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Explore the Spring Data Java Persistence API, Spring MVC, REST clients, and more, and get hands-on with creating robust Spring Boot applications.

Enhance your career with our Assembly Operative Skills Development Course, covering key aspects like assembly operations, tools, safety, and advanced techniques. Master the art of efficient assembly line setup, navigate manufacturing laws, and stay ahead with the latest technologies. Elevate your skills for success in today's dynamic manufacturing landscape. Enroll now for a comprehensive learning experience!

Learn how to create an automated trading bot using Python with this comprehensive course. Master Python basics, understand trading fundamentals, build and integrate the bot with a broker API, and run it effectively. Learning Outcomes: Gain proficiency in Python programming for trading purposes. Understand the fundamental concepts of trading and market dynamics. Build a structured trading bot using Python and Github version control. Integrate the bot with a broker API for real-time trading functionality. Successfully run and manage the automated trading bot for efficient execution. Why buy this Making Automated Trading Bot Using Python? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Making Automated Trading Bot Using Python there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Making Automated Trading Bot Using Python course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Making Automated Trading Bot Using Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Making Automated Trading Bot Using Python was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Making Automated Trading Bot Using Python is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction About the course structure 00:05:00 Why working is important? 00:04:00 The free and perfect tools 00:07:00 Our editor: Atom 00:04:00 Version control: Github 00:07:00 Python download (Mac) 00:05:00 Python download (Windows) 00:02:00 Section 02: Python Basics for Trading Introduction 00:03:00 Python Libraries 00:05:00 Iterators: for 00:08:00 Iterators: while 00:08:00 Conditionals: if & else 00:10:00 Logic gates: and & or 00:09:00 Error handling: try & except 00:09:00 Functions and calls to libraries 00:13:00 Objects and classes (1) 00:10:00 Objects and classes (2) 00:07:00 Debugging the code 00:12:00 Closing and wrap up 00:01:00 Section 03: Trading Basics Introduction 00:03:00 Fundamental vs Technical Analysis 00:04:00 Stocks vs CFDs 00:05:00 Long and Short positions 00:04:00 Takeprofit and Stoploss 00:03:00 Setting a real Stoploss 00:08:00 Limit and Market orders 00:10:00 Don't forget the spread 00:04:00 Stock data visualisation: candles 00:08:00 Technical Indicators: about 00:05:00 Exponential Moving Average 00:08:00 EMA use and interpretation 00:06:00 Relative Strength Index 00:07:00 Stochastic Oscillator 00:09:00 Closing and wrap up 00:01:00 Section 04: Bot Code General Structure Introduction 00:02:00 Overview 00:08:00 The Entry Strategy 00:10:00 About Tradingview 00:12:00 When to enter (1) 00:08:00 When to enter (2) 00:08:00 Open and hold a position 00:12:00 Closing a position 00:08:00 Review (1) 00:06:00 Review (2) 00:13:00 Closing 00:02:00 Section 05: Github Basics Introduction 00:04:00 Download and install Github 00:01:00 Create a repo 00:10:00 Working with branches 00:13:00 Section 06: Building Your Bot Introduction 00:05:00 Create the first bot file 00:07:00 Building the bot scheme 00:08:00 Complete your code scheme (1) 00:11:00 Complete your code scheme (2) 00:11:00 Complete your code scheme (3) 00:18:00 A logger to remember (1) 00:14:00 A logger to remember (2) 00:14:00 Organising your code 00:07:00 Main function: run bot 00:23:00 Link the bot and the library 00:08:00 Traderlib control functions (1) 00:12:00 Traderlib control functions (2) 00:13:00 Check if tradable function 00:06:00 Set stoploss function 00:10:00 Set takeprofit function 00:04:00 Load historical data function 00:01:00 Get open positions function 00:04:00 Submit and cancel order functions 00:04:00 Check positions function 00:09:00 The Tulipy libraries 00:07:00 Importing all the libraries 00:03:00 First filter: get general trend 00:19:00 Second filter: get instant trend 00:14:00 Third filter: RSI 00:08:00 Fourth filter: Stochastic Oscillator 00:14:00 Enter position (1) 00:13:00 Enter position (2) 00:11:00 Enter position (3) 00:15:00 Enter position (4) 00:08:00 Last check before opening 00:13:00 Exit position and get out 00:10:00 Linking everything (1) 00:12:00 Linking everything (2) 00:12:00 Linking everything (3) 00:15:00 Fixing a mistake: going Short 00:05:00 Handling all your variables 00:18:00 Closing and wrap up 00:01:00 Run function scheme clarification and rebuild 00:13:00 Section 07: Integrating the Broker API Introduction 00:03:00 The Alpaca Python API Wrapper 00:07:00 Initialising the REST API 00:09:00 Running the program (crash!) 00:06:00 Integration with check account (1) 00:08:00 Integration with check account (2) 00:05:00 Clean open orders function 00:10:00 Importing the trading library 00:04:00 Running the main 00:05:00 Check position function 00:09:00 Check if asset exists function 00:08:00 Fetching barset data (theory) 00:07:00 Fetching barset data (practice) 00:12:00 Updating the code for the Alpaca API V2 (explanation) 00:03:00 Updating the code for the Alpaca API V2 (implementation) 00:08:00 Organizing data with Pandas 00:06:00 Get general trend function (1) 00:08:00 Reframing the timeframe with Pandas 00:23:00 Get general trend function (2) 00:13:00 Get instant trend function 00:08:00 Get RSI function 00:06:00 Get Stochastic function 00:10:00 Get current price function 00:05:00 Finishing get shares amount 00:09:00 Opening a position (1) 00:12:00 Opening a position (2) 00:09:00 Check the open position 00:07:00 Cancelling the order (1) 00:20:00 Cancelling the order (2) 00:08:00 Making sure we cancelled 00:03:00 Get average entry price function 00:10:00 Fixing bugs when getting price 00:18:00 Check Stochastic crossing 00:02:00 Holding an open position 00:11:00 Submitting the exit order 00:08:00 Closing position and out (1) 00:08:00 Closing position and out (2) 00:10:00 Closing and wrap up 00:01:00 Section 08: Running the Trading Bot Introduction 00:03:00 Filtering asset by price and volume 00:07:00 Get the bot ready to trade 00:04:00 Running the Trading Bot with AAPL 00:09:00 A real open position 00:08:00 Debugging and bug fixing 00:12:00 Fixing one (last) bug 00:02:00 Running the bot with TSLA 00:10:00 Discussing EMA implementations 00:12:00 Closing and wrap up 00:02:00

