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Free Download Udemy - Python for Excel Use xlwings for Data Science and Finance Last updated 3/2025 Created by Alexander Hagmann MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + Embedded subtitle | Duration: 208 Lectures ( 17h 5m ) | Size: 5.93 GB Integrate Excel and Python and get the best of two Worlds! Python Beginners welcome. Use Pandas, Seaborn & co. in Excel What you'll learn Automate Excel with clean and powerful Python Code Learn and master the xlwings library from 0 to 100 Use Excel as Graphical User Interface (GUI) and run your Python code with Excel Create powerful Dashboard Apps with Excel (frontend) and Python (backend) Use powerful Data Visualization Tools (Matplotlib, Seaborn) in Excel Learn Python from scratch with a taylor-made Crash Course (For Python beginners) Write UDFs (user defined functions) and use Numpy, Pandas and Machine Learning Libraries directly in Excel Write Excel tools with Python instead of VBA and call your code directly from within Excel Use xlwings to automate Excel reports with Python Prototype Web apps Write and use Dynamic Arrays with xlwings Run your financial model 10,000 times & more with a Python Monte Carlo Simulation Load (financial) data from Web APIs directly into Excel Run Python Scripts from within Excel with Run main and RunPython Replace VBA macros with clean and powerful Python code Requirements A desktop computer (Windows or Mac) capable of storing and running Python/Anaconda. The course will walk you through installing the necessary free software. An internet connection capable of streaming HD Videos. A working installation of Microsoft Excel. Mac users are welcome. Please note that 10%-15% of the course content (UDFs) work on Windows only! Willingness to code and work with Python. Description Newly added in Oct 2023: The NEW Python in Excel Feature!(Python in Excel and xlwings are complementary tools - get the best of both tools!)Excel vs. Python - what is the best tool for Data Science, Business, and Finance?The answer is: Use Excel and Python together and integrate both tools with xlwings. Get the best of two worlds!With xlwings, you can use Python Data Science libraries like Numpy, Pandas, S[beeep], Matplotlib, Seaborn, and Scikit-learn directly in Excel! You can run Python code in Excel and boost your Excel projects! More and more Professionals and Developers useExcel as Frontend Python as analytical Backend. This course is the perfect choice for Experienced Python Coders: Use Excel as Graphical User Interphase (GUI) | Run your Python scripts with Excel | Present your results with Excel Dashboards Excel Users and complete Python Beginners: Boost your Excel projects with clean and powerful Python code! Mixed Groups: Non-Coders can run and use Python code simply by clicking on buttons in Excel. Why take this course?You will learn and master the xlwings library from scratchFor Excel Users and complete Python Beginners: This course includes a Python Crash Course that is tailor-made for you!It´s the most comprehensive and practical (hands-on) xlwings course on the webIt covers three comprehensive real-world projects.Project 1: You will learn how to boost your financial model in Excel by adding a Python Monte Carlo Simulation - Run your Excel calculation 10,000 times with different sets of inputs and analyze the results!Project 2: You will learn to create Bloomberg-like Stock Dashboard Apps with Excel (Graphical User Interface) and Python (analytical Backend).Project 3: You will learn how to use Pandas methods and functions on your datasets directly in Excel.Why use Excel?There is no better Graphical User Interface (GUI) and Reporting tool than Excel. Excel is widely spread (750 million users) standardizedintuitive to usemost users are well-trained it requires low/zero setupit requires low/zero maintenance and it´s still the best choice for financial models & spreadsheet calculationsWhy use Python?With hundreds of powerful Libraries, Python is the first choice for Data Science, Machine Learning, and advanced analytics in Business and Finance. The Python Ecosystem is way more powerful and versatile than VBA. And it´s cleaner and easier to learn and apply!Why learn and master xlwings?xlwings is the perfect tool to integrate Excel and Python! xlwings allows you toAutomate Excel from Python e.g. to produce reports or to interact with Jupyter Notebooks.Write macros in Python that you can run from buttons in Excel, e.g. to load data from a database or an external API.Write UDFs (user-defined functions) and leverage the power from NumPy, Pandas, and machine learning libraries.Leverage Python's scientific stack for interactive data analysis using Jupyter Notebooks, NumPy, Pandas, scikit-learn, etc.Use xlwings to automate Excel reports with Python.Write Excel tools with Python instead of VBA and call your code directly from within Excel, e.g. via a button on the sheet.This also works great for prototyping web apps.Write (array) UDFs in a breeze by taking advantage of all the functionality already available in libraries like NumPy and Pandas.Dynamic array formulas are supported.As always, there is no risk for you as I offer a 30-day money-back guarantee. I am looking forward to seeing you in the course!