✨PYTHON FULL CRASH COURSE✨
SAT Score Range
•
8 sessions
•
MJ
JS
NJ
+10
This series ended on August 7, 2023. All 1:1 and group chats related to this series are disabled 7 days after the last session.
About
Embark on a transformative journey into the world of Python with our comprehensive Full Crash Course. Designed to equip beginners and intermediate learners alike, this course is your gateway to mastering one of the most popular and versatile programming languages used in today's technology-driven world.
Whether you're a complete novice or already have some coding experience, our Python Full Crash Course is meticulously structured to cater to learners of all levels. With a hands-on approach and practical examples, you'll gain a solid foundation in Python programming and discover its vast potential for application development, data analysis, automation, and more.
Throughout the course, you'll be guided by expert instructors who possess a deep understanding of Python and its real-world applications. They'll take you through the core concepts, syntax, and best practices, ensuring you grasp the fundamental building blocks of Python programming.
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Schedule
✋ ATTENDANCE POLICY
Please try to make all of the sessions
SESSION 1
17
Jul
SESSION 1
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Mon 8:00 PM - 9:00 PM UTCJul 17, 8:00 PM - 9:00 PM UTC
Day 1: Introduction to Python
1. Introduction to Python and its history
2. Installing Python and setting up the development environment
3. Running your first Python program
4. Understanding syntax
5. Variables, data types, and more
6. Kahoot!
SESSION 2
20
Jul
SESSION 2
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Thu 7:00 PM - 8:00 PM UTCJul 20, 7:00 PM - 8:00 PM UTC
Day 2: Python Basics
1. Operators: Addition, subtraction, multiplication, and division
2. Lists, tuples, and dictionaries
3. Functions and their importance
4. Scope and global variables
5. File input and output
SESSION 3
23
Jul
SESSION 3
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Sun 7:00 PM - 8:00 PM UTCJul 23, 7:00 PM - 8:00 PM UTC
Day 3: Object-Oriented Programming (OOP)
1. Introduction to OOP concepts
2. Classes and objects
3. Inheritance and polymorphism
4. Encapsulation and information hiding
5. Advanced OOP concepts (interfaces, abstract classes)
SESSION 4
26
Jul
SESSION 4
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Wed 7:00 PM - 8:00 PM UTCJul 26, 7:00 PM - 8:00 PM UTC
Day 4: File Handling and Modules
1. Reading from and writing to files
2. Working with CSV and JSON files
3. Introduction to modules and their benefits
4. Creating and importing modules
5. Exploring third-party libraries
SESSION 5
29
Jul
SESSION 5
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Sat 7:00 PM - 8:00 PM UTCJul 29, 7:00 PM - 8:00 PM UTC
Day 5: Error Handling and Exceptions
1. Understanding common errors and exceptions
2. Using try-except blocks
3. Raising and handling custom exceptions
4. Debugging techniques and tools
5. Best practices for error handling
SESSION 6
1
Aug
SESSION 6
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Tue 7:00 PM - 8:00 PM UTCAug 1, 7:00 PM - 8:00 PM UTC
Day 6: Web Development with Flask
1. Introduction to Flask and web frameworks
2. Setting up a Flask application
3. Routing and handling requests
4. HTML templates and rendering dynamic content
5. Interacting with databases (SQLite, SQLAlchemy)
SESSION 7
4
Aug
SESSION 7
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Fri 7:00 PM - 8:00 PM UTCAug 4, 7:00 PM - 8:00 PM UTC
Day 7: Data Analysis and Visualization
1. Introduction to data analysis with Python
2. Working with NumPy arrays
3. Data manipulation with Pandas
4. Visualizing data using Matplotlib
5. Exploratory data analysis techniques
SESSION 8
7
Aug
SESSION 8
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Mon 5:00 PM - 6:00 PM UTCAug 7, 5:00 PM - 6:00 PM UTC
Day 8: Project-Based Learning
1. Working on a guided project that incorporates concepts from the previous days
2. Applying Python programming skills to solve a real-world problem
3. Leveraging appropriate libraries and techniques
4. Testing and refining the project
5. Presenting and discussing the project outcomes