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This course primarily focuses on explaining the concepts of Python and PySpark. It will help you enhance your data analysis skills using structured Spark DataFrames APIs.

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The course helps you learn how to program with Python without any prior experience. The course also emphasizes learning the Django framework. You'll work on 4 major projects that will ensure that you have acquired and implemented your newly added skills to make Python-based websites with Django.

In this course, you will learn full-stack web development with React JS for the frontend and Python Django for the backend. You will learn and explore various databases such as Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, and SQLite.

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by CPD UK & Quality License Scheme Tutor Support Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime With 1 year access to the course materials Online Learning Learn from anywhere, whenever you want This Python Hacking Complete Course will help you learn about configuring IP addresses and installing Metasploitable, adding raw input to the port scanner, returning banners from the open port, finishing and testing the scanner and many more. This course at a glance Accredited by CPD UK Endorsed by Quality Licence Scheme The key elements of Python hacking. The introduction of Python and the process of installing its step-up program. What are SSH and FTP attacks and how to deal with them. How to crack the password using Python hacking What are sniffers, flooders and spoofers. What is coding DNS spoofer and learn the steps involved in the process. What is network analysis and how it is beneficial for Python hacking. Understand what is multi-functioning Reverse and gain in-depth knowledge of the same. The website penetration testing and how to use it for effective Python hacking. Why Python Hacking Complete Course right for you? This Python Hacking Complete Course is the perfect way to kickstart your career in the field of Python programming. This online course will provide you with a comprehensive understanding of the VirtualBox and Kali Linux installation. You will also get to understand the port and vulnerability scanning so as to gain proficiency in Python hacking. By the end of the course, you will have theoretical knowledge of Python hacking and understand the tools and strategies required to master hacking using Python programming. Python Hacking Complete Course Details Accredited by CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.   The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Course Curriculum Introduction and Setup Welcome to Python for Ethical Hacking! VirtualBox installation Kali Linux Installation Adding Guest Additions Port and Vulnerability Scanning Coding a Simple Port Scanner Adding Raw_Input to Our Port Scanner Scanning the First 1,000 Ports Coding an Advanced Port Scanner Part 1 Coding an Advanced Port Scanner Part 2 Finishing and Testing our Scanner Configuring IP Address and Installing Metasploitable Returning Banner from Open Port Coding a Vulnerability Scanner Part 1 Coding a Vulnerability Scanner Part 2 SSH and FTP Attacks Automating SSH Login Part 1 Automating SSH Login Part 2 Testing Our SSH Login Program Coding a SSH Brute-Forcer Executing Commands on Target After Brute-Forcing SSH Anonymous FTP Login Attack Username & Password List Attack on FTP Password Cracking SHA256, SHA512, MD5 Cracking SHA1 Hash with Online Dictionary Getting Password from MD5 Hash Cracking crypt passwords with salt Sniffers, Flooders and Spoofers Changing MAC Address Manually Coding MAC Address Changer Theory Behind ARP Spoofing Crafting Malicious ARP Packet Coding ARP Spoofer Forwarding Packets and Restoring ARP Tables Spoofing Our IP Address and Sending Message with TCP Payload Running SynFlooder with Changed Source IP Address Getting Source and Destination MAC Address from Received Packets Sniffing FTP Username and Password Part 1 Sniffing FTP Username and Password Part 2 Getting Passwords from HTTP Websites Cloning Any Webpage Printing DNS Queries Coding DNS Spoofer Redirecting Response to Cloned Page Setting IP Table Rules and Running DNS Spoofer Network Analysis Analyzing Ethernet Header Analyzing IP Header Part 1 Analyzing IP Header Part 2 Analyzing TCP Header Multi-Functioning Reverse Theory Behind Socket Programming Wine and Pyinstaller Installation Setting Up Listener Establishing Connection Between Target and Server Implementing Send & Receive Functions Executing Commands on Target System Importing JSON Library to Parse Data Converting Python backdoor to .exe Using OS library to Change Directory Downloading & Uploading Files to Target PC Hiding our Backdoor and Creating Persistence Trying to Connect to Server Every 20 Seconds Downloading Files to Target PC Capturing Screenshot on Target PC Administrator Privilege Check Starting Other Programs with Our Shell Running Our Shell As an Image, Audio, PDF Coding a Keylogger Installing Pynput Printing Space Character Calling Timer on Our Keylogger Adding Keylogger to Our Backdoor Command and Control Center What is a Threaded Server? Accepting Connections with a Thread Managing Multiple Sessions Testing Threaded Server with Windows 10 target Fixing Q Command Coding Exit Function Attacking Multiple Targets and Gathering Botnet Website Penetration Testing Stealing Saved Wireless Passwords Saving Passwords to a File Bruteforcing Gmail Bruteforcing Any Login Page Part 1 Bruteforcing Any Login Page Part 2 Finding Hidden Directories Part 1 Finding Hidden Directories Part 2 Discovering Subdomains Changing HTTP Headers Starting Basic and Digest Authentication Bruteforcer Controlling Threads Coding Run Function Printing Usage and Testing Our Program Taking a Look at Ransomware Who should take this course? This comprehensive Python Hacking Complete Course is specially designed for Python developers interested in network security and ethical hacking. Those aspiring to accelerate their career in Python programming or want to improve their job prospects can also take this career-advancement Python hacking course. Entry Requirements There are no academic entry requirements for this Python Hacking Complete course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This Python Hacking Complete Course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Certification Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

