| Bonus Resources.txt | 409.6 B | ||
| Chapter_1._About_the_technology.mp4 | 14.7 MB | ||
| Chapter_1._How_Copilot_changes_how_we_learn_to_program.mp4 | 5.5 MB | ||
| Chapter_1._Introducing_AI-assisted_programming_with_GitHub_Copilot.mp4 | 16.1 MB | ||
| Chapter_1._Risks_and_challenges_when_using_Copilot.mp4 | 21.6 MB | ||
| Chapter_1._Societal_concerns_about_AI_code_assistants_like_Copilot.mp4 | 10.1 MB | ||
| Chapter_1._Summary.mp4 | 1.9 MB | ||
| Chapter_1._The_skills_we_need.mp4 | 8.5 MB | ||
| Chapter_1._What_else_can_Copilot_do_for_us.mp4 | 10.6 MB | ||
| Chapter_10._Adding_randomness.mp4 | 7 MB | ||
| Chapter_10._Example_1_Bulls_and_Cows.mp4 | 73 MB | ||
| Chapter_10._Example_2_Bogart.mp4 | 53.2 MB | ||
| Chapter_10._Exercises.mp4 | 5.5 MB | ||
| Chapter_10._Making_some_games.mp4 | 10.2 MB | ||
| Chapter_10._Summary.mp4 | 1.2 MB | ||
| Chapter_11._Authorship_identification_using_top-down_design.mp4 | 5.6 MB | ||
| Chapter_11._Breaking_down_the_process_subproblem.mp4 | 52.5 MB | ||
| Chapter_11._Creating_an_authorship_identification_program.mp4 | 21.9 MB | ||
| Chapter_11._Exercises.mp4 | 8.5 MB | ||
| Chapter_11._Going_further.mp4 | 8.3 MB | ||
| Chapter_11._Implementing_our_functions.mp4 | 47.3 MB | ||
| Chapter_11._Summary.mp4 | 3.4 MB | ||
| Chapter_11._Summary_of_our_top-down_design.mp4 | 1.5 MB | ||
| Chapter_12._Exercises.mp4 | 3.5 MB | ||
| Chapter_12._Future_directions.mp4 | 31.7 MB | ||
| Chapter_12._Limitations_and_future_directions.mp4 | 45.7 MB | ||
| Chapter_12._Summary.mp4 | 4.3 MB | ||
| Chapter_2._Addressing_common_Copilot_challenges.mp4 | 3.4 MB | ||
| Chapter_2._Getting_started_with_Copilot.mp4 | 7.6 MB | ||
| Chapter_2._Getting_your_system_set_up_Part_1.mp4 | 3.7 MB | ||
| Chapter_2._Getting_your_system_set_up_Part_2.mp4 | 13.3 MB | ||
| Chapter_2._Our_path_forward.mp4 | 36.4 MB | ||
| Chapter_2._Summary.mp4 | 2.2 MB | ||
| Chapter_2._The_software_we_ll_be_using.mp4 | 8.4 MB | ||
| Chapter_2._Working_with_Python_in_Visual_Studio_Code.mp4 | 12.6 MB | ||
| Chapter_2._Writing_and_running_some_small_programs.mp4 | 4.6 MB | ||
| Chapter_3._Benefits_of_functions.mp4 | 21.3 MB | ||
| Chapter_3._Designing_functions.mp4 | 32.5 MB | ||
| Chapter_3._Examples_of_creating_good_functions_with_Copilot.mp4 | 52.3 MB | ||
| Chapter_3._Exercises.mp4 | 14.8 MB | ||
| Chapter_3._Roles_of_functions.mp4 | 19.4 MB | ||
| Chapter_3._Summary.mp4 | 5.6 MB | ||
| Chapter_3._The_design_cycle_of_functions_with_Copilot.mp4 | 4.8 MB | ||
| Chapter_3._What_s_a_reasonable_task_for_a_function.mp4 | 24.6 MB | ||
| Chapter_4._Asking_Copilot_to_explain_code.mp4 | 16.7 MB | ||
| Chapter_4._Exercises.mp4 | 9.8 MB | ||
| Chapter_4._Reading_Python_code_Part_1.mp4 | 21.5 MB | ||
| Chapter_4._Summary.mp4 | 3.8 MB | ||
| Chapter_4._Top_10_programming_features_you_need_to_know_Part_1.mp4 | 46 MB | ||
| Chapter_5._Exercises.mp4 | 7.1 MB | ||
| Chapter_5._Reading_Python_code_Part_2.mp4 | 80.5 MB | ||
| Chapter_5._Summary.mp4 | 3 MB | ||
| Chapter_6._Another_full_testing_example_Testing_with_files.mp4 | 34.5 MB | ||
| Chapter_6._Closed-box_and_open-box_testing.mp4 | 22.1 MB | ||
| Chapter_6._Exercises.mp4 | 6.6 MB | ||
