====== Links and downloads  ======

This list is compiled from the submissions to the slack channel contributions. 

===== Basics =====

==== Lecture slides ====

  * {{ :resources:pdf:binder2-5.pdf |51308 Week 2-5}}
  * {{ :resources:pdf:51308_week6-8_reduced.pdf|51308_week 6-8 print friendly.pdf}}


==== e-Books ====

  * {{ :resources:pdf:beginners_python_cheat_sheet_pcc_all.pdf |Beginners Python Cheat Sheet}}
  * {{ :resources:pdf:git_clone_and_commits_from_visua_studio_code.pdf |}}
  * {{ :resources:pdf:learning_python_5th_ed_mark_lutz_oreilly_media_2013.pdf |}}
  * {{ :resources:pdf:matplotlib_for_python_developers.pdf |}}
  * {{ :resources:pdf:numpy_python_cheat_sheet.pdf |}}
  * {{ :resources:pdf:programming_python_4th_edition_2010.pdf |}}
  * {{ :resources:pdf:python_pocket_reference_python_in_your_pocket_5th_ed_lutz_2014.pdf |}}
  * {{ :resources:pdf:scipy_numpytext.pdf |}}
  * {{ :resources:pdf:using.sqlite.oreilly.2010.pdf |}}
  * {{ :resources:pdf:numpy-ref-1.11.0.pdf |}}
  * {{ :resources:pdf:javascript_jquery-_the_missing_manual_3rd_edition.pdf |}}
  * {{ :resources:pdf:eloquent_javascript.pdf |}}
  * {{ :resources:pdf:algorithms_in_a_nutshell_heineman_2nd_ed.pdf |}}
  * {{ :resources:interactive_data_visualization_for_the_web_2nd_edition.pdf |}}
  
  * {{ :resources:pdf:s4:Bayesian_Analysis_with_Python_(_PDFDrive.com_).pdf  |Bayesian Analyses with Python}}
  * {{ :resources:pdf:s4:Beginning_C__From_Novice_to_Professional,_Fourth_Edition_(Beginning__from_Novice_to_Professional)_(_PDFDrive.com_).pdf  |Beginning C - From Novice to Professional}}
  * {{ :resources:pdf:s4:Build_a_Career_in_Data_Science_v2.pdf  |Build a career in Data Science}}
  * {{ :resources:pdf:s4:cprogramming_tutorial.pdf  |Learn C Programming}}
  * {{ :resources:pdf:s4:deeplearningwithpython.pdf  |Deep Learning with Python}}
  * {{ :resources:pdf:s4:Eloquent_JavaScript.pdf  |Eloquent JavaScript}}
  * {{ :resources:pdf:s4:Evaluating_Machine_Learning_Models.pdf  |Evaluating Machine Learning Models}}
  * {{ :resources:pdf:s4:Grokking_Deep_Learning.pdf  |Grokking - Deep Learning}}
  * {{ :resources:pdf:s4:Information_Theory,_Inference_and_Learning_Algorithms.pdf  |Information Theory - Inference and Learning Algorithms}}
  * {{ :resources:pdf:s4:Introduction_to_Computer_Data_Representation_(_PDFDrive.com_).pdf  |Introduction to Computer Data Presentation}}
  * {{ :resources:pdf:s4:Introduction_to_Java_Programming,_Comprehensive_Version_(_PDFDrive.com_).pdf  |Introduction to Java Programming, Comprehensive Version}}
  * {{ :resources:pdf:s4:JavaNotesForProfessionals.pdf  |Java Notes for Professionals}}
  * {{ :resources:pdf:s4:Java__An_Introduction_to_Problem_Solving_&_Programming_(_PDFDrive.com_).pdf  |Java - An introduction to problem solving}}
  * {{ :resources:pdf:s4:Learn_C_the_Hard_Way[X7].pdf  |Learn C the hard way}}
  * {{ :resources:pdf:s4:Machine_Learning_for_Everyone.pdf  |Machine Learning for Everyone}}
  * {{ :resources:pdf:s4:machine-learning-projects-python.pdf  |Machine Learning Projects }}
  * {{ :resources:pdf:s4:Programming_Languages_-_Principles_and_Paradigms_thereds1106.pdf  |Programming Languages, Paradigms and Threads}}
  * {{ :resources:pdf:s4:Python_Deep_Learning__Exploring_deep_learning_techniques,_neural_network_architectures_and_GANs_with_PyTorch,_Keras_and_TensorFlow_(_PDFDrive.com_).pdf  |Python Deep Learning, Neural Networks}}
  * Python Scikit Learn and Tensorflow, 2nd Edition
  * {{ :resources:pdf:s4:Statistics_for_Machine_Learning__Techniques_for_exploring_supervised,_unsupervised,_and_reinforcement_learning_models_with_Python_and_R_(_PDFDrive.com_).pdf  |Statistics for Machine Learning}}
  * {{ :resources:pdf:s4:Thoughtful_Machine_Learning_with_Python.pdf  |Thoughtful Machine Learning with Python}}

