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Primary Python Concepts Different From Omnis
Libraries
In Omnis we have the Omnis engine or executable which is self contained. Python has the Python Standard Library consisting of modules or libraries.
"The Python Standard Library contains the exact syntax, semantics, and tokens of Python. It contains built-in modules that provide access to basic system functionality like I/O and some other core modules." -- Python standard library, geeksforgeeks.org
A library in Omnis is the actual application.
A library in Python is a repository of common callable reusable code usually writtn in C. In Windows the library files have a DLL extension (Dynamic Load Libraries). There are many libraries available to Python. Go here to see brief descriptions of the ones below. Some of the most important (popular) ones besides the essential ones contained in the python standard library are:
IPython and Jupyter
Matplotlib
Numpy (Numerical Python)
Pandas (Derived from Panel Data and Python Data Analysis. This must be the tabular data structure equivalent to the Omnis list which is outstanding.)
PIP ("PIP is a package manager for Python packages, or modules if you like. Note: If you have Python version 3.4 or later, PIP is included by default." -- Python PIP - W3Schools
PyGame
PyBrain
PyTorch
Scikit-learn
SciPy
Scrapy
TensorFlow
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IDE: IDLE
IDLE
IDLE Docs
Link Debugging under IDLE
BREAKPOINTS
"To add a breakpoint, right-click on the line that you want to add a breakpoint on and select "Set Breakpoint". The line will become highlighted. (Note that this only works when you are editing a file; it does not work at the interpreter.)" -- Nick ODell
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IDE: PyCharm
PyCharm
| Add an exclusion to Windows Security
Documentation:
PyCharm Doc
Debug
Breakpoints
Start a debugging session
Examine and suspended program
Stepping through
IDEs Support (IntelliJ Platform) | JetBrains
PyCharm Knowledge base
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IDE: Visual Studio Code
Visual Studio Code
| Download
After installing, click the extensions icon in left panel.
Type/Search for "python"
Install Python IntelliSense (Pylance) extension verified checkmark by Microsoft
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Python Lists
Lists
• Python.org Tutorial:
| 3.1.3. Lists
| 4.8.4. Arbitrary Argument Lists
| 4.8.5. Unpacking Argument Lists
| 5.1. More on Lists
| 11.7. Tools for Working with Lists
• Python.org Reference Manual:
| 6.15. Expression lists¶
| 6.2.3. Parenthesized forms
| 6.2.4. Displays for lists, sets and dictionaries
| 6.2.5. List displays
| 6.3.3. Slicings
| Continue LOOKING FOR LIST REFS
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Pandas DataFrames
DataFrames & the Series
Pandas
"Pandas provides high-level data structures and functions designed to make working with structured or tabular data intuitive and flexible. Since its emergence in 2010, it has helped enable Python to be a powerful and productive data analysis environment. The primary objects in pandas that will be used in this book are the DataFrame, a tabular, column-oriented data structure with both row and column labels, and the Series, a one-dimensional labeled array object."
"Pandas blends the array-computing ideas of NumPy with the kinds of data manipulation capabilities found in spreadsheets and relational databases (such as SQL)."
-- McKinney, Wes (2022-08-11T23:58:59.000). Python for Data Analysis 3rd Edition . O'Reilly Media. Kindle Edition.
"After a standalone installation of Python, each library will have to be separately installed. It is a bit of a hassle to ensure version compatibility between newly installed libraries and the associated dependencies. This is where a third-party distribution like Anaconda comes in handy. Anaconda is the most widely used distribution for Python/R, designed for developing scalable data science solutions. It is compatible with Windows, Linux and macOS and requires 3 GB of disk space. It needs this memory to download and install quite a collection of IDEs and more than 720 packages. For instance, NumPy and pandas are two of the packages that come pre-installed with Anaconda."
"... Anaconda provides a simple system to set up and handle separate programming environments where packages can be maintained consistently to remain compatible with an application ... When a package is being installed or updated, Anaconda ensures that the dependencies are compatible and performs an auto-update for the dependencies if needed."
-- Kumar, Ashish (2019-10-24T23:58:59.000). Mastering pandas: A complete guide to pandas, from installation to advanced data analysis techniques, 2nd Edition . Packt Publishing. Kindle Edition.
Anaconda Distribution / Free download
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Tutorials & Courses
Tutorials & Courses
Tutorial: YouTube: Harvard CS50’s Introduction to Programming with Python – Full University
Python Full Course for free / Bro Code
Tutorial: What Is Pandas in Python? Everything You Need to Know - ActiveState
Tutorial: YouTube: Python for Beginners - Learn Python in 1 Hour
Tutorial: Future Programmer Channel
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FILE these Links
File these links
• Book: Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
• Doc: Input/output — pandas 2.1.1 documentation
• Web Search: How to load a multicolumn python list at DuckDuckGo
• Project: YouTube: Python Project | How to track someone location with phone number
• Check Python version on command line and in script
• Check the versions of Python packages and libraries
• Get the OS and its version where Python is running
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