The comprehensive Complete U&P AI - Natural Language Processing (NLP) with Python has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Complete U&P AI - Natural Language Processing (NLP) with Python today, and learn from the very best the industry has to offer! This best selling Complete U&P AI - Natural Language Processing (NLP) with Python has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Complete U&P AI - Natural Language Processing (NLP) with Python is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Complete U&P AI - Natural Language Processing (NLP) with Python is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Complete U&P AI - Natural Language Processing (NLP) with Python is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Complete U&P AI - Natural Language Processing (NLP) with Python, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Complete U&P AI - Natural Language Processing (NLP) with Python will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Complete U&P AI - Natural Language Processing (NLP) with Python to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

Pull Crypto news from an API and build a website with Ruby on Rails!

Embark on a journey into the captivating realm of blockchain technology with our comprehensive course on Ethereum Blockchain DApp using Solidity. Dive into a world where innovation meets practicality, where the Ethereum ecosystem unfolds its potential, and where your skills take flight. Explore the dynamic landscape of Ethereum, from understanding its fundamental concepts to deploying and maintaining Ethereum apps with finesse. Stay ahead of the curve as you grasp the nuances of blockchain technology and harness its power to build decentralised applications that redefine possibilities. Unlock the secrets of Ethereum as you delve into its core, learning about smart contracts, Ethereum wallets, and the intricacies of blockchain development tools. Stay updated with the latest Ethereum news and predictions, understanding how Ethereum value influences global markets, including Ethereum price UK trends and Ethereum price predictions. Through hands-on exploration, navigate the Ethereum development lifecycle confidently, from conceptualisation to integration, testing to deployment. Witness the synergy between blockchain and non-blockchain applications, broadening your horizons and enhancing your skill set. Learning Outcomes: Grasp the fundamental concepts of what is blockchain technology and its applications, including Ethereum's role in revolutionising decentralised ecosystems. Develop proficiency in Solidity programming language and understand the Ethereum development lifecycle, from ideation to deployment. Gain practical experience in building Ethereum-based decentralised applications (DApps) and smart contracts. Acquire essential skills in testing, deploying, and maintaining Ethereum apps, ensuring their seamless integration into real-world scenarios. Stay informed about Ethereum news, price fluctuations, and market predictions, enabling informed decision-making in blockchain development ventures. Why buy this Ethereum Blockchain DApp using Solidity Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Ethereum Blockchain DApp using Solidity there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Ethereum Blockchain DApp using Solidity course for? Aspiring blockchain developers eager to master Ethereum and Solidity. Tech enthusiasts interested in exploring the dynamic world of decentralised applications. Students seeking to enhance their knowledge of blockchain technology for academic or career advancement. Entrepreneurs aiming to leverage blockchain for innovative business solutions. Professionals in IT, finance, or related fields looking to diversify their skill set with blockchain expertise. Prerequisites This Ethereum Blockchain DApp using Solidity does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Ethereum Blockchain DApp using Solidity was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Blockchain Developer: £40,000 - £80,000 per annum Ethereum Developer: £45,000 - £90,000 per annum Smart Contract Developer: £50,000 - £95,000 per annum Blockchain Analyst: £35,000 - £70,000 per annum Cryptocurrency Consultant: £45,000 - £85,000 per annum Blockchain Project Manager: £55,000 - £100,000 per annum Course Curriculum Section 01: What is Blockchain? Introduction to Building an Ethereum Blockchain App 00:02:00 The Beginning of Blockchain 00:05:00 Currency and Cryptocurrency 00:05:00 Why Use the Blockchain? 