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  1. #441
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    Mastering Chesterfield Patterns in Substance Designer

    Mastering Chesterfield Patterns in Substance Designer





    Published 9/2024
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Language: English | Duration: 3h 13m | Size: 1.76 GB
    Mastering Chesterfield Patterns in Substance Designer


    What you'll learn
    Understanding Chesterfield Structure: Learn to create the foundational structure of Chesterfield patterns, including wrinkles, creases
    Color and Texture Variation: Master techniques to generate diverse color variations and realistic surface textures using gradient maps and grunge maps
    Procedural Workflow Efficiency: Explore efficient workflows for creating complex textures procedurally, reducing time spent on manual detailing
    Application in Product and Game Design: Apply learned skills directly to product design and game asset creation, ensuring textures meet industry standards
    Requirements
    Basic knowledge of Substance Designer (version 11.3 or above)
    beginners welcome to learn procedural texture creation.
    Description
    Delve into the world of Chesterfield patterns with Substance Designer, where complexity meets flexibility in texture creation. This comprehensive course is tailored for professionals and enthusiasts in product design and game asset development seeking to streamline their workflow and enhance their skills in procedural texture generation.If you're familiar with the painstaking process of creating Chesterfield patterns manually, you'll appreciate the efficiency and versatility that Substance Designer offers. Over 125 minutes of meticulously crafted, unnarrated video tutorials in 1080p resolution, you'll discover how to replicate the intricate details of Chesterfield upholstery seamlessly.Course Content:Chapter 01 - First Step: Begin your journey by constructing the fundamental structure of Chesterfield patterns. Learn advanced techniques to simulate the natural folds, creases, and distinctive button details that define this classic design. Through the use of diverse maps and meticulous blending methods, you'll achieve an authentic and realistic appearance.Chapter 02 - Color and Roughness: Dive deeper into the nuances of color and roughness mapping. Harness the power of gradient maps to infuse your textures with subtle color variations, and leverage grunge maps to introduce imperfections that enhance realism. Explore effective strategies to control roughness, ensuring your material reflects light convincingly and enhances its tactile quality.Software Utilized: Substance DesignerLevel: IntermediatePrerequisite: A foundational understanding of Substance Designer is recommended to fully benefit from this course.Additional Features: Included in this course is a meticulously prepared SBS file compatible with Substance Designer version 11.3 and above. This resource allows you to deconstruct and study the techniques presented, reinforcing your learning experience.Who Should Enroll: This course is ideal for 3D artists, game developers, product designers, and anyone passionate about mastering procedural texture creation. Whether you're looking to expand your skill set or refine your existing techniques, mastering Chesterfield patterns in Substance Designer will elevate your proficiency and creative output.Conclusion: Equip yourself with the expertise to produce sophisticated Chesterfield patterns efficiently and with precision using Substance Designer. Join us on this journey to unlock the secrets of procedural leather texture creation and transform your design capabilities.
    Who this course is for
    This course is designed for 3D artists, game developers, product designers, and anyone interested in creating detailed, realistic Chesterfield patterns efficiently using Substance Designer's procedural workflow.

    Homepage:


    Code:
    https://www.udemy.com/course/mastering-chesterfield-patterns-in-substance-designer/

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    Mastering Pumping Test Model of Aquifer

    Mastering Pumping Test Model of Aquifer





    Published 9/2024
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Language: English | Duration: 1h 2m | Size: 537 MB

    Mastering Pumping Test Analysis: A Practical Course on Theis Model Application Using Real Data


