235 Generator courses in Nottingham delivered Online

Duration 3.5 Days 21 CPD hours This course is intended for This course is aimed at students new to the language who may or may not have experience with other programming languages. Overview Learn how Python works and what it's good for. Understand Python's place in the world of programming languages Learn to work with and manipulate strings in Python. Learn to perform math operations with Python. Learn to work with Python sequences: lists, arrays, dictionaries, and sets. Learn to collect user input and output results. Learn flow control processing in Python. Learn to write to and read from files using Python. Learn to write functions in Python. Learn to handle exceptions in Python. Learn to work with dates and times in Python. In this Python training course by Webucator, Inc, students learn to program in Python. Python Basics Running Python Hello, World! Literals Python Comments Data Types Variables Writing a Python Module print() Function Named Arguments Collecting User Input Getting Help Functions and Modules Defining Functions Variable Scope Global Variables Function Parameters Returning Values Importing Modules Math Arithmetic Operators Modulus and Floor Division Assignment Operators Built-in Math Functions The math Module The random Module Seeding Python Strings Quotation Marks and Special Characters String Indexing Slicing Strings Concatenation and Repetition Common String Methods String Formatting Built-in String Functions Iterables: Sequences, Dictionaries, and Sets Definitions Sequences Unpacking Sequences Dictionaries The len() Function Sets *args and **kwargs Flow Control Conditional Statements The is and is not Operators Python's Ternary Operator Loops in Python The enumerate() Function Generators List Comprehensions File Processing Opening Files The os and os.path Modules Exception Handling Wildcard except Clauses Getting Information on Exceptions The else Clause The finally Clause Using Exceptions for Flow Control Exception Hierarchy Dates and Times Understanding Time The time Module The datetime Module Running Python Scripts from the Command Line The sys Module sys.argv

Duration 4 Days 24 CPD hours This course is intended for If you want to advance from being a front-end developer to a full-stack developer and learn how Node.js can be used for hosting full-stack applications, this course is for you. Knowledge of JavaScript's basic syntax and experience with popular front-end libraries such as jQuery is required. You should also have used JavaScript with HTML and CSS, but not necessarily Node.js. Overview By the end of this course, you'll have the skills you need to tackle any real-world JavaScript development problem using a modern JavaScript approach, both for client and server sides.After completing this course, you will be able to: Apply the core concepts of functional programming Build a Node.js project that uses the Express.js library to host an API Create unit tests for a Node.js project to validate it Use the Cheerio library with Node.js to create a basic web scraper Develop a React interface to build processing flows Use callbacks as a basic way to bring control back This is your one-stop solution to mastering modern JavaScript. This course covers the latest features of JavaScript and advanced concepts, such as modularity, testing, and asynchronous programming. By the end of the course, you?ll know how to create a full-stack JavaScript application using NodeJS and how to use JavaScript in functional programming. JavaScript, HTML, and the DOM HTML and the DOM Developer Tools Node.js and npm What is Node.js? Node Version Manager (nvm) Node Package Manager (npm) Node.js APIs and Web Scraping Globals FileSystem APIs HTTP APIs What is Scraping? RESTful APIs with Node.js What is an API? What is REST? Useful Defaults and Easy Inputs Middleware The Contents of a JWT MongoDB Modular JavaScript ES6 Modules Object-Oriented Programming (OOP) npm Package? Code Quality Clear Naming Unit Tests Integration Tests End-to-End Testing Puppeteer Advanced JavaScript Language Features Supported in ES5, ES6, ES7, ES8, and ES9 OOP in JavaScript Sorting Maps and Sets Math, Date, and String Symbols, Iterators, Generators, and Proxies Asynchronous Programming Callback Hell Async and Await Event-Driven Programming and Built-In Modules Eventing Node.js Built-In Modules Handling Large Files in Node.js Functional Programming with JavaScript Functions ? First-Class Citizens Pure Functions Higher-Order Functions Function Composition Immutability and Side Effects Introduction to GraphQL Language Schemas and Queries

Duration 2.75 Days 16.5 CPD hours This course is intended for Complete beginners who have never programmed before to experienced developers coming from another programming language. Overview You will learn how to leverage the power of Python to solve tasks. You will build games and programs that use Python libraries. You will be able to use Python for your own work problems or personal projects. You will create a portfolio of Python based projects you can share. Learn to use Python professionally, learning both Python 2 and Python 3! Create games with Python, like Tic Tac Toe and Blackjack! Learn advanced Python features, like the collections module and how to work with timestamps! Learn to use Object Oriented Programming with classes! Understand complex topics, like decorators. Understand how to use both the Jupyter Notebook and create .py files Get an understanding of how to create GUIs in the Jupyter Notebook system! Build a complete understanding of Python from the ground up! Our Introduction to Python course is designed to take complete beginners or experienced developers up to speed on Python?s capabilities, setting up students for success in using Python for their specific field of expertise. