From f92274b5448b39f121f5585d05e959037284757a Mon Sep 17 00:00:00 2001 From: Christian Clauss Date: Sat, 14 Mar 2020 06:19:21 +0100 Subject: [PATCH 1/2] directory_writer: actions/checkout@v1 # Use v1, NOT v2 (#1796 --- .github/workflows/directory_writer.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/directory_writer.yml b/.github/workflows/directory_writer.yml index f910ab33e00b..e875aadaf0e3 100644 --- a/.github/workflows/directory_writer.yml +++ b/.github/workflows/directory_writer.yml @@ -6,7 +6,7 @@ jobs: build: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v1 # v1, NOT v2 - uses: actions/setup-python@v1 with: python-version: 3.x From b7f69e039b392f3ae981c567a7b8047d022c84f4 Mon Sep 17 00:00:00 2001 From: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> Date: Sat, 14 Mar 2020 05:19:37 +0000 Subject: [PATCH 2/2] updating DIRECTORY.md --- DIRECTORY.md | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/DIRECTORY.md b/DIRECTORY.md index 48c1dde9ab67..8dd9fa929255 100644 --- a/DIRECTORY.md +++ b/DIRECTORY.md @@ -108,6 +108,7 @@ * [Is Palindrome](https://github.com/TheAlgorithms/Python/blob/master/data_structures/linked_list/is_palindrome.py) * [Print Reverse](https://github.com/TheAlgorithms/Python/blob/master/data_structures/linked_list/print_reverse.py) * [Singly Linked List](https://github.com/TheAlgorithms/Python/blob/master/data_structures/linked_list/singly_linked_list.py) + * [Skip List](https://github.com/TheAlgorithms/Python/blob/master/data_structures/linked_list/skip_list.py) * [Swap Nodes](https://github.com/TheAlgorithms/Python/blob/master/data_structures/linked_list/swap_nodes.py) * Queue * [Circular Queue](https://github.com/TheAlgorithms/Python/blob/master/data_structures/queue/circular_queue.py) @@ -135,6 +136,7 @@ * Edge Detection * [Canny](https://github.com/TheAlgorithms/Python/blob/master/digital_image_processing/edge_detection/canny.py) * Filters + * [Bilateral Filter](https://github.com/TheAlgorithms/Python/blob/master/digital_image_processing/filters/bilateral_filter.py) * [Convolve](https://github.com/TheAlgorithms/Python/blob/master/digital_image_processing/filters/convolve.py) * [Gaussian Filter](https://github.com/TheAlgorithms/Python/blob/master/digital_image_processing/filters/gaussian_filter.py) * [Median Filter](https://github.com/TheAlgorithms/Python/blob/master/digital_image_processing/filters/median_filter.py) @@ -257,13 +259,14 @@ * [Logistic Regression](https://github.com/TheAlgorithms/Python/blob/master/machine_learning/logistic_regression.py) * [Multilayer Perceptron Classifier](https://github.com/TheAlgorithms/Python/blob/master/machine_learning/multilayer_perceptron_classifier.py) * [Polymonial Regression](https://github.com/TheAlgorithms/Python/blob/master/machine_learning/polymonial_regression.py) + * [Random Forest Classifier](https://github.com/TheAlgorithms/Python/blob/master/machine_learning/random_forest_classifier.py) * [Random Forest Regressor](https://github.com/TheAlgorithms/Python/blob/master/machine_learning/random_forest_regressor.py) * [Scoring Functions](https://github.com/TheAlgorithms/Python/blob/master/machine_learning/scoring_functions.py) * [Sequential Minimum Optimization](https://github.com/TheAlgorithms/Python/blob/master/machine_learning/sequential_minimum_optimization.py) * [Support Vector Machines](https://github.com/TheAlgorithms/Python/blob/master/machine_learning/support_vector_machines.py) ## Maths - * [3N+1](https://github.com/TheAlgorithms/Python/blob/master/maths/3n_plus_1.py) + * [3N Plus 1](https://github.com/TheAlgorithms/Python/blob/master/maths/3n_plus_1.py) * [Abs](https://github.com/TheAlgorithms/Python/blob/master/maths/abs.py) * [Abs Max](https://github.com/TheAlgorithms/Python/blob/master/maths/abs_max.py) * [Abs Min](https://github.com/TheAlgorithms/Python/blob/master/maths/abs_min.py) @@ -313,8 +316,8 @@ * [Miller Rabin](https://github.com/TheAlgorithms/Python/blob/master/maths/miller_rabin.py) * [Mobius Function](https://github.com/TheAlgorithms/Python/blob/master/maths/mobius_function.py) * [Modular Exponential](https://github.com/TheAlgorithms/Python/blob/master/maths/modular_exponential.py) + * [Monte Carlo](https://github.com/TheAlgorithms/Python/blob/master/maths/monte_carlo.py) * [Monte Carlo Dice](https://github.com/TheAlgorithms/Python/blob/master/maths/monte_carlo_dice.py) - * [Montecarlo](https://github.com/TheAlgorithms/Python/blob/master/maths/montecarlo.py) * [Newton Raphson](https://github.com/TheAlgorithms/Python/blob/master/maths/newton_raphson.py) * [Numerical Integration](https://github.com/TheAlgorithms/Python/blob/master/maths/numerical_integration.py) * [Perfect Square](https://github.com/TheAlgorithms/Python/blob/master/maths/perfect_square.py) @@ -328,6 +331,7 @@ * [Quadratic Equations Complex Numbers](https://github.com/TheAlgorithms/Python/blob/master/maths/quadratic_equations_complex_numbers.py) * [Radians](https://github.com/TheAlgorithms/Python/blob/master/maths/radians.py) * [Radix2 Fft](https://github.com/TheAlgorithms/Python/blob/master/maths/radix2_fft.py) + * [Relu](https://github.com/TheAlgorithms/Python/blob/master/maths/relu.py) * [Runge Kutta](https://github.com/TheAlgorithms/Python/blob/master/maths/runge_kutta.py) * [Segmented Sieve](https://github.com/TheAlgorithms/Python/blob/master/maths/segmented_sieve.py) * Series @@ -595,6 +599,7 @@ ## Web Programming * [Crawl Google Results](https://github.com/TheAlgorithms/Python/blob/master/web_programming/crawl_google_results.py) * [Current Stock Price](https://github.com/TheAlgorithms/Python/blob/master/web_programming/current_stock_price.py) + * [Emails From Url](https://github.com/TheAlgorithms/Python/blob/master/web_programming/emails_from_url.py) * [Fetch Bbc News](https://github.com/TheAlgorithms/Python/blob/master/web_programming/fetch_bbc_news.py) * [Fetch Github Info](https://github.com/TheAlgorithms/Python/blob/master/web_programming/fetch_github_info.py) * [Get Imdb Top 250 Movies Csv](https://github.com/TheAlgorithms/Python/blob/master/web_programming/get_imdb_top_250_movies_csv.py)