    What you'll learn
    Learn the essentials of pumping test methods, including data collection, analysis, and interpretation using the Theis model, vital for groundwater management
    Master applying the Theis solution to analyze aquifer properties using real pumping test data, boosting your skills for professional and research settings.
    Gain expertise in interpreting groundwater data for informed decision-making in water management, environmental consulting, and civil engineering.
    Enhance Your Groundwater Modeling Skills for Career Advancement
    Requirements
    Required Skills and Knowledge: Hydrogeology: A foundational understanding of groundwater systems, aquifers, and well hydraulics. Basic Math: Familiarity with basic mathematical concepts (e.g., logarithms, exponents, graphing).
    Description
    Discover the power of pumping test analysis in this hands-on course, designed to teach you how to apply the Theis Model using real data and Python. Whether you're a student or a professional in hydrogeology or environmental science, this course will help you understand and interpret aquifer properties through practical, step-by-step exercises.You'll learn how to work with real-world pumping test data, use Python to analyze it, and apply the Theis Model to gain valuable insights. We'll also show you how to visualize your results, making it easier to understand and present your findings. No matter your experience level, this course offers a simple and practical approach to mastering pumping test analysis.By the end, you'll have the confidence and skills to analyze groundwater data and apply it to real-life projects. After completing this course, you'll also be able to assess whether your aquifer is functioning well or not, giving you a clear understanding of its performance and sustainability. Perfect for anyone looking to enhance their expertise in groundwater modeling and data analysis, this course will help you take your skills to the next level. The course goes beyond just data analysis by helping you develop a comprehensive understanding of the underlying principles of groundwater flow and pumping tests. You'll also learn how to troubleshoot common issues with aquifer performance and gain the skills needed to assess whether your aquifer is functioning optimally.By integrating coding, real-world data, and hydrogeological theory, this course provides a robust learning experience that equips you with the tools to make informed decisions about aquifer management and sustainability.
    Who this course is for
    This course is designed for individuals who are interested in or involved in the field of hydrogeology, groundwater management, or environmental engineering. Specifically, it will be valuable for: Hydrogeologists: Professionals working in groundwater exploration, development, and management. Environmental Engineers: Engineers involved in groundwater contamination assessment and remediation. Water Resource Managers: Individuals responsible for managing water resources, including groundwater. Students: Undergraduate and graduate students studying hydrology, geology, or environmental engineering. Researchers: Researchers conducting studies related to groundwater hydrology and pumping tests. Consultants: Consultants working on groundwater-related projects.

    Homepage:


    Code:
    https://www.udemy.com/course/mastering-pumping-test-model-of-aquifer/

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    Master LPIC-2 Certification and Professional Growth Training

    Master LPIC-2 Certification and Professional Growth Training





    Published 9/2024
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Language: English | Duration: 2h 32m | Size: 1.66 GB
    LPIC-2 Complete Guide: Advanced Linux Administration and Certification Mastery, LPIC-2 Linux Engineer (202-450) Prep.


    What you'll learn
    How to configure, compile, and troubleshoot the Linux kernel for system optimization.
    Mastering advanced boot management, including GRUB configuration and runlevels.
    Techniques for monitoring, tuning, and improving system performance in Linux environments.
    Setting up and managing DNS, DHCP, VPNs, and firewalls, as well as troubleshooting network issues.
    Implementing advanced security measures like access control, encryption, and securing communications.
    Configuring and managing email servers and DNS systems for reliable enterprise service.
    Diagnosing and resolving complex Linux system issues to ensure stability and availability.
    Managing advanced file systems, NFS, Samba, and other data sharing services.
    Working with virtualization technologies, containers, and integrating Linux systems with cloud services.
    Comprehensive review of exam topics and strategies to successfully pass the LPIC-2 certification exams.
    Requirements
    Willingness to learn about LPIC-2 and Certification Preparation
    Description
    This course is designed to provide in-depth knowledge and practical expertise for professionals preparing for the LPIC-2 certification exam. Building on foundational Linux administration skills, the course dives deep into advanced topics, including the Linux kernel, system startup, and capacity planning, to help you optimize system performance and ensure reliable operation.LPIC-2 (Linux Professional Institute Certification Level 2) is an intermediate-level certification offered by the Linux Professional Institute (LPI), designed to validate advanced Linux system administration skills. It is the second level in the LPI certification track and builds upon the foundational knowledge gained from the LPIC-1 certification.LPIC-2 focuses on key areas such as managing Linux-based systems in complex, multi-user environments, including advanced topics like system optimization, network configuration, security, and troubleshooting. To earn the certification, candidates must pass two exams: 201-450 and 202-450, which cover various aspects of advanced Linux system administration.You'll explore advanced networking concepts, security measures, and configurations, equipping you with the skills needed to manage complex network environments and safeguard your systems. The course also covers advanced services such as DNS and email servers, focusing on configuration, troubleshooting, and security best practices.With a focus on real-world scenarios, you'll learn how to implement advanced security controls and access management to protect your infrastructure. Gain critical troubleshooting and recovery skills, ensuring you can handle system failures and restore services efficiently.You'll also explore advanced file sharing, data management, and the integration of virtualization, containers, and cloud services, preparing you to handle the growing demands of modern IT infrastructures. Additionally, the course provides comprehensive exam preparation strategies to ensure success in the LPIC-2 certification, while also guiding your career advancement as a Linux professional.By the end of this course, you'll not only be ready for the LPIC-2 certification but also be equipped with advanced Linux administration skills to excel in your career as a senior Linux system administrator or network engineer.Thank you
    Who this course is for
    Linux System Administrators: Those looking to deepen their knowledge of Linux systems and advance to more complex tasks like network management, security, and system optimization.
    Network Administrators: Professionals responsible for configuring and managing network services, security, and advanced Linux networking.
    IT Professionals: Individuals working in enterprise environments who want to strengthen their expertise in managing large-scale Linux systems.
    Aspiring LPIC-2 Candidates: Those who have completed the LPIC-1 certification and are preparing for the next step in the LPI certification track.
    Cloud and Virtualization Engineers: Professionals interested in mastering Linux virtualization, containers, and cloud service integration.
    Anyone Seeking Career Advancement in Linux: IT practitioners aiming to solidify their credentials and qualify for senior Linux administrator or engineer roles.