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, scraping websites for information, working with image files, and much more! This course will teach you Python in a practical manner and provides a full coding screencast and a corresponding code notebook to review the concepts and exercises conducted in class. Please note, this course is able to be offered in either 3 full day sessions or 5 partial day sessions. See the schedule below. This course includes 6-months access to the full course content in on-demand format to support post-class reference and review. Command Line Basics Python System Setup Jupyter Notebooks Python Data Types Key Data Structures Logic and Control Flow Functions Debugging Modules Object Oriented Programming File I/O Testing Decorators Generators Automation of Tasks Web Scraping Graphical User Interfaces Additional course details: Nexus Humans Introduction to Python training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to Python course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is appropriate for advanced users, system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Students can apply the course skills to use Python in basic web development projects or automate or simplify common tasks with the use of Python scripts. Overview This skills-focused course is about 50% hands-on lab to lecture ratio, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert instructor, you'll learn how to: Create working Python scripts following best practices Use python data types appropriately Read and write files with both text and binary data Search and replace text with regular expressions Work with with the standard library and its work-saving modules Create 'real-world', professional Python applications Know when to use collections such as lists, dictionaries, and sets Work with Pythonic features such as comprehensions and iterators Write robust code using exception handling Introduction to Python Programming Basics is a hands-on Python programming course that teaches you the key skills you?ll need to get started with programming in Python to a solid foundational level. The start of the course will lead you through writing and running basic Python scripts, and then guide you through how to use more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This course provides you with an excellent kick start for users new to Python and scripting, enabling you to quickly use basic Python skills on the job in a variety of ways. You?ll be able use Python in basic web development projects, or use it to automate or simplify common tasks with the use of Python scripts. The course also serves as a solid primer course / foundation for continued Python study in support for next level web development with Python, using Python in DevOps, Python for data science / machine learning or Python for systems admin or networking support. Python Quick View What is Python? Python timeline Advantages/disadvantages Installing Python Getting help The Python Environment Starting Python Using the interpreter Running a Python script Editors and IDEs Getting Started with Python Using variables Builtin functions String data Numberic data Converting types Console input/output Command line parameters Flow Control About flow control The if statement Relational and Boolean operators while loops Exiting from loops Array Types About array types Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions and generators Working with Files File overview Opening a text file Reading a text file Writing to a text file Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Returning values Parameters and arguments Variable scope Sorting The sorted() function Custom sort keys Lambda functions Sorting in reverse Using min() and max() Errors and Exception Handling Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages Creating Modules The import statement Module search path Using packages Function and module aliases Getting Started with Object Oriented Programming and Classes About object-oriented programming Defining classes Constructors Understanding self Properties Instance Methods and data Class methods and data Inheritance Additional course details: Nexus Humans Introduction to Python Programming Basics (TTPS4800) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to Python Programming Basics (TTPS4800) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Introduction When it comes to academic writing, referencing is crucial. It’s not just about giving credit where it’s due, but also about enhancing the credibility of your work. Among the various referencing styles, Harvard referencing for word essays is one of the most widely used, especially in the UK. But why is it so popular, and how can you master it? Let’s dive in! Understanding Harvard Referencing Harvard referencing is a system of citation that allows you to acknowledge the sources you’ve used in your academic writing. It’s an author-date system, which means you include the author’s surname and the year of publication within the text, and provide full details in a reference list at the end. Despite its name, Harvard references didn’t originate from Harvard University. The style was first used by a zoologist named Edward Laurens Mark in a paper published in 1881. Over time, it has evolved and become one of the most recognized citation styles worldwide. Harvard referencing consists of two main components: in-text citations and a reference list. In-text citations are brief and are placed within the body of your text, while the reference list provides full details of all the sources you’ve cited. The Basics of Harvard Referencing In-text citations in Harvard referencing include the author’s surname and the year of publication. If you’re quoting directly, you should