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Python Introduction | JNTUA | R19 | UNIT 1
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.
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Python Introduction | JNTUA | R19 | UNIT 1
- 1. Python Programming Unit âI (Part I) (Lecture 1) Introduction
- 2. Introduction Lecture 1 Lecture2 Why python? Interpretation How to install python? The first program Arithmetic operators Value and types
- 3. Introduction Lecture 1 Why python? Interpretation Howto install python?
- 4.
- 5. Why python? Civil Population forecasting Predictionof floods Predicting traffic trends Construction management Structural Engineering
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- 7. Electrical Why python? Automate Equipment Test Futurepower generation Future power consumption Automated billing system Power on / off system
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- 9. Mechanica l Why python? Automating boring work Predictionof stress on objects Machine design Simulation and modeling Drawing (Turtle Modules)
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- 11. Electronic s Why python? Signal processing Imageprocessing Embedded systems Internet of Things Robotic designs
- 12.
- 13. Compute r Science Why python? Datascience Computer vision Artificial Intelligence Web development Audio & Video Applications
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- 15. Introduction Lecture 1 Why python? Interpretation Howto install python?
- 16. Interpretation Python is highlevel language. High level Language Low level Language Interpreters Compilers
- 17. Python is interpreterlanguage. 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 (âhello worldâ) Print(2) A=2 B=3 Print(A+B) Execute Execute Execute Execute Execute Thismethod is interpretation Interpretation
- 20. Introduction Lecture 1 Why python? Interpretation Howto install python?
- 21. How to installpython?
- 32. Introduction Lecture 1 Why python? Interpretation Howto install python?
- 33. Python Programming Unit âI (Part I) (Lecture 2) Introduction
- 34. Introduction Lecture 1 Lecture2 Why python? Interpretation How to install python? The first program Arithmetic operators Value and types
- 35. Introduction Lecture 2 The firstprogram Arithmetic operators Value and types
- 36. The first program Printingdifferent datatypes. print (2) print (2.5) print (âHello worldâ) print (â Todayâs lectureâ)
- 37. Introduction Lecture 2 The firstprogram Arithmetic operators Value and types
- 38. Arithmetic operators print (2+ 3) ď Addition print (2.5 - 3.5) ď Subtraction print (5*2) ď Multiplication print (5/2) ď Division print (5//2) ď Floor division print (5**2) ď Exponent print (5%2) ď Modulus
- 39. Introduction Lecture 2 The firstprogram Arithmetic operators Value and types
- 40. Value and types type(2) type (2.5) type (âhelloâ)
- 41. Introduction Lecture 2 The firstprogram Arithmetic operators Value and types
- 42.
- 43. Anaconda Navigator Lecture 3 WhyAnaconda? Additional Applications How to install Anaconda?
- 44. Anaconda prompt Jupyter lab Jupyter Notebook Qtconsole Why Anaconda?
- 45. Edit and run documents while describing thedata 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 WhyAnaconda? Additional Applications How to install Anaconda?
- 47. Data mining framework. Data analysis & visualization UsePython 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 WhyAnaconda? Additional Applications How to install Anaconda?
- 49. How to installAnaconda?
- 72. Anaconda Navigator Lecture 3 WhyAnaconda? Additional Applications How to install Anaconda?