Data Analytics and Web Development
Python Fundamentals
By Mina Eskander
Upon completing the Python Programming course, participants will gain proficiency in Python, a versatile and powerful programming language used widely in various fields such as web development, data analysis, artificial intelligence, and more. This course provides comprehensive knowledge and practical skills to write clean and efficient code in Python.
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Mina Eskander
Python Fundamentals Master
My name is Mina, and I am deeply passionate about software development and programming languages.
I have acquired proficiency in numerous programming and database languages, and I thrive in working with computers. I have successfully completed multiple projects using Python and the Django framework.
I am excited to extend my expertise and offer Python instruction to anyone interested in learning.
A 3-month journey with exclusive small classes, 21 students max. 96 total hours, 2 days a week, 4 hours each day.
Session 1
Variables
Initiate your journey by setting up the development environment. Dive deep into variables, data types, and operators, exploring their usage through hands-on exercises. Build a strong foundation by practicing and applying these fundamental concepts.
Learn about variables, data types, and operators.
Session 2
Lists and Dictionaries
Introduce more types of data structures like Lists, Tuples, and Dictionaries. Understand their differences, advantages, and use cases. Solidify comprehension with practical exercises that help you manipulate and organize data efficiently.
Understand lists, tuples, and dictionaries.
Session 3
Conditionals
Delve deeper into Python's structure by mastering conditionals: if, elif (else if), and else statements. Apply these concepts in various practical exercises to enhance your decision-making logic within programs and solve complex problems.
Master conditionals: if, elif, and else.
Session 4
Loops
Explore the power of loops in Python, focusing on for and while loops and their applications. Strengthen your coding skills with hands-on exercises that highlight the importance of loops in repetitive tasks and data processing.
Learn and differentiate between for and while loops.
Session 5
Functions
Embark on building and using functions to create modular and reusable code. Learn to connect multiple functions together to perform specific tasks. Engage in practical exercises to deeply embed your understanding and improve your coding efficiency.
Develop and connect multiple functions.
Session 6
Exceptions
Learn how to handle errors effectively by using exceptions like try and except syntax. Understand how to manage and resolve bugs encountered in your code, ensuring robust and reliable programs through practical error-handling exercises.
Handle errors with try and except.
Session 7
Libraries
Explore Python libraries like requests, date, and sys. Discover how these tools can significantly speed up development. Engage in practical exercises to solidify your understanding and application of these libraries.
Utilize Python libraries for efficient coding.
Session 8
Unit Tests
Learn how to test functions to identify and fix defects. Use the pytest library to run more optimal tests and ensure code quality. Strengthen your testing skills with practical exercises that help you write reliable and maintainable code.
Test functions using pytest.
Session 9
Concept Review - Part 1
Reinforce your understanding through practical exercises designed to solidify your knowledge and skills. Focus on reviewing and applying concepts learned so far to ensure a strong foundation before advancing further.
Review concepts with practical exercises.
Session 10
Concept Review - Part 2
Continue strengthening your understanding with more practical exercises. Revisit key topics to deepen your comprehension and prepare yourself for upcoming advanced concepts and challenges.
Deepen your understanding with more exercises.
Session 11
File Input/Output (I/O)
Learn how to process files by reading data from and writing data to storage devices like hard drives or SSDs. Master file handling techniques through practical exercises that demonstrate real-world applications of file I/O operations.
Handle file I/O for data processing.
Session 12
Regular Expressions
Understand regular expressions (regex or regexp) to define search patterns. Learn to manipulate and validate text strings based on specific patterns or rules. Apply these concepts in various practical exercises to enhance your text processing skills.
Master regular expressions for text processing.
Session 13
Regular Expressions Practice
Solidify your understanding of regular expressions through extensive practice and exercises. Dive deeper into regex by solving more complex text manipulation challenges and refining your pattern matching skills.
Deepen regex skills with more practice.
Session 14
OOP: Introduction to Classes
Introduction to classes and defining properties (attributes) and behaviors (methods) for objects. Understand the fundamentals of object-oriented programming (OOP) and how to apply these concepts to create organized and efficient code.
Learn the basics of classes and OOP.
Session 15
OOP Practice
Work more on classes and solidify comprehension through practical exercises. Enhance your understanding of OOP concepts by building more complex and interactive applications that utilize classes and objects.
Practice and solidify OOP concepts.
Session 16
Concept Review
Solidify your comprehension of regex and classes by working on more projects. Apply what you've learned in practical scenarios to demonstrate your mastery of these essential programming concepts.
Review regex and classes with projects.
Session 17
SQL Basic Commands
Delve into SQL and learn basic commands like SELECT, FROM, and WHERE. Understand how to query databases effectively and retrieve the information you need. Practice these skills through real-world database exercises.
Learn basic SQL commands for querying.
Session 18
SQL Extended Commands and CS50 Library
Expand your SQL knowledge with commands like ORDER BY and INSERT INTO. Use the CS50 library for enhanced functionality and deeper database interactions. Engage in practical exercises to solidify these advanced SQL skills.
Enhance SQL skills with advanced commands.
Session 19
Introduction to Numpy
Learn about the Numpy library for data analysis. Explore arrays, operations on arrays, importing CSV files, and basic statistics. Get introduced to matplotlib for data visualization, creating line charts and bar charts.
Analyze data with Numpy and visualize with matplotlib.
Session 20
Introduction to Django Framework
Discover how to use Django to build backend web pages with functions and templates. Learn the basics of HTML and CSS for web development, and integrate these technologies to create dynamic web applications.
Build web pages with Django, HTML, and CSS.
Session 21
Django: Authentication
Implement user authentication in Django. Learn to create sign-up, sign-in, home page, and sign-out functionalities. Enhance your web applications by providing secure user authentication features through detailed, step-by-step instructions and practical exercises.
Implement user authentication in Django.
Session 22
Django Models
Get introduced to Django database models and understand the relationships between database tables. Learn to manage and manipulate data in Django effectively with hands-on practical exercises that reinforce your skills and knowledge.
Work with Django database models.
Session 23
Django: Change Password & Testing
Learn to implement password change functionality and test models using the Unit test library to ensure reliability. Improve your skills in developing and maintaining robust Django applications through focused exercises.
Implement password change and model testing.
Session 24
Final Project
Apply everything you've learned in a comprehensive final project. Showcase your skills by building a complete application from scratch, demonstrating your mastery of Python, Django, and related technologies.
Build a comprehensive final project.
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