Working with Python and Pandas
Published 2/2023
Created by Nisheeth Joshi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12 Lectures ( 2h 37m ) | Size: 890 MB
An Introduction
What you'll learn
understand the basic of Python programming language
understand how data can be sliced in core Python
Look at different data structures available in Python
Work with Pandas and NumPy libraries
Requirements
Basic programmatic/algorithmic thinking is required
Description
Learn Python from scratch and have fun along the way with the most modern, up-to-date Python course. This comprehensive and hands-on course will introduce you to all of the modern skills of a Python developer (Python 3) along the way.The curriculum is going to be very hands on as we walk you from start to finish to becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then we shall work with NumPy and Pandas.The topics covered in this course are:- Python Basics: Covering Installation and basic constructs and decision making via branching- Loops: Covering iterative constructs through for and while loops- Strings: Covering how we can slice and dice a string- Lists: Covering creation of lists and various list operations- Dictionaries: Covering creation of dictionaries and various operations on dictionaries- Functions: Covering various types of functions- Files: Reading and writing files and applying various manipulations on them- NumPy: Working with NumPy, covering NumPy arrays and matrices and their operations- Pandas: Working with data frames and applying various operations on themBy the end of this course, you will have an understanding of Python, NumPy and Pandas. We are going to use Python to work with data frames: CSV files, Excel files, Hd5 files. There are a lot of hands-on exercises which will help you understand the concepts learnt in the course.
Who this course is for
Beginners who wish to learn Python and Pandas
Homepage
https://www.udemy.com/course/working-with-python-and-pandas/
Links are Interchangeable - No Password - Single Extraction
