
An Overview of Odoo ERP
Odoo ERP was first released as OpenERP software in February 2005. It is a suite of business applications used for ERP, CRM, eCommerce, websites, and project management. Ten years ago, the Odoo Enterprise edition was launched to help fund the Odoo Community version.
When you compare Odoo Community and Enterprise, the Enterprise edition offers exclusive features like mobile app access, Odoo Studio customisation, Odoo hosting, and unlimited functional support.
Today, Odoo is a well-known name used by companies of all sizes across various industries, including manufacturing, retail, accounting, marketing, healthcare, IT consulting, and R&D.
The latest version, Odoo 17, has been available since October 2023. Key highlights of this update include:
Enhanced user experience with improvements to the command bar, faster backend page loading, and multiple dashboard views.
Instant report generation, credit limit alerts for sales and invoices, separate OCR settings for invoice creation, and an auto-complete feature for forms in the accounting module.
Improved image handling and global attribute changes for mailing lists in email marketing.
A default auto-signature option and a refuse-to-sign option in HR modules.
Options to divide and merge manufacturing orders, track the status of manufacturing orders, and more in the MRP module.
Dark mode in Odoo 17.
Now that the Odoo 17 announcement is official, let’s look at what’s new in Odoo 17!
What is Odoo ERP 17?
Odoo 17 is the latest version of one of the world’s leading open-source enterprise ERPs. This version has come up with significant improvements explained here in this blog. Also, this new version aims to introduce features that enhance time-saving, efficiency, and productivity for users across various organisations.
Odoo 17, released at the Odoo Experience 2023, brought notable improvements to the user interface and added new functionalities with enhancements in performance, accessibility, data analysis, and management, further expanding its reach in the market.
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
Nomination are Open!! Don't Miss it
Visit: computer.scifat.com
Award Nomination: https://x-i.me/ishnom
Conference Submission: https://x-i.me/anicon
For Enquiry: Computer@scifat.com
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
The Rising Future of CPaaS in the Middle East 2024Yara Milbes
Explore "The Rising Future of CPaaS in the Middle East in 2024" with this comprehensive PPT presentation. Discover how Communication Platforms as a Service (CPaaS) is transforming communication across various sectors in the Middle East.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
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These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
2. • In this module, you will learn about:
• the fundamentals of computer programming, i.e., how the computer works, how the
program is executed, how the programming language is defined and constructed;
• the difference between compilation and interpretation
• what Python is, how it is positioned among other programming languages, and what
distinguishes the different versions of Python.
3. How does a computer program work?
This course aims to show you what the
Python language is and what it is used for.
Let's start from the absolute basics.
4. • A program makes a computer usable. Without a program, a computer, even the most
powerful one, is nothing more than an object. Similarly, without a player, a piano is
nothing more than a wooden box.
5. • Computers are able to perform very complex tasks, but this ability is not innate. A
computer's nature is quite different.
• It can execute only extremely simple operations. For example, a computer cannot
understand the value of a complicated mathematical function by itself, although this
isn't beyond the realms of possibility in the near future.
• Contemporary computers can only evaluate the results of very fundamental
operations, like adding or dividing, but they can do it very fast, and can repeat these
actions virtually any number of times.
6. • Imagine that you want to know the average speed you've reached during a long
journey. You know the distance, you know the time, you need the speed.
• Naturally, the computer will be able to compute this, but the computer is not aware of
such things as distance, speed, or time. Therefore, it is necessary to instruct the
computer to:
• accept a number representing the distance;
• accept a number representing the travel time;
• divide the former value by the latter and store the result in the memory;
• display the result (representing the average speed) in a readable format.
7. Natural languages vs. programming
languages
• A language is a means (and a tool) for expressing and recording
thoughts. There are many languages all around us. Some of them
require neither speaking nor writing, such as body language; it's
possible to express your deepest feelings very precisely without
saying a word.
• Another language you use each day is your mother tongue, which
you use to manifest your will and to ponder reality. Computers
have their own language, too, called machine language, which is
very rudimentary.