(Mac users are welcome! However, please note that 10%-15% of the course content (UDFs) is currently unavailable on Mac!) Who this course is for Data Scientist and Finance Professionals seeking to use Excel as Frontend and Python as analytical Backend in their Projects. Excel professionals seeking to write Excel tools with clean Python code instead of VBA/Marcos. Python Beginners are welcome as the course includes a Python Crash Course designed for Excel Professionals. Python Developers seeking to work with Excel as GUI (Graphical User Interface). 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Free Download Pluralsight - Python Database Management with SQLAlchemy Released 4/2025 By Rudi Bruchez MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 50m | Size: 160 MB Learn to use SQLAlchemy for efficient database interactions. This course will teach you to build, query, and manage databases with ORM and Core techniques in Python applications. Managing databases efficiently can be challenging, especially as applications scale and evolve. In this course, Python: Database Management with SQLAlchemy, you'll learn how to leverage SQLAlchemy for smooth database interactions in Python applications. First, you'll explore how to establish database connections and understand the foundational concepts of SQLAlchemy's ORM and Core components. Next, you'll learn how to manage database schemas and even how to run database migrations using Alembic, ensuring your application remains adaptable to future needs. Finally, you'll discover how to perform CRUD operations to create, query, and manipulate data effectively using both Core and ORM approaches. When you're finished with this course, you'll have the skills and knowledge of SQLAlchemy needed to efficiently manage databases in Python and streamline workflows in real-world applications. Homepage: https://app.pluralsight.com/library/courses/python-database-management-sqlalchemy/table-of-contents [b]AusFile[/b] https://ausfile.com/yg95vg08o2ad/dqjya.Pluralsight..Python.Database.Management.with.SQLAlchemy.rar.html Fileaxa https://fileaxa.com/b6xictcomjvx/dqjya.Pluralsight..Python.Database.Management.with.SQLAlchemy.rar TakeFile https://takefile.link/2m7zjo178kqr/dqjya.Pluralsight..Python.Database.Management.with.SQLAlchemy.rar.html Rapidgator http://peeplink.in/ee1f110ee738 Fikper Free Download https://fikper.com/SZNiMUnebT/dqjya.Pluralsight..Python.Database.Management.with.SQLAlchemy.rar.html No Password - Links are Interchangeable

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Free Download Udemy - Turn Python into Profit Algorithmic Trading & Automation Published 4/2025 Created by Aman Awan MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 28 Lectures ( 3h 22m ) | Size: 1.7 GB Learn Python for Trading, Build Automated Strategies, and Start Earning with Hands-On Projects What you'll learn Master Python fundamentals - Learn core programming concepts, including data types, loops, and conditional statements, with a focus on finance applications. Work with real financial data - Fetch market data using Yahoo Finance, analyze datasets, and perform time-series evaluations in Jupyter Notebook. Build and backtest trading algorithms - Design, code, and test trading strategies with risk management and trade execution modules. Automate data collection and processing - Use Exchange APIs, CCXT library, and debugging techniques to fetch and clean financial data. Complete a real-world project - Research, develop, and backtest a real estate trading algorithm from start to finish. Requirements No prior programming experience required! This course starts with Python fundamentals, making it beginner-friendly. Basic understanding of finance is helpful but not necessary. We'll cover financial concepts as we apply them to coding. A computer with an internet connection - You'll need Python installed (we'll guide you through the setup). Jupyter Notebook recommended - We'll use it for data analysis and coding exercises. Description Are you ready to turn Python into profit and unlock the potential of algorithmic trading? Whether you're a trader, finance professional, or programmer, this hands-on masterclass will teach you how to use Python to build automated trading systems, analyze financial data, and create income streams.In this comprehensive course, you'll learn everything from Python fundamentals to advanced algorithmic trading strategies. By the end, you'll be able to design, backtest, and automate trading algorithms while leveraging real-world financial data to make informed decisions.What You'll Learn:Section 1: Python Fundamentals for FinanceMaster the basics of Python programming, including data types, loops, and conditional statements.Explore intermediate Python concepts to prepare for financial applications.Section 2: Working with Financial DataLearn how to fetch and analyze financial data from sources like Yahoo Finance.Use Pandas and Jupyter Notebooks for data frame analysis and time series evaluation.Understand how to interpret results and make data-driven decisions.Section 3: Coding and Backtesting Trading