    Homepage:


    Code:
    https://www.udemy.com/course/iso-27001-essentials-a-compact-guide-to-certification/

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    Microsoft Power BI for Beginners 2024 by Isabella Reyes

    Microsoft Power BI for Beginners 2024 by Isabella Reyes





    Published 9/2024
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Language: English | Duration: 1h 30m | Size: 584 MB

    Learn Data Preparation, Analysis and Visualization | Build Powerful Dashboards using Power BI Desktop


    What you'll learn
    Equipt students with hands-on experience of business intelligence tools leveraged by data analysts and data scientist
    Understand the capabilities and use cases of Power BI
    Acquire data from various sources and create robust data models
    Desgin and build visually appealing and informative reports and dashboards
    Perform advanced data analysis and create custom calculations for deeper data insights, commonly used by data scientists
    Requirements
    Microsoft Power BI Desktop (free download)
    No programming experience needed
    Description
    If you are looking to learn Power BI from scratch or improve your existing skills, this course will provide you with the necessary reporting tools and skills to create your first dashboard using Microsoft Power BI. It is designed to cater to learners of beginner level as it will cover everything related to cleaning and transforming datasets, building relationships between data tables, creating common DAX calculations, and using powerful visualizations for analysis.The course will cover 3 main parts:Part 1: Creating VisualizationsIntroduction to Power BI Desktop: Download and install the software.Common visualizations: Learn how to create various chart types, including drill down and conditional formatting Part 2: Get and Transform Data in Power Query EditorData cleaning and preparation: Learn how to import, clean and prepare dataData transformation: Learn how to transform text, numbers, dates, and times, and create custom columnsPart 3: Refining the ModelData relationships: Discover how to establish relationships between multiple tables in your data model.DAX calculations: Learn how to create custom columns and measures using the DAX language to perform calculations and derive insights from your data.This course will provide you with a solid foundation in Power BI, covering the core concepts and skills
    Who this course is for
    Anyone seeking a hands-on, project-based introduction to Microsoft Power BI
    Individuals looking to pursue careers in data analysis, analytics, or business intelligence
    Anyone aiming to sharpen their business intelligence abilities

    Homepage:


    Code:
    https://www.udemy.com/course/microsoft-power-bi-for-beginners-a/

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    Muscle Energy Techniques (MET)

    Muscle Energy Techniques (MET)





    Published 9/2024
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Language: English | Duration: 43m | Size: 574 MB

