2023 Python Fundamentals : One Course for Start in IT

Learn Python basics from interactive shell to script, mastering print method, comments, and variables while exploring data types—integers, floats, complex numbers, strings, lists, and dictionaries.

Explore strings in Python, including quotes, indexing (positive and negative), slicing and length; apply methods like upper, lower, replace, and swap case, plus isalpha, isdigit, islower, and isupper checks.

Master string formatting and escape characters, including newline and tab, and learn to join, split lines, count elements, index, and center text while comparing lists, sets, dictionaries, and tuples.

Learn the differences between Python data types—list, tuple, dictionary, and set—with emphasis on order, duplicates, and mutability. Practice indexing, slicing, and removing duplicates by converting lists to sets.

Update elements in a list, append new items, and delete by remove or pop. Sort lists ascending or descending, and apply list comprehension, count, and index to manage elements.

Explore tuples and sets in Python fundamentals, showing tuple immutability, converting tuples to lists and back for modification, and adding elements with set.add, plus union, intersection, symmetric difference, and difference.

Practice dictionaries in Python by accessing values with keys, updating and appending key-value pairs, and deleting items. Create nested dictionaries to model structured data like a family.

Explore Python operators from arithmetic and assignment to comparison, logical, identity, and membership, through practical print examples and modulus concepts to build boolean expressions.

Master boolean expressions that yield true or false and use them in conditional statements, including if, else, and nested if else statements, with and/or logical operators to control flow.

Explore while and for loops in Python, including conditional repetition, incrementing with i plus equal to, and range-based iteration over strings, lists, tuples, and sets.

Learn how to define and call functions with parameters, then organize code into modules by creating module files, importing them, and using functions, variables, and built-in modules like math.

Learn how the Python path environment variable affects importing user defined modules, troubleshoot no module named errors, and set Python path on Windows using system properties and environment variables.

Learn how to define classes and objects in object oriented programming, use class and instance attributes, and apply inheritance with quadrilateral, rectangle, and square.

Master Python file handling by learning create, read, update, and delete operations. Open text or binary files, read and append content, write, and remove files using the os module.

Learn to handle common Python errors using try and except, identify name, indentation, and syntax errors, and use else and finally blocks to control flow and prevent crashes.

Learn to use the DateTime module to get the current date and time, format with strftime, and extract year, month, day, weekday, hour, minute, second, and time zone.

Explore how the shell provides a user interface to OS services, translates commands into kernel actions, and uses scripts with a .ssh extension to automate tasks.

Learn to use the sys, os, and subprocess modules for system programming in Python, compare shell scripting with Python, and manage command line arguments, streams, and processes.

Master web scraping to extract data from websites and convert unstructured HTML into structured data using Python and BeautifulSoup, with steps to select, authenticate, and generate requests for data science.

Learn Django, a fast, secure, high-level Python framework for web development. Build backend and frontend apps with templates, models, views, forms, URL mapping, and admin interface.

Use logging to monitor program flow, diagnose errors, and capture state details before failures, while applying the five levels: debug, info, warning, error, critical and basic configuration for a logger.

Master unit testing by validating small, testable code units, reporting failures, and comparing manual versus automated testing for faster, more reliable results.

Learn how to write unit tests in Python using the unittest module, including test case classes, setup and teardown methods, and self-contained test methods that start with test.

Learn Python assertions with the built-in assert function for internal self checks, boolean expressions, distinguish assertion errors from exceptions, and review unittest assert methods.

Explore Python networking by building client-server applications with the Python socket module, leveraging libraries for web development, machine learning, and data analysis to enable networked devices to exchange information.

Learn the fundamentals of circuit and socket programming, including how internet connections enable bidirectional client–server communication with sockets and an overview of related protocols and BSD socket history.

Explore data models in distributed systems where servers partition workloads and handle client requests; secure client resources rely on server consent, with examples like web games, chats, and network printing.

Develop debugging skills in Python by using built-in logging and IDE debugging tools to track errors and exceptions with log files, and understand the six logging levels.