AlgorithmsDesign a trading algorithm from scratch, including data management, risk management, and trade execution modules.Learn how to backtest your strategies to ensure they're profitable and reliable.Explore portfolio management techniques to optimize returns.Section 4: Automated Data Collection, Cleaning, and StorageWork with exchange APIs and libraries like CCXT to collect live market data.Automate data cleaning and storage processes for efficient analysis.Debug and modify code to handle real-world trading scenarios.Section 5: Project: Research and Backtest a Realistic AlgorithmApply everything you've learned to develop, research, and backtest a real-world trading algorithm.Gain hands-on experience with a capstone project that simulates real trading environments.Why Enroll in This Course?No Prior Experience Needed: This course starts with the basics and gradually progresses to advanced topics, making it perfect for beginners and intermediate learners.Hands-On Projects: Learn by doing with real-world projects that simulate actual trading scenarios.Income-Focused Skills: Gain the skills to automate trading strategies and create potential income streams.Expert Guidance: Learn from an instructor with real-world experience in Python, finance, and algorithmic trading.Lifetime Access: Get lifetime access to course materials, including videos, code templates, and downloadable resources.Who Is This Course For?Aspiring Traders who want to use Python to build and automate trading strategies.Finance Professionals looking to enhance their data analysis and automation skills.Programmers interested in applying Python to financial markets and algorithmic trading.Anyone who wants to earn income by leveraging Python and algorithmic trading.Tools and Technologies Covered:PythonPandas, NumPy, and MatplotlibJupyter NotebooksYahoo Finance APICCXT LibraryExchange APIs (e.g., Binance, Coinbase)Start Your Journey to Financial Success Today!Don't just learn Python-use it to automate income streams, analyze markets, and build profitable trading algorithms. 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Free Download Udemy - Python Coding Preparation Published 4/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 239.68 MB | Duration: 0h 46m WINNING AT PYTHON INTERVIEWS What you'll learn Curated coding problems commonly encountered in Python-based technical interviews. Step-by-step solutions with detailed explanations. Real-world problem-solving applications. Algorithms (sorting, searching, recursion, dynamic programming, etc.). Data structures (lists, dictionaries, sets, tuples, etc.). Structuring responses to demonstrate logical thinking. How to effectively explain solutions during an interview Requirements Understanding of Python syntax (variables, loops, conditionals, functions). Familiarity with data types like strings, lists, tuples, dictionaries, and sets. Basic file handling (reading/writing files). Experience writing and debugging simple Python programs. Basic understanding of functions and recursion. Logical thinking and analytical skills. A Python 3.x installation on your computer. Jupyter Notebook, VS Code, PyCharm, or any preferred IDE. Description "Python Coding Prep: Winning at Python Interviews" is structured to provide you with a thorough understanding of the kinds of problems you might face and the strategies to solve them. Each problem is carefully selected to cover a wide range of topics, from basic syntax and data structures to more complex algorithms and real-world applications. The solutions are explained in detail, with a focus on clarity and efficiency, ensuring that you not only know how to solve the problem but also understand the underlying principles.In addition to technical skills, this book emphasizes the importance of problem-solving techniques and effective coding practices. You will find tips on how to approach problems methodically, optimize your code, and communicate your thought process clearly during an interview. These skills are crucial, as interviewers are often as interested in how you solve a problem as they are in the final answer.As you work through the problems, I encourage you to think critically and creatively. Take the time to explore different solutions and understand the trade-offs between them. This practice will not only prepare you for interviews but also make you a better programmer overall.Finally, remember that preparation is key to success. The more you practice, the more confident you will become. Use this course as a tool to hone your skills, build your confidence, and ultimately, achieve your career goals. Aspiring software developers, data analysts, and engineers preparing for technical interviews.,Candidates applying to tech companies, startups, or FAANG/MNCs that assess Python skills.,Anyone looking to improve problem-solving skills and ace whiteboard coding challenges.,Undergraduate & graduate students preparing for internships or full-time jobs in tech.,Students who have learned Python in coursework but need hands-on problem-solving practice.,Developers from other programming backgrounds (Java, C++, JavaScript) transitioning to Python roles.,IT professionals preparing for technical skill assessments in job interviews. Homepage https://www.udemy.com/course/python-coding-preparation/ [b]AusFile[/b] https://ausfile.com/2uynxwq6avyj/sthxm.Python.Coding.Preparation.rar.html Rapidgator https://rg.to/file/aada9eed4f8b866adcfc9191cdc042bc/sthxm.Python.Coding.Preparation.rar.html Fikper Free Download https://fikper.com/cX0vVvIgwI/sthxm.Python.Coding.Preparation.rar.html No Password - Links are Interchangeable

