===== PyconOtto, Firenze, April 2017 =====

==== Tutorial "Quando il saggio indica il cielo, pandas guarda l'indice", venerdì 7 aprile ====


    * {{ :python:pycon:diapo_tutorial_2017.pdf | Slide della presentazione }}
    * Dataset utilizzati (provenienti dalla suite di test di **pandas**):
        * {{ :python:pycon:tutorial_2017:quotes2.csv | quotes2.csv}}
        * {{ :python:pycon:tutorial_2017:tips.csv | tips.csv}}
    * Notebook utilizzati:
        * 0.1 - numpy ({{ :python:pycon:tutorial_2017:0.1 - numpy.ipynb |ipynb}}, {{ :python:pycon:tutorial_2017:0.1 - numpy.pdf |pdf}})
        * 0.2 - matplotlib ({{ :python:pycon:tutorial_2017:0.2 - matplotlib.ipynb |ipynb}}, {{ :python:pycon:tutorial_2017:0.2 - matplotlib.pdf |pdf}})
        * 1.1 - Series ({{ :python:pycon:tutorial_2017:1.1 - Series.ipynb |ipynb}}, {{ :python:pycon:tutorial_2017:1.1 - Series.pdf |pdf}})
        * 1.2 - Indexing meno banale ({{ :python:pycon:tutorial_2017:1.2 - Indexing meno banale.ipynb |ipynb}}, {{ :python:pycon:tutorial_2017:1.2 - Indexing meno banale.pdf |pdf}})
        * 1.3 - Operazioni tra Series ({{ :python:pycon:tutorial_2017:1.3 - Operazioni tra Series.ipynb |ipynb}}, {{ :python:pycon:tutorial_2017:1.3 - Operazioni tra Series.pdf |pdf}})
        * 2.1 - DataFrame ({{ :python:pycon:tutorial_2017:2.1 - DataFrame.ipynb |ipynb}}, {{ :python:pycon:tutorial_2017:2.1 - DataFrame.pdf |pdf}})
        * 3.1 - MultiIndex ({{ :python:pycon:tutorial_2017:3.1 - MultiIndex.ipynb |ipynb}}, {{ :python:pycon:tutorial_2017:3.1 - MultiIndex.pdf |pdf}})
        * 4.1 - Groupby ({{ :python:pycon:tutorial_2017:4.1 - Groupby.ipynb |ipynb}}, {{ :python:pycon:tutorial_2017:4.1 - Groupby.pdf |pdf}})
        * 5.1 - Series.str ({{ :python:pycon:tutorial_2017:5.1 - Series.str.ipynb |ipynb}}, {{ :python:pycon:tutorial_2017:5.1 - Series.str.pdf |pdf}})
        * 6.1 - Altre ({{ :python:pycon:tutorial_2017:6.1 - Altre.ipynb |ipynb}}, {{ :python:pycon:tutorial_2017:6.1 - Altre.pdf |pdf}})


==== Talk "How to use pandas the wrong way", Saturday, April 8 ====

    * {{ :python:pycon:diapo_wrong_2017.pdf | Slides from the talk }}
    * Dataset used (from the **pandas** tests suite):
        * {{ :python:pycon:wrong_2017:quotes2.csv | quotes2.csv}}
    * Notebooks used:
        * 2.1 - Indexes ({{ :python:pycon:wrong_2017:2.1 - Indexes.ipynb |ipynb}}, {{ :python:pycon:wrong_2017:2.1 - Indexes.pdf |pdf}})
        * 5.1 - dtypes ({{ :python:pycon:wrong_2017:5.1 - dtypes.ipynb |ipynb}}, {{ :python:pycon:wrong_2017:5.1 - dtypes.pdf |pdf}})
        * 5.2 - casting ({{ :python:pycon:wrong_2017:5.2 - casting.ipynb |ipynb}}, {{ :python:pycon:wrong_2017:5.2 - casting.pdf |pdf}})
        * 6.1 - Columns ({{ :python:pycon:wrong_2017:6.1 - Columns.ipynb |ipynb}}, {{ :python:pycon:wrong_2017:6.1 - Columns.pdf |pdf}})
        * 7.1 - Axis ({{ :python:pycon:wrong_2017:7.1 - Axis.ipynb |ipynb}}, {{ :python:pycon:wrong_2017:7.1 - Axis.pdf |pdf}})
        * 8.1 - Groupby ({{ :python:pycon:wrong_2017:8.1 - Groupby.ipynb |ipynb}}, {{ :python:pycon:wrong_2017:8.1 - Groupby.pdf |pdf}})
        * 9.1 - don't be fanatic ({{ :python:pycon:wrong_2017:9.1 - don't be fanatic.ipynb |ipynb}}, {{ :python:pycon:wrong_2017:9.1 - don't be fanatic.pdf |pdf}})
        * 9.7 - hdf ({{ :python:pycon:wrong_2017:9.7 - hdf.ipynb |ipynb}}, {{ :python:pycon:wrong_2017:9.7 - hdf.pdf |pdf}})


