Arkadaşlar merhaba, 2011 A3 1.4 TFSI’dan 2012 A5 dizele geçtim. Alışamadığım bazı durumlar var, yardımcı olabilir misiniz? Peşinen teşekkür ederim cevap verecek arkadaşlara.

Gaz tepkimesi benzinli A3’te daha hassastı. Özellikle arabayı çalıştırınca hafif bi kalkış için hafif basıyorum, kalkmıyo, biraz daha basıyorum bu sefer fırlıyo (ayağım biraz alıştı 2 haftada, orası ayrı)

Fren pedalı da değişik. Özellikle trafikte duruşa yakınsayınca bi tık daha sert basmam gerekiyo, yoksa araba durmayacakmış hissi veriyo.

Rölantide biraz hızlı yakıt tüketimi artıyo sanki. Benzinli A3’te bu olmazdı. Arabayı aldıktan sonra şanzuman yağ ve su kaçağı için ustaya verdim, her şey bittikten sonra usta rölantide çalıştırmış ben gitmeden önce. Yakıt tüketimi 38 diyodu. Oğlum 38 ne lan dedim, demek 1.5 saat çalışsa bütün depoyu yakacak. Bu normal mi? Bana hiç normal gelmiyo.

Geri geri parkederken ayağımı gazdan çekince araba öne doğrı gidiyo. Geriye kaçırmıyo ama öne kaçırıyo :))

merhaba arkadaşlar,

cevap veren, yardımcı olan arkadaşlara peşinen teşekkür ederim.

bu sorularımın cevabını en iyi burada alabilirim diye düşünüyorum. programlamanın, yazılımın mantığını da öğrenmem gerekiyor, biliyorum ama bunu bi kenarda tutuyorum. sonuçta dilleri bilmeden mantığını bilmemin bi anlamı olmayacak.

sıfırdan başlayan biriyim ve bilgisayarla uğraşmayı seviyorum. ingilizcem anadil seviyesinde. sorum şu: aşağıya linkini bırakacağım videolardan python'u öğrensem, ve yine linkini aşağıya bırakacağım siteden python'a ders kitabı gibi çalışsam, üzerine html-js-css ve react öğrensem, staj yapabilecek ve sonrasında iş bulabilecek kıvama gelir miyim? if yes, günde 3 saat çalışma ile ne kadar sürer bu?

Bro Codeyoutube

Python tutorial for beginners full course #python #tutorial #beginners ⭐️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 🐍 🎮 GAMES & PROJECTS 🎮 rock, paper, scissors game 🗿 quiz game 💯 clock program 🕒 calculator program 🖩 text editor program ✏️ tic tac toe game ⭕ snake game 🐍 Here's the link to the full playlist: https://www.youtube.com/playlist?list=PLZPZq0r_RZOOkUQbat8LyQii36cJf2SWT Code for each topic can be found pinned to each video's comments section music credits 🎼 : =========================================================== Beat Your Competition - Vibe Tracks https://youtu.be/bll5zsOGNKA​ =========================================================== Twelve Speed - Slynk https://www.youtube.com/watch?v=jsTEUi-kegE&ab_channel=Slynk =========================================================== Up In My Jam (All Of A Sudden) by - Kubbi https://soundcloud.com/kubbi Creative Commons — Attribution-ShareAlike 3.0 Unported— CC BY-SA 3.0 Free Download / Stream: http://bit.ly/2JnDfCE Music promoted by Audio Library https://youtu.be/tDexBj46oNI ===========================================================

