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Pyuvm Series Part 1 : Python Fundamentals

Category: Courses / Others
Author: AD-TEAM
Date added: 19.09.2024 :18:31
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Description material

Pyuvm Series Part 1 : Python Fundamentals
Pyuvm Series Part 1 : Python Fundamentals
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 749.74 MB | Duration: 3h 50m


Step by Step Guide from Scratch

What you'll learn

Fundamentals of Python

Basics of Datatypes and opeartors

Fundamentals fo Loops

Fundamentals of List, Tuple and Dictionary

Using extension in python

Requirements

Fundamentals of C, Digital Electronics

Description

In today's rapidly evolving landscape of Very Large Scale Integration (VLSI) engineering, proficiency in Python programming has become indispensable. This comprehensive course is meticulously crafted to empower VLSI engineers with the foundational skills necessary to navigate the complexities of modern VLSI design and verification processes. Python, renowned for its versatility and power, stands at the forefront of programming languages, offering a robust toolkit that aligns seamlessly with the unique demands of VLSI engineering.The course is strategically designed to address the specific needs and challenges inherent in the VLSI domain. Participants will embark on a journey that not only introduces them to the fundamental principles of Python programming but also delves deeply into its tailored applications within VLSI design and verification. As technology continues to advance, Python has emerged as a linchpin in the VLSI engineer's toolkit, providing a flexible and efficient platform for addressing the intricate demands of Very Large Scale Integration.Python's ascendancy in VLSI engineering is underscored by its ability to enhance productivity, automate routine tasks, and seamlessly integrate with existing hardware description languages (HDLs) and simulation tools. As the VLSI landscape continues to demand innovation and efficiency, this course serves as a crucial bridge, empowering engineers to harness the full potential of Python in their daily workflows.

Overview

Section 1: Print and Logging

Lecture 1 How to get IDE

Lecture 2 How to use IDE

Lecture 3 Understanding Print P1

Lecture 4 Understanding Print P2

Lecture 5 Code

Lecture 6 Logging P1

Lecture 7 Code

Lecture 8 Logging P2

Lecture 9 Logging P3

Lecture 10 Code

Section 2: Variables

Lecture 11 Variables P1

Lecture 12 Variables P2

Lecture 13 Variables P3

Lecture 14 Variables P4

Lecture 15 Variables P5

Lecture 16 Code

Lecture 17 Used Cases

Section 3: Operators

Lecture 18 Arithmetic Operators

Lecture 19 Code

Lecture 20 Logical Operator P1

Lecture 21 Adding values in different radix

Lecture 22 Understanding F-string

Lecture 23 Code

Lecture 24 Logical Operator P2

Lecture 25 Code

Lecture 26 Understanding Sign Magnitude representation P1

Lecture 27 Understanding Sign Magnitude representation P2

Lecture 28 Understanding Shift Operator

Lecture 29 Assignment + Comparison Operator

Lecture 30 Code

Section 4: Loops

Lecture 31 IF ELSE P1

Lecture 32 IF ELSE P2

Lecture 33 Code

Lecture 34 for loop

Lecture 35 break and continue

Lecture 36 Code

Lecture 37 while loop

Lecture 38 Code

Lecture 39 Used Cases P1

Lecture 40 Used Cases P2

Section 5: Collection of Data

Lecture 41 Lists P1

Lecture 42 Lists P2

Lecture 43 Lists P3

Lecture 44 Code

Lecture 45 Lists P4

Lecture 46 Lists P5

Lecture 47 Code

Lecture 48 Lists P6

Lecture 49 Lists Used cases

Lecture 50 Tuple P1

Lecture 51 Tuple P2

Lecture 52 Tuple P3

Lecture 53 Tuple P4

Lecture 54 Tuple P5

Lecture 55 Code

Lecture 56 Tuple Used Cases

Lecture 57 Dictionary P1

Lecture 58 Dictionary P2

Lecture 59 Dictionary P3

Lecture 60 Code

Section 6: Functions

Lecture 61 Function without arguments

Lecture 62 Code

Lecture 63 Function with arguments

Lecture 64 Code

Lecture 65 Funcation with arbitary arguments p1

Lecture 66 Funcation with arbitary arguments p2

Lecture 67 Funcation with arbitary arguments p3

Lecture 68 Code

Lecture 69 Function with arbitary Keyword arguments

Lecture 70 Code

Lecture 71 Power of function P1

Lecture 72 Power of function P2

Lecture 73 Decorators

Lecture 74 Code

Section 7: Random Library

Lecture 75 Random Number Generator P1

Lecture 76 Code

Lecture 77 Random Number Generator P2

Lecture 78 Code

Section 8: Bonus Series Course

Lecture 79 Bonus Course

Anyone interested in exploring python for RTL Verification



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