Python & Introduction to Data Science

• 01 Python & Introduction to Data Science

• 2.01 Configuration of the development environment

• 2.02 How to install Python libraries

• 2.03 Basic Notebook Controls

• 2.04 Introduction to Python

• 2.05 Operations in Python

• 2.06 Variables and conversions in Python

• 2.07 Strings and functions of modifications

• 2.08 Python’s Lists

• 2.09 Functions with lists

• 2.10 Dictionaries in Python

• 2.11 Functions with dictionaries

• 2.12 Set in Python

• 2.13 Assignment mechanism in Python

• 2.14 Conditional instructions in Python

• 2.15 Python iteration instructions

• 2.16 Creating functions in Python

• 2.17 Scripts and modules in Python

• 2.18 Error handling in Python

• 2.19 Reading and writing files in Python

• 2.20 Classes in Python

• 2.21 Inheritance of classes in Python

• 2.22 Time management functions

• 2.23 Practical exercises with Python (1)

• 2.24 Practical exercises with Python (2)

• 2.25 Practical exercises with Python (3)

• 2.26 Practical exercises with Python (4)

• 2.27 Practical exercises with Python (5)

• 2.28 Practical exercises with Python (6)

• 3.01 Introduction to Numpy

• 3.02 Arrays in Numpy

• 3.03 Indexing of matrices in Numpy

• 3.04 Copy, arange and random in Numpy

• 3.05 Data type and conversion to Numpy

• 3.06 Mathematical Functions in Numpy

• 3.07 Order functions in Numpy

• 3.08 Data management functions in Numpy

• 3.09 Functions to create arrays in Numpy (1)

• 3.10 Functions to create arrays in Numpy (2)

• 3.11 Logical operations in Numpy

• 3.12 Random in Numpy

• 3.13 Reading files in Numpy

• 3.14 Writing files in Numpy

• 3.15 Practical exercises with Numpy (1)

• 3.16 Practical exercises with Numpy (2)

• 3.17 Practical exercises with Numpy (3)

• 3.18 Practical exercises with Numpy (4)

• 3.19 Practical exercises with Numpy (5)

• 3.20 Practical exercises with Numpy (6)

• 3.21 Practical exercises with Numpy (7)

• 4.01 Introduction to Pandas

• 4.02 DataFrame and Series in Pandas

• 4.03 Indexing methods in Pandas

• 4.04 Groupby in Pandas

• 4.05 Mathematical Operations in Pandas

• 4.06 Indexing and editing of a Series data

• 4.07 Indexing, editing and deletion of a DataFrame

• 4.08 Merge in DataFrame

• 4.09 Display options in Pandas

• 4.10 Pivot chart in Pandas

• 4.11 Managing dates in Pandas (1)

• 4.12 Managing dates in Pandas (2)

• 4.13 Processing data in Pandas (1)

• 4.14 Processing of data in Pandas (2)

• 4.15 Methods for editing strings in Pandas

• 4.16 Advanced indexing methods in Pandas

• 4.17 Create graphs in Pandas

• 4.18 Memory management for large data