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Free Download The Ultimate Beginners Guide to Python NumPy Published 10/2024 Created by Jones Granatyr,Denny Ceccon MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 75 Lectures ( 7h 46m ) | Size: 2.8 GB Master everything you need to know about NumPy for numerical analysis and scientific calculations! Solved exercises! What you'll learn Strengthen your Python knowledge and enhance your programming skills to work with NumPy arrays in your projects. Explore the powerful nature of NumPy arrays and their essential attributes for efficient data manipulation. Create, populate, and navigate NumPy arrays, extracting and modifying data seamlessly. Use methods and functions to perform complex operations on your arrays, optimizing your code and leveraging the full potential of NumPy. Dive into fundamental data science concepts, learning to manipulate and analyze data effectively. Requirements Basic programming logic and Python programming, although it's possible to follow the course without deep knowledge in these areas. Description This course is designed for Python developers who want to explore the powerful features of the NumPy library. Through hands-on lessons, you will acquire the skills needed to work with multidimensional arrays, perform complex scientific calculations, and manipulate data efficiently.We will cover the following topics:ndarrays (the fundamental class of NumPy) and their attributes:Create and manipulate multidimensional arrays with the `ndarray` class Explore the essential attributes of `ndarrays` Learn array indexing and slicing techniques, and value assignment Understand the different ways to create populated arrays ndarray methods:Extract attributes and perform mathematical operations on arrays Use `ndarray` methods to efficiently manipulate data Array manipulation:Use array manipulation functions to modify and transform data Combine arrays in different ways to create more complex datasets Learn how to transpose, reorder, and invert arrays Explore advanced indexing techniques to extract specific information from arrays Powerful NumPy functions for analysis:Use linear algebra functions to solve systems of equations, compute inverse matrices, and more Apply statistical functions to analyze data, calculate measures of central tendency and dispersion Master NumPy universal functions to perform mathematical operations on arrays And more:Generate random numbers with different probability distributions Discover useful NumPy constants for scientific calculations Save and load arrays for data persistence By the end of this course, you will confidently use the NumPy library for numerical analysis in Python, work efficiently with multidimensional arrays, perform complex scientific calculations on arrays with precision and speed, manipulate data efficiently to extract valuable insights, and integrate the NumPy library into your existing Python development projects. With over 7 hours of step-by-step videos and solved exercises at the end of each section! Who this course is for Python developers interested in learning how to optimize operations involving vector and matrix calculations. Data Science students seeking essential knowledge in one of the key libraries for data manipulation and analysis in Python. Data Science professionals looking to deepen their understanding of the main concepts and functionalities of one of the most commonly used libraries in their daily work. Homepage https://www.udemy.com/course/the-ultimate-beginners-guide-to-python-numpy/ Welcome to Check it Every Days Rapidgator https://rg.to/file/42fa46ffdca20f93a261e64e984a9531/nfvya.The.Ultimate.Beginners.Guide.to.Python.NumPy.part2.rar.html https://rg.to/file/97b92a64781415766f5de0c9edb18d22/nfvya.The.Ultimate.Beginners.Guide.to.Python.NumPy.part1.rar.html https://rg.to/file/ca1b0115a5939c9d21d76bf2076452af/nfvya.The.Ultimate.Beginners.Guide.to.Python.NumPy.part3.rar.html Fikper Free Download https://fikper.com/aX8bAAM4aK/nfvya.The.Ultimate.Beginners.Guide.to.Python.NumPy.part1.rar.html https://fikper.com/nMoGOm2vU7/nfvya.The.Ultimate.Beginners.Guide.to.Python.NumPy.part3.rar.html https://fikper.com/olaeEsJFO1/nfvya.The.Ultimate.Beginners.Guide.to.Python.NumPy.part2.rar.html No Password - Links are Interchangeable

