A Python course for absolute beginners – this will take you to a fairly serious early intermediate level.
All Levels, – 10.5 hours, 55 lectures
Average rating 3.7/5 (3.7 (68 ratings) Instead of using a simple lifetime average, Udemy calculates a course’s star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.)
No prior programming experience is needed
The course will use a Python IDE (integrated development environment) called iPython from Anaconda. We will go through a step-by-step procedure on downloading and installing this IDE.
Introductory Python: Functional language constructs; Python syntax; Lists, dictionaries, functions and function objects; Lambda functions; iterators, exceptions and file-handling
Database operations: Just as much database knowledge as you need to do data manipulation in Python
Auto-generating spreadsheets: Kill the drudgery of reporting tasks with xlsxwriter; automated reports that combine database operations with spreadsheet auto-generation
Text processing and NLP: Python’s powerful tools for text processing – nltk and others.
Website scraping using Beautiful Soup: Scrapers for the New York Times and Washington Post
Machine Learning : Use sk-learn to apply machine learning techniques like KMeans clustering
Hundreds of lines of code with hundreds of lines of comments
Drill #1: Download a zip file from the National Stock Exchange of India; unzip and process to find the 3 most actively traded securities for the day
Drill #2: Store stock-exchange time-series data for 3 years in a database. On-demand, generate a report with a time-series for a given stock ticker
Drill #3: Scrape a news article URL and auto-summarize into 3 sentences
Drill #4: Scrape newspapers and a blog and apply several machine learning techniques – classification and clustering to these
Talk to us!
A Note on the Python versions 2 and 3: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible.
Mail us about anything – anything! – and we will always reply
Pick up programming even if you have NO programming experience at all
Write Python programs of moderate complexity
Perform complicated text processing – splitting articles into sentences and words and doing things with them
Work with files, including creating Excel spreadsheets and working with zip files
Apply simple machine learning and natural language processing concepts such as classification, clustering and summarization
Understand Object-Oriented Programming in a Python context
Yep! Folks with zero programming experience looking to learn a new skill
Machine Learning and Language Processing folks looking to apply concepts in a full-fledged programming language
Yep! Computer Science students or software engineers with no experience in Java, but experience in Python, C++ or even C#. You might need to skip over some bits, but in general the class will still have new learning to offer you
“Excellent & Very Precise!! But Resource content is missing for this course.” (Sushil Kumar)
“This is a great python course.
You will have the opportunity to dive into relevant topics. They are well selected.
You will download files from websites, unzip them, read, process and finally write to Excel. You will work with a database.
You will learn about objects , object oriented programming and how to use them. And you learn a lot of meaningful things about text analysis and applications of machine learning.
I favor LoonyCorn – in my view, they are head and shoulders above the issues and convey the critical issues.” (H2m2)
“Like the presentation style, easy to understand even for kids. You can be up and running with python in no time.” (Sam)
Loonycorn is us, Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh. Between the four of us, we have studied at Stanford, IIM Ahmedabad, the IITs and have spent years (decades, actually) working in tech, in the Bay Area, New York, Singapore and Bangalore.
Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum
Navdeep: longtime Flipkart employee too, and IIT Guwahati alum
We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Udemy!
We hope you will try our offerings, and think you’ll like them
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