#python numpy

[a-fox-studies]

Day 1 - 13th April, 2023

A wise someone (@compooter-blob) told me that NumPy, Pandas and Matplotlib are the butter, bread and milk of python development.

I started learning a bit of NumPy today, and I only have one word to describe it - cute.

[all-hail-trash-prince]

Man why is working with web apps so obnoxious. "422 unprocessable entity teehee. Good luck figuring out which entity it is, much less why I refuse to process it"

[amarantine-amirite]

[fortunatelycoldengineer]

Pandas . . . . for more information and tutorial https://bit.ly/3jqTlRP check the above link

[pythonbaires]

Aprende a analizar datos con python!

En este curso aprenderás cómo analizar datos en Python usando matrices multidimensionales en numpy, a manipular DataFrames en pandas, a usar la biblioteca SciPy de rutinas matemáticas y a realizar aprendizaje automático usando scikit-learn. Comienza ya mismo! Pasarás de comprender los conceptos básicos de Python a explorar muchos tipos diferentes de datos a través de clases, laboratorios…

[mabeloid]

can someone who's better at coding please tell me what this bug is

(chessgamesarr is a dtype=str numpy array)

why is it cutting the last two characters off why is it doing that i thought it might be a character limit thing but that only is 58->56 long that would be a weird number to cut off at

[marshmelonfluff]

bouncing back and forth between different languages for this project has been a trip. i keep declaring variables in matlab like go and trying to close off my equations in python with semicolons and forgetting that i can't just use brackets to make an array in go. where am i

[chronomally]

How I feel trying to figure out how to manipulate images using Pillow

[a-fox-studies]

Day 2 - 14th May, 2023

Today I learned about data types in NumPy, and also the different ways of type casting. It was a short study session, because I went out for lunch :P and also had a terrible flare afterwards.

The output of the code above is [ 1 2 3 ] as it converts the floating values into integer values.

🎧 321 blast off - PmBata

[pythongui]

Numpy:A Powerful Python Library| Python GUI

NumPy is a vital Python library for numerical computations, offering robust tools for array operations and mathematical functions. Widely adopted in data science and engineering, NumPy optimizes computational tasks with its efficient array-based operations, making it indispensable for scientific computing and data manipulation. To learn more about the details, please visit our website.

[learning-path]

Exploring NumPy: From Basics to Advanced Techniques

Master NumPy with ease! Our guide delves into array manipulation, math functions, and data analysis. Whether novice or expert, unlock the full potential of Python. #NumPy #Python #NumPy #DataAnalysis #MachineLearning

NumPy, short for Numerical Python, is a fundamental package for scientific computing in Python. It provides support for arrays, matrices, and a host of mathematical functions to operate on these data structures. This blog post will guide you through the basics of NumPy and its powerful features. Step 1: Check Python Installation Step 2: Install NumPy Step 3: Verify NumPy Installation Step 4:…

[codeexpertinsights]

Today, Python is one of the most prominent programming languages for web applications. Whether it’s building an AI and ML application or making an app with Django web development, Python is gaining global popularity. You can use Python for building scalable and rapid web applications. From ERP apps to B2C web apps, a Python development company can develop all kinds of applications for you. Python Development Companies are gaining popularity in the global development market. Python is a dynamic, object-oriented, and undoubtedly, a veteran programming language. Python Development Companies understand that this programming language enables the swift completion of tasks, allowing you to merge systems effectively.

[fortunatelycoldengineer]

[eyssant]

Master Python: Guide to Learning Python Online

Python has emerged as one of the most popular programming languages, known for its simplicity, versatility, and readability. Whether you're a beginner or an experienced programmer, learning Python opens up a world of opportunities in software development, data science, machine learning, and web development. With the abundance of online resources available, mastering Python has never been easier. In this guide, we will explore how you can effectively learn Python online.

1. Choose the Right Learning Platform

There are numerous online platforms offering Python courses, tutorials, and resources. Some of the most popular ones include:

Coursera: Offers Python courses taught by instructors from top universities and organizations.

edX: Provides Python courses from universities like MIT, Harvard, and others.

Udemy: Offers a wide range of Python courses at different skill levels.

Codecademy: Offers interactive Python tutorials suitable for beginners.

Microsoft: Provides free Python tutorials and projects for beginners.

2. Start with Fundamentals

If you're new to programming, it's essential to start with the fundamentals of Python. Focus on understanding basic concepts such as variables, data types, loops, conditionals, functions, and object-oriented programming principles. Many online courses and tutorials are specifically designed for beginners and provide a solid foundation in Python programming.

3. Hands-on Practice

Learning Python is not just about reading tutorials or watching videos; it's about hands-on practice. Make sure to write code regularly to reinforce your understanding of concepts and improve your problem-solving skills. Work on coding exercises, challenges, and projects to apply what you've learned and build confidence in your programming abilities.

4. Join Online Communities

Joining online communities and forums dedicated to Python can be incredibly valuable. Platforms like Stack Overflow, Reddit's r/learnpython, and Python-related Discord servers are great places to ask questions, share knowledge, and connect with other Python enthusiasts. Engaging with the community can help you stay motivated, gain insights from experienced developers, and troubleshoot issues you encounter while learning Python.

5. Build Projects

One of the most effective ways to learn Python is by working on real-world projects. Identify projects that align with your interests and apply your Python skills to solve problems or create something meaningful. Building projects not only reinforces your understanding of Python but also helps you develop practical experience and a portfolio to showcase your skills to potential employers or clients.

6. Explore Advanced Topics

Once you've mastered the basics of Python, you can explore more advanced topics based on your interests and career goals. These may include web development using frameworks like Django or Flask, data analysis and visualization with libraries like Pandas and Matplotlib, machine learning and artificial intelligence with libraries like TensorFlow and PyTorch, or automation and scripting for various tasks.

7. Stay Updated

The field of programming is constantly evolving, and Python is no exception. Stay updated with the latest developments, new features, and best practices in Python programming. Follow influential Python developers, subscribe to Python-related blogs and newsletters, and participate in online courses or webinars to keep your skills sharp and up-to-date with industry trends.

Conclusion

Learning Python online offers a flexible and accessible way to acquire valuable programming skills. By choosing the right learning platform, starting with fundamentals, practicing regularly, joining online communities, building projects, exploring advanced topics, and staying updated, you can master Python and unlock a world of opportunities in the ever-growing field of technology. Whether you're pursuing a career in software development, data science, or any other field, proficiency in Python is a valuable asset that can propel your success in the digital age. Happy coding!