8. • A computer, even the most technically sophisticated, is devoid of even a trace of
intelligence. You could say that it is like a well-trained dog - it responds only to a
predetermined set of known commands.
• The commands it recognizes are very simple. We can imagine that the computer
responds to orders like "take that number, divide by another and save the result".
9. • A complete set of known commands is called an instruction list, sometimes
abbreviated to IL. Different types of computers may vary depending on the size of
their ILs, and the instructions could be completely different in different models.
• Note: machine languages are developed by humans.
• No computer is currently capable of creating a new language. However, that may
change soon. Just as people use a number of very different languages, machines
have many different languages, too. The difference, though, is that human languages
developed naturally.
• Moreover, they are still evolving, and new words are created every day as old words
disappear. These languages are called natural languages.
10. What makes a language?
• We can say that each language (machine or natural, it doesn't matter)
consists of the following elements:
• an alphabet: a set of symbols used to build words of a certain
language (e.g., the Latin alphabet for English, the Cyrillic alphabet for
Russian, Kanji for Japanese, and so on)
• a lexis: (aka a dictionary) a set of words the language offers its users
(e.g., the word "computer" comes from the English language
dictionary, while "cmoptrue" doesn't; the word "chat" is present both
in English and French dictionaries, but their meanings are different)
• a syntax: a set of rules (formal or informal, written or felt intuitively)
used to determine if a certain string of words forms a valid sentence
(e.g., "I am a python" is a syntactically correct phrase, while "I a
python am" isn't)
• semantics: a set of rules determining if a certain phrase makes sense
(e.g., "I ate a doughnut" makes sense, but "A doughnut ate me"
doesn't)
11. • The IL is, in fact, the alphabet of a machine language. This is the simplest and most
primary set of symbols we can use to give commands to a computer. It's the
computer's mother tongue.
• Unfortunately, this tongue is a far cry from a human mother tongue. We all (both
computers and humans) need something else, a common language for computers
and humans, or a bridge between the two different worlds.
• We need a language in which humans can write their programs and a language that
computers may use to execute the programs, one that is far more complex than
machine language and yet far simpler than natural language.
12. • Such languages are often called high-level programming languages. They are at least
somewhat similar to natural ones in that they use symbols, words and conventions readable to
humans. These languages enable humans to express commands to computers that are much
more complex than those offered by ILs.
• A program written in a high-level programming language is called a source code (in contrast
to the machine code executed by computers). Similarly, the file containing the source code is
called the source file.
13. Compilation vs. interpretation
• Computer programming is the act of composing the selected
programming language's elements in the order that will cause
the desired effect. The effect could be different in every specific
case - it's up to the programmer's imagination, knowledge and
experience.
14. Of course, such a composition has to be correct in many senses:
• alphabetically - a program needs to be written in a recognizable script, such as Roman,
script, such as Roman, Cyrillic, etc.
• lexically - each programming language has its dictionary and you need to master it;
need to master it; thankfully, it's much simpler and smaller than the dictionary of any
natural language;
• syntactically - each language has its rules and they must be obeyed;
obeyed;
• semantically - the program has to make sense.
15. • Unfortunately, a programmer can also make mistakes with each of the above four
senses. Each of them can cause the program to become completely useless.
• Let's assume that you've successfully written a program. How do we persuade the
computer to execute it? You have to render your program into machine language.
Luckily, the translation can be done by a computer itself, making the whole process
fast and efficient.
16. There are two different ways of transforming a program
from a high-level programming language into machine
into machine language:
• Compilation vs. interpretation
17. • COMPILATION - the source program is translated once (however, this act must be
repeated each time you modify the source code) by getting a file (e.g., an .exe file if
the code is intended to be run under MS Windows) containing the machine code; now
you can distribute the file worldwide; the program that performs this translation is
called a compiler or translator;
18. • INTERPRETATION - you (or any user of the code) can translate the source
program each time it has to be run; the program performing this kind of transformation
is called an interpreter, as it interprets the code every time it is intended to be
executed; it also means that you cannot just distribute the source code as-is, because
the end-user also needs the interpreter to execute it.
