Python workshop

Nov 27, 20182 likes94 views

This document provides an overview of a Python programming crash course workshop. It discusses what Python is, its history and goals, available versions, why it is popular, and key features like its standard library, modules, and popular third-party libraries like NumPy, Pandas, and scikit-learn that extend its functionality for scientific computing, data analysis, and machine learning. The workshop also covers Python basics and more advanced topics.

Python ProgrammingPython Programming
Crash Course WorkshopCrash Course Workshop
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26-Nov-2018

Scripting Language
●
What is Scripting Language?
●
Interpreted Programs vs Compiled Programs
●
#!

What is Python?
●
Created in 1990 by Guido van Rossum
●
Rossum was BDFL until 2018
●
Origin name from British comedy group Monty Python
●
An important goal of Python's developers is keeping it fun to use
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Interpreted high-level programming language
●
General-purpose language
●
Paradigm
– Object-oriented
– Imperative
– Functional
– Procedural
– Reflective

Why Python?
●
Designed to be easy to learn and master
●
Readable and Maintainable Code
●
Multiple Programming Paradigms
●
Robust Standard Library
●
Extensive Support Libraries
●
Compatible with Major Platforms and Systems
●
Many Open Source Frameworks and Tools
●
General Purpose Programming Language
●
Adopt Test Driven Development
●
Lots of 3rd Party Tools
●
Active Open-Source Community

Productivity
●
Reduced Development Time
– Code is 2-10x shorter than C, C++, Java
●
Improved Program Maintenance
– High Readability
●
Less Training
– Easy to Learn

More Details (Module)
●
logically organize your Python code
●
Grouping related code → easy, high readability
●
Simply, a module is a file consisting of Python code
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A module can define functions, classes and variables.
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A module can also include runnable code.

The Python Standard Library
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Python comes standard with a set of modules, known as the “standard
library”
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Incredibly rich and diverse functionality available from the standard library
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All common internet protocols, sockets, CGI, OS services, GUI services
(via Tcl/Tk), database, Berkeley style databases, calendar, Python parser,
file globbing/searching, debugger, profiler, threading and synchronisation,
persistency, etc
https://docs.python.org/3/library/

3rd
Party Libraries
http://www.numpy.org/
https://www.scipy.org/
https://matplotlib.org/
https://pandas.pydata.org/
https://scikit-learn.org/
https://pypi.org/project/opencv-python/

Numpy
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Numerical Python
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Why NumPy?
●
Designed for scientific computing
●
Open-Source
●
ndarray is the core object
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Advanced functions to work with arrays
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Universal Functions (ufunc)
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Basic Linear Algebra
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Basic Statistical Operations
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Random Simulation
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discrete Fourier transforms
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mathematical, logical, shape manipulation
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Numeric + Numarray ~ NumPy

Pandas
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data manipulation and analysis
●
data structures and operations for manipulating
numerical tables and time series
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The name is derived from the term "panel data"
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DataFrame is the Core Object
●
Suitable for Data Wrangling
●
Open-Source

scikit-learn
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free software machine learning library for the Python
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Used in data mining and data analysis
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Built on NumPy, SciPy, and matplotlib
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Open-Source
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classification, regression and clustering algorithms
– support vector machines
– random forests
– gradient boosting
– k-means
– DBSCAN

scikit-learn (Data Modeling & Prediction)

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It was created by Guido van Rossum and named after Monty Python. Python's goals include being easy to learn, read, and use for both simple and complex tasks. It is easy to understand, learn, obtain, teach, and use compared to other languages. While it is suitable for most tasks, it may not be the best choice for low-level programming or mobile applications. The main Python versions are Python 2 and Python 3, which are not compatible. Popular Python implementations include CPython, written in C; Cython to translate to C; Jython for the Java platform; and PyPy which uses a Python-like

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Webinar topic: Introduction to Python Presenter: Achmad Mardiansyah In this webinar series, We are discussing Introduction to Python Please share your feedback or webinar ideas here: http://bit.ly/glcfeedback Check our schedule for future events: https://www.glcnetworks.com/schedule/ Follow our social media for updates: Facebook, Instagram, YouTube Channel, and telegram The recording is available on Youtube https://youtu.be/e9yCcsqpN90

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Advantages of Python Learning | Why PythonEvoletTechnologiesCo

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Python was developed by Guido van Rossum in the late eighties and early nineties at the National Research Institute for Mathematics and Computer Science in the Netherlands. Python is derived from many other languages, including ABC, Modula-3, C, C++, Algol-68, SmallTalk, and Unix shell and other scripting languages. Python is copyrighted. Like Perl, Python source code is now available under the GNU General Public License (GPL). Python is now maintained by a core development team at the institute, although Guido van Rossum still holds a vital role in directing its progress. Learn Python from Industry Experts. Join Itedge Institute Contact :-9821295364 Website:- http://www.itedge.in/python-certification.aspx

Introduction to PythonEmertxe Information Technologies Pvt Ltd

Python is a versatile programming language used almost in all application development. OO Features coupled with excellent library support makes Python a preferred language for Web Development, IoT Application Development, Data Science and Machine Learning. In this module, we will focus on getting hands-on development and debugging experience of Python, starting with basics. Further will get a deeper understanding of advanced aspects like OO programming, File handling, Package creation, Exception handling. Eventually, you will be able to develop a multitasking application in IoT Gateways.