Free Download Udemy - Master Python With Me Published 4/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 677.66 MB | Duration: 2h 31m Learn Python from Scratch: Beginner-Friendly Coding Skills for Real-World Projects What you'll learn Write Real-World Python Code Confidently Automate Everyday Business Tasks Analyze and Visualize Data Develop Strong Computational Thinking Requirements No prior programming experience needed! This course is designed specifically for absolute beginners. Whether you're a student, working professional, or simply curious about coding-you're welcome here. 1. A computer or laptop (Windows, macOS, or Linux) 2. Internet connection (for downloading Python and watching the lessons) 3. Willingness to learn and explore 4.Basic familiarity with using a computer (opening files, typing, using browsers) Description Start your Python journey with a fun, beginner-friendly course designed to transform absolute beginners into confident Python coders. Whether you're a student aiming to build your future career, a professional looking to upgrade your technical skillset, or just a curious learner fascinated by the world of coding-this course is the perfect place to begin.We'll start from scratch, guiding you through the basics of Python step by step using simple explanations, real-world examples, and hands-on mini projects to help you confidently practice what you learn. You'll gain a strong understanding of key programming concepts such as variables, data types, operators, conditionals, loops, functions, lists, dictionaries, file handling, error handling, and more.By the end of this course, you won't just understand how Python works-you'll be able to write your own Python scripts, solve real problems, and build beginner-level projects with confidence and clarity. Along the way, you'll develop logical thinking, practical problem-solving skills, and a strong foundation for future learning in areas like web development, automation, or data science.No coding experience? No problem! All you need is a computer, internet access, curiosity, and a willingness to learn. So if you're ready to take your first step into programming, join us and let's start coding-together! This course is designed for absolute beginners who have no prior experience with programming or Python. Whether you're a student looking to enhance your resume, a recent graduate exploring new skills, or a professional from a non-technical background-such as business, marketing, finance, or operations-this course will help you build a strong foundation in Python. It's also a great starting point for anyone considering a career change into tech, including roles like developer, data analyst, or automation specialist. Even if you're simply curious about how coding works and want to explore it as a hobby or side skill, this course breaks down complex concepts into fun, easy-to-understand lessons. With a hands-on approach and real-world examples, you'll feel confident writing your first lines of Python code in no time. Homepage https://www.udemy.com/course/master-python-with-me/ [b]AusFile[/b] https://ausfile.com/9o77c7aalxeb/slwiz.Master.Python.With.Me.rar.html Rapidgator https://rg.to/file/5faf8c949ca3d570422aa69b1056dede/slwiz.Master.Python.With.Me.rar.html Fikper Free Download https://fikper.com/zO6ARoAmdX/slwiz.Master.Python.With.Me.rar.html No Password - Links are Interchangeable

Free Download Udemy - Master Calculus 2 Using Python - Integration, Intuition, Code Published 4/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 15.69 GB | Duration: 19h 3m Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills. What you'll learn Calculus Integration Python numpy sympy matplotlib s[beeep] Visualization Mathematics Geometry Proofs Applied integration Riemann sums Requirements Calculus 1 (differentiation) Some python coding (numpy, matplotlib, sympy) Description The beauty and power of integral calculusIf Calculus 1 was about understanding change, then Calculus 2 is about accumulation: how small changes stack up to build area, volume, probability, and complexity. Integration is where mathematics meets imagination - it's where the abstract and the physical merge.From Riemann sums to probability distributions, from arc lengths to solids of revolution, integral calculus provides the tools to describe, quantify, and visualize everything from the motion of particles to the structure of data. It's a gateway to multivariable calculus, mathematical modeling, and data science.And it's not just a theoretical subject. Integration is foundational to fields including physics, engineering, machine learning, quantitative finance, and statistics. If you want to understand the algorithms behind data science or build the mathematical foundation needed for AI, you