Python Learning

python-training Python training for business analysts and traders. This is designed to be an introduction to numerical computing and data visualization in Python. It is not designed to be a complete course in Computer Science or programming, but rather a motivational demonstration of how relatively complex topics can be accessible even to those without formal progamming backgrounds. Creator: J.P. Morgan Stars: ⭐️ 2.9k Forked by: 709 GitHub repo: https://github.com/jpmorganchase/python-training #python #training ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @github_repositories_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

A Guide to SDR and DSP using Python Author: Marc Lichtman Read Online #PySDR #Python ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @programming_books_bds for more

Python print() Function How to Print in Python with Examples In the last post, we completed our first program. It’s time to print a message in python. The print() function in Python is used to print a specified message on the screen. The print command in Python prints strings or objects which are converted to a string while printing on a screen. Syntax:

print(object(s))

How to Print a simple String in Python? More often then not you require to Print strings in your coding construct. Here is how to print statement in Python 3: To print the Welcome to Big Data, use the Python print statement as follows:

1   print ("Welcome to Big Data")

Output: Welcome to Big Data 🔗 Read Online #Python #python_3 ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @python_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Whirlwind Tour Of Python This repository contains the Jupyter Notebooks behind my O'Reilly report, A Whirlwind Tour of Python (free 100-page pdf). A Whirlwind Tour of Python is a fast-paced introduction to essential components of the Python language for researchers and developers who are already familiar with programming in another language. The material is particularly aimed at those who wish to use Python for data science and/or scientific programming, and in this capacity serves as an introduction to The Python Data Science Handbook (also with notebooks on github). These materials are adapted from courses and workshops I've given on these topics at University of Washington and at various conferences, meetings, and workshops around the world. Creator: Jake Vanderplas Stars ⭐️: 3.4k Forked By: 1.5k https://github.com/jakevdp/WhirlwindTourOfPython #python ➖➖➖➖➖➖➖➖➖➖ Join @python_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Hello World: Create your First Python Program In the last post, we completed our Python installation and setup. It’s time to create your first program. Creating First Program Step 1) Open PyCharm Editor. You can see the introductory screen for PyCharm. To create a new project, click on “Create New Project”. Step 2) You will need to select a location. You can select the location where you want the project to be created. If you don’t want to change location than keep it as it is but at least change the name from “untitled” to something more meaningful, like “FirstProject”. PyCharm should have found the Python interpreter you installed earlier. Next Click the “Create” Button. Step 3) Now Go up to the “File” menu and select “New”. Next, select “Python File”. Step 4) A new pop up will appear. Now type the name of the file you want (Here we give “HelloWorld”) and hit “OK”. Step 5) Now type a simple program – print (‘Hello World!’). Step 6) Now Go up to the “Run” menu and select “Run” to run your program. Step 7) You can see the output of your program at the bottom of the screen. Step 8) Don’t worry if you don’t have Pycharm Editor installed, you can still run the code from the command prompt. Enter the correct path of a file in command prompt to run the program. Step 9) If you are still not able to run the program, we have Python Editor for you. Please run the given code at Python Online Editor 🔗 Read Online #Python #helloworld ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @python_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

python-mastery Advanced Python Mastery (course by dabeaz) Creator: Dabeaz LLC Stars ⭐️: 4.4k Forked By: 482 https://github.com/dabeaz-course/python-mastery #python #mastery ➖➖➖➖➖➖➖➖➖➖ Join @python_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

