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Python for Beginners
Rating: 4.4 out of 5(57 ratings)
267 students

Python for Beginners

Learn Python like a Professional, Start from the basics and go all the way to creating your own applications.
Created byMohd Daneyal Hasan Lari
Last updated 3/2024
English
English [Auto],

What you'll learn

  • In this course students learn python from basic to advance.
  • Detail working of Data Structure like list, tuple, set, dictionary, array etc
  • Fundamentals like keywords, variables, data types, type conversion, identifiers, Operators, id() and type() functions, etc..
  • File handling with examples
  • String Manipulations in detail with more than 30 methods with explanations
  • OOP programming implementation
  • Advance topics in details like Higher Order Functions, Closures, Decorators

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

19 sections • 107 lectures • 20h 30m total length

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  • Python Installation and Eclipse Setup11:28

    Install Python from python.org, set up the interactive shell, write simple programs using variables, prints, and conditionals, and configure Eclipse with the Python plugin to set the interpreter.

  • Different Ways to Run Python Code10:15

    Explore multiple methods to run Python code, including interactive shell execution and external script files, and learn to run Python via the Eclipse IDE.

  • Keywords in Python6:38

    Discover python keywords, reserved words with special meanings, and why they cannot be used as identifiers; learn to view keyword lists with help('keywords') and the keyword module.

  • Variables in Python8:37

    Explain how Python variables are memory locations that hold values, declared by assignment and accessed by name; use type() to check types and avoid keywords or starting with a digit.

  • Data Types in Python20:00
  • Type Casting in Python19:18
  • Identifiers in Python18:36

    Identifiers in python are tokens for variables, functions, classes. Follow naming rules with letters, digits, and underscores; do not start with a digit, identifiers are case sensitive and not keywords.

  • Add Two Numbers
  • Solution of Add Two Numbers0:07
  • Operators in Python Part-128:23

    Learn how Python operators work across arithmetic, assignment, relational, logical, and special categories like membership and identity, with examples of division, floor division, modulus, and exponent.

  • Operators in Python Part-221:55

    Explore Python bitwise operators, including and, or, xor, not; learn left and right shifts, membership tests with in and not in, and identity checks with is and is not.

  • id() Function in Python5:06

    Learn how the built-in id() function in Python returns the unique identity, or address, of an object, and how this helps understand mutability and immutability through object lifetime.

  • Temperature converter
  • Solution of Temperature converter0:12
  • Basic Programming
  • Practice Test on Fundamental
  • Practice Test on Fundamental -2

Requirements

  • Although there are no hard pre-requisites, attendees having prior programming experience and familiarity with basic concepts such as variables/scopes, flow-control, and functions would be beneficial.

Description

Whether you want to:

- build the skills you need to get your first Python programming job

- move to a more senior software developer position

- get started with Machine Learning, Data Science, Django, or other hot areas that Python specializes in

- or just learn Python to be able to create your own Python apps quickly.

…then you need a solid foundation in Python programming. And this course is designed to give you those core skills, fast.

Python :

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. This course will cover both basic and advance concepts of Python like writing python scripts, sequence and file operations in python, Machine Learning in Python, Web Scraping, Map Reduce in Python, Hadoop Streaming, Python UDF for Pig and Hive. You will also go through important and most widely used packages like pydoop, pandas, scikit, numpy scipy etc.


Course Objective :

After the completion of the this Python Course at, you should be able to:

  • Master the Basic and Advanced Concepts of Python.

  • Understand Python Scripts on UNIX/Windows, Python Editors, and IDEs.

  • Master the Concepts of Python fundamentals like keywords, variables, data types, loops, string manipulation, etc.

Who this course is for:

  • All who wish to learn 'Python'.
  • High School / 10+2 / BTech / MTech / BCA / MCA / Bsc or Msc Computer Science Students.
  • Working Professionals from Corporate.

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