Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Expired

Numpy For Data Science – Real Time Experience

FREE $19.99 GET THIS DEAL

Requirements

  • Basic Python Programming knowledge, that you already have
  • You can use any one of these – Jupyter Notebook or PyCharm or Google Colab etc.

Description

Welcome to the comprehensive guide to mastering Numerical Python, also known as Numpy.

In this course, we dive deep into the Numpy library within the Python Programming Language, offering real-time coding exercises in Jupyter Notebook. Our aim is to demystify Numpy’s functionality and empower you with the ability to leverage its power for efficient numerical computations.

Numpy arrays are the cornerstone of numerical computing in Python. They provide a high-performance alternative to Python’s built-in lists and tuples, enabling lightning-fast mathematical operations. Throughout this course, you’ll explore a plethora of Numpy commands, equipping you with the skills to tackle a wide range of numerical tasks effortlessly.

Let’s embark on this journey to unlock the full potential of Numpy and revolutionize your approach to numerical computations. Whether you’re a beginner or an experienced Python programmer, this course offers valuable insights and practical exercises to elevate your proficiency in numerical computing.

Some Numpy Commands that we will use in this course.

Who this course is for:

  • Data Science Beginners who are interested in Python
Affiliate Disclaimer
This post may have affiliate link & we may get small commission if you make a purchase
Freebies Global
Logo