Free Download Python Numpy Programming with Coding Exercises Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 32m | Size: 312 MB Master Numerical Computing and Data Analysis with NumPy Through Hands-On Coding What you'll learn How to create and manipulate NumPy arrays for efficient numerical computing. Techniques for performing mathematical operations and statistical analysis with NumPy. Advanced array manipulations such as reshaping, indexing, and broadcasting. Application of NumPy in solving linear algebra problems and integrating with other data analysis tools. Requirements Basic knowledge of Python programming. Understanding of fundamental mathematical concepts. Description Welcome to Python NumPy Programming with Coding Exercises, a comprehensive course designed to teach you the essentials of numerical computing using the NumPy library. NumPy is a fundamental package for scientific computing in Python, providing support for arrays, matrices, and a wide range of mathematical functions. This course will guide you through the core functionalities of NumPy, enhancing your ability to perform efficient data manipulation and analysis.In today's data-driven world, proficiency in numerical computing is crucial for analyzing data, performing complex calculations, and building machine learning models. NumPy's powerful array operations and mathematical capabilities make it an indispensable tool for data scientists, analysts, and engineers. This course aims to equip you with practical skills and knowledge through hands-on coding exercises that reinforce learning and apply concepts to real-world problems.Throughout this course, you will cover:Introduction to NumPy and its array objects: Understand the basics of NumPy, including array creation, manipulation, and basic operations.Array operations and mathematical functions: Learn to perform arithmetic operations, statistical calculations, and algebraic manipulations with NumPy arrays.Advanced array manipulations: Explore topics such as indexing, slicing, reshaping, and broadcasting to handle complex data structures.Numerical methods and linear algebra: Apply NumPy for solving linear algebra problems, including matrix operations and decompositions.Data analysis and integration: Use NumPy for data cleaning, transformation, and integration with other libraries like pandas.Practical exercises: Apply your skills to solve real-world problems and work with datasets to reinforce learning and practice key concepts.By the end of this course, you will be proficient in using NumPy for numerical computing, enabling you to handle large datasets efficiently and perform advanced mathematical operations with ease.Instructor Introduction: Faisal Zamir is a seasoned Python developer and educator with over 7 years of experience in teaching and working with Python libraries. Faisal's expertise in numerical computing and his clear, practical teaching approach will guide you through the intricacies of NumPy, ensuring you gain valuable skills and insights.Certificate at the End of Course: Upon successful completion of the course, you will receive a certificate that validates your skills in Python NumPy programming, enhancing your professional profile. Who this course is for Data scientists and analysts seeking to enhance their skills in numerical computing. Python developers interested in mastering array operations and data manipulation. Professionals and students aiming to apply mathematical and statistical techniques in their projects. Homepage https://www.udemy.com/course/python-numpy-programming-with-coding-exercises/ Screenshot Rapidgator https://rg.to/file/6d10eb2c4afe507c5ab1e74c4339ec64/emglh.Python.Numpy.Programming.with.Coding.Exercises.rar.html Fikper Free Download https://fikper.com/Dn5C7znUHu/emglh.Python.Numpy.Programming.with.Coding.Exercises.rar.html No Password - Links are Interchangeable

Free Download NumPy, Pandas, & Python for Data Analysis A Complete Guide Published 9/2024 Created by Sara Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 33 Lectures ( 4h 31m ) | Size: 1.24 GB Learn Data Analysis Techniques with Python, NumPy, and Pandas: From Data Cleaning to Advanced Visualization What you'll learn: Introduction to Jupyter Notebook Basic Python programming concepts Installing NumPy & Pandas Creating NumPy arrays from Python lists Mathematical functions in NumPy Reading and writing files with NumPy Creating and understanding DataFrames DataFrame indexing and selection Adding, removing, and updating data Data filtering, sorting, and grouping Time series analysis and manipulation Identifying and handling missing data Merging, joining, and concatenating DataFrames Applying functions to DataFrames Customizing plots (titles, labels, colors) Creating complex visualizations (histograms, scatter plots, box plots) Memory optimization techniques Requirements: No prior knowledge is required. Description: Unlock the full potential of data analysis with NumPy, Pandas, and Python in this comprehensive, hands-on course! Whether you're a beginner or looking to sharpen your skills, this course will guide you through everything you need to master data analysis using Python's most powerful libraries.You will learn to:Python for Data Analysis: Master the fundamentals of Python, the most popular language for data science, including core programming concepts and essential libraries.NumPy Essentials: Dive deep into NumPy for fast numerical computations, array manipulation, and