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About Course Building Web Applications with Django and PostgreSQL: Master the Complete Stack Learn to build modern and robust web applications with one of the most popular and powerful tech stacks: Django and PostgreSQL. In this comprehensive course, you will learn: The fundamentals of Django, including setting up a development environment, creating models, views, and templates, and handling user authentication and authorization. How to work with Django's built-in admin interface and form files. Advanced topics, such as working with Django's ORM (Object-Relational Mapping) to interact with the PostgreSQL database, handling form submissions, and integrating third-party libraries. Best practices for structuring Django projects, handling user sessions, and securing your web applications against common web vulnerabilities. You will also gain hands-on experience in using PostgreSQL as your database backend, including: Designing database schemas Performing CRUD (Create, Read, Update, Delete) operations Optimizing database performance Throughout the course, you will work on practical projects that will allow you to apply the concepts you've learned and build real-world web applications. By the end of this course, you will be able to: Create dynamic and interactive web applications with Django and PostgreSQL. Build secure, scalable, and maintainable web applications. Become a skilled and proficient web developer. This course is perfect for: Beginners who want to learn how to build web applications from scratch. Experienced web developers who want to learn how to use Django and PostgreSQL. Anyone who wants to learn how to build modern and robust web applications. Enroll today and start your journey to becoming a Django and PostgreSQL expert! Bonus: Get access to the instructor's personal collection of Django and PostgreSQL resources. Why learn Django and PostgreSQL? Django and PostgreSQL are two of the most popular and powerful technologies for building web applications. Django is a popular web framework written in Python that allows developers to build robust and scalable web applications quickly and efficiently. PostgreSQL is a powerful open-source relational database management system known for its reliability and performance. Learning Django and PostgreSQL will give you a significant advantage in the job market and allow you to build more complex and sophisticated web applications. Here are some of the benefits of learning Django and PostgreSQL: Django is a popular web framework with a large and active community. This means that there is a wealth of resources available to help you learn Django and get help when you need it. Django is a powerful and versatile web framework that can be used to build a wide variety of web applications, from simple websites to complex e-commerce platforms. PostgreSQL is a powerful and reliable database management system that is known for its performance and scalability. PostgreSQL is also an open-source database, which means that it is free to use and distribute. So what are you waiting for? Enroll in this course today and start your journey to becoming a Django and PostgreSQL expert! What Will You Learn? Comprehensive coverage of Django web framework and PostgreSQL database Practical projects to apply concepts learned Hands-on experience with PostgreSQL as a database backend Best practices for structuring Django projects and securing web applications In-depth understanding of Django's ORM for database interactions Integration of third-party libraries and Import Real-world examples and use cases Course Content Getting Started Introduction Getting started on Windows, MacOS, and Linux How to Ask Great Questions FAQs Setting Up a Python Development Installing Python Installing PyCharm IDE for Development Creating the first Python Project Write and Run Hello World Program Command Line Basics Installation and Access Pip Command Django Setting Up the Project Introduction to Web Framework and Django Installing Django and Setting Up a Project Understanding Django Architecture and Structured Creating a Simple Django App Building a Django App with PostgreSQL Introduction to PostgreSQL and its Advantages for Web Applications Installing PostgreSQL and Setting Up a Database pgAdmin Secure Login and Create Database Connection Django to PostgreSQL Creating a Basic HTTP View Method Request URL Pattern on App Include Apps to Project URLs Installing the Psycopg2 Module for DB Connection Django Models and ORM (Object Relational Mapping) Defining Models and Creating Database Tables Using Djangos Built-in ORM to Interact with the Database Migration to Create DB Tables Assessment Test Solution for an Assessment Test Working with Admin Module Creating Superuser as Admin Authentication and Authorization User Access Permissions Registering User Models to the Admin Dashboard Creating Data Using CRUD Functionality View Data on the PostgreSQL Database Table Django Views and Templates Understanding the MVC - MVT Creating Views and Handling HTTP Requests and Rendering Templates Creating a Template with HTML Page Building Dynamic Form and Handling Django Form Design Creating Bootstrap Template Applying Bootstrap to Django Form Creating Stunning Product Card items Django Project: Registration form - Real world Creating Model Creating Forms Creating Views Applying ORM - Migrations Creating My Form Template Adding URLs Creating Success_View Template Project URLs Update and Adding Installed Apps Run Project and Submit Data to Database Django Reports Creating Report_View Method Creating Report_Template Update URLs Pattern Run Project and Test Reports Course Resources Course Resources A course by Sekhar Metla IT Industry Expert Material Includes Download Resources and Reference Project Source Code Django to PostgreSQL database connection Project Settings file RequirementsBasic knowledge of Python programmingUnderstanding of relational databases and SQL - optionalFamiliarity with web development concepts (HTML, CSS, and JavaScript) - optional Audience Beginners Python Django developers curious about web application development Web developers who want to learn how to build web applications using Django and PostgreSQL Python developers who want to expand their skillset to web development Students or professionals looking to enhance their web development skills with Django and PostgreSQL. Requirements Basic knowledge of Python programming Understanding of relational databases and SQL - optional Familiarity with web development concepts (HTML, CSS, and JavaScript) - optional

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.