When working with data science, one of the most important tools you will need is Numpy. In this article, we will show you how to install Numpy on Pycharm so that you can get started with data science projects.
Prerequisites
To install Numpy on PyCharm, you need the following:
- Python 2.7 or 3.6
- PyCharm Professional Edition or Community Edition (tested with Community Edition)
- NumPy library version 1.11 or later
- The Anaconda Distribution for Python
- Pip installer for Python (version 8.1 or later)
Setting Up the Environment
Pycharm is a Python IDE that comes with a wealth of features, including support for popular scientific libraries like Numpy.
To install Numpy on Pycharm, follow these steps:
1. Open the Pycharm installation file (either by double-clicking on the .pycharm file or launching it from the command line) and enter the following into the terminal:
$ sudo python -m pip install numpy
2. If you are using an existing Pycharm installation, make sure you have updated it to the latest version. Enter the following into your terminal:
$ sudo pip install –upgrade pip
Importing the Numpy Library
If you are using the Python programming language, then you will likely be familiar with the Numpy library. This library provides high-performance matrices and vector operations, making it a popular choice for data science projects.
To install Numpy on your Pycharm development environment, follow these steps:
1. Open your Pycharm installation directory (usually located at C:\Program Files (x86)\Pycharm\).
2. Within this directory, open the Pycharm\venv\Scripts folder.
3. Within this folder, open the file called install_numpy.py.
4. Enter your Pycharm installation password when prompted.
5. Click the execute button to run the script.
6. When the script has completed its work, you should see a message indicating that Numpy has been installed successfully.
Now that Numpy has been installed, let’s take a look at some of its features and how they can be used in Python projects.
Making the First Formula
If you’re new to Python, or just need a refresher on some of the basics, our first post in this series will help get you up and running. In this tutorial, we’ll be installing the popular numerical programming library NumPy on PyCharm. NumPy is a powerful library that allows you to perform basic mathematical operations on large data sets quickly and easily.
Once NumPy is installed, we can start using it in our scripts by importing the library. To do so, open up your script file in PyCharm and type the following:
import numpy as np
Now that NumPy is imported, we can start using its various functions. The most basic operation that NumPy can perform is addition. To add two numbers together, use the addition operator ( + ):
num_1 = 10 num_2 = 20 print(“NumPy addition: “, num_1 + num_2)
The output from this code will be 30.
NumPy also includes a number of mathematical operators, such as subtraction ( – ), multiplication ( * ), and division ( / ). You can find out more about these operators by typing help(math)
Interacting With Numpy
Numpy is a powerful numerical programming library for Python. It offers high-performance universal data structures and tools for advanced mathematical operations. In this article, we will show you how to install Numpy on Pycharm, and then use it to perform basic mathematical operations.