About the Course
The course was originally given in the Weizmann Institute of Science to Biology and Chemistry students who don't have programming background.
Therefore the course goes beyond teaching the basics of the Python programming language. It also includes tons of information about general programming concepts on one hand and advanced topics such as Numpy and Pandas on the other hand.
Course content
Content
Available in
days
days
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- Overview and Administrative Information
- Part 1 - Introduction to the Bootcam - Slides - What is Python? (27:51)
- Part 2 - First steps - Installing Python - Editor, IDE for Python - Hello World - Variables (50:11)
- Part 3 - What is programming? - Literals, Value Types - Let's eat grandpa! Words and punctuation matter! - Getting help on StackOverflow (49:28)
- Part 4 - Variables. Assignment. Multiplying numbers and strings. (10:00)
- Part 5 - The math module of Python. - Interactive shell - REPL - Modules: the sys module - Indentation - __main__ (43:32)
- Part 6 - Input/Output - input() - print() - Conditionals: if, else, elif - Ternary operator (60:36)
- Part 7 - Command line arguments - len - PyPi - Exit code (44:18)
- Part 8 - Compilation vs. Interpretation - Flake 8 - Numbers - Random numbers - __future__ - Various Exceptions (55:39)
- Part 9 - Comparison and Boolean operators (and, or, not) - Flag - Toggle - MS Windows (51:24)
- Part 10 - Strings - String slice - substr, index, rindex, len, upper, lower, ord, chr - Encodings: ASCII, Windows-1255, Unicode - The in operator - Refactoring (78:51)
- Part 11 - Loops - for-in and while loops - break - continue - Exit vs. return vs. break and continue. (62:55)
- Part 12 - Solutions for the exercises - What is the difference between == and the "is" operator? (51:30)
- Part 13 - Solutions for the exercises (20:37)
- Part 14 - Formatted Printing - sprintf - f-strings - templates - List chapter - List slice with steps - shallow copy, deep copy - join - split (61:22)
- Part 15 - Lists - for loop - in, index, insert, remove, append, pop - queue - stack - deque (32:55)
- Part 16 - Solution to the exercises in the first path of the list chapter (24:12)
- Part 17 - Lists cont. - sort, range - list of lists - tuples (37:37)
- Part 18 - Solutions to the exercises - Discussing Algorithm complexity. (85:42)
- Part 19 - Files - Open vs. Read vs. Load - Writing and appending to a file - slurp - Exception hierarchy of Python (62:21)
- Part 20 - Solutions to the exercises in the files chapter (68:13)
- Part 21 - Dictionaries - keys(), values(), items(), in, del(), pop() - Hashing algorithms: (md5, sha1). (52:03)
- Part 22 - Solutions - defaultdict (42:41)
- Part 23 - Solutions - Y2K bug, Bug 2000, Year 2038 problem (38:54)
- Part 24 - Sets - Venn diagram (16:11)
- Part 25 - Functions - arguments - Recursive functions - *, ** - Returning multiple values (77:22)
- Part 26 - Solutions - The _ placeholder variable (58:02)
- Part 27 - Modules - Creating module - Finding modules to import - import, from - __pycache__ - pylint (50:38)
- Part 28 - CSV files - Standard Output, Standard Error (28:00)
- Part 29 - Excel files - Installing a module using pip (27:50)
- Part 30 - Python Tk for GUI (68:28)
- Part 31 - Regular Expressions (part I) (60:57)
- Part 32 - Regular Expressions (part II) (91:50)
- Part 33 - Regular Expressions - Solutions (60:16)
- Part 34 - PyCharm (60:33)
- Part 35 - Standard modules (standard packages) - os, os.path, sys, time, sleep - Traverse directory tree - subprocess in the background (47:12)
- Part 36 - Testing Demo - What is testing? Why would you want to write tests? - doctest - unittest - pytest (34:59)
- Part 37 - SciPy - for Scientific Computing in Python (19:52)
- Part 38 - Biology - BioPython - FASTA - NCBI - GenBank - nucleotides (37:03)
- Part 39 - Numpy - fast matix operations (42:45)
- Part 40 - Programming intro (71:04)
- Part 41 - Pandas - Python Data Analysis Library (61:52)
- Part 42 - Jupyter notebook (62:38)
Projects
Available in
days
days
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