• Due to some very fundamental reasons, a particular high-level programming language
is designed to fall into one of these two categories.
• There are very few languages that can be both compiled and interpreted. Usually, a
programming language is projected with this factor in its constructors' minds - will it be
compiled or interpreted?
19.
20. • What does this all mean for you?
• Python is an interpreted language. This means that it inherits all
advantages and disadvantages. Of course, it adds some of its
sets.
• If you want to program in Python, you'll need the Python
able to run your code without it. Fortunately, Python is free.
important advantages.
• Due to historical reasons, languages designed to be utilized in
manner are often called scripting languages, while the source
using them are called scripts.
21. What is Python?
• Python is a widely-used, interpreted, object-oriented, and high-
level programming language with dynamic semantics, used for
general-purpose programming.
• And while you may know the python as a large snake, the name of
the Python programming language comes from an old BBC
television comedy sketch series called Monty Python's Flying
Circus.
• Python was created by Guido van Rossum
22. Python goals
• In 1999, Guido van Rossum defined his goals for Python:
• an easy and intuitive language just as powerful as those of the
major competitors;
• open source, so anyone can contribute to its development;
• code that is as understandable as plain English;
• suitable for everyday tasks, allowing for short development
times.
• About 20 years later, it is clear that all these intentions have
been fulfilled. Some sources say that Python is the most popular
programming language in the world, while others claim it's the
second or the third.
23. What makes Python special?
• There are many reasons - we've listed some of them already, but let's
enumerate them again in a more practical manner:
• it's easy to learn - the time needed to learn Python is shorter than for many
other languages; this means that it's possible to start the actual
programming faster;
• it's easy to teach - the teaching workload is smaller than that needed by
other languages; this means that the teacher can put more emphasis on
general (language-independent) programming techniques, not wasting
energy on exotic tricks, strange exceptions and incomprehensible rules;
• it's easy to use for writing new software - it's often possible to write code
faster when using Python;
• it's easy to understand - it's also often easier to understand someone else's
code faster if it is written in Python;
• it's easy to obtain, install and deploy - Python is free, open and
multiplatform; not all languages can boast that.
24. • Of course, Python has its drawbacks, too:
• it's not a speed demon - Python does not deliver exceptional performance;
• in some cases it may be resistant to some simpler testing techniques - this may mean
that debugging Python's code can be more difficult than with other languages;
fortunately, making mistakes is always harder in Python.
25. Python rivals?
• Python has two direct competitors, with comparable properties
and predispositions. These are:
• Perl - a scripting language originally authored by Larry Wall;
• Ruby - a scripting language originally authored by Yukihiro
Matsumoto.
• The former is more traditional, more conservative than Python,
and resembles some of the good old languages derived from
the classic C programming language.
• In contrast, the latter is more innovative and more full of fresh
ideas than Python. Python itself lies somewhere between these
two creations.
26. Where can we see Python in action?
• We see it every day and almost everywhere. It's used extensively
to implement complex Internet services like search engines,
cloud storage and tools, social media and so on. Whenever you
use any of these services, you are actually very close to Python,
although you wouldn't know it.
• Many developing tools are implemented in Python. More and
more everyday use applications are being written in Python.
Lots of scientists have abandoned expensive proprietary tools
and switched to Python. Lots of IT project testers have started
using Python to carry out repeatable test procedures. The list is
long.
27. Why not Python?
• Despite Python's growing popularity, there are still some niches
where Python is absent, or is rarely seen:
• low-level programming (sometimes called "close to metal"
programming): if you want to implement an extremely effective
driver or graphical engine, you wouldn't use Python;
• applications for mobile devices: although this territory is still
waiting to be conquered by Python, it will most likely happen
someday.
28. There is more than one Python
• There are two main kinds of Python, called Python 2 and
Python 3.
• Python 2 is an older version of the original Python. Its
development has since been intentionally stalled,
although that doesn't mean that there are no updates to
it. On the contrary, the updates are issued on a regular
basis, but they are not intended to modify the language
in any significant way. They rather fix any freshly
discovered bugs and security holes. Python 2's
development path has reached a dead end already, but
Python 2 itself is still very much alive.