need to understand integrals.So whether you're here to strengthen your math background, prep for a university course, or just challenge your brain - welcome.Why learn integral calculus?There are three reasons to study integrals:Real-world relevance: Integral calculus is used in nearly every STEM discipline - especially in areas like physics, economics, biology, and computer science. You'll learn how to compute volumes, model systems, and understand distributions - even extend into multivariable integration.Cognitive training: Integration requires both precision and creativity. You'll develop deep reasoning skills as you learn to connect concepts, derive formulas, and implement algorithms. It's like mental weightlifting.Math as a lifelong hobby: Instead of scrolling through another social-media feed, why not learn how to calculate the surface area of a rotating shape or simulate a probability distribution from scratch?? This course is a good way to keep your mind sharp and intellectually active.Learn calculus the old way, or learn it the modern way?You could learn integration by watching a lecture filled with blackboard equations and hoping it sinks in. Or you could take a more interactive, hands-on approach.This course follows the principle that "you can learn a lot of math with a bit of coding."You'll use Python - especially NumPy, SymPy, and Matplotlib - to visualize integrals, implement numerical approximations, explore convergence, and gain intuition for the fundamental ideas of calculus.There are three key reasons to use Python in this course:Deeper insight: Code helps make abstract concepts concrete. You'll build simulations and generate visuals that bring integrals to life.Practical skills: Numerical integration and symbolic computation are essential tools in applied mathematics and data science.Active learning: Coding forces you to think precisely and analytically, which leads to better retention and understanding.So this is just about coding integrals?Not at all. This isn't a programming course, and it's not about using Python to sidestep the math. The goal is to use code as a thinking tool - to help you understand what's going on mathematically, not to replace understanding with computation.In this course, you'll learn both how to integrate - with techniques like u-substitution, integration by parts, partial fractions - and why integration works, from multiple conceptual perspectives: geometric, analytic, and numerical.You'll also explore integration in surprising contexts: creating art from math, modeling randomness with probability distributions, and measuring volumes and surface areas of 3D objects.Are there exercises?Yes - lots of them! Almost every theoretical concept includes one or more exercises for you to solve, and I walk through all of the solutions step-by-step.Even better: You'll learn how to create your own calculus exercises, complete with solutions, so you can tailor your practice to exactly what you need. Think of it as building your own personal study plan - powered by Python and guided by your intuition.Is this the right course for you?This course is designed for learners who already have some experience with derivatives (e.g., from my Calculus 1 course or a university-level intro class). If you're ready to go deeper - into integration, area, volume, probability, and multivariable calculus - then this course is for you.It's particularly well-suited for:University students or autodidacts learning integral calculusData scientists, engineers, or coders wanting to strengthen their math foundationsLifelong learners who want a challenging and engaging intellectual pursuitNo course is right for everyone - so check out the preview videos and reviews before enrolling. And remember: Udemy offers a 30-day money-back guarantee, so there's no risk if you decide the course isn't a good fit. 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Free Download Udemy - Python OOP Course - Master Object-Oriented Programming Last updated: 8/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 5.75 GB | Duration: 5h 38m Master Python OOP and Become a Better Python Programmer by Writing Modular, Readable, and Reusable Python OOP Code What you'll learn Write clean code that is reusable, modular, and readable Level up your Python Programming skills Learn the fundamental object-oriented programming concepts Apply OOP concepts to your Python code Work on a project to enhance your understanding of the course Good and bad practices when writing OOP code Requirements Basic understanding of Python lists, dictionaries, and functions A computer to run Python on An appetite to learn by doing Description Important: This course is NOT for absolute beginners. Object-oriented programming / design is for intermediate-level learners.Object-oriented programming (OOP) is a programming model that is widely used in the industry.Mastering OOP concepts allows you to write code that is readable, maintainable, reusable, and overall more elegant. All of these are skills that separate high-performing programmers from average programmers.Everything in Python is actually an object! This means that your understanding of the Python programming language