    Key Applications, Patient Assessment, and Integration with Other Modalities


    What you'll learn
    Apply muscle energy techniques (METs) effectively
    Manage various musculoskeletal dysfunctions
    Assess patient conditions and integrate METs within a broader treatment plan
    Understand the physiological principles behind METs
    Requirements
    Basic Anatomy Knowledge: Familiarity with basic anatomy is helpful but not required. We'll cover everything you need to know within the course.
    Description
    In this course, you will dive deep into the effective use of Muscle Energy Techniques (MET) for treating musculoskeletal dysfunctions. Developed from osteopathic principles, MET is a powerful tool used by physiotherapists and manual therapists to address muscle tightness, joint restrictions, and overall mobility issues. This course is designed to provide you with both foundational knowledge and practical skills to confidently apply MET in your clinical practice.Throughout the course, you'll learn how to assess patients effectively and determine when MET is the best approach. We'll explore different variations of MET and discuss how to incorporate these techniques into broader treatment plans. You'll also gain insights into how MET can be combined with other methods to enhance patient outcomes.By the end of this course, you'll understand how to apply MET safely and efficiently, customize treatment based on individual patient needs, and achieve improved clinical results. This course is perfect for physiotherapists, chiropractors, and manual therapists looking to expand their skill set and provide more comprehensive care to their patients. Whether you're just starting out or seeking to refine your technique, this course offers practical, strategies that will enhance your ability to treat musculoskeletal issues confidently and effectively.Good learning
    Who this course is for
    Physiotherapists
    Chiropractors
    Healthcare professionals
    Massage therapists
    Fitness trainers

    Homepage:


    Code:
    https://www.udemy.com/course/muscle-energy-techniques-met/

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    Online Arbitrage Business

    Online Arbitrage Business





    Published 9/2024
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Language: English | Duration: 1h 14m | Size: 1.63 GB

    How to calculate arbitrage in forex, Conditions for arbitrage, retail arbitrage versus online arbitrage etc.


    What you'll learn
    Top Amazon online arbitrage tips fro successful selling
    Retail arbitrage versus online arbitrage: choosing the right sourcing strategy for Amazon
    How to calculate arbitrage in forex
    Covered interest arbitrage
    How to make money on Amazon with online arbitrage
    Conditions for arbitrage
    Requirements
    Desire to learn more about arbitrage
    No special requirement
    Description
    Arbitrage is the practice of taking advantage of a difference in prices in two or more market- striking a combination of matching deals to capitalize on the difference, the profit being the difference between the market prices at which the unit is traded. when used by academics an arbitrage is a transaction that involves no negative cash flow at any probabilistic or temporal state and a positive cash flow in at least one state; in simple terms, it is the possibility to instantaneously buy something for a low price and sell for a higher price. Retail arbitrage involves purchasing products from brick- and-mortar retail stores at a discount and then reselling them on Amazon at a higher price. This strategy capitalizes on discrepancies in pricing between different marketplaces or clearance sales in physical stores. Online arbitrage follows a similar concept but takes place entirely on the internet. Sellers source products from various online retailers or e-commerce platforms at discounted prices and resell them on Amazon for a profit. Online arbitrage is also relatively easy to start, as it can be done from the comfort of your own home. Begin by visiting online retailers and e-commerce platforms to search for discounted products. To save time and increase efficiency, you may consider using specialized online arbitrage tools such as tactical arbitrage, which can help you identify profitable deals across multiple websites.
    Who this course is for
    Banks, business people, directors, CEO, government, student, online workers, online traders, etc.

