Learn python programming from basics to advanced level and become a pro in performing python programming. Grab this chance to become a certified python programmer.
In this course, you’d be able to perform text processing splitting articles into sentences and words along with concepts like Clustering, classification, and summarization. You will learn to write Python programs and understand Object-oriented programming in the context of Python.
In this course, we will be using a Python IDE (integrated development environment) called iPython from Anaconda. Also, we will be going through a step-by-step procedure on how to download and install this IDE.
This course will teach you about the following:
- Introductory Python
- Functional language constructs Description
- Python syntax
- Functions and function objects
- Lambda functions
- Iterators
- Exceptions and
- File-handling
- Database operations
- Auto-generating spreadsheets
- Text processing and NLP
- Website scraping using Beautiful Soup
- Machine Learning video lessons
- Installing an IDE i.e integrated development environment
- Technical aspects
- Hundreds of lines of codes
On course drills like >
- Downloading a zip from the National stock exchange of India
- Unzipping the most actively traded securities
- Storing time series data of the stock exchange for the next 3 years
- Auto-summarizing and scraping new article URLs into 3 sentences
- Apply several Machine Learning techniques
- Scraping newspapers and blogs
Key en-rollers of this course can be:-
- Computer Science students
- Software engineers
- Students or professionals with no programming experience in Java
- Professionals dealing with Machine Learning and Language Processing
Some exceptional benefits associated with this course enrollment are:
- Gaining knowledge from an instructor group having high-end experience in such topics
- Quality course material on Python Programming
- Lifetime access to the course
- Instant & free course updates
- Access to all Questions & Answers initiated by other students as well
- Personalized support from the instructor’s end on any issue related to the course
- Few free lectures for a quick overview
Don’t miss this unique opportunity and enroll today itself!!
Curriculum
- 1 Section
- 55 Lessons
- 52 Weeks
- Course CurriculumWhat is Coding? Its a lot like Cooking!55
- 2.1Cooking is like coding7 Minutes
- 2.2Anaconda And Pip9 Minutes
- 2.3A list is a list!9 Minutes
- 2.4Fun with Lists8 Minutes
- 2.5Dictionaries and if else6 Minutes
- 2.6Don’t Jump throligh Hoops, use loops4 Minutes
- 2.7Doing stuff with loops5 Minutes
- 2.8Everything in life is a list – Strings as lists7 Minutes
- 2.9Modules are cool for code-reuse2 Minutes
- 2.10Our first serious program : Downloading a webpage17 Minutes
- 2.11A few details – Conditionals7 Minutes
- 2.12A few details – Exception Handling in Python7 Minutes
- 2.13A File is like a barrel11 Minutes
- 2.14Autogenerating Spreadsheets with Python9 Minutes
- 2.15Autogenerating Spreadsheets – Download and Unzip17 Minutes
- 2.16Autogenerating Spreadsheets – Parsing CSV files18 Minutes
- 2.17Autogenerating Spreadsheets with XLSXwriter5 Minutes
- 2.18Functions are like Foodprocessors10 Minutes
- 2.19Argument Passing in Functions12 Minutes
- 2.20Writing your first function12 Minutes
- 2.21Recursion16 Minutes
- 2.22Recursion in Action5 Minutes
- 2.23How would you implement a Bank ATM?5 Minutes
- 2.24Things you can do with Databases – I20 Minutes
- 2.25Things you can do with Databases – II20 Minutes
- 2.26Interfacing with Databases from Python8 Minutes
- 2.27SQLite works right out of the box6 Minutes
- 2.28Build a database of Stock Movements – I6 Minutes
- 2.29Build a database of Stock Movements – II30 Minutes
- 2.30Build a database of Stock Movements – III15 Minutes
- 2.31Objects are like puppies!13 Minutes
- 2.32A class is a type of variable13 Minutes
- 2.33An Interface drives behaviour3 Minutes
- 2.34Classes_Intro17 Minutes
- 2.35Interfaces13 Minutes
- 2.36Natural Language Processing with NLTK7 Minutes
- 2.37Natural Language Processing with NLTK – See it in action14 Minutes
- 2.38Web Scraping with Beautiful Soup18 Minutes
- 2.39A Serious NLP Application : Text Auto Summarization using Python11 Minutes
- 2.40Autosummarize News Articles – I18 Minutes
- 2.41Autosummarize News Articles – II30 Minutes
- 2.42Autosummarize News Articles – III10 Minutes
- 2.43Machine Learning – Jump on the Bandwagon16 Minutes
- 2.44Plunging In – Machine Learning Approaches to Spam Detection17 Minutes
- 2.45Spam Detection with Machine Learning Continued19 Minutes
- 2.46News Article Classification using K-Nearest Neighbors19 Minutes
- 2.47News Article Classification using Naive Bayes19 Minutes
- 2.48Code Along – Scraping News Websites18 Minutes
- 2.49Code Along – Feature Extraction from News articles15 Minutes
- 2.50Code Along – Classification with K-Nearest Neighbours4 Minutes
- 2.51Code Along – Classification with Naive Bayes8 Minutes
- 2.52Document Distance using TF-IDF11 Minutes
- 2.53News Article Clustering with K-Means and TF-IDF30 Minutes
- 2.54Code Along – Clustering with K-Means30 Minutes
- 2.55Variables are like Containers11 Minutes
An ex-Google, Stanford and Flipkart team
Loonycorn is a team by Janani Ravi and Vitthal Srinivasan, product of Stanford University and IIM Ahmedabad.
We hold several years of working experience in the field of technology in Bay Area, New York, Singapore and Bangalore.
Janani Ravi: 7 Years of work experience (Google, Flipkart and Microsoft)
Vitthal Srinivasan: Worked at Google, Flipkart, Credit Suisse and INSEAD
We have come together to teach and educate on various technological courses in the most easiest and entertaining manner. Also, our courses will be based on practical elaborations & illustrations.
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