00:06:00 Blockchain Data and Blocks 00:06:00 Blockchain Immutability 00:03:00 Blockchain Consensus 00:02:00 Building the Blockchain Story 00:03:00 Hashes 00:06:00 What is a Chain of Blocks? 00:04:00 Finding the Nonce 00:05:00 Blockchain Mining 00:03:00 Arriving at Consensus 00:05:00 Public vs. Private Blockchains 00:03:00 Distributed Processing and Blockchain Solutions 00:06:00 Section 02: What is Ethereum? Introduction to Ethereum 00:03:00 Ethereum in Financial Services 00:07:00 Ethereum in Digital Identity Management 00:05:00 Ethereum in Industry Applications 00:06:00 Ethereum in Government 00:03:00 Ethereum Smart Contracts 00:03:00 Ether and the Initial Coin Offering (ICO) 00:06:00 Decentralized Autonomous Organization (DAO) 00:03:00 The Ethereum Ecosystem 00:06:00 Building Blockchain Apps 00:05:00 Section 03: The Ethereum Ecosystem & the Development Lifecycle Parts of the Ethereum Blockchain 00:11:00 Smart Contracts 00:05:00 Smart Contract Languages 00:04:00 What are Virtual Machines? 00:06:00 The Ethereum Virtual Machine (EVM) 00:03:00 Fueling Your Code with Gas 00:05:00 Tools for Ethereum SDLC 00:03:00 Blockchain Client 00:03:00 Writing and Testing Your Code, Part 1 00:05:00 Writing and Testing Your Code, Part 2 00:07:00 Section 04: Ethereum Development Tools Your Ethereum Development Toolbox 00:04:00 Installing Geth Lab (CLI Blockchain Client) 00:04:00 Installing Ganache Lab (Test Blockchain) 00:06:00 Installing Truffle Lab (Development Environment and Testing Framework) 00:06:00 Installing Microsoft Visual Studio Code Lab (IDE) 00:05:00 Section 05: Your Ethereum Wallet What is an Ethereum Wallet? 00:02:00 Types of Ethereum Wallets 00:06:00 Web and Desktop Wallets 00:07:00 Mobile, Hardware, and Paper Wallets 00:09:00 Installing MetaMask 00:05:00 Section 06: Building Your First Ethereum App Preparing Your First Truffle Project 00:07:00 Writing a Simple Smart Contract 00:11:00 Compiling Your Simple Smart Contract 00:10:00 Deploying Code and Invoking Functions 00:09:00 Section 07: Learning about Smart Contracts Smart Contracts Review 00:03:00 What is Supply Chain? 00:07:00 Supply Chain Challenges and Blockchain Solutions 00:07:00 Blockchain Solution Examples 00:04:00 Ethereum Tokens 00:06:00 Your Supply Chain Project 00:08:00 Exploring Solidity 00:11:00 Defining Types of Data 00:05:00 Data Types Lab 00:09:00 Solidity Data Modifiers, Part 1 00:04:00 Solidity Data Modifiers, Part 2 00:06:00 Revisiting Gas 00:06:00 Controlling Flow 00:12:00 Handling Errors 00:05:00 Section 08: Your SuSection 08: Your Supply Chain Smart Contract dApppply Chain Smart Contract dApp Designing Your Supply Chain App 00:04:00 What are dApps? 00:06:00 Token Smart Contract Details 00:08:00 Supply Chain Smart Contract Details 00:06:00 Smart Contract Road Map 00:02:00 Token Smart Contract Data Lab, Part 1 00:07:00 Token Smart Contract Data Lab, Part 2 00:09:00 Supply Chain Smart Contract Functions Lab, Part 1 00:10:00 Supply Chain Smart Contract Functions Lab, Part 2 00:09:00 Token Smart Contract Functions Lab, Part 1 00:05:00 Token Smart Contract Functions Lab, Part 2 00:04:00 Supply Chain Smart Contract Functions Lab, Part 1 00:10:00 Supply Chain Smart Contract Functions Lab, Part 2 00:09:00 Using Events 00:07:00 Implementing Events 00:05:00 More on Ownership 00:08:00 Designing for Security 00:09:00 Implementing Minimal Functionality 00:06:00 Section 09: Testing Ethereum Apps Blockchain dApp Testing 00:10:00 Deploying Your dApp to a Test Blockchain Lab 00:08:00 Writing Tests for Ethereum dApps 00:06:00 Command-Line Testing Lab, Part 1 00:04:00 Command-Line Testing Lab, Part 2 00:11:00 Command-Line Testing Lab, Part 3 00:03:00 JavaScript Testing 00:08:00 Logging and Handling Errors 00:07:00 Logging Activity in Smart Contracts 00:05:00 Fixing Bugs in a dApp 00:05:00 Section 10: Deploying and Maintaining Ethereum Apps Test Blockchains 00:08:00 The Live Blockchain (Mainnet) 00:05:00 Connecting to Multiple Blockchains and Infura Lab 00:05:00 Configuring Truffle and Infura Lab 00:06:00 Funding Your Account Lab 00:04:00 Deploying to the Live Blockchain 00:08:00 Section 11: Integrating Non-Blockchain Apps with Ethereum Blockchain and Database Storage 00:11:00 Execution and Flow in dApps and Traditional Applications 00:05:00 Blockchain Incorporation Design Goals 00:06:00 Integration Considerations for Incorporating Blockchain 00:06:00 Interface Considerations for Incorporating Blockchain 00:04:00 Resources Resources - Ethereum Blockchain DApp using Solidity 00:00:00