python training | python course | python online trainingNancy Thomas

website : http://www.todaycourses.com Python Online Training Concepts : Part I - Getting Started History A Python Q&A Session How Python Runs Programs How You Run Programs Part II - Types and Operations Introducing Python Object Types Numeric Types The Dynamic Typing Interlude Strings Lists and Dictionaries Tuples, Files and Everything Else Part III - Statements and Syntax Introducing Python Statements Assignments, Expressions, and Prints if Tests and Syntax Rules while and for Loops Iterations and Comprehensions – I The Documentation Interlude Part IV - Functions Function Basics Scopes Arguments Advance Function Topics Iterations and Comprehensions – II Part V - Modules Modules : The Big Picture Module Coding Basics Module Package Advance Module Topics Part VI - Classes and OOP OOP : The Big Picture Class Coding Basics A More Realistic Example Class Coding Details Operator Overloading Designing with Classes Advanced Class Topics Part VII - Exceptions and Tools Exception Basics Exception Coding Detail Exception Objects Designing With Exceptions python training, python training videos, pydev eclipse tutorial, python class, how to install pydev, how to capture a python, object-oriented programming , capture a python, python training videos, python training for beginners, python training in bangalore marathahalli, python training in bangalore btm, python training in noida, python training in pune, python training in chennai, python training in hyderabad, python training institutes in bangalore, python training in bangalore

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Python workshop

1. Python ProgrammingPython Programming Crash Course WorkshopCrash Course Workshop behzadimbehzadim mariebehzadimariebehzadi mariebehzadimariebehzadi 26-Nov-2018

2. Scripting Language ● What is Scripting Language? ● Interpreted Programs vs Compiled Programs ● #!

3. What is Python? ● Created in 1990 by Guido van Rossum ● Rossum was BDFL until 2018 ● Origin name from British comedy group Monty Python ● An important goal of Python's developers is keeping it fun to use ● Interpreted high-level programming language ● General-purpose language ● Paradigm – Object-oriented – Imperative – Functional – Procedural – Reflective

4. Zen of Python

5. Available Versions

6. Python 2.7 2016 → 71.9% 2017 → 63.7%

7. Why Python? ● Designed to be easy to learn and master ● Readable and Maintainable Code ● Multiple Programming Paradigms ● Robust Standard Library ● Extensive Support Libraries ● Compatible with Major Platforms and Systems ● Many Open Source Frameworks and Tools ● General Purpose Programming Language ● Adopt Test Driven Development ● Lots of 3rd Party Tools ● Active Open-Source Community

8. Popularity

9. Popularity

10. Productivity ● Reduced Development Time – Code is 2-10x shorter than C, C++, Java ● Improved Program Maintenance – High Readability ● Less Training – Easy to Learn

12. Python Basics (Comments)

13. Python Basics (Math Operations)

14. Python Basics (Variable and Types)

15. Python Basics (Blocks)

16. Python Basics (Conditions)

17. Python Basics (Loops)

18. Python Basics (Data Structures)

19. Python Basics (Data Structures)

20. Python Basics (Data Structures)

21. More Details (Functions)

22. More Details (Class)

23. More Details (Exception Handling)

24. More Details (Module) ● logically organize your Python code ● Grouping related code → easy, high readability ● Simply, a module is a file consisting of Python code ● A module can define functions, classes and variables. ● A module can also include runnable code.

25. The Python Standard Library ● Python comes standard with a set of modules, known as the “standard library” ● Incredibly rich and diverse functionality available from the standard library ● All common internet protocols, sockets, CGI, OS services, GUI services (via Tcl/Tk), database, Berkeley style databases, calendar, Python parser, file globbing/searching, debugger, profiler, threading and synchronisation, persistency, etc https://docs.python.org/3/library/

26. 3rd Party Libraries http://www.numpy.org/ https://www.scipy.org/ https://matplotlib.org/ https://pandas.pydata.org/ https://scikit-learn.org/ https://pypi.org/project/opencv-python/

27. Numpy ● Numerical Python ● Why NumPy? ● Designed for scientific computing ● Open-Source ● ndarray is the core object ● Advanced functions to work with arrays ● Universal Functions (ufunc) ● Basic Linear Algebra ● Basic Statistical Operations ● Random Simulation ● discrete Fourier transforms ● mathematical, logical, shape manipulation ● Numeric + Numarray ~ NumPy

28. Numpy / Linear Algebra

29. Pandas ● data manipulation and analysis ● data structures and operations for manipulating numerical tables and time series ● The name is derived from the term "panel data" ● DataFrame is the Core Object ● Suitable for Data Wrangling ● Open-Source

30. Pandas (Data Wrangling)

31. scikit-learn ● free software machine learning library for the Python ● Used in data mining and data analysis ● Built on NumPy, SciPy, and matplotlib ● Open-Source ● classification, regression and clustering algorithms – support vector machines – random forests – gradient boosting – k-means – DBSCAN

32. scikit-learn (Data Modeling & Prediction)

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