    Homepage:


    Code:
    https://www.udemy.com/course/online-arbitrage-business/

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  7. #447
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    Python and Generative AI for Beginners - From Scratch

    Python and Generative AI for Beginners - From Scratch





    Published 9/2024
    Duration: 22h31m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 11.2 GB
    Genre: eLearning | Language: English

    Master Python and Dive into Generative AI with No Prior Experience: Learn to Code and Create Using Real-World Tools


    What you'll learn
    Beginners who dont code in their entire life time
    People who are in non tech role willing to look for technical opportunities
    People who have keen interest on learning Gen AI
    Understand how Gen AI industry works by creating real time applications
    Requirements
    Zero programming skills required. We will start everything from scratch
    Description
    This 16-lecture course is designed to provide a solid foundation in Python programming and an introduction to Generative AI. Tailored for beginners, the course includes both theoretical lessons and hands-on projects to ensure that learners can apply their knowledge in real-world scenarios. The entire course is more of a story telling format to beginners in realtime. The recordings can give you an immersive experience in class.
    Lecture 1: Introduction to Generative AI and Python
    Overview of the course structure and objectives.
    Introduction to Python and its importance in AI.
    Overview of Generative AI, including its applications and relevance in today's world.
    Python Fundamentals (Lectures 2-10)
    Lecture 2: Introduction to Python Basics
    Overview of programming and Python as a language.
    Setting up and using Google Colab for coding.
    Exploring GitHub for code storage and collaboration.
    Basic syntax in Python: print statements, comments.
    Lecture 3: Variables and Data Types
    Understanding variables and their role in programming.
    Exploring different data types: integers, floats, strings.
    Simple input and output operations using input() and print() functions.
    Lecture 4: Control Structures
    Conditional statements: if, elif, else.
    Comparison and logical operators.
    Introduction to loops: while loops and their use in repetitive tasks.
    Lecture 5: Lists and For Loops
    Lists: creation, indexing, slicing, and basic list methods.
    Introduction to for loops and their applications in iterating through lists.
    Lecture 6: Sets and Loops
    Working with sets: creation and methods.
    Continuation of for loops, applied to sets and other data structures.
    Lecture 7: Tuples and Dictionaries
    Overview of tuples: creation and properties.
    Working with dictionaries: creation, accessing values, and basic dictionary methods.
    Lecture 8: Functions in Python
    Understanding and using built-in functions.
    Defining custom functions, parameters, and return values.
    Lecture 9: Modules and Libraries
    Introduction to Python modules and libraries.
    Using the math module and understanding Python packages.
    Introduction to PIP for managing Python libraries.
    Lecture 10: String Operations and File Handling
    String operations and formatting.
    Reading from and writing to files using Google Colab's file system.
    Hands-on project: Create a simple Python project to demonstrate understanding of Python fundamentals.
    Introduction to Generative AI (Lectures 11-13)
    Lecture 11-12: Text Generation and LLMs
    Overview of text generation tools and Large Language Models (LLMs) like ChatGPT, Gemini, and Claude.
    Hands-on exercises using OpenAI Playground and Google AI Studio for text generation.
    Practical comparison of outputs from different AI tools.
    Lecture 13: AI-driven Code Generation and Prompt Engineering
    Introduction to AI-based code generation using tools like ChatGPT and Claude.
    Understanding Cursor IDE for AI-assisted coding.
    Practical project: Build a simple web page using AI-generated code.
    Advanced Generative AI Concepts (Lectures 14-16)
    Lecture 14: Image Generation and Running LLMs Locally
    Overview of image generation tools such as DALL-E, Midjourney, and Stable Diffusion.
    Practical exercise: Generating and animating images using runwayML.
    Running open-source LLMs locally using tools like Ollama and LMStudio.
    Lecture 15: Retrieval Augmented Generation (RAG)
    Using LLMs with custom data through RAG techniques.
    Introduction to embeddings and vector stores (chromaDB, qdrant).
    Practical exercise: Building a RAG pipeline to process and store PDFs in qdrant cloud.
    Lecture 16: Building Real AI Projects
    Introduction to Langchain and LlamaIndex.
    Hands-on project: Create a RAG-based question-answering system on a webpage.
    Exploring the open-source AI ecosystem and next steps for continued learning.
    By the end of the course, learners will have gained a thorough understanding of Python programming and practical experience with Generative AI, enabling them to build AI-driven projects.
    Who this course is for
    Aspiring learners who wants to learn Python and Generative AI

    Homepage:
    Code:
    https://www.udemy.com/course/python-genai-from-scratch
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  8. #448
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    Python Excel (Openpyxl) Programming With Coding Exercises

