Python Introduction | JNTUA | R19 | UNIT 1
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This document discusses an introduction to Python programming. It covers why Python is useful, how it is interpreted instead of compiled, and how to install Python. Specific fields where Python is applicable like civil engineering, electrical systems, mechanics, electronics and computer science are outlined. The first Python program, basic arithmetic operators, and variable types are explained. Finally, it introduces the Anaconda distribution of Python, why it is useful, additional applications it includes and how to install Anaconda.
Python Introduction | JNTUA | R19 | UNIT 1
- 1. Python Programming Unit – I (Part I) (Lecture 1) Introduction
- 2. Introduction Lecture 1 Lecture 2 Why python? Interpretation How to install python? The first program Arithmetic operators Value and types
- 3. Introduction Lecture 1 Why python? Interpretation How to install python?
- 5. Why python? Civil Population forecasting Prediction of floods Predicting traffic trends Construction management Structural Engineering
- 7. Electrical Why python? Automate Equipment Test Future power generation Future power consumption Automated billing system Power on / off system
- 9. Mechanica l Why python? Automating boring work Prediction of stress on objects Machine design Simulation and modeling Drawing (Turtle Modules)
- 11. Electronic s Why python? Signal processing Image processing Embedded systems Internet of Things Robotic designs
- 13. Compute r Science Why python? Data science Computer vision Artificial Intelligence Web development Audio & Video Applications
- 15. Introduction Lecture 1 Why python? Interpretation How to install python?
- 16. Interpretation Python is high level language. High level Language Low level Language Interpreters Compilers
- 17. Python is interpreter language. Program that can analyze & executes program line by line Interpretation
- 18. Main( ) { int a= 2; int b= 3; int c; c = a + b; } This method is compilation Object code Execute Interpretation
- 19. Print (“hello world”) Print(2) A=2 B=3 Print(A+B) Execute Execute Execute Execute Execute This method is interpretation Interpretation
- 20. Introduction Lecture 1 Why python? Interpretation How to install python?
- 21. How to install python?
- 32. Introduction Lecture 1 Why python? Interpretation How to install python?
- 33. Python Programming Unit – I (Part I) (Lecture 2) Introduction
- 34. Introduction Lecture 1 Lecture 2 Why python? Interpretation How to install python? The first program Arithmetic operators Value and types
- 35. Introduction Lecture 2 The first program Arithmetic operators Value and types
- 36. The first program Printing different datatypes. print (2) print (2.5) print (‘Hello world’) print (“ Today’s lecture”)
- 37. Introduction Lecture 2 The first program Arithmetic operators Value and types
- 38. Arithmetic operators print (2 + 3) Addition print (2.5 - 3.5) Subtraction print (5*2) Multiplication print (5/2) Division print (5//2) Floor division print (5**2) Exponent print (5%2) Modulus
- 39. Introduction Lecture 2 The first program Arithmetic operators Value and types
- 40. Value and types type (2) type (2.5) type (“hello”)
- 41. Introduction Lecture 2 The first program Arithmetic operators Value and types
- 42. Python Programming (Lecture 3) Anaconda Navigator
- 43. Anaconda Navigator Lecture 3 Why Anaconda? Additional Applications How to install Anaconda?
- 44. Anaconda prompt Jupyter lab Jupyter Notebook Qt console Why Anaconda?
- 45. Edit and run documents while describing the data analysis Provides multi-line editing with syntax highlighting, graphical tips, and much more Unique combination editing, analysis, debugging, and reporting functionality Environment for interactive and reproducible computing Enables the Python environment by default. Anaconda prompt Jupyter lab Jupyter Notebook Qt console Spyder Why Anaconda?
- 46. Anaconda Navigator Lecture 3 Why Anaconda? Additional Applications How to install Anaconda?
- 47. Data mining framework. Data analysis & visualization Use Python more efficiently in big data and data science projects. Multi dimensional data visualization across files RStudio is an (IDE) for R Programming for statistical computing and graphics. R studio Glueviz Orange PyCharm Additional
- 48. Anaconda Navigator Lecture 3 Why Anaconda? Additional Applications How to install Anaconda?
- 49. How to install Anaconda?
- 72. Anaconda Navigator Lecture 3 Why Anaconda? Additional Applications How to install Anaconda?