Programming with Python 3

Contents:

• Session 01
  • Introduction
    • Installation of PyCharm IDE for Python
  • Git, GitLab and PyCharm
    • Installation
    • Registration
    • Create a new repository in GitLab
    • Pushing and pulling the contents
  • Word Counter in Python
    • Read and print file
    • Count words and lines
    • Count lines fixed
    • Bringing it all together
    • Commit & Push
• Session 02
  • Pandas - python data analysis tool
    • Brief introduction about Pandas
    • Pandas and Matplotlib installation
    • First example: IMU data
    • Second example: Wage hours
    • Merging in Pandas
    • Data Analysis with Pandas
• Session 03
  • Numpy - python array computing tool
    • Brief introduction about numpy and installation
    • Basic steps
    • List comprehensions
    • Difference between list comprehensions and numpy
    • Plotting sin and cos waves
    • Plotting salary vs names
• Session 04
  • Jupyter
  • (optional) Installation of Jupyter Notebook
    • Installing on Windows
    • Installing on macOS
  • Jupyter Notebook: Introduction
  • DSP - digital signal processing
    • First tutorial
    • Second tutorial
    • Third tutorial
    • Fourth tutorial
• Session 05
  • Exercise 2 DSP
  • Exercises
• Session 06
  • SQL Database and Python
  • Introduction to SQLite
  • Production of databases
  • Production of multiple databases
  • Query of data
• Session 07
  • Machine Learning mit Python
  • The definition of the problem
  • Representation of the data class assignment
  • Exercises
• Session 08
  • Network and Communication
  • Definition of the problem
  • Exercises
• Session 09
  • IoT with Python and MicroPython

Indices and tables

• Index
• Module Index
• Search Page