https://www.youtube.com/watch?v=XKHEtdqhLK8&t=11166s

freeCodeCamp.orgyoutube

This Python 3 tutorial course aims to teach everyone the basics of programming computers using Python. The course has no pre-requisites and avoids all but the simplest mathematics. 🔗 Sample Code Zip: https://www.py4e.com/code3.zip 🔗 Lecture Slides and Handouts: https://www.py4e.com/lectures3/ 🔗 Free Textbook: https://www.py4e.com/book.php 🔗 Course Website: https://www.py4e.com/ ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Why Program? ⌨️ (0:12:21) Why Program? - Hardware Architecture ⌨️ (0:24:24) Python 3 Windows Installation ⌨️ (0:32:34) Python 3 Mac Installation ⌨️ (0:36:41) Why Program? - Python as a Language ⌨️ (0:44:17) Why Program? - What do we say? ⌨️ (0:56:55) Variables, Expressions, and Statements ⌨️ (1:06:20) Variables, Expressions, and Statements - Expressions ⌨️ (1:26:00) Conditional Execution ⌨️ (1:39:13) Conditional Execution - More Conditional Structures ⌨️ (1:52:48) Functions ⌨️ (2:03:02) Functions - Functions of our own ⌨️ (2:15:21) Loops and Iteration ⌨️ (2:25:04) Loops and Iteration - Definite Loops ⌨️ (2:31:40) Loops and Iteration - Loop Idioms ⌨️ (2:40:07) Loops and Iteration - More Loop Patterns ⌨️ (2:58:39) Strings ⌨️ (3:09:06) Strings - More String Operations ⌨️ (3:27:33) Reading Files ⌨️ (3:35:12) Reading Files - Reading Files in Python ⌨️ (3:48:42) Python Lists ⌨️ (3:59:27) Python Lists - Loop Operations ⌨️ (4:08:52) Python Lists - Strings vs. Lists ⌨️ (4:16:42) Python Lists - Strings, Files, Lists & the Guardian Pattern ⌨️ (4:28:44) Dictionaries ⌨️ (4:36:32) Dictionaries - Counting ⌨️ (4:45:43) Dictionaries - Counting Words in Text ⌨️ (4:58:21) Dictionaries - Counting Word Frequency Using a Dictionary ⌨️ (5:22:46) Tuples ⌨️ (5:32:18) Tuples - Sorting ⌨️ (5:44:26) Tuples - Sorting a Dictionary Using Tuples ⌨️ (5:54:56) Regular Expressions ⌨️ (6:05:21) Regular Expressions - From Matching to Extracting ⌨️ (6:13:47) Regular Expressions - String Parsing ⌨️ (6:22:17) Networked Programs ⌨️ (6:29:45) Networked Programs - Application Protocols ⌨️ (6:38:56) Networked Programs - Write a Web Browser ⌨️ (6:43:10) Networked Programs - Code Example: socket1.py ⌨️ (6:48:58) Networked Programs - Characters and Strings ⌨️ (6:59:57) Networked Programs - urllib ⌨️ (7:05:10) Networked Programs - Code Example: urllib1.py, urlwords.py ⌨️ (7:08:25) Networked Programs - Parsing HTML ⌨️ (7:14:48) Networked Programs - Code Example: urllinks.py ⌨️ (7:23:43) Using Web Services ⌨️ (7:26:35) Using Web Services - XML ⌨️ (7:32:02) Using Web Services - Code Example: xml1.py, xml2.py ⌨️ (7:37:40) Using Web Services - XML Schema ⌨️ (7:51:32) Using Web Services - JavaScipt Notation ⌨️ (7:57:45) Using Web Services - Code Example: json1.py, json2.py ⌨️ (8:03:08) Using Web Services - Service Oriented Approach ⌨️ (8:04:44) Using Web Services - Web Services ⌨️ (8:11:33) Using Web Services - Code Example: geojson.py ⌨️ (8:18:49) Using Web Services - API Security & Rate Limiting ⌨️ (8:28:45) Using Web Services - Code Example: twitter1.py, twitter2.py ⌨️ (8:48:01) Python Objects ⌨️ (8:58:28) Python Objects - Sample Code ⌨️ (9:06:50) Python Objects - Object Lifecycle ⌨️ (9:13:19) Python Objects - Inheritance ⌨️ (9:20:44) Databases ⌨️ (9:35:55) Databases - SQLite Browser ⌨️ (9:45:40) Databases - Code Sample: emaildb.py ⌨️ (9:58:55) Databases - Code Sample: twspider.py ⌨️ (10:08:06) Databases - Database Design ⌨️ (10:16:29) Databases - Representing Relationships ⌨️ (10:20:37) Databases - Relationship Building ⌨️ (10:33:05) Databases - Join Operation ⌨️ (10:43:13) Databases - Code Sample: tracks.py ⌨️ (10:57:45) Databases - Many-to-Many Relationships ⌨️ (11:09:37) Databases - Code Sample: roster.py ⌨️ (11:20:40) Databases - Code Sample: twspider.py ⌨️ (11:20:40) Data Visualization ⌨️ (11:48:18) Data Visualization - Code Sample: Geodata ⌨️ (12:01:05) Data Visualization - Page Rank ⌨️ (12:12:14) Data Visualization - Code Sample: Pagerank Spidering ⌨️ (12:29:12) Data Visualization - Code Sample: Pagerank Computation ⌨️ (12:44:17) Data Visualization - Code Sample: Pagerank Visualization ⌨️ (12:44:17) Data Visualization - Mailing List Crawl ⌨️ (12:57:08) Data Visualization - Code Sample: Gmane Data Retrieval ⌨️ (13:13:42) Data Visualization - Code Sample: Gmane Data Modeling ⌨️ (13:26:04) Data Visualization - Code Sample: Gmane Data Visualization This course was created by Dr. Charles Severance (a.k.a. Dr. Chuck). He is a Clinical Professor at the University of Michigan School of Information, where he teaches various technology-oriented courses including programming, database design, and Web development. "Python for Everybody" by Dr. Chuck Severance and the University of Michigan is licensed under CC BY. -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp

https://www.youtube.com/watch?v=8DvywoWv6fI&t=5100s

python-istihza.yazbel.com

Python Programlama Dili — Python 3 için Türkçe Kılavuz

https://python-istihza.yazbel.com