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You must learn how to use Matplotlib to create some of the most common charts like Line charts, Bar charts, Scatter plots, Histograms and Box plots.Īnother good plotting library that is built on top of Matplotlib and closely integrated with Pandas is called Seaborn. Matplotlib is the fundamental Python package for creating basic visualizations. These chapters cover most frequently used Numpy and Pandas features for manipulating data. Go through the chapters 4, 5, 7, 8 and 10 to learn Pandas and Numpy. Wes McKinney, the creator of Pandas, has written a fantastic book called " Python for Data Analysis". The primary data structure in Pandas is called a data frame. The underlying code for Pandas uses the NumPy library extensively. Pandas is the most popular Python library for manipulating data. Pandas is as an extension of NumPy.
Data scientists spend most of their time cleaning data, which is also called as data munging or data wrangling. Numpy provides the support of highly optimized multidimensional arrays, which are the most basic data structure of most Machine Learning algorithms. It is the most fundamental module for scientific computing with Python. That is exactly what Numpy and Pandas do.įirst, you should learn Numpy. The answer is that in Python, it is easy to offload number-crunching tasks to the lower layer in the form of a C or Fortran extension. You might ask then why is Python the most popular programming language for data science? Python is slow for numerically heavy algorithms and handling large amounts of data. Numpy and Pandas - An Excellent resource to learn them
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You don’t have to upgrade to the Pro Version as your goal is just to get familiar with the basics of Python programming language. Learn just the basics of PythonĬode Academy has an excellent course on Python, it takes you approximately 20 hours to complete it. While installing Anaconda, choose the latest Python 3 version.Īfter installing Anaconda, go through this article on Code Academy to learn how to use Jupyter Notebooks.
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You can go through the blog post titled " A Beginner’s Guide to Installing Jupyter Notebook Using Anaconda Distribution" to learn how to install Anaconda. Anaconda is the most widely used Python Distribution for data science and comes pre-loaded with all the most popular libraries. The simplest way for you to install Jupyter Notebook on your computer is by installing Anaconda. The Jupyter Notebook is a powerful programming environment for developing and presenting data science projects.
Therefore, you have to focus most of your time in learning the modules and libraries in Python to perform these tasks.įollow this incremental steps to learn Python for data science. This is a huge mistake because data scientists use Python for retrieving, cleaning, visualizing and building models and not for developing software applications. They also start solving Python programming riddles on websites like LeetCode with an assumption that they have to get good at programming concepts before starting to analyzing data using Python. Most aspiring data scientists begin to learn Python by taking programming courses meant for developers.
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