Welcome to my AP CSP journey.

Tri 1

I focused on the provided Python hacks, learning how to run Python cells in Jupyter notebooks.

Tri 2

Then, I slowly focused my attention onto College Board Big Ideas.

Concept	Description
Program Development	Programs are created for creative expression, problem-solving, and exploration.
Iterative Design	Programs evolve through a design process that includes testing, refining, and revising.
Collaboration	Collaboration fosters diverse thinking and leads to better outcomes.
Program Documentation	Clear documentation makes programs easier to understand and maintain.
Identifying and Correcting Errors	Debugging is essential in creating effective programs.

Concept	Description
Data Generation	Data can be generated by people and computers through different methods.
Data Representation	Data is stored and represented using binary and abstraction.
Data Storage	The way data is stored can affect its use and performance.
Data Analysis	Analyzing large data sets can reveal trends and patterns.
Visualization	Data visualizations help communicate findings effectively.
Privacy and Security	Protecting data is important to maintain privacy and avoid misuse.
Legal and Ethical Concerns	Data collection and use involve legal and ethical considerations.

Concept	Description
Algorithms	A step-by-step process for solving a problem or performing a task.
Algorithmic Efficiency	Some algorithms are more efficient than others in terms of speed or resource use.
Sequencing and Selection	Programs rely on control structures like conditionals (if-else).
Iteration	Repeating code using loops simplifies solutions.
Abstraction in Programming	Abstraction hides complexity and allows for code reuse.
Developing and Implementing Code	Programs are created through writing, testing, and refining code.
Events and Inputs	Programs respond to events such as user input or sensor data.
Code Reuse	Using functions or libraries helps simplify and shorten programs.
Testing and Correctness	Testing helps ensure code behaves as expected.

Concept	Description
Computing Devices	Devices input, process, and output information.
Hardware and Software	Computers are made up of both hardware and software systems.
Internet and Routing	The internet is a network of networks that uses protocols to communicate.
IP Addresses and DNS	IP addresses identify devices; DNS translates names to IPs.
Packets and Protocols	Data is broken into packets, sent, and reassembled using standardized protocols.
Fault Tolerance	Systems are designed to continue working even when parts fail.
Parallel and Distributed Computing	Computations can be sped up through parallel or distributed systems.
Cybersecurity Threats	Security threats include viruses, phishing, and unauthorized access.
Encryption	Used to protect data in transit and storage.

Concept	Description
Computing Innovations	Innovations can have economic, social, and cultural impacts.
Access and Digital Divide	Access to computing varies among different groups and regions.
Legal and Ethical Implications	Innovations must consider laws and ethics (e.g., copyright, bias).
Social Media and Public Opinion	Social media affects communication, behavior, and information spread.
Bias in Computing	Algorithms can reflect and amplify biases in the data or creators.
Intellectual Property	Respecting ownership and proper citation of digital works is important.
Open Source vs. Proprietary	Different software models affect availability and usage.
Crowdsourcing	Large-scale collaboration can solve problems and collect data.
Environmental Impact	Computing has both positive and negative environmental effects.

Finally, I’ve been working on my technical growth, using Roadmaps entailing lessons of Frontend, Backend, Python, JS, etc.

Fianlly, I’ve also been improving using the MCQs I’ve been taking.