The course introduces you to more libraries, such as matplotlib and pandas, concepts, such as logic, control flow, and filtering, and includes a data science case study in order to consolidate your skills. Are you already using Python for data science but you want to go even further? You ...
py4cl - A library that allows Common Lisp code to access Python libraries. It is basically the inverse of cl4py. MIT. its fork py4cl2, at first less stable, now more developped and faster. py4cl2-cffi - CFFI based alternative to py4cl2. “When capable, the CFFI approach can be...
Programming languages such as R or Python are commonplace in data science projects. However, transforming data is usually tricky and the composition of the right primitives (using the appropriate libraries) to get the most elegant code transformation is not always easy. In this paper, we present ...
Let’s start by importing the required libraries: import pandas as pd import numpy as np 1. DataFrame Merge Key Mismatches Mismatched keys when merging dataframes is one of the most frequent errors you’ll run into. In this example, we try to merge two dataframes where the customer ID col...
List of common and most useful data items and methods of an array class in Python are:Sr NoData Item/Method Description Example (Consider a is array name) 1 array.typecode Returns the typecode of the array a.typecode 2 array.itemssize Returns the item size of an element of the array ...
Drawing from my experience as an engineer and data scientist at one of Australia’s banking giants for half a decade, I’ve had the privilege of straddling both sides of this heated fence: being a…
Java NIO, PyTorch, SLF4J, Parallax Scrolling, Java Cryptography, YAML, Python Data Science, Java i18n, GitLab, TestRail, VersionOne, DBUtils, Common CLI, Seaborn, Ansible, LOLCODE, Current Affairs 2018, Intellij Idea, Apache Commons Collections, Java 9,
Learn how to handle various types of errors in Python with examples. Enhance your coding expertise by mastering error identification and resolution techniques.
data-science-ipython-notebooks interactive-coding-challenges NumPy NumPy adds Python support for large, multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays. Installation The pydata.sh script installs NumPy. If you prefer to...
Pythonburgled-batteries - A bridge between Python and Common Lisp. The goal is that Lisp programs can use Python libraries. Not available on Quicklisp. MIT. cl4py - The library cl4py (pronounce as clappy) allows Python programs to call Common Lisp libraries. MIT. py4cl - A library that...