| Chapter_6._Full_testing_example.mp4 | 28.1 MB | ||
| Chapter_6._How_to_test_your_code.mp4 | 19.5 MB | ||
| Chapter_6._Revisiting_the_cycle_of_designing_functions_with_Copilot.mp4 | 7.3 MB | ||
| Chapter_6._Summary.mp4 | 1.9 MB | ||
| Chapter_6._Testing_and_prompt_engineering.mp4 | 11.7 MB | ||
| Chapter_7._Breaking_down_the_process_subproblem.mp4 | 30.3 MB | ||
| Chapter_7._Exercises.mp4 | 7.5 MB | ||
| Chapter_7._Implementing_our_functions.mp4 | 37.6 MB | ||
| Chapter_7._Problem_decomposition.mp4 | 12.2 MB | ||
| Chapter_7._Small_examples_of_top-down_design.mp4 | 9.3 MB | ||
| Chapter_7._Spelling_suggestions.mp4 | 7.7 MB | ||
| Chapter_7._Spelling_suggestions_using_top-down_design.mp4 | 9.8 MB | ||
| Chapter_7._Summary.mp4 | 2.4 MB | ||
| Chapter_7._Summary_of_our_top-down_design.mp4 | 4.8 MB | ||
| Chapter_8._A_caution_about_debugging.mp4 | 5 MB | ||
| Chapter_8._Applying_our_debugging_skills_to_a_new_problem.mp4 | 17.4 MB | ||
| Chapter_8._Debugging_and_better_understanding_your_code.mp4 | 14.3 MB | ||
| Chapter_8._Exercises.mp4 | 4.3 MB | ||
| Chapter_8._How_to_find_the_bug.mp4 | 47.5 MB | ||
| Chapter_8._How_to_fix_a_bug_(once_found).mp4 | 16.5 MB | ||
| Chapter_8._Modifying_our_workflow_in_light_of_our_new_skills.mp4 | 4.6 MB | ||
| Chapter_8._Summary.mp4 | 2.9 MB | ||
| Chapter_8._Using_the_debugger_to_better_understand_code.mp4 | 2.7 MB | ||
| Chapter_9._Automating_tedious_tasks.mp4 | 11 MB | ||
| Chapter_9._Example_1_Cleaning_up_email_text.mp4 | 36.6 MB | ||
| Chapter_9._Example_2_Adding_cover_pages_to_PDF_files.mp4 | 55.5 MB | ||
| Chapter_9._Example_3_Merging_phone_picture_libraries.mp4 | 46.8 MB | ||
| Chapter_9._Exercises.mp4 | 4.6 MB | ||
| Chapter_9._How_to_use_Copilot_to_write_tools.mp4 | 6.2 MB | ||
| Chapter_9._Summary.mp4 | 1.5 MB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 86 total files | |||
Learn AI-Assisted Python Programming, Second Edition, Video Edition
https://FreeCourseWeb.com
Released 11/2024
By Dr. Leo Porter, Daniel Zingaro
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9h 2m | Size: 1.42 GB
See how an AI assistant can bring your ideas to life immediately!
Once, to be a programmer you had to write every line of code yourself. Now tools like GitHub Copilot can instantly generate working programs based on your description in plain English. An instant bestseller, Learn AI-Assisted Python Programming has taught thousands of aspiring programmers how to write Python the easy way—with the help of AI. It’s perfect for beginners, or anyone who’s struggled with the steep learning curve of traditional programming.
In Learn AI-Assisted Python Programming, Second Edition you’ll learn how to
Write fun and useful Python applications—no programming experience required!
Use the GitHub Copilot AI coding assistant to create Python programs
Write prompts that tell Copilot exactly what to do
Read Python code and understand what it does
Test your programs to make sure they work the way you want them to
Fix code with prompt engineering or human tweaks
Apply Python creatively to help out on the job
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