Upon completion of this class, the student will be able to write non trivial Python programs dealing with a wide variety of subject matter domains. Topics include language components, working with a professional IDE, control flow constructs, strings, I/O, collections, classes, modules, and RESTful service. The course is supplemented with many hands-on labs, solutions, and code examples.
Hello, World!
Variables and Types
Lists
Basic Operators
String Formatting
Basic String Operations
Conditions
Loops
Functions
About o-o programming
Defining classes
Constructors
Instance methods
Instance data
Class methods and data
Dictionaries
Modules and Packages
Introduction
DBM Operations
Using mysql
Using Mysql Workbench
Executing Queries
Table Descriptions
Writing Database Scripts
Working with JSON from Python
HTTP and REST building blocks
Working with the Flask API
Working with Resourceful Routing
Configuring Resource Routing and Endpoints
Selenium Automation testing with Python
facebook_login_page_test.py
There are many data analysis tools available to the python analyst and it can be challenging to know which ones to use in a particular situation. A useful (but somewhat overlooked) technique is called association
analysis which attempts to find common patterns of items in large data sets.
Professional algorithmic trading solution to support automated Bitcoin/Digital currency trading
fetch_bitcoin_price.py
https://www.python.org/downloads/release/python-362
If you are in ECV, you could use the following address
http://192.168.88.187:8080/pycharm.exe
http://192.168.88.187:8080/pycharm.dmg
To install Homebrew, open Terminal or your favorite OSX terminal emulator and run
$ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
The script will explain what changes it will make and prompt you before the installation begins. Once you’ve installed Homebrew, insert the Homebrew directory at the top of your PATH environment variable. You can do this by adding the following line at the bottom of your ~/.profile file
export PATH=/usr/local/bin:/usr/local/sbin:$PATH
Now, we can install Python 3:
$ brew install python3