English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 10.5 Hours | 2.99 GB
Python Programming: From Beginner to Intermediate is an essential training course for anyone who wants to begin learning Python. Using a Python IDE (integrated development environment) called iPython from Anaconda, the expert instructors in this course will lead you step-by-step through topics such as: functional language constructs, automated reports, website scraping, and natural language processing.
What am I going to get from this course?
- 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
Table of Contents
01 – Introduction
02 – Coding is Like Cooking
03 – Anaconda & Pip
04 – Variables are Like Containers
05 – A List is a List
06 – Fun with Lists!
07 – Dictionaries & If-Else
08 – Don’t Jump through Hoops – Use Loops
09 – Doing Stuff with Loops
10 – Everything in Life is a List – Strings as Lists
11 – Modules are Cool for Code-Reuse
12 – Our First Serious Program – Downloading a Webpage
13 – A Few Details – Conditionals
14 – A Few Details – Exception Handling in Python
15 – A File is Like a Barrel
16 – Auto-Generating Spreadsheets with Python
17 – Auto-Generating Spreadsheets – Download & Unzip
18 – Auto-Generating Spreadsheets – Parcing CSV Files
19 – Auto-Generating Spreadsheets with XLSXwriter
20 – Functions are Like Food Processors
21 – Argument Passing in Functions
22 – Writing Your First Function
23 – Recursion
24 – Recursion in Action
25 – How Would You Implement a Bank ATM
26 – Things You Can Do with Databases – I
27 – Things You Can Do with Databases – II
28 – Interfacing with Databases from Python
29 – SQLite Works Right out of the Box
30 – Manually Downloading the ZIP Files Required
31 – Build a Database of Stock Movements – I
32 – Build a Database of Stock Movements – II
33 – Build a Database of Stock Movements – III
34 – Objects are Like Puppies!
35 – A Class is a Type of Variable
36 – An Interface Drives Behavior
37 – Natural Language Processing with NLTK
38 – Natural Language Processing with NLTK – See It in Action
39 – Web Scraping with BeautifulSoup
40 – A Serious NLP Application – Text Auto-Summarization Using Python
41 – Auto-Summarize News Articles – I
42 – Auto-Summarize News Articles – II
43 – Auto-Summarize News Articles – III
44 – Machine Learning – Jump on the Bandwagon
45 – Plunging In – Machine Learning Approaches to Spam Detection
46 – Spam Detection with Machine Learning – Continued
47 – News Article Classification Using K-Nearest Neighbors
48 – News Article Classification Using Naive Bayes
49 – Code Along – Scraping News Websites
50 – Code Along – Feature Extraction from News Articles
51 – Code Along – Classification with K-Nearest Neighbors
52 – Code Along – Classification with Naïve Bayes
53 – Document Distance Using TF-IDF
54 – News Article Clustering with K-Means & TF-IDF
55 – Code Along – Clustering with K-Means
Resolve the captcha to access the links!