In this course, we will learn about the Google Apps Script to create custom functions within G Suite that will help you increase your productivity. This course contains 100+ coding examples. For this course, you need JavaScript and basic HTML and CSS knowledge, a Google account, and a basic web development understanding.

Data Analysis (Beginner): Data Analysis Course Online Are you trying to get the knowledge and abilities required to excel in data analysis at the beginner level? Our Data Analysis Course (Beginner) could be your perfect option for this. The Data Analysis Course (Beginner) offers comprehensive training in data analysis methodologies and tools. The Data Analysis Course (Beginner) covers topics such as data cleaning, visualisation, and statistical analysis. Also, the Data Analysis Course (Beginner) teaches programming in Python or R. Moreover, the Data Analysis Course (Beginner) equips students with essential skills for deriving insights from data. This Data Analysis Course (Beginner) explains data manipulation and interpretation. Enrol in our Data Analysis Course (Beginner) to prepare them for careers in data analysis across various industries. Main Course: Data Analytics Course (Beginner) [ Note: Free PDF certificate as soon as completing the Data Analysis (Beginner): Data Analysis Course] Data Analysis (Beginner): Data Analysis Course This Data Analysis (Beginner): Data Analysis Training Course consists of 12 modules. Who is this course for? Data Analysis (Beginner): Data Analysis Course This Data Analysis (Beginner): Data Analysis Course is recommended for anyone looking to advance in their data analysis career. Requirements Data Analysis (Beginner): Data Analysis Course To enrol in this Data Analysis (Beginner): Data Analysis Course, students must fulfil the following requirements: Data Analysis: Good Command over English language is mandatory to enrol in our Data Analysis Course. Data Analysis: Be energetic and self-motivated to complete our Data Analysis Course. Data Analysis: Basic computer Skill is required to complete our Data Analysis Course. Data Analysis: If you want to enrol in our Data Analysis Course, you must be at least 15 years old. Career path Data Analysis (Beginner): Data Analysis Course The Data Analysis (Beginner): Data Analysis Course opens up a wide range of work prospects, especially in the UK labour market.

Dive into the comprehensive world of Entity Framework Core with this detailed course, designed to equip you with the skills to efficiently use EF Core in .NET applications.