What’s Covered:
- 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!
- Mail us about anything – anything! – and we will always reply
What are the requirements?
- 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.
What am I going to get from this course?
- Over 52 lectures and 10.5 hours of content!
- 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
What is the target audience?
- 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
Get your Free Udemy Course on From 0 to 1: Learn Python Programming – Easy as Pie by clicking here.
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