    Python Excel (Openpyxl) Programming With Coding Exercises





    Published 9/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 365.78 MB | Duration: 2h 46m

    Automate Excel Tasks and Enhance Data Handling with Python's openpyxl


    What you'll learn
    How to use the openpyxl library to automate Excel tasks efficiently.
    Techniques for creating, modifying, and formatting Excel files with Python.
    Methods for automating data entry, calculations, and report generation.
    Practical skills in handling complex Excel functions and integrating them with Python.
    Requirements
    Basic understanding of Python programming.
    Familiarity with Excel and its basic functionalities.
    Description
    In today's data-driven world, the ability to efficiently handle and manipulate Excel files is crucial for professionals across various industries. Python Excel (openpyxl) Programming with Coding Exercises is a comprehensive course designed to teach you how to harness the power of Python's openpyxl library to automate Excel tasks and streamline data processing workflows. Whether you're a data analyst, financial professional, or a programmer, this course will equip you with the skills needed to automate repetitive tasks, handle large datasets, and generate reports dynamically.The need for this course arises from the widespread use of Excel in business environments and the growing demand for automation to save time and reduce errors. While Excel is a powerful tool, performing repetitive tasks manually can be time-consuming and prone to mistakes. By leveraging Python with openpyxl, you can automate processes such as data entry, report generation, and complex calculations, freeing up time for more strategic work.Throughout the course, you'll engage in hands-on coding exercises covering essential topics, including:Introduction to the openpyxl library and its functionalitiesCreating and manipulating Excel workbooks, sheets, and cellsAutomating data entry and calculationsFormatting Excel sheets, including styling cells, rows, and columnsHandling complex Excel functions and formulas with PythonReading and writing data from/to Excel filesGenerating dynamic reports with Python automationEach exercise is designed to build your proficiency in Python and Excel integration, preparing you to tackle real-world challenges with confidence.Instructor Introduction: Your instructor, Faisal Zamir, is a seasoned Python developer with over 7 years of teaching experience. Faisal's deep understanding of Python programming and his practical approach to teaching ensure that you'll gain valuable skills that are immediately applicable in your professional work.30 Days Money-Back Guarantee: We are confident in the value this course provides, which is why we offer a 30-day money-back guarantee. If you're not completely satisfied, you can request a full refund-no questions asked.Certificate at the End of the Course: Upon completing the course, you'll receive a certificate that validates your expertise in Python and Excel automation, making it a valuable addition to your professional credentials.
    Overview
    Section 1: Introduction to Openpyxl
    Lecture 1 Introduction to Openpyxl
    Lecture 2 Lesson 01
    Lecture 3 Coding Exercises with Solutions
    Section 2: Basic Cell Operations
    Lecture 4 Basic Cell Operations
    Lecture 5 Lesson 02
    Lecture 6 Coding Exercises with Solutions
    Section 3: Formatting Cells
    Lecture 7 Formatting Cells
    Lecture 8 Lesson 03
    Lecture 9 Coding Exercises with Solutions
    Section 4: Working with Formulas and Functions
    Lecture 10 Working with Formulas and Functions
    Lecture 11 Lesson 04
    Lecture 12 Coding Exercises with Solutions
    Section 5: Manipulating Data with Python
    Lecture 13 Manipulating Data with Python
    Lecture 14 Lesson 05
    Lecture 15 Coding Exercises with Solutions
    Section 6: Working with Charts
    Lecture 16 Working with Charts
    Lecture 17 Lesson 06
    Lecture 18 Coding Exercises with Solutions
    Section 7: Advanced Excel Operations
    Lecture 19 Advanced Excel Operations
    Lecture 20 Lesson 07
    Lecture 21 Coding Exercises with Solutions
    Section 8: Automating Excel Tasks
    Lecture 22 Automating Excel Tasks
    Lecture 23 Lesson 08
    Lecture 24 Coding Exercises with Solutions
    Section 9: Integrating Openpyxl with Other Libraries
    Lecture 25 Integrating Openpyxl with Other Libraries
    Lecture 26 Lesson 09
    Lecture 27 Coding Exercises with Solutions
    Section 10: Real-World Projects
    Lecture 28 Real-World Projects
    Lecture 29 Lesson 10
    Lecture 30 Coding Exercises with Solutions
    Data analysts and financial professionals looking to automate Excel tasks.,Python developers seeking to expand their skills in data manipulation.,Professionals who regularly work with Excel and want to improve their efficiency through automation.