also include the page number. For example: (Smith, 2020, p. 23). The reference list is where you provide full details of each source cited in your work. Each entry should include the author’s name, year of publication, title of the work, and other relevant information, depending on the type of source. A reference list includes only the sources you’ve directly cited in your text, while a bibliography may include all sources you’ve consulted, whether or not you’ve cited them. How to Cite Different Types of Sources When citing a book, you should include the author’s name, year of publication, title (in italics), edition (if applicable), place of publication, and publisher. For example: Smith, J. (2020). The Art of Referencing (2nd ed.). London: Academic Press. Journal articles should include the author’s name, year of publication, title of the article, title of the journal (in italics), volume number, issue number, and page numbers. For example: Brown, A. (2019). ‘Understanding Harvard Referencing’, Journal of Academic Writing, 12(3), pp. 45-67. For websites, include the author (or organization), year of publication (or last update), title of the webpage (in italics), and the URL. For example: University of Oxford. (2021). Harvard Referencing Guide. Available at: https://www.ox.ac.uk/harvard (Accessed: 10 September 2024). When citing a newspaper article, include the author’s name, year of publication, title of the article, title of the newspaper (in italics), date, and page number. For example: Doe, J. (2022). ‘The Future of Academic Writing’, The Times, 5 May, p. 12. For government documents, include the name of the government department, year of publication, title of the document (in italics), place of publication, and publisher. For example: UK Department for Education. (2020). Education Policy Report. London: HMSO. Cite conference papers by including the author’s name, year of publication, title of the paper, title of the conference (in italics), location, and date of the conference. For example: Jones, M. (2023). ‘Innovations in Academic Writing’, International Writing Conference, Manchester, 10-12 April. Harvard Referencing for Electronic Sources When citing e-books, the format is similar to print books, but you should include the format (e.g., Kindle) or the platform where it’s available. For example: Adams, R. (2018). Digital Referencing (Kindle ed.). Available at: Amazon.co.uk. For online journals, follow the same format as print journals, but include the DOI or the URL where the article can be accessed. For example: Taylor, S. (2021). ‘Harvard Referencing in the Digital Age’, Journal of Modern Research, 15(4), pp. 33-50. DOI: 10.1234/jmr.2021.0987. The format for websites remains the same as mentioned earlier, with the inclusion of the URL and the access date. For social media, include the author (or username), year, content of the post (in italics), platform, and the date of the post. For example: @AcademicWriterUK. (2023). The key to successful referencing is consistency. Twitter, 15 March. Advanced Harvard Referencing Techniques When you can’t access the original source and need to cite a secondary source, mention both the original and secondary source. For example: (Smith, 1989, cited in Brown, 2019). For works with multiple authors, list up to three authors in the in-text citation. For more than three, use “et al.” after the first author’s name. For example: (Jones, Smith, and Brown, 2020) or (Jones et al., 2020). If you’re citing different editions of a book, mention the edition in your reference. For example: Brown, A. (2018). Theories of Learning (3rd ed.). Oxford: Oxford University Press. If some information is missing, like the author or date, use “Anon.” for anonymous authors and “n.d.” for no date. Common Harvard Referencing Mistakes and How to Avoid Them Incorrect formatting can easily occur if you’re not careful. Make sure to follow the correct structure for each type of source, as this can significantly impact your grade. Leaving out essential details like the author’s name or the year of publication is a common mistake. Always double-check your references before submitting your work. Punctuation is crucial in Harvard referencing. Misplacing a comma or period can change the meaning of your citation. Pay attention to the details! Tools and Resources for Harvard Referencing Online citation generators can save you time, but be cautious—always double-check the generated citations for accuracy. Tools like EndNote or Zotero can help you manage your references and ensure consistency throughout your work. Many universities provide specific guidelines for Harvard referencing. Always refer to your institution’s guidelines to ensure you’re following the correct format. The Importance of Consistency in Harvard Referencing Consistency is key in Harvard referencing. Uniformity in your citations not only makes your work look professional but also enhances readability. Inconsistent referencing can confuse readers and may lead to a lower grade. Make sure your citations follow a consistent style throughout your work. Tips for Mastering Harvard Referencing Always double-check your references before submission. Small errors can add up and impact your overall grade. Keep a record of all the sources you consult. This will make it easier to create your reference list and avoid missing any citations. Using a Harvard style guide can help ensure that you’re following the correct format. It’s a handy tool for quick reference. Conclusion Mastering Harvard referencing may seem daunting at first, but with practice and attention to detail, it becomes second nature. Remember, proper referencing not only supports your arguments but also adds credibility to your work. So, take your time, be consistent, and use the resources available to you.