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Python Programming - From Basics to Advanced level

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EdYoda Digital University,Dipesh Sharma

7:57:06

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  • 001 Why Python.mp4
    02:09
  • 002 How to install Python and Sublime text.mp4
    06:46
  • 003 Variable Declaration and Memory Allocation.mp4
    07:18
  • 004 Builtin Python Datatypes.mp4
    13:43
  • 005 Python Operators.mp4
    21:22
  • external-links.txt
  • 001 Conditional Statements if, elif, else.mp4
    08:57
  • 002 Iterating using For loop Syntax.mp4
    12:14
  • 003 Iterating using For loop Continue Break enumerate.mp4
    12:17
  • 004 Iterating using While Loop Syntax.mp4
    03:43
  • 005 Python Assignment - 1 Conditional and Looping Statements.mp4
    03:16
  • 001 Str Data Type Indexing Slicing Striding - Closer look at python data types.mp4
    13:08
  • 002 Str Data Type Built-in functions - Closer look at python data types.mp4
    24:03
  • 003 List Data Type Indexing Slicing Append - Extend - Insert - Closer look at.mp4
    13:36
  • 004 List Data Type Update and Delete Operations - Closer look at python data types.mp4
    08:35
  • 005 Tuple Data Type - Closer look at python data types.mp4
    06:14
  • 006 Dictionary Data Type Storing and Accessing the data in dictionaries.mp4
    14:31
  • 007 Dictionary Data Type Update and Delete Operations.mp4
    06:11
  • 008 Set Data Type Add - Update - Delete operations.mp4
    16:00
  • 009 Working with Math and Random Modules Math functions Random Number Generator.mp4
    13:59
  • 001 Getting Started with User Defined Functions.mp4
    08:43
  • 002 Parameter Passing Techniques Positional - Default - Keyword Parameters.mp4
    18:31
  • 003 Parameter Passing Techniques Variable Length Positional and Keyword Parameters.mp4
    08:17
  • 004 Writing Recursive Functions.mp4
    15:18
  • 001 Creating Modules and Packages.mp4
    08:29
  • 002 Introduction to RE Module Regx Meta-characters.mp4
    14:10
  • 003 RE Module Groups.mp4
    11:48
  • 001 List Comprehension - Dict Comprehension.mp4
    14:33
  • 002 Functional Programming Map - Filter - Lambda.mp4
    13:30
  • 003 Function Iterators Generator functions.mp4
    10:25
  • 004 Iterators and Itertools.mp4
    13:37
  • 001 Getting started with file operations.mp4
    09:26
  • 002 File Operations Read - Write - Append.mp4
    18:32
  • 003 Parsing JSON files using Python.mp4
    10:27
  • 004 Parsing XML files using xmltodict.mp4
    05:45
  • 001 Introduction to Object Oriented Programming.mp4
    21:15
  • 002 Object Oriented Programming - Class Method and Static Method.mp4
    12:18
  • 003 Object Oriented Programming - Inheritance.mp4
    14:41
  • 001 Web Scraping using BeautifulSoup.mp4
    16:44
  • 002 Executing Database Queries Using Python sqlite3 Module.mp4
    10:26
  • 001 Python Decorators.mp4
    07:07
  • 002 Python Quiz.mp4
    05:02
  • Description


    This Python for beginners course will help you to become Zero to Hero. Learn Python Programming in Easy Way.

    What You'll Learn?


    • Introduction to Python and Python 3
    • Understand the basics: Data types, Loops, Conditional statements, Functions and Modules
    • Learn object oriented programming in Python
    • Know how to Read and Parse JSON and XML files
    • Learn how to make your own web-scraping tool using Python

    Who is this for?


  • Beginners looking to get started with Python Programming
  • Beginners who want to be a Python Developer
  • Beginner Python Developers curious about Web Scraping
  • Developers who wish to master Python
  • What You Need to Know?


  • Basic problem solving skills
  • Knowledge of any programming language will be an add-on
  • More details


    Description

    In this python course -

    We will start with Python Installation and a few basics of Python. Along the journey,
    You will Learn.
    1) All the Python data types and built-in methods in depth.
    2) User-defined functions, different parameter passing techniques, and object-oriented Python programming concepts.
    3) The must-know concepts in Python programming like list comprehension, map function, filter Function, generators, iterators, and itertools. 4) And also cover web scraping using beautifulSoup, multi-threading, and database access.