    Screenshots


    rapidgator.net:
    https://rapidgator.net/file/f3f7d8d828ce350339d40cfb68b64df9/adhzw.Python.Excel.Openpyxl.Programming.With.Coding.Exercises.rar.html

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  9. #449
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    Python Flask Web Applications Dev With Coding Exercises

    Python Flask Web Applications Dev With Coding Exercises





    Published 9/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 169.80 MB | Duration: 1h 42m

    Build Web Applications with Python Flask through Hands-on Coding Exercises


    What you'll learn
    How to build and deploy web applications using the Flask framework.
    Techniques for handling forms, user inputs, and authentication in Flask.
    Methods for connecting to databases and managing data with Flask-SQLAlchemy.
    Practical skills in creating RESTful APIs and deploying Flask applications to production.
    Requirements
    Basic understanding of Python programming.
    Familiarity with HTML and CSS.
    Description
    Welcome to Python Flask Practices with Coding Exercises, a course designed to empower you with the skills needed to create robust web applications using the Flask framework. Flask is a lightweight yet powerful web framework in Python, making it ideal for developers who want to build dynamic, scalable web applications with minimal overhead. This course is structured to take you from the basics of Flask to more advanced topics through hands-on coding exercises that will solidify your understanding.Why is learning Flask necessary? In an increasingly digital world, web development has become a critical skill. Flask offers the flexibility and simplicity needed to quickly build and deploy web applications, making it an essential tool for any developer's toolkit. Whether you're looking to start a career in web development, or you want to add web application skills to your Python expertise, this course is the perfect starting point.Throughout the course, you'll engage in practical exercises that cover a range of topics, including:Setting up and configuring Flask environmentsBuilding and organizing routes and viewsHandling forms and user inputsImplementing user authentication and security featuresConnecting to databases and managing data with Flask-SQLAlchemyDeploying Flask applications to production environmentsCreating RESTful APIs with FlaskEach coding exercise is carefully crafted to help you build real-world applications and develop a strong foundation in Flask. By the end of this course, you'll be able to create dynamic web applications that are both functional and efficient.Instructor Introduction: Your instructor, Faisal Zamir, is a seasoned Python developer with over 7 years of teaching experience. Faisal's in-depth knowledge of Python and web development, combined with his practical approach to teaching, ensures that you'll gain valuable skills that you can apply immediately in your projects.30 Days Money-Back Guarantee: We believe in the quality of our course, which is why we offer a 30-day money-back guarantee. If you're not completely satisfied, you can request a full refund with no questions asked.Certificate at the End of the Course: Upon completing the course, you will receive a certificate of completion that recognizes your expertise in Python Flask development, an excellent addition to your professional portfolio.
    Overview
    Section 1: Introduction to Flask
    Lecture 1 Introduction to Flask
    Lecture 2 Lesson 01
    Lecture 3 Coding Exercises with Solutions
    Section 2: Flask Templates and Static Files
    Lecture 4 Flask Templates and Static Files
    Lecture 5 Lesson 02
    Lecture 6 Coding Exercises with Solutions
    Section 3: Flask-WTF: Simplifying Form Handling
    Lecture 7 Flask-WTF: Simplifying Form Handling
    Lecture 8 Lesson 03
    Lecture 9 Coding Exercises with Solutions
    Section 4: Working with Databases in Flask
    Lecture 10 Working with Databases in Flask
    Lecture 11 Lesson 04
    Lecture 12 Coding Exercises with Solutions
    Section 5: User Authentication
    Lecture 13 User Authentication
    Lecture 14 Lesson 05
    Lecture 15 Coding Exercises with Solutions
    Section 6: RESTful APIs with Flask
    Lecture 16 RESTful APIs with Flask
    Lecture 17 Lesson 06
    Lecture 18 Coding Exercises with Solutions
    Section 7: Deploying Flask Applications
    Lecture 19 Deploying Flask Applications
    Lecture 20 Lesson 07
    Lecture 21 Coding Exercises with Solutions
    Section 8: Advanced Flask Features
    Lecture 22 Advanced Flask Features
    Lecture 23 Lesson 08
    Lecture 24 Coding Exercises with Solutions
    Section 9: Testing Flask Applications
    Lecture 25 Testing Flask Applications
    Lecture 26 Lesson 09
    Lecture 27 Coding Exercises with Solutions
    Section 10: Scaling and Optimizing Flask Apps
    Lecture 28 Scaling and Optimizing Flask Apps
    Lecture 29 Lesson 10
    Lecture 30 Coding Exercises with Solutions
    Aspiring web developers who want to learn Flask and build dynamic web applications.,Python developers looking to expand their skill set into web development.,Professionals interested in creating and deploying web applications efficiently.