29. Python 3 is the newer (to be precise, the current) version of the language. It's going
through its own evolution path, creating its own standards and habits.
• These two versions of Python aren't compatible with each other.
Python 2 scripts won't run in a Python 3 environment and vice
versa, so if you want the old Python 2 code to be run by a
Python 3 interpreter, the only possible solution is to rewrite it,
not from scratch, of course, as large parts of the code may
remain untouched, but you do have to revise all the code to find
all possible incompatibilities. Unfortunately, this process cannot
be fully automatized.
30. • Python 3 isn't just a better version of Python 2 - it is a completely different language,
although it's very similar to its predecessor. When you look at them from a distance, they
appear to be the same, but when you look closely, though, you notice a lot of differences.
If you're modifying an old existing Python solution, then it's highly likely that it was coded in
Python 2. This is the reason why Python 2 is still in use. There are too many existing
Python 2 applications to discard it altogether.
31. Python aka CPython
In addition to Python 2 and Python 3, there is more than
each.
• First of all, there are the Pythons which are maintained by the
people gathered around the PSF (Python Software Foundation), a
community that aims to develop, improve, expand, and
popularize Python and its environment. The PSF's president is
Guido von Rossum himself, and for this reason, these Pythons
are called canonical. They are also considered to be reference
Pythons, as any other implementation of the language should
follow all standards established by the PSF.
32. • Guido van Rossum used the "C" programming language to implement the very first
version of his language and this decision is still in force. All Pythons coming from the
PSF are written in the "C" language. There are many reasons for this approach and it
has many consequences. One of them (probably the most important) is that thanks to
it, Python may be easily ported and migrated to all platforms with the ability to compile
and run "C" language programs (virtually all platforms have this feature, which opens
up many expansion opportunities for Python).
• This is why the PSF implementation is often referred to as CPython. This is the most
influential Python among all the Pythons in the world.
33. Cpython
• is the default and most widely used interpreter or
implementation of Python, written in C. It is the original
Python version, which users download from its official
website, Python.org. It can be better described as a mixture of
both an interpreter and compiler as it converts your written
Python source code into bytecode. By bytecode, we refer to a
program code that gets compiled and processed into a low-
level language that can be used as instructions for the
interpreter. It is this bytecode that gets executed on the
CPython Virtual Machine.
34. Jython
• Jython is another Python implementation that has been written
in the Java language whose implementation can run in Java
platforms. Similar to CPython, it first converts the source code
into bytecode, which, as mentioned before, are a set of
instructions that are needed by an interpreter. In Jython, these
are written in Java and can run on the Java Virtual Machine,
which is the same environment that Java itself uses. Jython
allows users to easily work with Java programs since you can
call, as well as utilize, your Java functions and classes directly
from Jython without any additional effort which is immensely
beneficial as Python users can get access into the enormous
ecosystem of libraries and frameworks that come along with
Java. The same is true on the opposite end.
35. PyPy
• PyPy is the Python implementation that has been written in the
Python language itself and is another alternative to CPython.
Since it has been created while keeping in mind the
specifications of the Python language, it is most compatible with
CPython, allowing it to run web frameworks like Django and
Flask, and even adds a few improvements on the top of it. PyPy
makes use of the concept called Just-in-time (JIT) compilation,
which allows it to compile the source code during the execution
of the program. This, in turn, has made it several times faster
than CPython, in which its runtime speed being slow was a
common complaint among users. PyPy completely improves this
part of CPython.
36. Cython
• Cython Unlike the other implementations of Python mentioned in the list,
Cython is not a Python interpreter but rather a superset of the Python
language that allows users to compile programs in the C language.The
amazing thing is that it provides you with the combined power of both
Python and C, and this, therefore, is why it can be used for writing C
extensions as well as transform and tune your Python code into C. Hence,
Cython overcomes many limitations of Python and still maintains the
convenience and comfort that comes with Python.
37. How to get Python and how to get to
use it
* Install Python 3.11 and anaconda framework