12 hours of Python course on YouTube ⭐️Time Stamps⭐️ #1 (00:00:00)​ Python tutorial for beginners 🐍 #2 (00:05:57​) variables ✘ #3 (00;17;38​) multiple assignment 🔠 #4 (00:20:27​) string methods 〰️ #5 (00:25:13​) type cast 💱 #6 (00:30:14​) user input ⌨️ #7 (00:36:50​) math functions 🧮 #8 (00:40:58​) string slicing ✂️ #9 (00:51:52​) if statements 🤔 #10 (00:58:19)​ logical operators 🔣 #11 (01:04:03​) while loops 🔄 #12 (01:07:31​) for loops ➰ #13 (01:13:04​) nested loops ➿ #14 (01:17:08) break continue pass ⛔️ #15 (01:21:06​) lists 🧾 #16 (01:26:58​) 2D lists 📜 #17 (01:30:47​) tuples 📄 #18 (01:33:47​) sets 🍴 #19 (01:40:03​) dictionaries 📖 #20 (01:47:20​) indexing 📑 #21 (01:53:23​) functions 📞 #22 (02:02:03​) return statement 🔙 #23 (02:04:51) keyword arguments 🔑 #24 (02:07:09​) nested function calls 🖇 #25 (02:09:40​) variable scope 🔬 #26 (02:13:23​) *args 📦 #27 (02:16:58​) **kwargs 🎁 #28 (02:21:17​) string format 💬 #29 (02:33:22​) random numbers 🎲 #30 (02:36:43​) exception handling ⚠️ #31 (02:43:40) file detection 📁 #32 (02:47:28​) read a file 🔍 #33 (02:51:00​) write a file 📝 #34 (02:53:45​) copy a file 🖨 #35 (02:57:05​) move a file 🗃 #36 (03:01:20​) delete a file 🗑 #37 (03:06:15​) modules 💌 #38 (03:10:26) rock, paper, scissors game 🗿 #39 (03:18:32​) quiz game 💯 #40 (03:35:45​) Object Oriented Programming (OOP) 🐍 #41 (03:45:06​) class variables 🚗 #42 (03:48:54​) inheritance 👪 #43 (03:55:30​) multilevel inheritance 👴 #44 (03:58:32) multiple inheritance 👨‍👩‍👧‍👦 #45 (04:01:49) method overriding 🙅 #46 (04:04:14​) method chaining ⛓ #47 (04:08:08) super function 🦸 #48 (04:12:09​) abstract classes 👻 #49 (04:19:12) objects as arguments 🏍 #50 (04:23:20​) duck typing 🦆 #51 (04:27:38) walrus operator 🦦 #52 (04:31:45​) functions to variables 📛 #53 (04:35:21​) higher order functions 👑 #54 (04:41:06​) lambda λ #55 (04:45:44​) sort 🗄 #56 (04:53:22​) map 🗺 #57 (04:57:17​) filter 🍺 #58 (05:00:10​) reduce ♻️ #59 (05:04:54​) list comprehensions 📰 #60 (05:10:54) dictionary comprehensions 🕮 #61 (05:18:59​) zip function 🤐 #62 (05:23:41​) if name == 'main' ❓ #63 (05:29:21​) time module ⌚️ #64 (05:39:58​) threading 🧵 #65 (05:53:31​) daemon threads 😈 #66 (05:58:19​) multiprocessing ⚡️ #67 (06:07:15​) GUI windows 🖼 #68 (06:14:38​) labels 🏷 #69 (06:24:24​) buttons 🛎 #70 (06:30:44​) entrybox ⌨️ #71 (06:40:15​) checkbox ✔️ #72 (06:49:08​) radio buttons 🔘 #73 (07:00:47​) scale 🌡 #74 (07:10:24​) listbox 📋 #75 (07:24:41​) messagebox 💭 #76 (07:37:17​) colorchooser 🎨 #77 (07:43:10​) text area 📒 #78 (07:48:38​) open a file (file dialog) 📁 #79 (07:55:33​) save a file (file dialog) 💾 #80 (08:05:17​) menubar 🧾 #81 (08:15:23​) frames ⚰️ #82 (08:21:30​) new windows 🗔 #83 (08:25:32​) window tabs 📑 #84 (08:30:52​) grid 🏢 #85 (08:39:52​) progress bar 📊 #86 (08:49:48​) canvas 🖍 #87 (09:01:18​) keyboard events ⌨️ #88 (09:05:54​) mouse events 🖱 #89 (09:11:00​) drag & drop 👈 #90 (09:18:18​) move images w/ keys 🏎 #91 (09:29:13​) animations 🛸 #92 (09:41:31​) multiple animations 🎞 #93 (09:53:04​) clock program 🕒 #94 (10:01:03​) send an email 📧 #95 (10:07:37​) run with command prompt 👨‍💻 #96 (10:09:53) pip 🏗 #97 (10:13:30) py to exe 🏃 #98 (10:17:13​) calculator program 🖩 #99 (10:31:38​) text editor program ✏️ 100 (11:05:51) tic tac toe game ⭕️ 101 (11:26:25)​ snake game 🐍 🔗 Course link