performance optimization.Pandas Mastery: Learn how to efficiently work with large datasets using Pandas, the powerful data manipulation library. Handle, clean, transform, and analyze real-world data with ease.Data Visualization: Understand how to represent your data visually to gain insights using Python libraries like Matplotlib and Seaborn.Real-World Projects: Apply your knowledge to real-world datasets, tackling data challenges from start to finish-exploring, cleaning, and drawing insights.What you'll learn:Fundamentals of Python programming for data analysisIntroduction to NumPy: Arrays, operations, and performance techniquesDeep dive into Pandas: DataFrames, Series, and advanced data manipulationData cleaning and preprocessing techniquesExploratory data analysis (EDA) with PandasReal-world case studies and hands-on projectsEnroll today and take the first step toward mastering data analysis with Python, NumPy, and Pandas! Who this course is for: Anyone looking to enhance their data analysis skills using Python Beginners interested in data analysis with Python Data enthusiasts looking to gain in-demand skills Homepage https://www.udemy.com/course/numpy-pandas-python-for-data-analysis-a-complete-guide/ TakeFile https://takefile.link/f0hljzquin6x/bepev.NumPy.Pandas..Python.for.Data.Analysis.A.Complete.Guide.part1.rar.html https://takefile.link/ee9n2rzxblvq/bepev.NumPy.Pandas..Python.for.Data.Analysis.A.Complete.Guide.part2.rar.html Rapidgator https://rg.to/file/6ea9fea7c8b740e0fe6031a40a50c05a/bepev.NumPy.Pandas..Python.for.Data.Analysis.A.Complete.Guide.part1.rar.html https://rg.to/file/35bd2af37a41d44fe9ae82166cdd3105/bepev.NumPy.Pandas..Python.for.Data.Analysis.A.Complete.Guide.part2.rar.html No Password - Links are Interchangeable

Free Download Numpy Programming Mastery - Learn Python For Data Analysis Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 571.51 MB | Duration: 2h 30m Master NumPy for Data Analysis: Learn Python Techniques for Efficient Data Manipulation and Complex Computations What you'll learn Understanding Arrays and Matrices Creating NumPy Arrays Indexing and Slicing Arrays Joining and Splitting Arrays Statistical Operations Broadcasting and Vectorization Loading Data from Files Handling Missing Data Working with Structured Arrays Implementing Random Number Generation Advanced Indexing Techniques Performance Considerations in NumPy Memory Management in NumPy Data Analysis with NumPy Scientific Computing with NumPy Machine Learning with NumPy Requirements No Prior Knowledge is Required. Description Unlock the power of data analysis with our comprehensive course, NumPy Programming Mastery: Learn Python for Data Analysis. Designed for both beginners and experienced programmers, this course provides an in-depth exploration of NumPy, the essential library for numerical computing in Python.What You'll Learn:Begin with the basics, including array creation, data types, and basic operations. Build a solid foundation in how NumPy handles large datasets with high efficiency.Dive deeper into complex array operations such as reshaping, slicing, and broadcasting. Learn how to perform sophisticated data manipulations and transformations with ease.Explore NumPy's extensive suite of mathematical functions for linear algebra, statistical analysis, and random number generation. Gain practical skills in performing high-level calculations and data analysis.Understand how to seamlessly integrate NumPy with other Python libraries like Pandas and Matplotlib to enhance your data analysis workflow.Apply your knowledge through hands-on projects and real-world case studies. Work on practical examples that simulate real data analysis scenarios, reinforcing your learning and boosting your confidence.Course Features:Engaging video tutorials and coding exercises designed to reinforce key concepts.Real-life projects that provide practical experience and showcase your skills.Learn from experienced instructors with a deep understanding of data analysis and NumPy.Whether you're looking to enhance your data analysis skills or embark on a new career in data science, NumPy Programming Mastery offers the tools and expertise you need to succeed. Enroll today and start your journey toward mastering Python for data analysis! Overview Section 1: Section 1: Getting Started with NumPy Lecture 1 Understanding Arrays and Matrices Lecture 2 Creating NumPy Arrays Lecture 3 Basic Array Operations Section 2: Section 2: NumPy Array Manipulation Lecture 4 Indexing and Slicing Arrays Lecture 5 Reshaping and Flattening Arrays Lecture 6 Joining and Splitting Arrays Lecture 7 Copying and Viewing Arrays Section 3: Section 3: NumPy Mathematical Operations Lecture 8 Basic Mathematical Functions Lecture 9 Statistical Operations Lecture 10 Linear Algebra with NumPy Lecture 11 Broadcasting and Vectorization Section 4: Section 4: Working with Data in NumPy Lecture 