is not complete until you fully internalize OOP concepts and understand how to apply these concepts in Python.So if you want to be a solid Python programmer, then understanding OOP concepts, learning how to design, implement, and apply these concepts in your code is crucial.What You Will LearnWrite clean code that is reusable, modular, and readableLevel up your Python programming skillsLearn the fundamental object-oriented programming conceptsApply OOP concepts to your Python codeWork on a project to enhance your understanding of the courseGood and bad practices when writing OOP codeThis course is for you if you:have basic knowledge of Python and wants to take your skills to the next levelwant to learn the fundamental concepts of object-oriented programmingwant to learn how to apply object-oriented programming concepts in Pythonlike to learn concepts in-depthlike to learn by doing homework and working on a projectWhat are the prerequisites for this course?This course is about object-oriented programming in Python. I assume that you have a fairly basic knowledge of the Python programming language. For example, you know what variables, for loops, functions, lists, and dictionaries are. Beginners who want to learn the fundamental concepts of object-oriented programming,Beginners who want to learn how to apply object-oriented programming concepts in Python,Like to learn concepts in-depth,Want to take your skills to the next level Homepage: https://www.udemy.com/course/python-oop-course/ [b]AusFile[/b] https://ausfile.com/x2iogo3rasg6/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part1.rar.html https://ausfile.com/52heswlvn86j/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part2.rar.html https://ausfile.com/7ht32e4v196u/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part3.rar.html https://ausfile.com/9rvvjq7plcb5/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part4.rar.html https://ausfile.com/j2q25bx5xjtd/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part5.rar.html https://ausfile.com/b0ekemqjegyu/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part6.rar.html Rapidgator https://rg.to/file/1b828b3cd4d7483d797c68ee93ce37f4/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part1.rar.html https://rg.to/file/baca18028598c020cc2473c472aff130/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part2.rar.html https://rg.to/file/8f98f985fccad1e70f713871d0d8e85f/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part3.rar.html https://rg.to/file/e9d2b1a1d38ef2a9e19a87bb04b4aa9f/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part4.rar.html https://rg.to/file/63f59f2685e2c69e559c572f1adc9e66/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part5.rar.html https://rg.to/file/e963d86384ac1e3b01a8e6bf6007454d/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part6.rar.html Fikper Free Download https://fikper.com/jZf7X2HqL6/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part1.rar.html https://fikper.com/mXkWJ6Ha0p/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part2.rar.html https://fikper.com/bEMMawU1XS/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part3.rar.html https://fikper.com/PMsuGZuZfb/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part4.rar.html https://fikper.com/obBjJaiYwz/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part5.rar.html https://fikper.com/MEfVIbBGu9/yugxw.Python.OOP.Course.Master.ObjectOriented.Programming.part6.rar.html No Password - Links are Interchangeable

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This Python course provides a complete roadmap from fundamental Python concepts to advanced topics tested in job interviews.You'll learn the why behind Python's design, how to leverage its best features for high-performance, maintainable code, and get hands-on practice through real-world projects and interview-style coding challenges.By the end of this Python course for beginners, you'll not only write better Python code but also understand the thought process behind solving interview-level challenges. That means less anxiety on coding test day and more confidence in your ability to communicate solutions clearly.What Is Primarily Taught in Your Course?Core Python Knowledge: Syntax, data types, control flow, and fundamental coding practices.Intermediate to Advanced Concepts: OOP, decorators, generators, concurrency, and essential libraries.Problem-Solving & Algorithmic Thinking: Essential for acing technical interviews and coding challenges.Industry-Ready Practices: Project structure, code quality, testing, and debugging strategies.Interview Preparation: Focused exercises, mock questions, and real-world insights to help you land your dream Python job.Why Choose This Course?Comprehensive Coverage: From beginner-friendly reviews to advanced techniques, all in one place.Hands-On Approach: Practice coding challenges that mirror real interviews.Career-Focused: Tips and strategies for interview success at top tech companies.Expert Guidance: Content crafted by a seasoned professional with industry and interview experience.Get ready to master Python and shine in your next coding interview. 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