===== EuroPython, Rimini, July 2017 =====

==== Talk "How to use pandas the wrong way", Wednesday, July 12 ====

    * {{ :python:pycon:diapo_wrong_ep_2017.pdf | Slides from the talk }}
    * Dataset used (from the **pandas** tests suite):
        * {{ :python:pycon:wrong_ep_2017:quotes2.csv | quotes2.csv}}
    * Notebooks used:
        * 1.1 - Loops ({{ :python:pycon:wrong_ep_2017:1.1 - Loops.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:1.1 - Loops.pdf |pdf}})
        * 2.1 - Indexes ({{ :python:pycon:wrong_ep_2017:2.1 - Indexes.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:2.1 - Indexes.pdf |pdf}})
        * 3.1 - Concatenated assignment ({{ :python:pycon:wrong_ep_2017:3.1 - Concatenated assignment.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:3.1 - Concatenated assignment.pdf |pdf}})
        * 5.1 - dtypes ({{ :python:pycon:wrong_ep_2017:5.1 - dtypes.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:5.1 - dtypes.pdf |pdf}})
        * 5.2 - casting ({{ :python:pycon:wrong_ep_2017:5.2 - casting.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:5.2 - casting.pdf |pdf}})
        * 6.1 - Columns ({{ :python:pycon:wrong_ep_2017:6.1 - Columns.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:6.1 - Columns.pdf |pdf}})
        * 7.1 - Axis ({{ :python:pycon:wrong_ep_2017:7.1 - Axis.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:7.1 - Axis.pdf |pdf}})
        * 8.1 - Groupby ({{ :python:pycon:wrong_ep_2017:8.1 - Groupby.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:8.1 - Groupby.pdf |pdf}})
        * 8.6 - MultiIndex ({{ :python:pycon:wrong_ep_2017:8.6 - MultiIndex.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:8.6 - MultiIndex.pdf |pdf}})
        * 9.1 - don't be fanatic ({{ :python:pycon:wrong_ep_2017:9.1 - don't be fanatic.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:9.1 - don't be fanatic.pdf |pdf}})
        * 9.5 - chunking ({{ :python:pycon:wrong_ep_2017:9.5 - chunking.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:9.5 - chunking.pdf |pdf}})
        * 9.7 - hdf ({{ :python:pycon:wrong_ep_2017:9.7 - hdf.ipynb |ipynb}}, {{ :python:pycon:wrong_ep_2017:9.7 - hdf.pdf |pdf}})

===== Linux Day, Pisa, 28 ottobre 2017 =====

==== Talk "Data Analysis e Machine Learning in Python" ====
    * {{ :python:pycon:diapo_ml_python_ld_2017.pdf | Slide della presentazione }}
    * Dataset utilizzato (proveniente dalla suite di test di **pandas**):
        * {{ :python:pycon:tutorial_2017:tips.csv | tips.csv}}
    * Notebook utilizzato:
        * ''ML con Python - Esempi'' ({{ :python:pycon:ld_2017:ml_con_python_-_esempi.ipynb |ipynb}}, {{ :python:pycon:ld_2017:ml_con_python_-_esempi.pdf |pdf}})

===== Pycon LT, Kaunas, May 5, 2018 =====

==== Talk "Data analysis in Python - come in, don’t get lost" ====
    * {{ :python:pycon:slides_ml_pycon_lt_2018.pdf | Slide from the talk }}
    * Dataset used (from the **pandas** test suite):
        * {{ :python:pycon:tutorial_2017:tips.csv | tips.csv}}
    * Notebook used:
        * ''Data with Python - Examples'' ({{ :python:pycon:lt_2018:data_with_python_-_examples.ipynb |ipynb}}, {{ :python:pycon:lt_2018:data_with_python_-_examples.pdf |pdf}})

===== Pycon X, Firenze, May 2019 =====

==== Talk "You don't need n dimensions when you have pandas" ====
    * {{ :python:pycon:diapo_ndim_2019.pdf | Slides from the talk }}
    * Dataset used (from the **pandas** tests suite):
        * {{ :python:pycon:ndim_2019:quotes.csv | quotes.csv}}
    * Notebook used:
        * ''1.0'' (**pandas** for dummies) ({{ :python:pycon:ndim_2019:1.0.ipynb |ipynb}}, {{ :python:pycon:ndim_2019:1.0.pdf |pdf}})
        * ''1.1'' (basic example) ({{ :python:pycon:ndim_2019:1.0.ipynb |ipynb}}, {{ :python:pycon:ndim_2019:1.0.pdf |pdf}})
        * ''1.2'' (unbalanced data) ({{ :python:pycon:ndim_2019:1.0.ipynb |ipynb}}, {{ :python:pycon:ndim_2019:1.0.pdf |pdf}})


===== Linux Day, Pisa, 26 ottobre 2017 =====

==== Talk "Cosa ci dicono le reti (in Python)" ====
    * {{ :python:pycon:diapo_network_python_ld_2019.pdf | Slide della presentazione }}