Introduction To Python Source Code
TO install
pip install git+https://github.com/ExecutableBookProject/jupyter-book.git@masterChapter 1: What is Python and why use it?
- Introduction to Python as a high-level, interpreted, general-purpose programming language
- The benefits and features of Python such as readability, simplicity, portability, multiple paradigms, rich libraries and community
- How to install Python and set up the development environment
- How to run Python scripts and use the interactive shell
Chapter 2: Basic syntax and data types
- The structure and rules of Python syntax such as indentation, comments, statements, expressions and operators
- The built-in data types in Python such as numbers, strings, booleans, lists, tuples, dictionaries and sets
- How to create, manipulate and access data using variables, literals, constants and operators
- How to use basic input and output functions such as print() and input()
Chapter 3: Control flow and functions
- How to use conditional statements such as if-elif-else to make decisions based on conditions
- How to use looping statements such as for and while to repeat actions based on conditions or sequences
- How to use break, continue and pass statements to control the flow of loops
- How to define and call functions using def keyword and parameters
- How to use return statement to send values back from functions
Chapter 4: Modules and packages
- What are modules and packages in Python and how they help organize code into reusable units
- How to import modules and packages using import statement or from-import statement
- How to use some of the standard library modules such as math, random, datetime etc.
- How to create your own modules and packages using init.py file
Chapter 5: Object-oriented programming Some additional sentences for chapter five are:
- What are objects in Python and how they represent real-world entities with attributes (data) and methods (behavior)
- What are classes in Python and how they define the blueprint for creating objects
- How to create classes using class keyword and init method
- How to instantiate objects from classes using constructor method
- How to access attributes (using dot notation) or methods (using parentheses) of objects
Chapter 6: Exceptions and errors
- What are exceptions and errors in Python and how they indicate problems or abnormal situations in the program
- How to handle exceptions using try-except-finally blocks
- How to raise exceptions using raise statement or assert statement
- How to use some of the built-in exceptions such as ValueError, IndexError, KeyError etc.
- How to create your own custom exceptions using class inheritance
Chapter 7: File handling and data processing
- How to work with files in Python using open(), close(), read(), write() and other methods
- How to use different modes such as ‘r’, ‘w’, ‘a’, ‘b’ etc. to open files for reading, writing or appending
- How to use context managers using with statement to automatically close files
- How to process data from files using loops, string methods, regular expressions etc.
- How to use some of the built-in modules such as csv, json, xml etc. to read and write data in different formats
Chapter 8: Functional programming
- What is functional programming and how it differs from imperative or object-oriented programming
- The advantages and disadvantages of functional programming such as purity, immutability, higher-order functions etc.
- How to use some of the built-in functions in Python such as map(), filter(), reduce(), lambda etc. to apply functions on iterables
- How to use list comprehensions, set comprehensions and dictionary comprehensions to create new collections from existing ones
- How to use generators and generator expressions to create lazy iterables that can be consumed on demand
Chapter 9: Web development with Python Some additional sentences for chapter nine are:
- An overview of web development concepts such as client-server architecture, HTTP protocol, HTML/CSS/JavaScript etc.
- An introduction to some of the popular web frameworks in Python such as Flask, Django, Pyramid etc. and how they help create dynamic web applications
- A step-by-step tutorial on how to create a simple web application using Flask that can handle requests, responses, templates, forms etc.
- An explanation of how to deploy the web application on a cloud platform such as Heroku or AWS