From 0 to 1: Learn Python Programming - Easy as Pie

Why take this course?
🎓 From 0 to 1: Learn Python Programming - Easy as Pie
Course Headline:
A Python course for absolute beginners - this will take you to a fairly serious early intermediate level. 🚀
About This Course:
A Note on the Python versions 2 and 3:
📚 Python 2 and Python 3: The code-alongs in this class are based on Python 2.7, but don't worry if you're new to Python! We've got you covered with source code for both Python 2 and Python 3. Each piece of code is well-commented so you can learn at your own pace.
What's Covered in This Course:
Introductory Python:
- Understanding Python syntax 📝
- Mastering functional language constructs
- Working with lists, dictionaries, functions, and function objects
- Utilizing lambda functions for concise code
- Learning about iterators for efficient loops
- Handling exceptions to create robust programs
- Managing file operations in Python
Database Operations:
- Gaining just the right amount of knowledge for data manipulation through databases
Auto-generating spreadsheets with xlsxwriter:
- Ending the monotony of reporting tasks
- Creating automated reports that combine database operations and spreadsheet auto-generation
Text processing and Natural Language Processing (NLP):
- Harnessing Python’s powerful tools for text processing with libraries like nltk
Website Scraping using Beautiful Soup:
- Developing scrapers for prestigious publications such as the New York Times and Washington Post 📰
Machine Learning:
- Applying machine learning techniques using sk-learn, including KMeans clustering 🧠📈
Course Materials:
- Hundreds of lines of code with hundreds of lines of comments to guide you through each concept.
Practical Drills:
Complete these hands-on tasks to solidify your Python programming skills:
Drill #1:
- Download and process data from the National Stock Exchange of India to identify the most actively traded securities for the day 📊
Drill #2:
- Store stock-exchange time-series data for 3 years in a database and generate an on-demand report for any given stock ticker 🗝️
Drill #3:
- Scrape a news article URL and auto-summarize it into 3 concise sentences, perfect for saving time and understanding the gist quickly 🔍
Drill #4:
- Scrape from newspapers and a blog, then apply several machine learning techniques, including classification and clustering to these texts. This will not only test your scraping skills but also introduce you to the fascinating world of machine learning with Python 🧲✨
Join Loony Corncourse on this exciting journey to become proficient in Python programming! Whether you're starting from scratch or looking to elevate your coding skills, this course is designed to take you there with ease and fun. Enroll now and transform your interest in programming into practical expertise! 🌟
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