Numpy Course Programguru Org

Leo Migdal

-Nov 18, 2025, 6:17 PM

For the official NumPy documentation visit numpy.org/doc/stable. Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community. There’s a ton of information about NumPy out there. If you are just starting, we’d strongly recommend the following: You may also want to check out the Goodreads list on the subject of “Python+SciPy.” Most books there are about the “SciPy ecosystem,” which has NumPy at its core. Try these advanced resources for a better understanding of NumPy concepts like advanced indexing, splitting, stacking, linear algebra, and more.

Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Data Import/Export, NumPy, Time Series Analysis and Forecasting, Business Reporting, Jupyter, Data Wrangling, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, Data Cleansing,... Beginner · Specialization · 1 - 3 Months Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming... Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making,... Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming Learn one of the most important libraries of Python Programming – Numpy through our free Numpy tutorial.

Understand scalar functions, mathematical operations, arrays, joins, intersection, and matrix calculations. 10,000+ certificates claimed, get yours today! The course will introduce you to Numpy basics with a few examples. You will understand how you can use Numpy in Python programming. Next, you will learn about its various mathematical functions such as sum, subtract, multiply, and divide. Later, you will get familiar with the scalar functions of Numpy, wherein you will comprehend arrays of two different dimensions, such as a single and multi-dimensional array.

Moving ahead with the tutorial, you will be introduced to Numpy operations, including the joining of arrays, intersection, and the difference between arrays. In addition, you will also learn Numpy Matrix calculations, mainly the multiplication of elements in the matrix. Are you ready to upskill yourself than Numpy? Great Learning offers a highly professional Artificial Intelligence and Machine Learning program that covers every skill you need to become an accomplished Python Developer. In the first chapter of the tutorial, you will understand Numpy in detail. You will also learn to create different arrays using Numpy.

Next, you will be familiarized with various implementations of Numpy arrays with examples using Jupyter Notebook. Enroll now in our NumPy course to gain hands-on experience through live interactive sessions, real-world projects, and expert mentorship. We’ve successfully trained over 750 individuals through this practical, industry-relevant course. This course is fully aligned with modern data science workflows, allow you to write efficient numerical code and solve complex data problems confidently using NumPy. Upon successful completion of the NumPy training, igmGuru provides a recognized Course Completion Certificate. This certificate validates your skills in numerical computing with Python and showcases your expertise in using NumPy for data analysis, scientific computing, and machine learning.

Subscribe to our weekly newsletter for the latest news, articles, updates, and exclusive offers delivered straight to your inbox. This repository contains a complete, hands-on learning journey through NumPy — the powerful numerical computing library in Python. All topics are covered step-by-step with well-structured Python code files, practice examples, and theory notes. Ideal for beginners to intermediate learners, especially those preparing for Machine Learning, Data Science, or Technical Interviews. numpy-complete-guide/ │ ├── Part-1_Basics/ │ ├── intro.py │ ├── creating_arrays.py │ ├── indexing.py │ ├── slicing.py │ ├── datatypes.py │ ├── copy_vs_view.py │ ├── shape.py │ └── reshape.py │ ├── Part-2_Random_Distributions/ │ ├── random_intro.py... Made with ❤️ by [Muhammad Umair Bashir] FSC Pre-Med → Now exploring Machine Learning, NumPy, and Python Programming 💻

If you found this repo helpful, please consider giving it a ⭐️ on GitHub — it motivates and supports future content 🙏 Discover the basics of NumPy, a key Python library for numerical computing, in this beginner-friendly NumPy free course. Learn how to install NumPy, perform fundamental arithmetic operations, and explore various arrays and functions. Gain hands-on experience and finish the training with the ability to create histograms using Matplotlib. Share your certificate with prospective employers and your professional network on LinkedIn. Programming language for data scientists, AI and ML engineers

The average salary for a Python developer This NumPy free course provides an in-depth exploration of NumPy, a popular Python library. You'll learn about NumPy basics, installation procedures, and essential arithmetic operations, from fundamental concepts to practical applications. By completing this NumPy course free NumPy training, you'll acquire hands-on experience with diverse arrays and functions available in the library. Additionally, you'll gain proficiency in building histograms using Matplotlib. Included with.css-t3io8q{-webkit-align-items:baseline;-webkit-box-align:baseline;-ms-flex-align:baseline;align-items:baseline;background-color:rgba(255, 255, 255, 0.01);border-radius:4px;-webkit-box-decoration-break:clone;box-decoration-break:clone;color:var(--wf-text--link, #0065D1);display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;font-family:Studio-Feixen-Sans,Arial,sans-serif;font-size:inherit;font-weight:800;line-height:inherit;outline:0;-webkit-text-decoration:underline;text-decoration:underline;text-decoration-color:transparent;text-decoration-thickness:1.25px;-webkit-transition:box-shadow 125ms ease-out,background-color 125ms ease-out,text-decoration-color 125ms ease-out;transition:box-shadow 125ms ease-out,background-color 125ms ease-out,text-decoration-color 125ms ease-out;}.css-t3io8q:hover{background-color:var(--wf-bg--hover, rgba(48, 57, 105, 0.06));}.css-t3io8q:hover{box-shadow:0 0 0 2px var(--wf-bg--hover, rgba(48, 57, 105, 0.06));text-decoration-color:var(--wf-text--link, #0065D1);}Premium or Teams

“At ProgramGuru.org, our mission is to empower learners—especially coding interview aspirants—with clear, interactive visualizations and tutorials in DSA and programming, helping them master concepts and confidently achieve their dream tech careers.” Enable learners preparing for technical interviews to "visualize algorithms and understand better", guiding them from learning fundamentals to confidently cracking interviews. These programming courses provide structured lessons, hands-on coding exercises, and real-world projects—making it easier for learners to master concepts, build confidence, and grow from beginner to advanced levels without leaving the browser. We offer powerful online compilers for Top 10 popular programming languages. These compilers allow users to write, compile, and execute code directly in the browser without the need for any installation—making it easier for learners and professionals to test logic, and practice problems. NumPy is a library for Python that allows users to build multidimensional arrays and high-level mathematical functions.

It’s a fundamental package for anyone planning to do any scientific computing in the Python programming language. The NumPy library allows Python users to perform high-level scientific computing and manipulate arrays. It offers a variety of mathematical applications such as basic arithmetic, linear algebra, statistical analysis, and other functions optimized to operate on arrays. Professionals who use NumPy to work with data may also rely on other libraries to perform analyses. NumPy integrates with libraries like SciPy, pandas, and Matplotlib to provide users with a comprehensive tool set when working with different data formats. As an open-source software, NumPy is free to use.

Its accessibility and ease of use make it a suitable choice for beginners. Learning how to leverage its vast capabilities can expand your career opportunities and bring greater efficiency to your data-related work. Before you start learning how to use NumPy, it can help to first have some experience with the Python programming language. From there, you can take a course that covers the basics of the NumPy library:

Numpy Course Programguru Org

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For The Official NumPy Documentation Visit Numpy.org/doc/stable. Below Is A

Skills You'll Gain: Pandas (Python Package), Pivot Tables And Charts,

Understand Scalar Functions, Mathematical Operations, Arrays, Joins, Intersection, And Matrix

Moving Ahead With The Tutorial, You Will Be Introduced To

Next, You Will Be Familiarized With Various Implementations Of Numpy