background top icon
background center wave icon
background filled rhombus icon
background two lines icon
background stroke rhombus icon

Ajouter "Python Basics | Python Tutorial For Beginners | Learn Python Programming from Scratch | Edureka"

input logo icon
Tags vidéo
|

Tags vidéo

yt:cc=on
python basics
learn python basics
python basics for beginners
python for beginners
python tutorial
python tutorial for beginners
python tutorials
python programming
learn python programming
python programming tutorial
python programming language
python (programming language)
python from scratch
learn python
introduction to python
what is python
python tutorial 2021
python operators
python edureka
edureka
python training
Edureka python
pythonedureka
pythonbasics
pythontutorialforbeginners
learnpython
pythonforbeginners
pythonprogramming
pythontutorial
pythontraining
Vous avez déjà installé UDL Helper Vous pouvez télécharger vidéo en seul clic !
Installé
pour
Google Chrome

Description :

🔥Edureka Python Certification Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/python-programming-certification-training This Edureka video on 'Python Basics' will help you understand what exactly makes Python Programming language special and covers all the basics of Python programming along with examples. Below are the topics covered in this python tutorial for beginners: 00:00 Introduction to Python 01:10 What is Python? 03:03 Features of Python 05:33 Who uses Python? 07:08 Starting off with Python Basics 15:56 Data Types 57:54 Operators 01:07:50 Flow Control 01:19:05 Functions 01:24:37 File Handling 🔵Python Tutorial - Full Course: https://www.youtube.com/watch?v=WGJJIrtnfpk 🔸Edureka Python Tutorial Playlist: https://www.youtube.com/playlist?list=PL9ooVrP1hQOHY-BeYrKHDrHKphsJOyRyu 🔸Edureka Python Tutorial Blog Series: https://www.edureka.co/blog/python-tutorial/ 🔥 Python Masters Program: https://www.edureka.co/masters-program/python-developer-training 🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://www.youtube.com/user/edurekaIN?sub_confirmation=1 Instagram: https://www.facebook.com/unsupportedbrowser Facebook: https://www.facebook.com/unsupportedbrowser Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Slideshare: https://www.slideshare.net/EdurekaIN ----------------------------------------------------------------------------------------------------------------------------------- How it Works? 1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Master the Basic and Advanced Concepts of Python 2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs 3. Master the Concepts of Sequences and File operations 4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python 5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application 6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 7. Master the concepts of MapReduce in Hadoop 8. Learn to write Complex MapReduce programs 9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python 10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics 11. Master the concepts of Web scraping in Python 12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands-on Project Experience - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. Who should go for python? Edureka’s Data Science certification course in Python is a good fit for the below professionals: · Programmers, Developers, Technical Leads, Architects · Developers aspiring to be a ‘Machine Learning Engineer' · Analytics Managers who are leading a team of analysts · Business Analysts who want to understand Machine Learning (ML) Techniques · Information Architects who want to gain expertise in Predictive Analytics · 'Python' professionals who want to design automatic predictive models For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free)

Préparation des options de chargement

popular icon
Populaire
hd icon
HD vidéo
audio icon
Seulement le son
total icon
Tous les formats
* - Si la vidéo est lue dans un nouvel onglet, allez-y, puis faites un clic droit sur la vidéo et sélectionnez "Enregistrer la vidéo sous..."
** - Lien est destiné à la lecture en ligne dans des lecteurs spécialisés