Description
Python Course – Numpy and Pandas Python Programming Language Libraries. Welcome to my “Python: Python Programming with Numpy and 100 Quizzes” training course. Python Numpy and Pandas for Python Data Analysis, Data Science, Machine Learning from AZ with Python Projects and Quizzes. Python is a computer programming language that is often used to create websites and software, automate tasks, and perform data analysis. Python is a general-purpose language, which means that it can be used to create many different types of programs and is not specific to a particular problem. Pandas is an open source Python package that is commonly used for data science/data analysis and machine learning tasks. Pandas is built on top of another package called Numpy which supports multidimensional arrays. Pandas is primarily used for data analysis and manipulation of tabular data in DataFrames. Pandas allows importing data from various file formats such as comma separated values, JSON, Parquet, SQL and Microsoft Excel database tables or queries. data analysis, pandas, numpy, disability stack, disability python, python data analysis, python, python numpy, data visualization, python pandas, python pandas, python for data analysis, python data, data visualization. Pandas is a fast, powerful, flexible and easy-to-use open source data analysis and manipulation tool built on the Python programming language. Pandas Python aims to become the basic high-level building block for performing practical, real-world data analysis in Python. Additionally, the overarching goal is to become the most powerful and flexible open source data analysis/manipulation tool available in any language. Python is a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance, or are seeking a career in web development or data science, Python is one of the most important skills you can learn. Numpy is a library for the Python programming language that adds support for large, multidimensional arrays and matrices, along with a large set of high-level math functions to operate on these arrays. Additionally, Numpy forms the foundation of the machine learning stack. NumPy’s goal is to provide an array object that is 50 times faster than traditional Python lists. The array object in NumPy is called ndarray, it provides many support functions that make working with ndarray much easier. NumPy brings the computing power of languages like C and Fortran to Python, making it much easier to learn and use. With this power comes simplicity: the solution in NumPy is often obvious and elegant.
“Python: Learn Python with real Python examples” is for everyone! If you have no previous experience, No problem , This course is expertly designed to teach everyone from complete beginners to professionals (as a refresher). Why Python? Python is a general-purpose, high-level, multipurpose programming language. The best part about Python is that it supports many of today’s technologies, including comprehensive libraries for Twitter, data mining, scientific computing, design, backend servers for websites, engineering simulations, artificial learning, augmented reality, and much more! Plus, it supports all kinds of app development. What will you learn? In this course, we start from the very beginning and move towards programming with practical examples. First, we will learn how to set up a lab and install the necessary software on your device. Then, throughout the course, you will learn the basics of Python development
- Arguments and parameters
- High-level operations with arguments
- all(), any() works.
- The map() function.
- The filter() function.
- zip() function.
- The function numerate()
- max(), min() functions.
- sum() function.
- round() function.
- Lambda Function
- local and global variables
- Class characteristics
- Class Instantiation
- Urgency characteristics
- Write a function in a class
- Hereditary structure
- And…
What you will learn in the Python-Numpy and Pandas Python Programming Language Library course
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Pandas is an open source Python package commonly used for data science/data analysis and machine learning tasks.
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Pandas is mainly used for data analysis and manipulation of tabular data in DataFrames.
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Pandas is a fast, powerful, flexible, and easy-to-use open source data analysis and manipulation tool built on the Python programming language.
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Pandas Python aims to become the basic high-level building block for performing practical, real-world data analysis in Python.
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Numpy is a library for the Python programming language that supports large and multidimensional arrays and matrices.
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NumPy aims to provide an array object that is 50 times faster than traditional Python lists.
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NumPy brings the computing power of languages like C and Fortran to Python.
This course is suitable for those who
- Anyone who wants to start learning Python Bootcamp
- Anyone planning to become a Python developer
- Anyone who needs a complete guide on how to start and continue working with Python in data analysis
- And also, those who want to learn developing Ptychon programming
- People who want to learn Python
- People who want to learn Python programming
- Those who want to learn Python programming, Python examples
- Anyone particularly interested in big data, machine learning
- Those who want to learn the pandas library which is essential for data science
- Those who want to improve themselves in the field of Python programming language and data science
Python Course Specifications – Numpy and Pandas Python Programming Language Libraries
Course Topics Python- Numpy and Pandas Python Programming Language Libraries on 1/2024
Python Course Prerequisites – Numpy and Pandas Python Programming Language Libraries
- A working computer (Windows, Mac, or Linux)
- No prior knowledge of Python required for beginners
- Motivation to learn program language with second highest number of job postings relative to all others
- Desire to learn Machine Learning Python
- Curiosities about Python programming
- Willing to learn Python programming, Pycharm, Python Pycharm
- Nothing else! It’s just you, your computer, and your ambition to get started today
Course Images
Sample video of the course
installation Guide
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4.3 GB