    Screenshots


    rapidgator.net:
    https://rapidgator.net/file/3ea00d056d41bc0df6dcfde3296af18b/vqvxq.Python.Flask.Web.Applications.Dev.With.Coding.Exercises.rar.html

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  10. #450
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    Quantum Computing - Risk And Security Masterclass

    Quantum Computing - Risk And Security Masterclass





    Published 9/2024
    Duration: 1h47m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 711 MB
    Genre: eLearning | Language: English
    Learn and mitigate the risks introduced by Quantum Computing in this comprehensive course


    What you'll learn
    Fundamental Of Quantum Computing
    Risks of Quantum Computing
    Post-Quantum Cryptography
    NIST Standards On Post-Quantum Cryptography
    Mitigating Quantum Threats
    Requirements
    Basic understanding of technology
    Basic understanding of cryptography
    No prior understanding of Quantum Computing
    Description
    Quantum computing is emerging as a groundbreaking field, with the potential to revolutionize industries by solving complex problems at speeds unattainable by classical computers. However, with this power comes significant risks, particularly in the realm of security. As quantum technologies advance, they introduce new vulnerabilities, challenges, and security threats to the digital world. The "Quantum Computing - Risk and Security Masterclass" is designed to equip you with a deep understanding of quantum computing and the unique security risks it poses, while also exploring strategies to safeguard against these threats.
    This course covers the foundational principles, components, and best practices for understanding the risks and security implications of quantum computing.
    What You Will Learn
    Fundamentals of Quantum Computing and Security
    Understand the basic principles of quantum computing and its potential impact on cryptography and cybersecurity.
    Quantum Computing Risks
    Explore the specific security risks that quantum computing introduces, including threats to classical encryption methods and new attack vectors.
    Post-Quantum Cryptography
    Learn about the emerging field of post-quantum cryptography and how it aims to secure data in a quantum world.
    Mitigating Quantum Threats
    Implement strategies and best practices to prepare for and defend against the security risks posed by quantum advancements.
    Course Outline
    Introduction to Quantum Computing
    What is quantum computing?
    Quantum principles and how they differ from classical computing
    Importance of quantum computing in modern technology
    Quantum Computing Risks and Security Challenges
    How quantum computing threatens classical encryption
    New attack vectors enabled by quantum technologies
    Case studies of potential security risks
    Post-Quantum Cryptography
    Overview of post-quantum cryptography
    Key algorithms and their development status
    Preparing for a post-quantum world
    Defensive Strategies Against Quantum Threats
    Security best practices in the quantum era
    Developing quantum-resilient systems
    Awareness and preparation for organizations
    Who Should Take This Course
    This course is ideal for anyone interested in understanding the security risks associated with quantum computing, including
    Cybersecurity professionals
    CISOs, CROs, CTOs etc.
    IT Managers and Decision-Makers
    Cryptography experts
    Technology enthusiasts
    Anyone curious about the future of computing and security
    Prerequisites
    No prior knowledge of quantum computing is required. A basic understanding of computer security and cryptography will be helpful but is not mandatory.

    Homepage:


    Code:
    https://www.udemy.com/course/quantum-computing-risk-and-security-masterclass/

    Screenshots






    Download link






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