12 Loading Data from Files Lecture 13 Saving Data to Files Lecture 14 Handling Missing Data Lecture 15 Working with Structured Arrays Section 5: Section 5: Advanced NumPy Techniques Lecture 16 Using NumPy for Image Processing Lecture 17 Implementing Random Number Generation Lecture 18 Advanced Indexing Techniques Lecture 19 Optimization with NumPy Section 6: Section 6: Performance and Optimization Lecture 20 Performance Considerations in NumPy Lecture 21 Using Cython to Speed Up NumPy Lecture 22 Integrating NumPy with Other Libraries Anyone interested to learning NumPy Programming Mastery Python for Data Analysis Homepage https://www.udemy.com/course/numpy-programming-mastery-learn-python-for-data-analysis/ Rapidgator https://rg.to/file/7894867ed2de8ec533cf0f4e9dae63d3/obpwe.Numpy.Programming.Mastery.Learn.Python.For.Data.Analysis.rar.html Fikper Free Download https://fikper.com/HPfXEruZEK/obpwe.Numpy.Programming.Mastery.Learn.Python.For.Data.Analysis.rar.html No Password - Links are Interchangeable

Lynda - NumPy Data Science Essential Training Size: 606 MB | Duration: 3h 54m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Intermediate | Language: English NumPy Data Science Essential Training introduces the beginning to intermediate data scientist to NumPy, the Python library that supports numerical, scientific, and statistical programming, including machine learning. The library supports several aspects of data science, providing multidimensional array objects, derived objects (matrixes and masked arrays), and routines for math, logic, sorting, statistics, and random number generation. Here Charles Kelly shows how to work with NumPy and Python within Jupyter Notebook, a browser-based tool for creating interactive documents with live code, annotations, and even visualizations such as plots. Learn how to create NumPy arrays, use NumPy statements and snippets, and index, slice, iterate, and otherwise manipulate arrays. Plus, learn how to plot data and combine NumPy arrays with Python classes, and get examples of NumPy in action: solving linear equations, finding patterns, performing statistics, generating magic cubes, and more. * Using Jupyter Notebook * Creating NumPy arrays from Python structures * Slicing arrays * Using Boolean masking and broadcasting techniques * Plotting in Jupyter notebooks * Joining and splitting arrays * Rearranging array elements * Creating universal functions * Finding patterns * Building magic squares and magic cubes with NumPy and Python DOWNLOAD http://rapidgator.net/file/9d6ccc06d8e263816bb165aa1ab1c8f6/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar.html https://bytewhale.com/ouyakjxgbng6/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar http://uploaded.net/file/elnb57mc/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar https://www.bigfile.to/file/XJpPpbRNbsfZ/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar http://nitroflare.com/view/D9E1D892FAF9B95/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar http://uploadgig.com/file/download/c56623faD3e381dd/f7x44.Lynda..NumPy.Data.Science.Essential.Training.rar

NumPy Data Science Essential Training With Charles Kelly Duration: 3h 54m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch | 606 MB Genre: eLearning | Level: Intermediate | Language: English NumPy Data Science Essential Training introduces the beginning to intermediate data scientist to NumPy, the Python library that supports numerical, scientific, and statistical programming, including machine learning. The library supports several aspects of data science, providing multidimensional array objects, derived objects (matrixes and masked arrays), and routines for math, logic, sorting, statistics, and random number generation. Here Charles Kelly shows how to work with NumPy and Python within Jupyter Notebook, a browser-based tool for creating interactive documents with live code, annotations, and even visualizations such as plots. Learn how to create NumPy arrays, use NumPy statements and snippets, and index, slice, iterate, and otherwise manipulate arrays. Plus, learn how to plot data and combine NumPy arrays with Python classes, and get examples of NumPy in action: solving linear equations, finding patterns, performing statistics, generating magic cubes, and more. Topics include: * Using Jupyter Notebook * Creating NumPy arrays from Python structures * Slicing arrays * Using Boolean masking and broadcasting techniques * Plotting in Jupyter notebooks * Joining and splitting arrays * Rearranging array elements * Creating universal functions * Finding patterns * Building magic squares and magic cubes with NumPy and Python Download From NitroFlare http://nitroflare.com/view/FFCECE85CFBEEA5/LyndaNumPyDataScienceEssentialTra.rar Download From Rapidgator http://rapidgator.net/file/d855cf8452185150bf7f83e695b5c4ee/LyndaNumPyDataScienceEssentialTra.rar.html