    Once you reach here you can start the new journey to learn domain-specific python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras for machine learning. Django, flask for web development. PySpark for big data processing and many more...

    By the end of the course, you’ll be able to apply in confidence for Python programming jobs with the right skills which you will learn in this course.

    Here’s what a few students have told us about the Python programming course after going through it

    "This course is so recommended to anyone who wants to learn python. It clearly teaches you several important things even experts fail to deliver. It also teaches so many different ways and how to tackle some interview questions. Very thorough and easy to understand. The instructor is amazing."- Aishwarya Baliga

    "That was a very thorough and informative course. The instructor was very pleasant. Thank you!" - Olga Abrosimova

    "It's is explained very clearly, that a beginner can understand very well. Best teacher!!"- Rapaka Sujana

    "One the best course out on internet to learn python programming right from basics to advanced" - Prithviraj Mane

    "hi am newbee in Python. Still am in the early stages only. The tutor giving wonderful explanation and it's sounds very clear and understandable."- Mohamed Mohiadeen Rifay

    And many more.


    Why a Python programming course.?

    Python
    is an interpreted, object-oriented, high-level programming language.
    Python is an open-source programming language with more than 1 million libraries and more than 100,000 active contributors.
    Python is also known for its simplicity as compared to other programming languages.

    Artificial Intelligence or Web Development or IoT or Big Data Analysis or Cloud Application Development or Automation domain you can find n number of use cases for Python.

    And Python is the number one language choice for machine learning, data science, and artificial intelligence. To get those high paying jobs you need expert knowledge of Python, and that’s what you will get from this course.

    Python Career Opportunities -

    • Python developer: This is one of the most direct jobs that you can expect to land after acquiring this skill. What does a Python developer do? Here are a few key responsibilities:

    1. Build websites

    2. Resolve problems related to data analytics

    3. Write codes that are both reusable and efficient

    4. Optimize data algorithms

    5. Implement data protection and security

    • Data analyst: This is a very interesting opportunity. It is especially for those who like working with huge amounts of data and finding meaning in that data. This is again a very popular job role. There are many companies that are looking for people who can work with the large sets of data that they have access to. These companies are looking for people skilled in Python because Pandas, SciPy, and other Python libraries come in very handy in accomplishing this task. No wonder more and more companies are looking for data analysts with experience in python to fill open positions.

    • Product manager: Product managers have a very important role to play when it comes to helping businesses to understand the market and why building one product will be better than building another. They study the market, research for new features related to a particular product or category and advocate the building of certain products with facts. Data is a very important part of the work they do. This is why most companies today are looking for product managers that are skilled in python.

    • Machine learning engineer: If you don’t already know, then let us tell you that the job postings for this position have increased by more than 330% in the last couple of years. If you are skilled in python, you will be given preference over other candidates. A machine learning engineer builds and trains machines, programs, and other computer-based systems to apply their learned knowledge for making predictions. Python’s ability to work with data automation and algorithms makes it the ideal programming language that can be used in machine learning.

    ----------

    Start your career as a python engineer and don't worry this course comes with a 30-day money-back guarantee!
    If you are not satisfied in any way, you'll get your money back. (I’m sure you will enjoy this Python programming course)

    Wish you the best for your Python programming journey.


    Enroll now!! See you in class.


    Happy learning!
    Team Edyoda

    Who this course is for:

    • Beginners looking to get started with Python Programming
    • Beginners who want to be a Python Developer
    • Beginner Python Developers curious about Web Scraping
    • Developers who wish to master Python

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    EdYoda Digital University
    EdYoda Digital University
    Instructor's Courses
    EdYoda is re-imagining skill based education, educating on job-relevant real world skills. Edyoda courses are on job-relevant technical skills. We have professional team of instructors, some of the courses we specialize in are Web development, Mobile App Development, Cloud & DevOps, Machine Learning, Artificial Intelligence and Big Data.We believe that access to education and opportunities is the biggest enabler and we are on a mission to enable the same for everyone across the world.
    Dipesh Sharma
    Dipesh Sharma
    Instructor's Courses
    I am a software developer working at edyoda. I know Python, Django, Reactjs, Machine Learning
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 41
    • duration 7:57:06
    • Release Date 2023/12/16