==== Video Links ====

  * [[https://cosmolearning.org/courses/learn-python-programming-with-socratica/video-lectures/| Learning Python Programming with Socratica]]
  * [[https://www.youtube.com/watch?v=6Pzg-UY1VDg|data Visualisation with Python]]
  * 

==== Lists of lists ====

  * [[https://github.com/Junnplus/awesome-python-books|Directory of Python books]]
  * [[https://github.com/vinta/awesome-python| A curated list of awesome Python frameworks, libraries, software and resources]]
  * [[http://www.oreilly.com/data/free/archive.html|Free Data Ebook Archive - O'Reilly Media]]
  * [[https://www.datacamp.com/community/data-science-cheatsheets|data-science-cheatsheets]]

==== Papers ====

  * {{ :resources:pdf:fisher-1956.pdf | Mathematics of a Lady Tasting Tea By SIR RONALD A. FISHER }}
  * {{ :resources:pdf:s4:Hedonic_Housing_Prices_and_the_Demand_for_Clean_Air1_.pdf  |Boston House Prices paper}}

==== Articles ====

  * [[https://www.1843magazine.com/features/code-to-joy|Is learning to code in middle age a fool’s errand or a committed act of digital citizenship?]]
  * [[https://www.ft.com/content/1dba534a-5857-11e8-bdb7-f6677d2e1ce8| sending it all to cloud does not make economic sense]]

===== Data Science =====

==== Books ====

  * [[https://github.com/jakevdp/PythonDataScienceHandbook|Python Data Science Handbook - ]]
  * {{:resources:pdf:statistics_in_a_nutshell.pdf|STATISTICS IN A NUTSHELL}}
  * {{:resources:pdf:machine_learning_an_algorithmic_perspective_2nd_ed._marsland_2014-10-08_.pdf|MACHINE LEARNING An Algorithmic Perspective }}  
  * {{:resources:pdf:data_structures_and_algorithms_in_java_6th_edition_2014.pdf|Data Structures and Algorithms in Java™}}
  * {{:resources:pdf:algorithms_nutshell_.pdf|Algorithms in a Nutshell}}
  * {{:resources:pdf:algorithms_unlocked.pdf|Algorithms Unlocked}}
  * {{:resources:pdf:data_structures_and_algorithms_in_python_pdfdrive.com_.pdf|Data Structures and Algorithms in Python}}
  * {{:resources:pdf:algorithmics-the_spirit_of_computing_3rd_by_david_harel.pdf|Algorithmics - The Spirit of Computing}}
  * {{:resources:pdf:introduction_to_algorithms_-_3rd_edition.pdf|Introduction To Algorithms}}
  
==== Cources  ====

 * [[https://www.datacamp.com/courses|Data Science Courses: R & Python Analysis Tutorials : DataCamp]]

===== Miscelanious  =====

==== Raspberry Pi ====
  * {{ :resources:pdf:exploring_raspberry_pi_pdfdrive.com_.pdf |}}